tag:blogger.com,1999:blog-83810233879055102172024-03-05T16:19:18.107-08:00zerozerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.comBlogger31125tag:blogger.com,1999:blog-8381023387905510217.post-42437576392059875962013-05-09T01:24:00.000-07:002013-05-09T02:26:29.654-07:00Evolutionary Algorithm<div style="text-align: justify;">
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<span style="font-family: Times,"Times New Roman",serif;"><span style="color: orange;"><span class="longtext"><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Evolutionary Algorithm (Algoritma </span></b></span><span class="longtext"><b style="mso-bidi-font-weight: normal;"><span style="font-family: "Cambria","serif"; font-size: 20.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">E</span></b></span><span class="longtext"><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">volusioner) </span></b></span></span></span></h2>
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<span style="font-family: Times,"Times New Roman",serif;"><span style="color: blue;"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">
</span><span style="color: #38761d;">Sejarah dan Ikhtisar</span></span></span></h3>
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><span title="From Wikipedia, the free encyclopedia"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span title="In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm."><span style="mso-tab-count: 1;">D</span></span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">alam
kecerdasan buatan, algoritma evolusioner (EA) adalah bagian dari komputasi
evolusioner, algoritma optimasi metaheuristik berbasis populasi generik. </span><span title="An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection.">EA
menggunakan mekanisme terinspirasi oleh evolusi biologis, seperti reproduksi,
mutasi, rekombinasi, dan seleksi. </span><span title="Candidate solutions to the optimization problem play the role of individuals in a population, and the fitness function determines the environment within which the solutions "live" (see also cost function).">Solusi
calon untuk masalah optimasi memainkan peran individu dalam suatu populasi, dan
fungsi fitness menentukan lingkungan dimana solusi "hidup" (lihat
juga fungsi biaya). </span><span title="Evolution of the population then takes place after the repeated application of the above operators.">Evolusi
penduduk kemudian terjadi setelah aplikasi berulang dari operator di atas. </span><span title="Artificial evolution (AE) describes a process involving individual evolutionary algorithms; EAs are individual components that participate in an AE.">Buatan
evolusi (AE) menggambarkan proses yang melibatkan algoritma evolusioner
individu, EA merupakan komponen individu yang berpartisipasi dalam AE.</span></span></span></span></span></div>
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<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><span title="From Wikipedia, the free encyclopedia"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Algoritma
evolusioner sering melakukan solusi baik yang mendekati semua jenis masalah
karena mereka idealnya tidak membuat asumsi tentang lanskap kebugaran
mendasari; umum ini ditunjukkan oleh keberhasilan dalam bidang beragam seperti
teknik, seni, biologi, ekonomi, pemasaran, genetika, operasi </span><span title="research, robotics, social sciences, physics, politics and chemistry[citation needed].">penelitian,
robotika, ilmu sosial, fisika, politik dan kimia</span></span><span class="longtext"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">.</span></span><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"> </span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Teknik dari
algoritma evolusioner diterapkan pada model evolusi biologis umumnya terbatas
pada eksplorasi proses evolusi mikro. </span><span title="The computer simulations Tierra and Avida attempt to model macroevolutionary dynamics.">Komputer
simulasi Tierra dan Avida upaya untuk memodelkan dinamika macroevolutionary.</span></span><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"> </span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Dalam
aplikasi yang paling nyata dari EA, kompleksitas komputasi merupakan faktor
melarang. </span><span title="In fact, this computational complexity is due to fitness function evaluation.">Bahkan,
kompleksitas komputasi ini adalah karena evaluasi fungsi fitness. </span><span title="Fitness approximation is one of the solutions to overcome this difficulty.">Kebugaran
pendekatan adalah salah satu solusi untuk mengatasi kesulitan ini. </span><span title="However, seemingly simple EA can solve often complex problems; therefore, there may be no direct link between algorithm complexity and problem complexity.">Namun,
EA tampaknya sederhana dapat memecahkan masalah sering kompleks, sehingga mungkin
tidak ada hubungan langsung antara kompleksitas algoritma dan kompleksitas
masalah.</span></span><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"> </span></span></span></span></div>
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<span style="font-family: Times,"Times New Roman",serif;"><span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span style="color: #6aa84f;"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-tab-count: 1;"> </span></span></span></span></span></span><br />
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span style="color: #6aa84f;"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Sebuah kemungkinan pembatasan banyak algoritma evolusioner adalah kurangnya
yang jelas perbedaan genotipe-fenotip. </span><span title="In nature, the fertilized egg cell undergoes a complex process known as embryogenesis to become a mature phenotype.">Di
alam, yang dibuahi sel telur mengalami proses yang kompleks yang dikenal
sebagai embriogenesis menjadi fenotipe matang. </span><span title="This indirect encoding is believed to make the genetic search more robust (ie reduce the probability of fatal mutations), and also may improve the evolvability of the organism.[1][2] Such indirect (aka generative or developmental) encodings also enable evolution">Ini
encoding tidak langsung diyakini membuat pencarian genetik lebih kuat (yaitu
mengurangi kemungkinan mutasi fatal), dan juga dapat meningkatkan evolvability
organisme tidak langsung (alias generatif atau perkembangan) pengkodean
tersebut. Juga memungkinkan evolusi </span><span title="to exploit the regularity in the environment.[3] Recent work in the field of artificial embryogeny, or artificial developmental systems, seeks to address these concerns.">untuk
mengeksploitasi keteraturan dalam lingkungan</span></span><span class="longtext"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">. </span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Penelitian terbaru di bidang embryogeny buatan, atau sistem perkembangan
buatan, berusaha untuk mengatasi masalah ini. </span><span title="And gene expression programming successfully explores a genotype-phenotype system, where the genotype consists of linear multigenic chromosomes of fixed length and the phenotype consists of multiple expression trees or computer programs of different sizes and shapes.[4]">Dan
gen pemrograman ekspresi berhasil mengeksplorasi sistem genotipe-fenotip, di
mana genotipe terdiri dari kromosom multigenic linear panjang tetap dan
fenotipe terdiri dari beberapa pohon ekspresi atau program komputer ukuran dan
bentuk yang</span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"> </span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">berbeda.</span></span></span></span></span></span></div>
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<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #134f5c;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Pelaksanaan Proses Biologi</span></b></span></span></span></span></span></h3>
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<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Dalam
hal melakukan pelaksanaan proses biologinya, algoritma evolusioner dibagi -
bagi menjadi beberapa tahapan, diantaranya adalah sebagai berikut :</span></span></span></span></span></div>
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<div class="MsoListParagraphCxSpFirst" style="line-height: normal; mso-list: l2 level1 lfo1; text-align: justify; text-indent: -.25in;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-bidi-font-family: Cambria; mso-bidi-theme-font: major-latin; mso-fareast-font-family: Cambria; mso-fareast-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-list: Ignore;">1.<span style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-size-adjust: none; font-size: 7pt; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: normal; line-height: normal;"> </span></span></span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Menghasilkan populasi awal individu secara acak - Generasi pertama</span></span></span></span></span></span></div>
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<div class="MsoListParagraphCxSpMiddle" style="line-height: normal; mso-list: l2 level1 lfo1; text-align: justify; text-indent: -.25in;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-bidi-font-family: Cambria; mso-bidi-theme-font: major-latin; mso-fareast-font-family: Cambria; mso-fareast-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-list: Ignore;">2.<span style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-size-adjust: none; font-size: 7pt; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: normal; line-height: normal;">
</span></span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Mengevaluasi
kebugaran masing-masing individu dalam populasi yang</span></span><span class="longtext"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-bidi-font-family: Cambria; mso-bidi-theme-font: major-latin; mso-fareast-font-family: Cambria; mso-fareast-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-list: Ignore;"> </span></span></span></span></span></span></span><br />
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-bidi-font-family: Cambria; mso-bidi-theme-font: major-latin; mso-fareast-font-family: Cambria; mso-fareast-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-list: Ignore;">3.<span style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-size-adjust: none; font-size: 7pt; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: normal; line-height: normal;"> </span></span></span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Ulangi pada generasi ini sampai terminasi (batas waktu, cukup kebugaran
dicapai, dll):</span></span>
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<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents">
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<span style="font-family: Times,"Times New Roman",serif;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-tab-count: 1;"> <span style="color: #45818e;"> </span></span><span style="color: #45818e;">1.</span></span></span><span style="color: #45818e;"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Pilih individu terbaik cocok untuk reproduksi - orang tua</span></span></span></span></span></span></div>
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</span></span></span></span><span style="font-family: Times,"Times New Roman",serif;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><div class="MsoListParagraphCxSpMiddle" style="line-height: normal; text-align: justify;">
<span style="color: #45818e;"><span class="longtext"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"> 2.</span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Berkembang biak individu baru melalui crossover dan mutasi operasi </span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">untuk
melahirkan keturunan</span></span></span></div>
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<span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-tab-count: 1;"> <span style="color: #45818e;"> </span></span><span style="color: #45818e;">3.</span></span><span style="color: #45818e;"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Mengevaluasi
kebugaran individu individu baru</span></span></span></div>
<span style="color: #45818e;">
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<span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-tab-count: 2;"> <span style="color: #45818e;"> </span></span><span style="color: #45818e;"><span class="longtext">4.</span></span></span><span style="color: #45818e;"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Ganti
populasi paling-fit dengan individu baru</span></span></span></div>
</span></span></span><br />
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<h3>
<span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">
</span><span style="color: #351c75;"><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span title="Evolutionary algorithm techniques">Teknik Algoritma Evolusioner</span></span></b></span></span></span></h3>
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<span style="color: #45818e;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">
</span><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span title="Similar techniques differ in the implementation details and the nature of the particular applied problem."><span style="mso-tab-count: 1;"> </span></span></span><span style="color: #674ea7;"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Teknik yang
mirip berbeda dalam rincian pelaksanaan dan sifat dari masalah diterapkan
tertentu.</span></span></span></span></span></span></div>
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<span style="color: #674ea7;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Algoritma
genetika - ini adalah jenis yang paling populer dari EA. </span><span title="One seeks the solution of a problem in the form of strings of numbers (traditionally binary, although the best representations are usually those that reflect something about the problem being solved), by applying operators such as recombination and mutation (sometimes one, sometimes both)">Satu
mencari solusi dari masalah dalam bentuk string nomor (tradisional biner,
meskipun representasi terbaik biasanya yang mencerminkan sesuatu tentang
masalah yang dipecahkan), dengan menerapkan operator seperti rekombinasi dan
mutasi (kadang-kadang satu, kadang-kadang keduanya) </span><span title=".">. </span><span title="This type of EA is often used in optimization problems.">Jenis EA sering
digunakan dalam masalah optimasi.</span></span></span></span></span></div>
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<span style="color: #674ea7;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Pemrograman
genetik - Berikut solusi dalam bentuk program komputer, dan kebugaran mereka
ditentukan oleh kemampuan mereka untuk memecahkan masalah komputasi.</span></span></span></span></span></div>
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<span style="color: #674ea7;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Evolusi
pemrograman - Serupa dengan pemrograman genetik, tetapi struktur dari program
ini adalah tetap dan parameter numerik yang diizinkan untuk berkembang.</span></span></span></span></span></div>
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<span style="color: #674ea7;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Gene
pemrograman ekspresi - Seperti pemrograman genetik, PMP juga berkembang program
komputer tetapi mengeksplorasi sistem genotipe-fenotip, di mana program
komputer dengan ukuran yang berbeda dikodekan dalam kromosom linear panjang
tetap.</span></span></span></span></span></div>
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<span style="color: #674ea7;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Strategi
Evolusi - Bekerja dengan vektor bilangan real sebagai representasi dari solusi,
dan biasanya menggunakan tingkat mutasi diri adaptif.</span></span></span></span></span></div>
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<span style="color: #674ea7;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Algoritma
memetic - Ini adalah bentuk hibrida metode berbasis populasi. </span><span title="Inspired by the both Darwinian principles of natural evolution and Dawkins' notion of a meme and viewed as a form of population-based algorithm coupled with individual learning procedures capable of performing local refinements.">Terinspirasi
oleh kedua prinsip-prinsip evolusi Darwin alam dan gagasan Dawkins meme yang
dipandang sebagai bentuk algoritma berbasis populasi ditambah dengan prosedur
pembelajaran individu mampu melakukan perbaikan lokal. </span><span title="The focus of the research study is thus to balance been exploration and exploitation in the search.">Fokus
dari penelitian demikian untuk menyeimbangkan telah eksplorasi dan eksploitasi
dalam pencarian.</span></span></span></span></span></div>
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<span style="color: #674ea7;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Evolusi
Diferensial - Berdasarkan perbedaan vektor dan karena itu terutama cocok untuk
masalah optimasi numerik.</span></span></span></span></span></div>
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<span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span style="color: #674ea7;"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Neuroevolution
- Mirip dengan pemrograman genetik tetapi genom merupakan jaringan syaraf
tiruan dengan menggambarkan struktur dan koneksi bobot. </span><span title="The genome encoding can be direct or indirect.">Pengkodean genom dapat
langsung atau tidak langsung.</span></span></span></span></span></span></div>
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<h3>
<span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">
</span><span style="color: #741b47;"><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span title="Related techniques">Teknik Terkait</span></span></b><span class="longtext"><b style="mso-bidi-font-weight: normal;"><span style="font-family: "Cambria","serif"; font-size: 20.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"> atau Teknik yang memiliki kemiripan dalam
Implementasinya</span></b></span></span></span></span></span></h3>
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<li><span style="color: #a64d79;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Algoritma
Swarm, termasuk</span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"> </span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">:</span></span></span></span></span></li>
</ul>
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<div class="MsoListParagraphCxSpMiddle" style="line-height: normal; margin-left: 1.0in; mso-add-space: auto; mso-list: l0 level1 lfo4; text-align: justify; text-indent: -.25in;">
<span style="color: #a64d79;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-bidi-font-family: Cambria; mso-bidi-theme-font: major-latin; mso-fareast-font-family: Cambria; mso-fareast-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-list: Ignore;">1.</span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Ant koloni
optimasi - Berdasarkan gagasan semut mencari makan dengan komunikasi feromon
untuk membentuk jalur. </span><span title="Primarily suited for combinatorial optimization and graph problems.">Terutama
cocok untuk optimasi kombinatorial dan masalah grafik.</span></span></span></span></span></div>
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<div style="text-align: justify;">
<div class="MsoListParagraphCxSpMiddle" style="line-height: normal; margin-left: 1.0in; mso-add-space: auto; mso-list: l0 level1 lfo4; text-align: justify; text-indent: -.25in;">
<span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span style="color: #a64d79;"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-bidi-font-family: Cambria; mso-bidi-theme-font: major-latin; mso-fareast-font-family: Cambria; mso-fareast-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-list: Ignore;">2.</span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Algoritma
lebah didasarkan pada perilaku mencari makan lebah madu. </span><span title="It has been applied in many applications such as routing and scheduling.">Telah
diterapkan di banyak aplikasi seperti routing dan penjadwalan.</span></span></span></span></span></span></div>
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<div style="text-align: justify;">
<div class="MsoListParagraphCxSpMiddle" style="line-height: normal; margin-left: 1.0in; mso-add-space: auto; mso-list: l0 level1 lfo4; text-align: justify; text-indent: -.25in;">
<span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span style="color: #a64d79;"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-bidi-font-family: Cambria; mso-bidi-theme-font: major-latin; mso-fareast-font-family: Cambria; mso-fareast-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-list: Ignore;">3.</span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Pencarian
Cuckoo terinspirasi oleh parasitisme merenung dari spesies cuckoo. </span><span title="It also uses Lévy flights, and thus it suits for global optimization problems.">Ia
juga menggunakan penerbangan Retribusi, sehingga cocok untuk masalah optimasi
global.</span></span></span></span></span></span></div>
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<div style="text-align: justify;">
<div class="MsoListParagraphCxSpMiddle" style="line-height: normal; margin-left: 1.0in; mso-add-space: auto; mso-list: l0 level1 lfo4; text-align: justify; text-indent: -.25in;">
<span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span style="color: #a64d79;"><span class="longtext"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-bidi-font-family: Cambria; mso-bidi-theme-font: major-latin; mso-fareast-font-family: Cambria; mso-fareast-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-list: Ignore;">4.</span></span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Partikel swarm optimasi - Berdasarkan gagasan hewan berkelompok perilaku. </span><span title="Also primarily suited for numerical optimization problems.">Juga
terutama cocok untuk masalah optimasi numerik.</span></span></span></span></span></span></div>
<span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents">
</span></span></span></div>
<div style="text-align: justify;">
<span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span style="color: #a64d79;">
</span></span></span></span></div>
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents">
<span style="color: #a64d79;">
</span></span></span></span></span><br />
<ul>
<li><span style="font-family: Times,"Times New Roman",serif;"><span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><div class="MsoListParagraphCxSpMiddle" style="line-height: normal; mso-list: l3 level1 lfo3; text-align: justify; text-indent: -.25in;">
<span style="color: #a64d79;"><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Metode
metaheuristik berbasis populasi lainnya</span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;"> </span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">:</span></span></span></div>
</span></span></span></span></li>
</ul>
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span style="color: #a64d79;">
</span></span></span></span></span>
<br />
<div class="MsoListParagraphCxSpMiddle" style="line-height: normal; margin-left: 1.0in; mso-add-space: auto; mso-list: l4 level1 lfo5; text-align: justify; text-indent: -.25in;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span style="color: #a64d79;"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-bidi-font-family: Cambria; mso-bidi-theme-font: major-latin; mso-fareast-font-family: Cambria; mso-fareast-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-list: Ignore;">1.</span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Algoritma
Firefly terinspirasi oleh perilaku kunang-kunang, menarik satu sama lain dengan
lampu berkedip. </span><span title="This is especially useful for multimodal optimization.">Hal ini sangat
berguna untuk optimasi multimodal.</span></span></span></span></span></span></span></div>
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents">
<span style="color: #a64d79;">
</span></span></span></span></span><br />
<div class="MsoListParagraphCxSpMiddle" style="line-height: normal; margin-left: 1.0in; mso-add-space: auto; mso-list: l4 level1 lfo5; text-align: justify; text-indent: -.25in;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents"><span style="color: #a64d79;"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-bidi-font-family: Cambria; mso-bidi-theme-font: major-latin; mso-fareast-font-family: Cambria; mso-fareast-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-list: Ignore;">2.</span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Harmony
search - Berdasarkan gagasan perilaku musisi dalam mencari harmoni yang lebih
baik. </span><span title="This algorithm is suitable for combinatorial optimization as well as parameter optimization.">Algoritma
ini cocok untuk optimasi kombinatorial serta optimasi parameter.</span></span></span></span></span></span></span></div>
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents">
<span style="color: #a64d79;">
</span><div class="MsoListParagraphCxSpLast" style="line-height: normal; margin-left: 1.0in; mso-add-space: auto; mso-list: l4 level1 lfo5; text-align: justify; text-indent: -.25in;">
<span style="color: #a64d79;"><span style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ascii-theme-font: major-latin; mso-bidi-font-family: Cambria; mso-bidi-theme-font: major-latin; mso-fareast-font-family: Cambria; mso-fareast-theme-font: major-latin; mso-hansi-theme-font: major-latin;"><span style="mso-list: Ignore;">3.</span></span><span class="longtext"><span lang="IN" style="font-family: "Cambria","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin;">Gaussian
adaptasi - Berdasarkan teori informasi. </span><span title="Used for maximization of manufacturing yield, mean fitness or average information.">Digunakan
untuk memaksimalkan hasil manufaktur, berarti kebugaran atau informasi
rata-rata. </span><span title="See for instance Entropy in thermodynamics and information theory.">Lihat
misalnya Entropi dalam termodinamika dan teori informasi.</span></span></span><br />
<br />
Sumber : <br />
<ol class="references" style="text-align: justify;">
<li id="cite_note-1"><span class="reference-text">G.S. Hornby and J.B. Pollack. Creating high-level components with a generative representation for body-brain evolution. Artificial Life, 8(3):223–246, 2002.</span></li>
<li id="cite_note-4"><span class="reference-text">Ferreira,
C., 2001. Gene Expression Programming: A New Adaptive Algorithm for
Solving Problems. Complex Systems, Vol. 13, issue 2: 87-129.</span></li>
</ol>
</div>
</span></span></span></span><span style="font-family: Times,"Times New Roman",serif;"><span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents">
</span></span></span><span style="color: blue;"><span title="From Wikipedia, the free encyclopedia"><span title="Contents">
</span></span></span></span>zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-51333361929059615672013-05-05T12:16:00.000-07:002013-05-09T02:31:42.018-07:00Neural Network<h2 style="text-align: center;">
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<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<h3>
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #38761d;"><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Sejarah
dan ikhtisar</span></b></span></span></h3>
</div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<div style="text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Sebuah jaringan saraf biologis terdiri dari
kelompok atau kelompok neuron kimia tersambung atau fungsional terkait. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Sebuah neuron tunggal dapat dihubungkan ke banyak
neuron lain dan jumlah neuron dan koneksi dalam jaringan mungkin luas.
Connections, yang disebut sinapsis, biasanya terbentuk dari akson ke dendrit,
meskipun microcircuits dendrodendritic</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> dan koneksi lain yang mungkin. </span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Terlepas dari sinyal listrik, ada bentuk-bentuk
lain dari sinyal yang muncul dari difusi neurotransmitter. Kecerdasan
buatan, pemodelan kognitif, dan jaringan saraf adalah paradigma pemrosesan
informasi terinspirasi oleh cara biologis saraf sistem proses data. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Kecerdasan buatan dan pemodelan kognitif mencoba
untuk mensimulasikan beberapa sifat jaringan saraf biologis. Di bidang
kecerdasan buatan, jaringan saraf tiruan telah berhasil diterapkan untuk
pengenalan suara, analisis citra dan kontrol adaptif, dalam rangka untuk
membangun agen perangkat lunak (dalam permainan komputer dan video) atau robot
otonom.</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">
Secara historis, komputer digital berkembang dari model von Neumann, dan
beroperasi melalui pelaksanaan instruksi eksplisit melalui akses ke memori oleh
sejumlah prosesor. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"> </span></span></span></div>
</div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><br /></span>
<div style="text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Di sisi lain, asal-usul
jaringan saraf didasarkan pada upaya untuk memodelkan pengolahan informasi
dalam sistem biologi. Tidak seperti model von Neumann, komputasi jaringan
syaraf tidak memori dan pengolahan terpisah.</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> Teori jaringan saraf telah
melayani baik untuk lebih mengidentifikasi bagaimana neuron dalam fungsi otak
dan untuk memberikan dasar bagi upaya menciptakan kecerdasan buatan. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Para awal dasar teoritis untuk jaringan saraf
kontemporer secara independen diusulkan oleh Alexander Bain</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">
(1873) dan William James (1890). </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Dalam pekerjaan mereka, baik pikiran dan aktivitas tubuh dihasilkan
dari interaksi antar neuron dalam otak.</span></span></span></div>
</div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><br /></span>
<div style="text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Simulasi komputer dari arsitektur percabangan dendrit neuron piramidal.</span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"> Untuk Bain,</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> setiap kegiatan menyebabkan penembakan dari
satu set tertentu dari neuron. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Ketika
kegiatan diulang, hubungan antara neuron diperkuat. Menurut teorinya,
pengulangan ini adalah apa yang menyebabkan pembentukan memori. Komunitas
ilmiah umum pada saat itu adalah skeptis.</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> Teori Bain karena diperlukan apa yang
tampaknya menjadi jumlah yang banyak sekali koneksi saraf dalam otak. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Sekarang jelas bahwa otak sangat kompleks dan
bahwa hal yang sama otak "kabel" dapat menangani beberapa masalah dan
masukan dari James. </span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Teori ini mirip dengan Bain. Namun, ia menyarankan bahwa
kenangan dan tindakan yang dihasilkan dari arus listrik yang mengalir di antara
neuron di otak. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Modelnya, dengan berfokus
pada aliran arus listrik, tidak membutuhkan koneksi saraf individu untuk setiap
memori atau tindakan.</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> CS Sherrington (1898) melakukan percobaan untuk menguji
teori James. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Dia berlari arus listrik
menuruni tali tulang belakang tikus. Namun, daripada menunjukkan peningkatan
arus listrik seperti yang diproyeksikan oleh James, Sherrington menemukan bahwa
kekuatan arus listrik menurun sebagai pengujian terus dari waktu ke waktu. Yang
penting, karya ini menyebabkan penemuan konsep pembiasaan.</span></span></span></div>
</div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"><span style="mso-tab-count: 1;"> </span></span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> </span></span></span></div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<div style="text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">McCulloch dan Pitts (1943) menciptakan model komputasi untuk jaringan saraf
berdasarkan matematika dan algoritma. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Mereka menyebut model ini logika ambang batas. Model ini membuka
jalan untuk penelitian jaringan saraf untuk membagi menjadi dua pendekatan yang
berbeda. Salah satu pendekatan yang berfokus pada proses biologis di otak dan
yang lainnya berfokus pada penerapan jaringan saraf untuk kecerdasan buatan.</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> Pada
akhir 1940-an psikolog Donald Hebb menciptakan hipotesis pembelajaran
berdasarkan mekanisme plastisitas saraf yang sekarang dikenal sebagai Hebbian
belajar. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Hebbian belajar dianggap
aturan belajar 'khas' tanpa pengawasan dan varian kemudian perusahaan adalah
model awal untuk potensiasi jangka panjang. Ide-ide ini mulai diterapkan untuk
model komputasi pada tahun 1948 dengan B-tipe mesin Turing.</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">
Farley dan Clark (1954) pertama kali digunakan mesin komputasi, kemudian
disebut kalkulator, untuk mensimulasikan jaringan Hebbian di MIT. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Jaringan saraf mesin komputasi lainnya diciptakan
oleh Rochester, Belanda, Kebiasaan, dan Duda</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> (1956). Rosenblatt (1958)
menciptakan perceptron, algoritma untuk pengenalan pola berdasarkan pada
jaringan komputer belajar dua lapisan menggunakan penambahan dan pengurangan
sederhana. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Dengan notasi matematika,
Rosenblatt juga menggambarkan sirkuit tidak dalam perceptron dasar, seperti
eksklusif-atau sirkuit, sirkuit yang perhitungan matematis tidak dapat diproses
sampai setelah algoritma backpropagation diciptakan oleh Werbos</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">
(1975).</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"><span style="color: black;"> </span></span></span></span></div>
<span style="font-family: Times,"Times New Roman",serif;"><br /></span>
<div style="text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Penelitian jaringan saraf mengalami stagnasi setelah publikasi penelitian
pembelajaran mesin dengan Minsky dan Papert (1969). </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Mereka menemukan dua masalah utama dengan mesin
komputasi yang diproses jaringan saraf. Masalah pertama adalah bahwa jaringan
saraf single-layer yang mampu memproses eksklusif-atau sirkuit. Isu penting
kedua adalah bahwa komputer tidak cukup canggih untuk secara efektif menangani
waktu jangka panjang yang dibutuhkan oleh jaringan saraf besar. Penelitian
jaringan saraf melambat sampai komputer mencapai kekuatan pemrosesan yang lebih
besar. Juga kunci dalam kemajuan kemudian adalah algoritma backpropogation yang
secara efektif memecahkan eksklusif-atau masalah (Werbos 1975).</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> Paralel
didistribusikan pengolahan pertengahan 1980-an menjadi populer dengan nama
koneksionisme. </span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Teks oleh Rumelhart dan
McClelland</span><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">
(1986) memberikan penjelasan lengkap tentang penggunaan koneksionisme dalam
komputer untuk mensimulasikan proses saraf.</span></span></span></div>
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><span lang="IN" style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">
</span><span style="color: red; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"><span style="mso-tab-count: 1;"> </span> </span></span></span><br />
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<h3>
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #134f5c;"><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Jaringan
</span></b><b style="mso-bidi-font-weight: normal;"><span style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-fareast-font-family: "Times New Roman";">S</span></b><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">araf dan </span></b><b style="mso-bidi-font-weight: normal;"><span style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-fareast-font-family: "Times New Roman";">K</span></b><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">ecerdasan </span></b><b style="mso-bidi-font-weight: normal;"><span style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-fareast-font-family: "Times New Roman";">B</span></b><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">uatan</span></b></span></span></h3>
</div>
<div style="text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Jaringan
saraf, seperti yang digunakan dalam kecerdasan buatan, secara tradisional telah
dipandang sebagai model yang disederhanakan dari proses syaraf di otak,
meskipun hubungan antara model ini dan arsitektur biologis otak diperdebatkan,
karena tidak jelas untuk apa gelar saraf jaringan otak cermin buatan </span><span style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">fungsi.</span><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> Sebuah jaringan saraf (NN), dalam kasus
neuron buatan yang disebut jaringan saraf tiruan (JST) atau neural network
simulasi (SNN), adalah kelompok yang saling berhubungan neuron alami atau
buatan yang menggunakan model matematis atau komputasi untuk pemrosesan
informasi berdasarkan pada </span><span style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Pendekatan
connectionistic untuk perhitungan. Dalam kebanyakan kasus JST merupakan sistem
adaptif yang mengubah strukturnya berdasarkan informasi eksternal maupun
internal yang mengalir melalui jaringan.</span><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> Dalam istilah yang lebih praktis jaringan
saraf yang non-linear pemodelan data statistik atau alat pengambilan keputusan.
</span><span style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Mereka dapat digunakan
untuk memodelkan hubungan yang kompleks antara input dan output atau untuk
menemukan pola dalam data.</span><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> Namun, paradigma jaringan saraf - yaitu,
implisit, tidak eksplisit, belajar ditekankan - tampaknya lebih sesuai dengan
beberapa jenis kecerdasan alami daripada tradisional berbasis simbol Artificial
Intelligence, yang akan menekankan, sebaliknya, pembelajaran berbasis aturan.</span></span></span></div>
</div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">
</span><span style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"> </span></span></span></div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Jaringan saraf tiruan melibatkan jaringan elemen pemrosesan sederhana (neuron
buatan) yang dapat menunjukkan perilaku global yang kompleks, ditentukan oleh
hubungan antara unsur-unsur pengolahan dan parameter elemen. Neuron buatan
pertama kali diusulkan pada tahun 1943 oleh Warren McCulloch, neurofisiologi,
dan Walter Pitts, ahli logika, yang pertama kali berkolaborasi di University of
Chicago. </span><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Salah
satu jenis klasik jaringan syaraf tiruan Hopfield adalah jaring berulang.</span><span style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"> Dalam jaringan saraf
Model node sederhana (yang dapat dipanggil oleh sejumlah nama, termasuk
"neuron", "neurodes", "Pengolahan Elemen" (PE)
dan "unit"), yang dihubungkan bersama untuk membentuk jaringan node -
maka istilah "neural network". Sementara jaringan saraf tidak harus
adaptif per se, penggunaan praktisnya dilengkapi dengan algoritma yang
dirancang untuk mengubah kekuatan (bobot) dari koneksi dalam jaringan untuk
menghasilkan aliran sinyal yang diinginkan. Konsep jaringan saraf tampaknya
telah pertama kali diusulkan oleh Alan Turing pada tahun 1948 makalahnya Mesin
Cerdas yang menyebut mereka "mesin terorganisir tipe B". </span></span></span></div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"> </span></span></span></div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Pemanfaatan model jaringan
syaraf tiruan terletak pada kenyataan bahwa mereka dapat digunakan untuk
menyimpulkan fungsi dari pengamatan dan juga untuk menggunakannya. Jaringan
saraf Unsupervised juga dapat digunakan untuk mempelajari representasi dari
masukan yang menangkap karakteristik penting dari distribusi input, misalnya,
melihat mesin Boltzmann (1983), dan baru-baru, belajar algoritma yang mendalam,
yang secara implisit dapat mempelajari fungsi distribusi mengamati data.
Belajar dalam jaringan saraf sangat berguna dalam aplikasi dimana kompleksitas
data atau tugas membuat desain fungsi tersebut dengan tangan praktis.</span></span></span></div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"><br /></span></span></span><span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">
</span><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Tugas
yang jaringan syaraf tiruan yang diterapkan cenderung jatuh dalam kategori
berikut:</span></span></span><br />
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">•Fungsi pendekatan, atau
analisis regresi, termasuk waktu prediksi series dan </span><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">pemodelan</span></span></span><br />
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">•Klasifikasi, termasuk pola
dan pengakuan urutan, deteksi kebaruan dan pengambilan </span><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">keputusan berurutan.</span></span></span><br />
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #45818e;"><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">•Pengolahan data, termasuk penyaringan, pengelompokan, pemisahan sinyal buta dan </span><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">kompresi.</span></span></span></div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><span style="color: #45818e;"><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"><br />
</span><span lang="IN" style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Area
aplikasi dari ANNs meliputi identifikasi sistem dan kontrol (kontrol kendaraan,
kontrol proses), game-playing dan keputusan (backgammon, catur, balap)
keputusan, pengenalan pola (sistem radar, identifikasi wajah, pengenalan
obyek), pengakuan urutan (gesture, ucapan </span><span style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">, pengenalan teks tulisan tangan), diagnosa medis, aplikasi
keuangan, data mining (atau penemuan pengetahuan dalam database,
"KDD"), visualisasi dan e-mail penyaringan spam.</span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> </span></span></span></div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><br /></span></span></div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<h3>
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #351c75;"><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Neural
</span></b><b style="mso-bidi-font-weight: normal;"><span style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-fareast-font-family: "Times New Roman";">J</span></b><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">aringan dan </span></b><b style="mso-bidi-font-weight: normal;"><span style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-fareast-font-family: "Times New Roman";">N</span></b><b style="mso-bidi-font-weight: normal;"><span lang="IN" style="color: lime; font-family: "Times New Roman","serif"; font-size: 20.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">euroscience</span></b></span><span style="color: #6aa84f;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"><span style="mso-tab-count: 1;"> </span></span><span lang="IN" style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"><br /></span></span></span></h3>
</div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<div style="text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #674ea7;"><span lang="IN" style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Teoritis dan komputasi neuroscience adalah bidang yang
bersangkutan dengan analisis teoritis dan pemodelan komputasi sistem saraf
biologis. </span><span style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Karena sistem saraf
sangat erat terkait dengan proses kognitif dan perilaku, lapangan berkaitan
erat dengan pemodelan kognitif dan perilaku. Tujuan dari lapangan adalah untuk
menciptakan model sistem saraf biologi untuk memahami bagaimana sistem biologis
bekerja. Untuk mendapatkan pemahaman ini, ahli saraf berusaha untuk membuat
hubungan antara proses biologis yang teramati (data), mekanisme biologis yang
masuk akal untuk proses syaraf dan pembelajaran (model jaringan saraf biologis)
dan teori (teori belajar statistik dan teori informasi).</span><span lang="IN" style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> Banyak model yang
digunakan, didefinisikan pada berbagai tingkat abstraksi, dan pemodelan aspek
yang berbeda dari sistem saraf. </span><span style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Mereka berkisar dari model perilaku jangka pendek neuron
individu, melalui model dinamika sirkuit saraf yang timbul dari interaksi
antara neuron individu, model-model perilaku yang timbul dari saraf modul
abstrak yang mewakili subsistem lengkap. Ini termasuk model plastisitas jangka
panjang dan jangka pendek sistem saraf dan hubungannya dengan belajar dan
memori, dari Kritik. </span><span lang="IN" style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Sebuah kritik umum jaringan saraf, terutama dalam
robotika, adalah bahwa mereka membutuhkan keragaman besar pelatihan untuk
operasi dunia nyata. </span><span style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Hal ini tidak
mengherankan, karena setiap mesin belajar membutuhkan contoh perwakilan cukup
untuk menangkap struktur dasar yang memungkinkan untuk menggeneralisasi
kasus-kasus baru. </span></span></span></div>
<span style="font-family: Times,"Times New Roman",serif;"><br /></span>
<div style="text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #674ea7;"><span lang="IN" style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Dean Pomerleau, dalam penelitiannya disajikan dalam kertas
"Pelatihan berbasis Pengetahuan Jaringan Syaraf Tiruan untuk Otonomi Robot
Mengemudi," menggunakan jaringan saraf untuk melatih sebuah kendaraan
robot untuk drive pada beberapa jenis jalan (jalur tunggal, multi-lane, kotoran
, dll). Sejumlah besar penelitian ditujukan untuk ekstrapolasi beberapa
skenario pelatihan dari pengalaman pelatihan tunggal, dan pengawetan
keanekaragaman pelatihan masa lalu sehingga sistem tidak menjadi overtrained
(jika, misalnya, disajikan dengan seri dari kanan bergantian - tidak harus
belajar untuk selalu belok kanan). Isu-isu yang umum dalam jaringan saraf yang
harus memutuskan dari antara berbagai macam tanggapan, tetapi dapat ditangani
dengan beberapa cara, misalnya dengan secara acak mengocok contoh pelatihan,
dengan menggunakan algoritma optimasi numerik yang tidak mengambil langkah
terlalu besar ketika mengubah koneksi jaringan mengikuti contoh, atau dengan
mengelompokkan contoh dalam apa yang disebut mini-batch. </span></span></span></div>
<span style="font-family: Times,"Times New Roman",serif;"><br /></span>
<div style="text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #674ea7;"><span lang="IN" style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">AK
Dewdney, mantan kolumnis Scientific American, menulis pada tahun 1997,
"Meskipun jaring saraf lakukan memecahkan masalah mainan beberapa,
kekuatan mereka perhitungan begitu terbatas bahwa saya terkejut siapa pun
membawa mereka serius sebagai alat pemecahan masalah umum." </span><span style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">(Dewdney, hal. 82)</span><span lang="IN" style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> Argumen untuk posisi
Dewdney adalah bahwa untuk melaksanakan jaringan software besar dan efektif
saraf, banyak sumber daya pengolahan dan penyimpanan harus berkomitmen. </span><span style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Sementara otak telah hardware disesuaikan
dengan tugas pengolahan sinyal melalui grafik neuron, simulasi bahkan bentuk
yang paling sederhana tentang Von Neumann teknologi dapat memaksa seorang
desainer NN untuk mengisi jutaan baris basis data untuk koneksi - yang dapat
mengkonsumsi sejumlah besar memori komputer dan ruang hard disk. Selain itu,
perancang sistem NN akan sering perlu untuk mensimulasikan transmisi sinyal
melalui banyak koneksi ini dan neuron yang terkait - yang harus sering
dicocokkan dengan jumlah yang luar biasa kekuatan pemrosesan CPU dan waktu.
Sementara jaringan saraf sering menghasilkan program yang efektif, mereka
terlalu sering melakukannya pada efisiensi biaya (mereka cenderung untuk
mengkonsumsi sejumlah besar waktu dan uang).</span><span lang="IN" style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> Argumen terhadap posisi
Dewdney adalah bahwa jaring saraf telah berhasil digunakan untuk menyelesaikan banyak
tugas yang kompleks dan beragam, mulai dari pesawat terbang mandiri untuk
mendeteksi penipuan kartu kredit.</span></span></span></div>
</div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #674ea7;"><span style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"><span style="mso-tab-count: 1;"> </span></span></span></span></div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #674ea7;"><span lang="IN" style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";">Penulis
teknologi Roger Bridgman mengomentari pernyataan Dewdney tentang jaring saraf:</span><span style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"> Jaringan saraf, misalnya, berada di dermaga
tidak hanya karena mereka telah hyped surga tinggi, (apa yang tidak?) Tetapi
juga karena Anda bisa membuat jaring yang sukses tanpa memahami cara kerjanya:
dengan sekelompok angka yang menangkap nya perilaku akan dalam semua
kemungkinan menjadi "buram, terbaca meja ... berharga sebagai sumber daya
ilmiah". Meskipun deklarasi tegas bahwa sains bukanlah teknologi, Dewdney
tampaknya sini untuk membikin malu jaring saraf sebagai ilmu buruk ketika
sebagian besar dari mereka karangan mereka hanya mencoba untuk menjadi insinyur
yang baik. Tabel terbaca bahwa mesin yang berguna bisa membaca masih akan layak
memiliki. Dalam menanggapi kritik semacam ini, perlu diingat bahwa meskipun
benar bahwa menganalisis apa yang telah dipelajari oleh jaringan syaraf tiruan
adalah sulit, itu jauh lebih mudah untuk melakukannya daripada untuk
menganalisis apa yang telah dipelajari oleh jaringan saraf biologis.
Selanjutnya, peneliti yang terlibat dalam mengeksplorasi belajar algoritma
untuk jaringan saraf secara bertahap mengungkap prinsip-prinsip umum yang
memungkinkan mesin belajar untuk menjadi sukses. Misalnya, Bengio dan LeCun
(2007) menulis sebuah artikel tentang pembelajaran lokal vs non-lokal, serta
dangkal vs arsitektur yang mendalam .</span><span lang="IN" style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: IN; mso-fareast-font-family: "Times New Roman";"> Beberapa kritik lain datang dari orang
percaya model hybrid (menggabungkan jaringan saraf dan pendekatan simbolik). </span><span style="color: purple; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Mereka mendukung mencampurkan dua pendekatan
ini dan percaya bahwa model hybrid dapat lebih menangkap mekanisme dari pikiran
manusia (Minggu dan Bookman, 1990).</span></span></span></div>
<div class="MsoNormal" style="line-height: normal; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: justify;">
<span style="font-family: Times,"Times New Roman",serif;"><span style="color: #6aa84f;"><br /></span></span>
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zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-73019240849074088842013-01-01T04:19:00.003-08:002013-01-01T04:19:36.907-08:00Presentasi Softskill <div style="text-align: center;">
<span style="color: #6aa84f;"><span style="font-size: x-large;"><span style="font-family: Georgia,"Times New Roman",serif;"><b>Power Point Penjualan Hewan Kurban dan Aqiqah secara Online</b></span></span></span><img alt="" height="301" 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" 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" 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" 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" 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zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-29780041426869630152012-11-05T09:40:00.002-08:002012-11-06T06:15:08.179-08:00MOBILE FORENSIK-part3<!--[if !mso]>
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o\:* {behavior:url(#default#VML);}
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<span style="color: red;"><span style="font-size: x-large;"><b><span style="font-family: "Times New Roman","serif";">PROTOKOL KOMUNIKASI</span></b></span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
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<br /></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;"> <span style="color: orange;"> Protokol komunikasi
utama pada perangkat mobile melalui tiga teknologi, yaitu</span></span><span style="color: orange;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;"> Seluler, WiFi, dan Bluetooth. Komunikasi seluler melibatkan teknologi ini
membagi sebuah daerah dengan layanan geografis yang besar ke daerah yang lebih
kecil yang disebut sel. Setiap sel berisi perangkat komunikasi, biasanya pada
sebuah menara yang mentransmisikan sinyal radio ke dan dari perangkat mobile.
Teknologi transmisi yang digunakan untuk komunikasi, diantaranya GSM, CDMA,
GPRS, EV-DO, EDGE, DECT, TDMA dan iDEN.</span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
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/></div>
<br /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 5.0pt; text-align: justify;">
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;"> <span style="color: #999999;"> WiFi sama seperti seluler, yaitu mentransmisikan komunikasi dengan menggunakan
gelombang radio, tetapi menggunakan frekuensi yang lebih tinggi dan umumnya
jauh lebih cepat. Perjalanan komunikasi WiFi dari perangkat mobile ke titik
akses nirkabel, kira - kira dengan modem/router decode komunikasi dan kemudian
meneruskannya sampai ke internet. Titik akses harus dalam jarak relatif sebuah
fisik (biasanya sekitar 100 kaki atau kurang) ke perangkat mobile untuk
menerima sinyal WiFi - nya.</span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
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<br /></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: center;">
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
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<img alt="" src="data:image/jpeg;base64,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" /></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;"> </span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;"> <span style="color: #3d85c6;"> Bluetooth adalah komunikasi nirkabel, tetapi tujuannya agak berbeda dari
selular atau WiFi. Bluetooth dirancang untuk memungkinkan berbagai perangkat
yang secara fisik dekat satu sama lain (umumnya kurang dari 30 kaki). Dengan
kata lain, Bluetooth dapat mengaktifkan iPhone anda untuk berkomunikasi secara
otomatis dengan audio headset, atau iPad anda untuk berkomunikasi secara
otomatis dengan keyboard eksternal anda.</span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;"> </span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;"> Informasi
yang diambil dari perangkat mobile dapat berguna dalam berbagai masalah hukum,
administratif dan investigasi seperti:</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<ul type="disc">
<li class="MsoNormal" style="line-height: normal; mso-list: l4 level1 lfo1; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Pencurian Kekayaan Intelektual</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></li>
</ul>
<ul type="disc">
<li class="MsoNormal" style="line-height: normal; mso-list: l5 level1 lfo2; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Perusahaan Penipuan</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></li>
</ul>
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<li class="MsoNormal" style="line-height: normal; mso-list: l3 level1 lfo3; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Penyalahgunaan Properti</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></li>
</ul>
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<li class="MsoNormal" style="line-height: normal; mso-list: l2 level1 lfo4; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Perceraian & Hukum Keluarga</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></li>
</ul>
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<li class="MsoNormal" style="line-height: normal; mso-list: l8 level1 lfo5; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Geo-Lokasi Kontroversi</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></li>
</ul>
<ul type="disc">
<li class="MsoNormal" style="line-height: normal; mso-list: l6 level1 lfo6; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Bukti Kejahatan</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></li>
</ul>
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<span style="font-size: x-large;"><span style="color: red;"><b><span style="font-family: "Times New Roman","serif";">FOREN<span style="font-size: x-large;">SIC</span> TOOL TESTING</span></b></span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;"> <span style="color: #674ea7;"> Program pengujian ini telah dipertimbangkan oleh berbagai organisasi. Pengujian
alat itu penting dari sisi teknologi informasi (IT), untuk memastikan perangkat
lunak dan keras beroperasi seperti yang diharapkan. Institute of Electrical and
Electronics Engineers (IEEE) telah menetapkan standar sejak tahun 1993 untuk
pengujian alat. Organisasi internasional untuk standarisasi dan komisi
elektronik (ISO/IEC) mendirikan persyaratan umum untuk pengujian kompetensi dan
pencocokan laboratorium (ISO/IEC 17025) pada tahun 1999 (“Methodology pengujian
umum”,2001).</span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
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width="400" /></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;"> <span style="color: #45818e;"> NIST
merupakan alat penguji komputer forensik (CFTT), maksud yang benar dari program
ini adalah prespektif teknis. NIST menetapkan beberapa persyaratan umum untuk
pengujian alat, yaitu :</span></span><span style="color: #45818e;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 5.0pt; text-align: justify;">
<span style="color: #45818e;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">1.
Menetapkan kategori dan syarat forensik</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 5.0pt; text-align: justify;">
<span style="color: #45818e;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">2.
Mengidentifikasi persyaratan untuk kategori tertentu</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 5.0pt; text-align: justify;">
<span style="color: #45818e;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">3.
Mengembangkan uji pernyataan berdasarkan persyaratan</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 5.0pt; text-align: justify;">
<span style="color: #45818e;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">4.
Mengembangkan uji kode untuk pernyataan</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 5.0pt; text-align: justify;">
<span style="color: #45818e;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">5.
Mengidentifikasi uji kasus yang relevan</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 5.0pt; text-align: justify;">
<span style="color: #45818e;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">6.
Mengembangkan pengujian metode dan prosedur</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 5.0pt; text-align: justify;">
<span style="color: #45818e;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">7. Laporan
hasil uji</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"> </span></span></div>
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</div>
<div class="MsoNormalCxSpMiddle" style="line-height: normal; margin-bottom: 5pt; text-align: center;">
<span style="color: red;"><span style="font-size: x-large;"><b><span style="font-family: "Times New Roman","serif";">T<span style="font-size: x-large;">OOL VALIDATION</span></span></b></span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<div class="MsoNormalCxSpMiddle" style="line-height: normal; margin-bottom: 5.0pt; mso-add-space: auto; text-align: justify;">
<br /></div>
<div class="MsoNormalCxSpMiddle" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; mso-add-space: auto; text-align: justify;">
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;"> Alat hasil
pengesahan yang dikeluarkan oleh CFTT merupakan proyek di NIST yang menyediakan
informasi yang dibutuhkan untuk :</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div>
<ul type="disc">
<li class="MsoNormalCxSpMiddle" style="line-height: normal; mso-add-space: auto; mso-list: l0 level1 lfo7; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Tool makers untuk
memperbaiki alat</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></li>
</ul>
<ul type="disc">
<li class="MsoNormalCxSpMiddle" style="line-height: normal; mso-add-space: auto; mso-list: l1 level1 lfo8; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Para pemakai untuk
membuat pilihan tentang informasi memperoleh dan menggunakan alat-alat
komputer forensik</span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></li>
</ul>
<ul type="disc">
<li class="MsoNormalCxSpMiddle" style="line-height: normal; mso-add-space: auto; mso-list: l7 level1 lfo9; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Dan bagi pihak-pihak
yang berkepentingan untuk memahami kemampuan dari alat-alat</span></li>
</ul>
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Part 1 : <span style="color: lime;"><a href="http://yoga008.blogspot.com/2012/11/mobile-forensik.html"><span style="color: lime;"></span><span style="color: lime;">http://yoga008.blogspot.com/2012/11/mobile-forensik.html</span></a></span></span><br />
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Part 2 :<span style="color: blue;"> </span><span style="color: #ffd966;"><a href="http://ebidudul.blogspot.com/2012/11/sistem-operasi-yang-hadir-di-smart-phone.html"><span style="color: #ffd966;">http://ebidudul.blogspot.com/2012/11/sistem-operasi-yang-hadir-di-smart-phone.html</span></a></span></span><br />
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Part 4 :<span style="color: #ffd966;"> </span><span style="color: yellow;"><a href="http://akhmadilman46.blogspot.com/2012/11/normal-0-false-false-false-in-x-none-x.html"><span style="color: magenta;">http://akhmadilman46.blogspot.com/2012/11/normal-0-false-false-false-in-x-none-x.html</span></a></span></span><br />
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: IN;">Part 5 :<br /> </span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span>
zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-81215239914580271542012-07-10T10:10:00.003-07:002012-07-10T10:10:59.597-07:00Luna Online<div style="color: black;">
<strong style="font-weight: normal;"> Luna Online</strong> adalah game MMORPG yang difokuskan pada
kehidupan sosial yang memperkenalkan berbagai fitur inovatif yang belum
pernah ditemukan pada game MMORPG sebelumnya, diantaranya adalah sistem
ladang (<em>farming</em>), keluarga (<em>family</em>), memancing (<em>fishing</em>), pacaran (<em>matching dat</em>e), peliharaan (<em>pet</em>), dan masih banyak lagi fitur menarik lainnya.</div>
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Dengan mempunyai lebih dari 40 <em>Job </em>yang berbeda dan ratusan <em>skill </em>yang
unik, Luna Online menawarkan kepada pemain pilihan yang tidak terbatas.
Semua ini dirancang supaya lebih efektif bila bermain solo atau grup.
Pemain dapat mengatur <em>status </em>dan <em>skill </em>setiap karakter
yang dimainkan berdasarkan pilihannya sendiri sehingga dapat membuat
karakter yang unik dan berbeda dengan yang lainnya. Dalam <strong style="font-weight: normal;">Luna Online</strong> terdapat dua ras yang dapat dipilih yaitu <em>Human </em>dan <em>Elves</em>. Tentunya selain berbagai fitur menarik ini, <strong style="font-weight: normal;">Luna Online</strong> juga memiliki cerita panjang yang menjadi latar belakang game ini. Dan kamu akan bergabung dengan ras-ras yang ada di <strong style="font-weight: normal;">Luna Online</strong> untuk berjuang bersama-sama melindungi Dewi Luna dan bertarung melawan iblis yang ingin menguasai dunia.<a href="http://luna.lytogame.com/panduan/intro/intro.asp#maincontent" target="_blank"><br /></a></div>
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<img alt="" class="alignnone size-full wp-image-271" height="375" src="http://xylon.web.id/wp-content/uploads/2010/12/lunas42_a7d3AuBHTE2-e1292775627585.jpg" title="lunas42_a7d3AuBHTE2" width="570" /></div>
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Kalau biasanya pengumuman dari GM untuk semua pemain pada <em>game<strong> RF Online</strong></em><strong style="font-weight: normal;"></strong> selalu diawali dengan sapaan <em>“Halo Patriot RF”</em> , maka <em>game </em>ini melakukannya dengan cara yang berbeda dan sedikit <em>shocking</em>, dengan sapaan <em>“Hai, Imutz”</em>. Ya, imutz dengan huruf z. Saya tidak salah ketik, bahkan kata-kata yang saya tulis pada <em>quote</em> di awal tulisan merupakan <em>tagline </em>dari game ini. Mungkin memang “keimutan” itu yang dijual pada game ini. <em>Game </em>buatan
Eya Soft asal Korea dan dibawa ke Indonesia oleh Lyto ini menawarkan
grafik yang cerah dan imut, lengkap dengan karakter “chibi”-nya. Dari
segi grafis, sekilas game ini mengingatkan dengan game bawaan Lyto
sebelumnya, <strong style="font-weight: normal;">Seal Online</strong>. Yang membedakan adalah, <strong style="font-weight: normal;">Luna Online</strong><b> </b>memiliki lebih banyak fitur untuk bersosialisasi daripada hanya sekedar membunuh monster dan leveling.</div>
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Mengambil tempat di sebuah dunia bernama <em>Blueland</em>, kita
dapat berpetualang dengan bebas, bertemu dan berinteraksi dengan banyak
pemain lain. Yang harus dilakukan pertama kali saat memainkan game ini
adalah membuat karakter. Seperti layaknya MMORPG lain, kita bebas
menentukan penampilan karakter mulai dari bentuk rambut, mata, dan
ekspresi wajah. Kita dapat memilih ras karakter menjadi Human dan Elves Baik ras <em>Human </em>ataupun <em>Elves</em> sebenarnya dapat memilih <em>job </em>yang sama, tetapi ada beberapa <em>job </em>khusus yang hanya dapat dipilih oleh salah satu ras saja. Misalnya seperti pada <em>class Rogue</em>, <em>job Treasure Hunter</em> dapat dipilih oleh kedua ras, tetapi <em>job Assasin</em> hanya dapat dipilih oleh ras <em>Human</em>. Hal yang menarik adalah tidak ada <em>path </em>spesifik dalam pemilihan <em>job</em>. Pemain dibebaskan untuk mengambil jalur <em>job </em>manapun sesuai keinginannya. Bisa saja <em>Rouge </em>bersenjata pisau kemudian mengambil job <em>Archer </em>selanjutnya mengambil <em>job Assasin</em>
tanpa mengubah senjata pisaunya menjadi panah. Lumayan ribet juga
ngejelasinnya, intinya karakter yang dibuat sangat dibebaskan untuk
memilih <em>job </em>apa saja, tanpa terpaku pada 1 <em>path</em> standar. Hal ini menyebabkan masing-masing karakter punya <em>skill </em>yang berbeda-beda (<em>skill </em>dari <em>job </em>sebelumnya) walaupun <em>job</em>nya sama. Ada 3 <em>class job</em> yang disediakan, antara lain <em>Fighter</em>, <em>Rogue</em>, dan <em>Mage</em>.<em></em><em></em></div>
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<img alt="" class="alignnone size-full wp-image-272" height="395" src="http://xylon.web.id/wp-content/uploads/2010/12/7.jpg" title="7" width="570" /></div>
<div style="color: black;">
Yang diunggulkan dari <strong style="font-weight: normal;">Luna Online</strong> adalah beragam
fitur yang dihadirkan untuk interaksi antar pemain. Beberapa fitur sudah
sempat saya singgung pada awal tulisan. Fitur <em>standart </em>MMORPG seperti sistem <em>crafting</em>, <em>vending</em>, <em>guild</em>, <em>pet</em>, PvP, PK, ataupun memancing sudah pasti ada disini. Selain fitur umum itu, disini pemain juga bisa membentuk sebuah keluarga (<em>family</em>) beranggotakan maksimal 5 orang. Keuntungan dari memiliki keluarga adalah pemain dapat memiliki sebuah ladang ala <strong style="font-weight: normal;">Farmville</strong>, fitur ladang ini bisa dibilang cukup baru untuk <em>genre </em>MMORPG.
Ladang hanya dapat diperoleh apabila telah memiliki keluarga yang
lengkap. Dengan adanya ladang, kita dapat menanam benih yang nantinya
dapat dipanen dan menghasilkan <em>item</em>/<em>equip </em>langka. Masih ada lagi, sistem <em>matchmaking </em>dan <em>dating dungeon</em>. Dalam <em>game </em>ini, ketika mencapai <em>level </em>tertentu di awal permainan, pemain diharuskan mendaftarkan diri sebagai penduduk <em>Blueland</em>. Saat mendaftarkan diri, kita diminta mengisikan data hobi dan kegemaran. Nah, saat kita berpapasan dengan pemain lain berbeda <em>gender </em>yang memiliki hobi dan kegemaran yang sama, maka akan muncul tanda “<em>love</em>”
secara otomatis untuk menunjukkan adanya kecocokan di antara kalian.
Dan apabila kalian cocok, maka kalian berdua bisa menaklukkan <em>dating dungeon</em> untuk membuktikan kecocokan kalian sebagai pasangan.</div>
<div style="color: black; text-align: center;">
<img alt="" class="alignnone size-full wp-image-274" height="395" src="http://xylon.web.id/wp-content/uploads/2010/12/Luna_01_101103_221257_001.jpg" title="Luna_01_101103_221257_001" width="570" /></div>
<div style="color: black; text-align: center;">
<img alt="" class="alignnone size-full wp-image-275" height="395" src="http://xylon.web.id/wp-content/uploads/2010/12/Luna_01_101219_200041_001.jpg" title="Luna_01_101219_200041_001" width="570" /></div>
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Selain fitur-fitur beragam tadi, <em>game </em>ini juga menghadirkan beberapa tambahan “keimutan” yang lain. Kita bisa mengetikkan teks perintah <em>emotion</em>, atau lewat menu <em>emoticon </em>(<em>shortcut </em>= S) untuk memunculkan <em>emoticon</em>,
mengubah ekspresi wajah, atau membuat karakter kita berjoget ria.
Bergoyang duyu dengan ekspresi wajah mesum masih kurang imut? *darimana
imutnya??* Tenang, supaya lebih imut kita bisa melengkapi karakter kita
dengan berbagai kostum hewan. Ya, kostum-kostuman ala Halloween juga ada
disini, mulai dari kostum buaya, ayam, kucing, sampai kostum <em>shinigami </em>juga ada. Konsep imut ini juga diadopsi oleh Lyto sampai ke cara promosinya. Selain promosi dengan berbagai <em>event </em>berhadiah baik <em>in-game</em> maupun <em>out-game</em> seperti layaknya <em>game online</em> lainnya, Lyto juga menghadirkan 5 orang gadis muda, cantik, dan imut yang diperkenalkan sebagai <em>Luna Angels</em>. <em>Luna Angels</em> terdiri atas 5 orang bidadari – <em>Cutey</em>, <em>Lovely</em>, <em>Funny</em>, <em>Friendly</em>, dan <em>Sweety</em>. <em>Luna Angels</em> ini merupakan duta terbaru dari Lyto khusus untuk <strong style="font-weight: normal;">Luna Online.</strong> </div>
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<img alt="" class="alignnone size-full wp-image-273" height="395" src="http://xylon.web.id/wp-content/uploads/2010/12/angels03m.jpg" title="angels03m" width="570" /></div>
<strong style="color: black; font-weight: normal;">Luna Online</strong><span style="color: black;"> merupakan sebuah permainan sarat fitur
mengasikkan, penuh grafis menggemaskan, juga menyenangkan untuk
dimainkan. Hal yang saya sukai adalah </span><em style="color: black;">game </em><span style="color: black;">ini cukup santai untuk dimainkan. Artinya, tidak perlu “ngoyo” untuk kejar level secepat mungkin, atau harus </span><em style="color: black;">online </em><span style="color: black;">setiap hari. Berbeda dengan </span><strong style="color: black; font-weight: normal;">RF Online</strong><span style="color: black;">, yang ketinggalan 1 kali </span><em style="color: black;">Chip War</em><span style="color: black;"> saja rasanya sudah lumayan kecewa (apalagi ternyata menang), di<strong> Luna Online </strong></span><strong style="color: black;"></strong><span style="color: black;">saya masih santai walaupun menelantarkan karakter saya seminggu lebih. Saat ini Xylon, yang saya buat di </span><em style="color: black;">server </em><span style="color: black;">Sweety masih betah bertengger di level 51 *masih cupu kk* *jangan di-PK*. Yah, </span><em style="color: black;">game </em><span style="color: black;">ini memang tidak memaksa pemainnya untuk selalu jadi yang paling kuat. </span><strong style="color: black; font-weight: normal;">Luna Online </strong><span style="color: black;">membebaskan para pemainnya untuk bisa </span><em style="color: black;">have fun</em><span style="color: black;"> dengan caranya masing-masing. Dengan segala fitur dan keunikannya, </span><em style="color: black;">game </em><span style="color: black;">ini telah menjadi </span><em style="color: black;">game </em><span style="color: black;">yang paling unyu yang pernah saya mainkan. Entah apapun artinya itu</span>zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-20068508822058268792012-07-10T09:59:00.000-07:002012-07-10T09:59:07.069-07:00Fundamental AI Teknologi<!--[if !mso]>
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<br />
<div style="text-align: center;">
<b><span style="font-size: x-large;">Fundamental
AI Teknologi</span></b></div>
<div style="text-align: center;">
<br /></div>
"<span style="color: orange;">Saya tidak hanya menggunakan semua otak yang saya miliki, tapi semua yang
saya dapat meminjam."</span><br />
<div class="MsoNormal" style="line-height: normal; margin-bottom: 0.0001pt;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;"><u style="color: orange;">-Woodrow Wilson</u><br /> </span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 0.0001pt;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;">KUNCI TOPIK</span></div>
<ol>
<li><span style="font-family: "Times New Roman","serif"; font-size: 12pt;">Konteks</span> </li>
<li>Struktur dari sebuah Sistem AI</li>
<li>Teknologi Spesifik</li>
<li>Penutupan</li>
</ol>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 0.0001pt;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;">
<span style="color: red;">Sebuah kecerdasan buatan yang menarik adalah komponen utama dari setiap
permainan yang sukses. AI membuat game menantang dan adiktif, dan dengan demikian menghasilkan sebagian besar dari
nilai gameplay. AI adalah sangat berkembang ilmu dengan lebih dari 50 tahun sejarah. Ini berarti sangat terkenal metode
yang ada untuk menutupi luas berbagai skenario dan tujuan, apakah itu memerintahkan tentara dalam Age of
Empires atau piloting pejuang dasi</span></span><br /><span style="font-family: "Times New Roman","serif"; font-size: 12pt;"></span><span style="font-family: "Times New Roman","serif"; font-size: 12pt;"> </span></div>
<ul style="color: #0b5394;">
<li><span style="font-family: "Times New Roman","serif"; font-size: 12pt;">Star Wars game.</span></li>
</ul>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 0.0001pt;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;"><span style="color: #0b5394;">
Dalam bab ini, kita akan mempelajari bagaimana permainan AI hanya aplikasi
tertentu dari konsep-konsep umum dari klasik AI. Ini berarti paling tradisional AI teknik akan sempurna berlaku untuk penggunaan
dalam game. Di sisi lain, kami kerajinan akan membutuhkan beberapa trik khusus dan tikungan, seperti perhatian
ditambahkan ke kinerja dan fokus pada estetika hasil. Dalam dua bab berikutnya, kita akan survei permainan teknik AI
di beberapa detail. Kami akan menggunakan bab pertama ini sebagai pengantar untuk tujuan umum
teknik AI, sehingga kami dapat mencurahkan berikutnya dua bab untuk bertindak dan AI permainan strategis, masing-masing.
Dalam Bab 9, "Scripting," kami akan melakukan survei teknik untuk salah satu paradigma yang paling kuat untuk coding sistem
AI. Keempat bab, secara keseluruhan, harus memberikan pemahaman yang jelas dan menyeluruh
tentang keadaan industri.</span></span><br /><span style="font-family: "Times New Roman","serif"; font-size: 12pt;"></span><span style="font-family: "Times New Roman","serif"; font-size: 12pt;"> </span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 0.0001pt;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;"><i><span style="color: blue;">http://www.tar.hu/gamealgorithms/ch06.html2/9/2009 17:50:09</span><br style="color: blue;" /><span style="color: blue;">
http://www.tar.hu/gamealgorithms/ch06lev1sec1.html</span></i><br /> </span></div>
<ol style="color: black;">
<li><span style="font-family: "Times New Roman","serif"; font-size: 12pt;">Konteks</span></li>
</ol>
<div class="MsoNormal" style="color: #274e13; line-height: normal; margin-bottom: 0.0001pt; text-align: justify;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;"> Jadi, apa AI sih? Apa tujuan dan kondisi yang membedakan sistem AI yang baik
dari yang buruk<br />
satu? Pada dasarnya, desain buruk AI sering dimulai dengan menetapkan tujuan
yang salah. Salah satu definisi AI mungkin seperti "AI adalah simulasi komputer dari
perilaku cerdas." Ini akan berlaku kecuali kenyataan bahwa kita benar-benar tidak tahu pasti apa
kecerdasan itu. Apakah "kecerdasan" berarti "perilaku yang menunjukkan kemampuan besar untuk beradaptasi dan
memecahkan masalah kompleks," atau itu "perilaku yang dekat dengan manusia "Sejarah menunjukkan? kita lagi dan lagi bahwa
manusia tidak selalu cemerlang, namun ada adalah kualitas dengan perilaku mereka yang membuat mereka cerdas. Seperti yang
akan Anda pelajari dalam bab ini, beberapa permainan membuat kesalahan dengan mencoba mengikuti definisi pertama, dan dengan
demikian, menghasilkan hasil yang benar-benar realistis. Ambil contoh, salah satu masalah klasik AI-menemukan
rute dari titik A ke titik B yang menghindari rintangan.<br /> </span></div>
<div class="MsoNormal" style="color: #274e13; line-height: normal; margin-bottom: 0.0001pt; text-align: justify;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;"> Banyak algoritma ada untuk memecahkan masalah ini dengan berbagai tingkat
keberhasilan. Mereka menganalisis peta dan menelusuri jalan yang menghubungkan dua titik akhir dan menghindari rintangan di-antara. Beberapa dari mereka, bagaimanapun, pergi terlalu jauh, memastikan bahwa jalan antara A dan B adalah optimal-yaitu, jalur
sesingkat mungkin. Ini adalah kasus dalam algoritma A * yang populer, yang akan kita bahas pada Bab 8,
"Taktis AI." Menurut yang pertama definisi, * A jelas merupakan algoritma yang sangat cerdas. Bahkan, sangat
cerdas bahwa itu dapat algorithmically membangun jalur optimal antara dua endpoint, bahkan jika kita harus menyeberang
banyak mil dan hambatan dalam<br />
proses. Tapi itu benar-benar tidak realistis jika dibandingkan dengan perilaku
manusia. Manusia tidak melacak jalur yang optimal, dan mereka sering melakukan kesalahan melintasi
labirin yang sangat kompleks (lihat Gambar 6.1).</span></div>
<div class="MsoNormal" style="color: #274e13; line-height: normal; margin-bottom: 0.0001pt;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;"></span></div>
<div class="MsoNormal" style="color: #274e13; line-height: normal; margin-bottom: 0.0001pt;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;"></span></div>
<div class="MsoNormal" style="color: #274e13; line-height: normal; margin-bottom: 0.0001pt;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;"></span></div>
<div class="separator" style="clear: both; color: #274e13; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjs2IGAr_dnalK_dOVzeuL6Rpedk7Y7XNuzbmir1cKGy8Fwpw7KVTj05e7ldAGX0OzGvXowX5uVioWT5O-LvD_uSjCIS93lwE9i9ZaRsgOYuJjkFgq_QSZwkHQCvtIwPIdB1B01tbxX8lZG/s1600/ss.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="99" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjs2IGAr_dnalK_dOVzeuL6Rpedk7Y7XNuzbmir1cKGy8Fwpw7KVTj05e7ldAGX0OzGvXowX5uVioWT5O-LvD_uSjCIS93lwE9i9ZaRsgOYuJjkFgq_QSZwkHQCvtIwPIdB1B01tbxX8lZG/s320/ss.jpg" width="320" /></a></div>
<div class="MsoNormal" style="color: red; line-height: normal; margin-bottom: 0.0001pt;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;"><br /></span><span style="font-family: "Times New Roman","serif"; font-size: 12pt;">
Gambar 6.1. Perbandingan antara A * dan pencari jalan manusia. </span></div>
<div class="MsoNormal" style="color: #274e13; line-height: normal; margin-bottom: 0.0001pt;">
<br /></div>
<div class="MsoNormal" style="color: #274e13; line-height: normal; margin-bottom: 0.0001pt; text-align: justify;">
<span style="font-family: "Times New Roman","serif"; font-size: 12pt;"> Kiri: awal masalah. Tengah: manusia. Perhatikan bagaimana kita mencoba untuk mendekati
target, dan jika tidak ada jalan yang tersedia, sering menyelamatkan. Kanan: * A tahu solusinya sebelumnya sehingga ini menelusuri jalan yang sangat realistis tetapi yang
benar melalui topright yang daerah. Seorang manusia beralih dari A B untuk akan mengikuti lintasan padat (dengan
asumsi dia tidak tahu jalan sebelumnya), dan A * akan menemukan solusi yang optimal, putus-putus. Jadi,
permainan menggunakan metode ini mungkin cukup pintar, tapi tidak terlalu realistis. Dan ini adalah sangat penting karena
berkonsentrasi pada memiliki "pintar"<br />
AI tetapi bukan "manusia" AI kadang-kadang dapat menghasilkan
permainan yang buruk, dan itu dosa modal dalam permainan AI pembangunan. Dengan kata lain, banyak kali kita akan dapat menciptakan AI yang
sempurna yang akan membuat frustasi untuk pemain manusia. Jadi, kita perlu menjaga tingkat yang wajar ketidaksempurnaan
dibangun ke dalam desain AI. Di sisi lain, kita tidak ingin membuat AI bodoh hanya demi realisme. Permainan
sekitar tantangan, dan ini memerlukan musuh cerdas, yang, ke mana, sulit untuk
mengalahkan. Contoh yang baik adalah real-time strategi permainan. Komputer menciptakan strategi untuk tentara CPU
dikontrol dengan menggunakan berbagai teknik. Tapi tentara di sisi AI yang dikontrol sangat dangkal dalam hal
spontanitas dan improvisasi nilai kinerja mereka. Mereka lebih seperti robot yang dirancang
untuk melaksanakan rencana induk. Ini harus jadi atau permainan akan terlalu mudah dan menjadi membosankan. Jadi jelas, permainan AI adalah keseimbangan antara perilaku menghasilkan yang
baik sangat berkembang dan canggih, dan perilaku yang kurang lebih manusia (dalam arti tidak optimal dari kata
tersebut). Beberapa teknik dapat digunakan untuk memastikan bahwa AI kita tidak hanya "robot pemecahan masalah" tetapi manusia hidup entitas yang menyediakan hanya jumlah yang tepat kompleksitas yang akan menantang dan menarik, tetapi tidak
lebih dari itu.</span></div>
<div class="MsoNormal" style="color: #274e13; line-height: normal; margin-bottom: 0.0001pt; text-align: justify;">
<br /></div>
<div class="MsoNormal" style="color: #274e13; line-height: normal; margin-bottom: 0.0001pt; text-align: justify;">
<i><span style="color: blue; font-family: "Times New Roman","serif"; font-size: 12pt;">http://www.tar.hu/gamealgorithms/ch06lev1sec1.html (1 dari 2) 2009/02/09
05:50:27<br />
http://www.tar.hu/gamealgorithms/ch06lev1sec1.html</span></i><span style="font-family: "Times New Roman","serif"; font-size: 12pt;"><i><span style="color: blue;"> </span></i></span></div>
<div class="MsoNormal">
<br /></div>zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-36760680030177385522012-07-10T09:41:00.001-07:002012-10-11T06:41:47.050-07:00Review Game Plant vs Zombie<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj8hRuKf2mugWvZCNhLhl3ZPzJezSmgORaoi6GFBOSp864cHKO8pj-pkzIrEhXLDwHSGdpMppJ-YbwS8ayP5viTXU1a4PreIM5Di32mWoDDO8cd-95220sVXJGAJbyIuB2ndzeVpKu84nGs/s1600/plantzombie1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj8hRuKf2mugWvZCNhLhl3ZPzJezSmgORaoi6GFBOSp864cHKO8pj-pkzIrEhXLDwHSGdpMppJ-YbwS8ayP5viTXU1a4PreIM5Di32mWoDDO8cd-95220sVXJGAJbyIuB2ndzeVpKu84nGs/s400/plantzombie1.jpg" width="400" /></a></div>
<span style="color: red;">Sama seperti Game Zuma, Plants vs Zombies juga dikembangkan oleh Perusahaan PopCap Games. Game ini dibuat PopCap untuk Microsoft Windows and Mac OS X. Game ini sangat unik karena mengambil tema yang sangat tidak biasa. Siapa yang membayangkan kalau makhluk seram seperti</span><span style="color: red;"> Zombie harus melawan segerombolan tanaman, ide yang mau tidak mau membuat kita tersenyum.</span><br />
<br style="color: red;" />
<span style="color: red;">Game Plants vs Zombies ini mengisahkan sekelompok zombie yang ingin menyerang sebuah rumah. Zombie-zombie ini mengincar otak manusia untuk dimakan. Ketika memasuki halaman rumah ternyata ada sekelompok tanaman yang berusaha menghalangi zombie-zombie itu masuk ke rumah majikannya. Tugas pemain adalah mengendalikan karakter tanaman-tanaman ini untuk melindungi majikannya agar jangan sampai otak sang majikan dimakan zombie.</span><br />
<br style="color: red;" />
<span style="color: red;">Antara Plants dan Zombie ini masing-masing memiliki banyak jenis karakter. Misalkan saja pihak plants terdiri dari bunga matahari yang memproduksi sinar matahari supaya pemain game bisa memproduksi tanaman yang lain. Kemudian ada pemakan daging, kacang, rumpun duri dan sebagainya. Sedangkan pihak Zombie ada zombie pekerja, pelompat galah, pemain rugbi dan lain-lain.</span><br />
<br style="color: red;" />
<span style="color: red;">Arena game dibagi menjadi beberapa trek horisontal, dan zombie akan bergerak menuju rumah pemain hanya dalam satu jalur. Plants hanya dapat menyerang atau bertahan melawan zombie dalam jalur masuk mereka Pada tingkat awal permainan, jika zombie berhasil mencapai rumah pemain, bisa digunakan alat semacam mesin pemotong rumput untuk sepenuhnya menghancurkan zombie tersebut, akan tetapi alat itu hanya bisa digunakan sekali sampai naik ke level berikutnya. Pada tingkat berikutnya, pemain harus membeli upgrade sehingga dapat menyesuaikan mesin pemotong rumput mereka dengan lingkungan baru seperti kolam atau atap.</span><br />
<br style="color: red;" />
<span style="color: red;">Game Plants vs Zombie ini terdiri dari 4 kelompok game, pertama adventure, mini game, puzzle dan survival.</span><br />
<ol>
<li><span style="color: red;">Game adventure adalah tipe game dimana zombie masuk ke rumah dengan serangan berkelanjutan. Adventure memiliki berbagi tingkat level dengan kesulitan maik bertambah. Setiap menyelesaikan sublevel pemain akan mendapatkan satu karakter plants baru yang digunakan untuk mempertahankan rumah. Begitu juga zombie, ada karakter penyerang yang baru.ini</span><span style="color: red;"> </span></li>
<li><span style="color: red;">Mini Game hanya sekali dimainkan dan langsung tamat, tugas pemain hanya untuk menyelesaikan tantangan game. Game kecil ini bagian dari adventure. Setiap menyelesaikan satu mini game akan membuka kunci mini game lain yang sebelumnya tidak bisa dimainkan. Mini game ini berguna untuk mengumpulkan uang supaya pemain bisa membeli barang baru di toko peralatan.</span><span style="color: red;"> </span></li>
<li><span style="color: red;">Game Puzzle berguna melatih kemampuan mengolah otak dengan memanfaatkan sumber daya yang dimiliki untuk menyelesaikan game. Ada 2 bagian, pertama bermain sebagai plants untuk menghalangi zombie masuk rumah dan kedua sebagai zombie yang berusaha masuk ke rumah.</span><span style="color: red;"> </span></li>
<li><span style="color: red;">Game Survival. Pemain diharapkan dapat bertahan dari serangan zombie yang makin lama makin sulit dihalangi. Jumlah yang menyerang juga semakin banyak dan beragam karakternya.</span></li>
</ol>
<br style="color: red;" />
<span style="color: red;">Game ini sangat cocok dimainkan di saat senggang untuk menghilangkan stress, tapi hati-hati jika kecanduan dan sampai lupa waktu.</span><br />
<br />
<i><span style="color: blue;">Sumber: http://id.shvoong.com/internet-and-technologies/gaming/2171135-review-game-plants-vs-zombies/#ixzz20EpPOYkN</span></i>zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-4158516064356485272012-04-03T03:23:00.005-07:002012-04-03T03:39:38.727-07:00GAME ENGINE<div class="post-title entry-title" style="background-color: white; font-family: "Trebuchet MS",sans-serif; text-align: justify;"><span style="font-size: small;"> <span style="background-color: cyan;"><span style="background-color: white;"> </span><span style="background-color: white;">Dalam kalangan gamer, istilah game engine sudah menjadi salah satu hal yang paling sering di sebutkan. Sebuah game tidak akan menjadi sebuah mahakarya jika tidak ada game engine yang mampu memberikan visual yang menggiurkan. Game engine memberikan kemudahan dalam menciptakan konsep sebuah game yang akan di buat. Mulai dari sistem rendering, physics, arsitektur suara scripting, A.I, dan bahkan sistem networking. Game engine dapat dikatakan sebagai jiwa dari seluruh aspek sebuah game.</span></span></span><br />
<br />
</div><div style="background-color: white; font-family: "Trebuchet MS",sans-serif; text-align: justify;"></div><div style="background-color: white; font-family: "Trebuchet MS",sans-serif; text-align: justify;"><span style="background-color: white; font-size: small;"> <span style="background-color: white;">Game Engine adalah sebuah perangkat lunak sistem yang dirancang untuk penciptaan dan pengembangan video game. Ada banyak mesin permainan yang dirancang untuk bekerja pada konsol permainan video dan sistem operasi desktop, seperti Microsoft Windows, Linux, dan Mac OS X. Fungsionalitas inti biasanya disediakan oleh mesin permainan mencakup mesin render ( “renderer”) untuk 2D atau 3D grafis, sebuah mesin fisika atau tabrakan (dan tanggapan tabrakan), suara, script, animasi, kecerdasan buatan, jaringan, streaming, manajemen memori, threading, lokalisasi dukungan, dan sebuah adegan grafik. Proses pengembangan permainan sering dihemat oleh sebagian besar menggunakan kembali mesin permainan yang sama untuk menciptakan permainan yang berbeda. </span></span><span style="background-color: white; font-size: small;"><br />
<br />
<span style="color: orange;">Ada Berapa Tipe Game Engine? </span></span><span style="font-size: small;"><br style="background-color: white;" /><span style="background-color: white;"> </span><br style="background-color: white;" /><span style="background-color: white;"> Game engine biasanya datang dengan berbagai macam jenis dan ditujukan untuk berbagai kemampuan pemrograman. Ada 3 tipe game engine yang ada saat ini, diantaranya :</span> </span><span style="font-size: small;"><br />
<br />
<b><span style="color: red;">1. Roll-your-own game engine </span></b></span><span style="font-size: small;"><br />
</span></div><div style="background-color: white; font-family: "Trebuchet MS",sans-serif; text-align: justify;"><span style="font-size: small;"> Banyak perusahaan game kecil seperti publisher indie biasanya menggunakan engine-nya sendiri. Mereka menggunakan API seperti XNA, DirectX atau OpenGL untuk membuat game engine mereka sendiri. Di sisi lain, mereka kadang menggunakan library komersil atau yang open source. Terkadang mereka juga membuat semuanya mulai dari nol. Biasanya game engine tipe ini lebih disukai karena selain kemungkinan besar diberikan secara gratis, juga memperbolehkan mereka (para developer) lebih fleksibel dalam mengintegrasikan komponen yang diinginkan untuk dibentuk sebagai game engine mereka sendiri. Kelemahannya banyak engine yang dibuat dengan cara semacam ini malah menyerang balik developernya. Tower Games Studio membutuhkan satu tahun penuh untuk menyempurnakan game engine-nya, hanya untuk ditulis ulang semuanya dalam beberapa hari sebelum penggunaannya karena adanya bug kecil yang sangat mengganggu.</span><span style="font-size: small;"><br />
<br />
<b><span style="color: red;">2. Mostly-ready game engines </span></b></span><b><span style="color: red; font-size: small;"> </span></b></div><div style="background-color: white; font-family: "Trebuchet MS",sans-serif; text-align: justify;"><br />
</div><div style="background-color: white; font-family: "Trebuchet MS",sans-serif; text-align: justify;"><span style="font-size: small;"> Engine ini biasanya sudah menyediakan semuanya begitu diberikan pada developer/programer. Semuanya termasuk contoh GUI, physiscs, libraries model, texture dan lain-lain. Banyak dari mereka yang sudah benar-benar matang, sehingga dapat langsung digunakan untuk scripting sejak hari pertama. Game engine semacam ini memiliki beberapa batasan, terutama jika dibandingkan dengan game engine sebelumnya yang benar-benar terbuka lebar. Hal ini ditujukan agar tidak terjadi banyak error yang mungkin terjadi setelah sebuah game yang menggunakan engine ini dirilis dan masih memungkinkan game engine-nya tersebut untuk mengoptimalkan kinerja game-nya. Contoh tipe game engine seperti ini adalah Unreal Engine, Source Engine, id Tech Engine dan sebagainya yang sudah sangat optimal dibandingkan jika harus membuat dari awal. Dengan hal ini dapat menyingkat menghemat waktu dan biaya dari para developer game.</span><span style="font-size: small;"><br />
<br />
<b><span style="color: red;">3. Point-and-click engines </span></b></span><span style="font-size: small;"><br />
</span></div><div style="background-color: white; font-family: "Trebuchet MS",sans-serif; text-align: justify;"><span style="font-size: small;"> Engine ini merupakan engine yang sangat dibatasi, tapi dibuat dengan sangat user friendly. Anda bahkan bisa mulai membuat game sendiri menggunakan engine seperti GameMaker, Torque Game Builder dan Unity3D. Dengan sedikit memanfaatkan coding, kamu sudah bisa merilis game point-and-click yang kamu banget. Kekurangannya terletak pada terbatasnya jenis interaksi yang bisa dilakukan dan biasanya hal ini mencakup semuanya, mulai dari grafis hingga tata suara. Tapi bukan berarti game engine jenis ini tidak berguna, bagi developer cerdas dan memiliki kreativitas tinggi, game engine seperti ini bisa dirubah menjadi sebuah game menyenangkan, seperti Flow. Game engine ini memang ditujukan bagi developer yang ingin menyingkat waktu pemrogramman dan merilis game-game mereka secepatnya.</span><span style="font-size: small;"><br />
<i><br />
Contoh Game Engine </i></span><span style="font-size: small;"><br />
<br />
Banyak sekali game engine yang ada sekarang ini mulai dari yang gratis sampai yang berbayar. Berikut contoh 10 game engine yang bagus berdasarkan banyaknya review yang ada pada situs DevMaster.net tersebut. </span><span style="font-size: small;"><br />
<br />
</span>- Game engine gratis<br />
<br />
<br />
<span style="color: #20124d;">1. OGRE</span><br style="color: #20124d;" /><span style="color: #20124d;"> </span><br style="color: #20124d;" /><span style="color: #20124d;"> 2. Irrlicht</span><br style="color: #20124d;" /><span style="color: #20124d;"> </span><br style="color: #20124d;" /><span style="color: #20124d;"> 3. Panda3D. Contoh game-nya : Pirates of the Caribbean Online.</span><br style="color: #20124d;" /><span style="color: #20124d;"> </span><br style="color: #20124d;" /><span style="color: #20124d;"> 4. Crystal Space</span><br style="color: #20124d;" /><span style="color: #20124d;"> </span><br style="color: #20124d;" /><span style="color: #20124d;"> 5. jME</span><br style="color: #20124d;" /><span style="color: #20124d;"> </span><br style="color: #20124d;" /><span style="color: #20124d;"> 6. Blender Game Engine</span><br style="color: #20124d;" /><span style="color: #20124d;"> </span><br style="color: #20124d;" /><span style="color: #20124d;"> 7. Reality Factory</span><br style="color: #20124d;" /><span style="color: #20124d;"> </span><br style="color: #20124d;" /><span style="color: #20124d;"> 8. The Nebula Device 2</span><br style="color: #20124d;" /><span style="color: #20124d;"> </span><br style="color: #20124d;" /><span style="color: #20124d;"> 9. RealmForge</span><br style="color: #20124d;" /><span style="color: #20124d;"> </span><br style="color: #20124d;" /><span style="color: #20124d;"> 10. OpenSceneGraph</span><br />
<br />
<br />
- Game engine berbayar<br />
<br />
<br />
<span style="color: #4c1130;">1. C4 Engine</span><br style="color: #4c1130;" /><span style="color: #4c1130;"> </span><br style="color: #4c1130;" /><span style="color: #4c1130;"> 2. Torque Game Engine</span><br style="color: #4c1130;" /><span style="color: #4c1130;"> </span><br style="color: #4c1130;" /><span style="color: #4c1130;"> 3. 3DGameStudio</span><br style="color: #4c1130;" /><span style="color: #4c1130;"> </span><br style="color: #4c1130;" /><span style="color: #4c1130;"> 4. TV3D SDK 6.5</span><br style="color: #4c1130;" /><span style="color: #4c1130;"> </span><br style="color: #4c1130;" /><span style="color: #4c1130;"> 5. Leadwerks Engine 2</span><br style="color: #4c1130;" /><span style="color: #4c1130;"> </span><br style="color: #4c1130;" /><span style="color: #4c1130;"> 6. Unity. Contoh game-nya : Tiger Woods PGA Tour Online.</span><br style="color: #4c1130;" /><span style="color: #4c1130;"> </span><br style="color: #4c1130;" /><span style="color: #4c1130;"> 7. DX Studio</span><br style="color: #4c1130;" /><span style="color: #4c1130;"> </span><br style="color: #4c1130;" /><span style="color: #4c1130;"> 8. NeoAxis Engine</span><br style="color: #4c1130;" /><span style="color: #4c1130;"> </span><br style="color: #4c1130;" /><span style="color: #4c1130;"> 9. Visual3D.NET Game Engine</span><br style="color: #4c1130;" /><span style="color: #4c1130;"> </span><br style="color: #4c1130;" /><span style="color: #4c1130;"> 10. Esenthel Engine</span><br />
<span style="font-size: small;"><br />
<span style="background-color: white;">Game engine yang akan saya ambil untuk diperbandingkan adalah C4 Engine (berbayar) dan OGRE (gratis). Berikut perbandingannya. </span></span><span style="font-size: small;"><br />
<u><br />
<span style="color: magenta;">Perbandingan Game Engine C4 Engine dengan OGRE </span></u></span><span style="font-size: small;"><br />
<br />
Sebelum dibandingkan alangkah lebih baiknya saya berikan gambaran singkat dari kedua game engine tersebut. </span><span style="font-size: small;"><br />
<br />
<span style="background-color: white;">• C4 Engine. Telah mendukung banyak sistem operasi. Game engine ini sudah memiliki paket lengkap untuk pembuatan suatu game dengan dilengkapi oleh teknologi musik dan suara 3D, komunikasi jaringan, perangkat input, memori dan manajemen sumber daya, dan masih banyak lagi. </span></span><span style="font-size: small;"><br />
<br />
<span style="background-color: white;">• OGRE. Singkatan dari Object-Oriented Graphics Rendering Engine yang merupakan game engine fleksibel yang berbasis scene ditulis dengan bahasa C++ didesain agar lebih mudah dipakai oleh para developer untuk memproduksi game dan demo yang menggunakan hardware 3D. Library kelas menggambarkan semua rincian dari penggunaan sistem library seperti Direct3D dan OpenGL yang menyediakan sebuah antarmuka berbasis pada objek dunia dan kelas intuitif lainnya.</span></span><br />
<br />
<br />
<br />
<br />
<div style="background-color: white; color: #134f5c;"><i><b>Sumber :</b></i><br />
<i><b><br />
</b></i><br />
<i><b>http://en.wikipedia.org/wiki/Game_engine</b></i><br />
<i><b><br />
</b></i><br />
<i><b>http://widilovers.ngeblogs.com/2010/03/28/analisa-game-engine</b></i><br />
<i><b><br />
</b></i><br />
<i><b>http://en.wikipedia.org/wiki/List_of_game_engines</b></i><br />
<i><b><br />
</b></i><br />
<i><b>http://www.ilhamsk.com</b></i><br />
<i><b><br />
</b></i><br />
<i><b>http://fitrairfansyah.blogspot.com/2010/06/komputer-dan-game.html</b></i></div><div style="background-color: white; color: #134f5c;"><i><b><br />
</b></i></div><div style="background-color: white; color: black;"><i style="color: #134f5c;"><b>http://dio-donaika.blogspot.com/2011/03/pengertian-game-engine.html</b></i> <span style="font-size: small;"><span style="background-color: white;"> </span></span> </div></div>zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-31209287615495414922012-03-29T17:47:00.000-07:002012-03-29T17:47:10.689-07:00DASAR - DASAR TEORI GAME<h3 class="post-title entry-title" style="font-family: Times,"Times New Roman",serif; text-align: justify;"> <b style="color: cyan;">DASAR - DASAR TEORI GAME</b> </h3><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif;"> </span></div><div class="post-header" style="font-family: Times,"Times New Roman",serif; text-align: justify;"> </div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif;"> </span></div><div style="text-align: justify;"> </div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: medium;"><b>Teori permainan</b> adalah suatu cara belajar yang digunakan dalam menganalisa interaksi antara sejumlah pemain maupun perorangan yang menunjukkan strategi-strategi yang rasional. Teori permainan pertama kali ditemukan oleh sekelompok ahli Matematika pada tahun 1944. Teori itu dikemukakan oleh John von Neumann and Oskar Morgenstern yang berisi :</span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: medium;"><br />
“Permainan terdiri atas sekumpulan peraturan yang membangun situasi bersaing dari dua sampai beberapa orang atau kelompok dengan memilih strategi yang dibangun untuk memaksimalkan kemenangan sendiri atau pun untuk meminimalkan kemenangan lawan. Peraturan-peraturan menentukan kemungkinan tindakan untuk setiap pemain, sejumlah keterangan diterima setiap pemain sebagai kemajuan bermain, dan sejumlah kemenangan atau kekalahan dalam berbagai situasi.” <br />
<u><br />
<b>Pengertian Game</b></u><br />
Menurut Agustinus Nilwan dalam bukunya “Pemrograman Animasi dan Game Profesional” terbitan Elex Media Komputindo, game merupakan permainan komputer yang dibuat dengan teknik dan metode animasi. Jika ingin mendalami pengunaan animasi haruslah memahami pembuatan game. Atau jika ingin membuat game, maka haruslah memahami teknik dan metode animasi, sebab keduanya saling berkaitan.</span><span class="fullpost" style="font-size: medium;"><br />
<u><b><br />
Animasi</b></u><br />
Animasi dapat dibuat dengan tiga teknik berbeda, yaitu Image, Xoring serta make. Dan dalam pergerakannya dapat bertipe object sprite atau object frame. Juga bisa dibedakan atas metode animasi yang digunakan antara animasi frame, bibliting dan realtime. Walaupun terbagi atas berbagai definisi berbeda, tapi dalam prakteknya teori-teori tersebut dapat digabungkan atau saling berhubungan sehingga tidak murni dipakai sendiri. Macam-macam animasi yang digunakan dalam membuat sebuah game akan diterangkan sebagai berikut :<br />
<u><b><br />
1. Animasi Dengan Teknik Image</b></u><br />
Animasi dengan teknik ini adalah menyimpan image sebagai sebuah sprite dalam memori yang kemudian akan ditampilkan di backgroundnya. Dalam teknik ini animasi yang disimpan harus berlatar belakang sesuai backgroundnya. Animasi dengan teknik ini biasanya sulit dalam pembuatan gambarnya, sebab harus banyak dan melakukan penyamaan dan posisi. Akan tetapi teknik ini mudah dalam hal memainkan animasinya.<br />
<br />
<u><b>2. Animasi Dengan Teknik Xoring</b></u><br />
Teknik ini adalah teknik animasi yang mudah dan sederhana, sebab selain gambarnya satu sprite, cara menampilkannya juga jauh lebih mudah dibanding dengan teknik sebelumnya. Pembuatan gambarnya sangat mudah, sebab yang dibuat adalah spritenya saja dan tidak perlu menyamakan dengan backgroundnya. Kelemahan dari teknik ini adalah memiliki efek buruk yaitu tembus pandang dan mengganti warna sprite, maka hal ini tidak baik digunakan dalam animasi yang backgroundnya bergambar.<br />
<u><b><br />
3. Animasi Dengan Teknik Make</b></u><br />
Animasi dengan teknik ini biasanya digunakan untuk animasi umum, tapi biasanya digunakan untuk proses pembuatan animasi. Animasi dengan teknik ini memiliki sprite yang terus menerus digenerate oleh program, kemudian ditampilkan dengan perhitungan tertentu.<br />
Animasi ini biasanya dilakukan oleh 3D modelling dan shading software seperti AutoCad, 3D Studio, Presidio 3D Workshop dan lain-lain. Operasi diatas haruslah digenerate secara langsung dengan perhitungan sehingga saat pembuatan hampir bersamaan dengan saat menampilkannya<br />
<br />
<u><b>4. Animasi Dengan Tipe Object Sprite</b></u><br />
Animasi ini menggunakan sprite sebagai pemeran utama sedangkan object lainnya hanya background diam. Prosesnya adalah mebuat gambar sprite dengan latar belakang warna hitam, lalu dibuat juga sprite yang sama tetapi berwarna hitam dan latar belakangnya adalah warna tertinggi, kemudian ditempatkan dengan pertama-tama menyimpan background yang akan ditimpa oelh sprite dan ditempatkan sprite dengan Xor dan Ditimpa dengan warna tertinggi secara Xor.<br />
<br />
<u><b>5. Animasi Dengan Tipe Object Frame</b></u><br />
Animasi ini menitik beratkan animasi yang dimainkan hanya pada sprite objectnya saja, akan tetapi seluruh backgroundnya juga seolah-olah ikut digerakkan.<br />
<br />
<u><b>6. Metode Animasi frame</b></u><br />
Metode ini adalah metode animasi yang mendukung tipe object frame. Karena metode animasi dengan metode full-screen, maka frame yang tampil haruslah disiapkan terlebih dahulu dalam bebera page sebelumnya. Karena hal tersebut maka pengambilan gambarnya haruslah sangat cepat, sehingga tidak menjadikan animasi lamban dan tersendat. Animasi frame ini haruslah menampilkan gambar fullscreen yang bergerak, agar efek tersendat dari pergantian frame tidak menyolok.<br />
<u><b><br />
7. Metode Animasi BitBlt</b></u><br />
Metode animasi ini biasanya disebut sprite animation, array animation, blocked animation, partial screen animation, snapshot animation atau arcade animation. Prinsip dari metode ini adalah menyimpan image dan memainkan animasinya dalam bentuk satu atau bebera sprite kecil.<br />
<u><b><br />
8. Metode Animasi Real-Time</b></u><br />
Dalam metode ini biasanya semua animasi yang sedang tampil atau yang akan dibuat dilakukan bersama sehingga tidak perlu disiapkan terlebih dahulu. Karena animasi ini lambat dan tersendat maka animasi dengan metode ini akan bagus jika pergerakan yang akan dilakukan adalah tidak diketahui sebelumnya dan tiba-tiba muncul. Metode ini tidak disarankan untuk animasi biasa-biasa saja, akan tetapi sebaiknya digunakan untuk keperluan khusus seperti rotating dan tweening<a href="http://tutorialkuliah.blogspot.com/2009/06/stop-dreaming-start-action-komitmen.html"><br />
</a></span></div>zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-23714548811965775652011-12-30T15:15:00.001-08:002011-12-30T15:15:36.002-08:00KONTROVERSI SEA GAMES KE 26SEA Games merupakan ajang olahraga bergengsi yang dilaksanakan oleh Negara – Negara Asean. SEA Games ke 26 yang diselenggarakan di Indonesia pada bulan November kemarin ternyata menuai banyak kontroversi. Yang dimulai dari belum siapnya sarana olahraga yang akan digunakan hingga diliburkannya siswa – siswa SD, SMP dan SMA. Lalu bagaimana kita menanggapi semua kontroversi ini?<br />
<br />
Suara yang meminta pelaksanaan SEA Games 2011 ditunda mulai bergema dari gedung wakil rakyat. Wakil Ketua Komisi X DPR Utut Adianto adalah salah seorang yang serius menyarankan agar pemerintah tidak lagi memaksakan penyelenggaraan event olahraga se-Asia Tenggara itu sesuai dengan jadwal semula, yaitu 11–22 November 2011. Dia menyarankan agar pemerintah memundurkan jadwal pelaksanaan SEA Games setidaknya 3–4 bulan. Berdasar pantauan pihaknya hingga beberapa hari terakhir, sejumlah venue untuk beberapa cabang olahraga masih belum siap. Di antaranya, kolam renang, stadion atletik, dan lapangan tembak. Karena kesuksesan penyelenggaraan SEA Games tidak hanya cukup dijawab dengan pernyataan pemerintah yang berulang-ulang siap mempercepat pengerjaan venue. Persoalan penyiapan venue bukan semata –mata persoalan kesiapan menambah jumlah tenaga pekerja atau semacamnya. Kesuksesan dari acara ini juga dilihat dari layak atau tidaknya sarana olahraga untuk berbagai pertandingan di masing – masing cabang olahraga.<br />
<br />
Tetapi tidak semua anggota menyampaikan kritik dan kekhawatirannya atas pelaksanaan SEA Games. Terdapat beberapa orang yang menyatakan bahwa pelaksanaan SEA Games kali ini akan berjalan lancer, semua sarana dan prasarana sudah disiapkan secara maksimal. Tetapi menurut saya penyelenggaraan SEA Games kali ini memang tidak maksimal karena banyaknya sarana yang belum siap sepenuhnya. Para atlit pun mengeluhkan tidak maksimalnya persiapan kelengkapan untuk SEA Games, tidak hanya dari para pemain yang mengeluhkan SEA Games kali ini. Kontingen dayung Singapura pun memprotes penyiapan fasilitas dayung, sementara kontingen Filipina dikutip menyebut SEA Games ini paling kacau dibanding perhelatan sebelumnya.<br />
<br />
Sementara untuk masalah siswa diliburkan juga banyak menuai kritik keras dari berbagai pihak. Dirjen Pendidikan Dasar misalnya, meminta dengan tegas bagi para siswa yang diliburkan agar mendapatkan waktu belajar pengganti pada saat diliburkan. Memang waktu belajar pengganti sangat dibutuhkan agar siswa dapat mengejar semua materi pelajaran yang akan dihadapi pada ujian.<br />
Tapi diluar dari semua kontroversi itu, SEA Games kali ini sudah berjalan dengan sesuai rencana. Indonesia berhasil menjadi juara umum dengan mengoleksi medali paling banyak dari Negara ASEAN lainnya. Itu menutupi berbagai kontroversi yang ada sebelum pelaksanaan SEA Games ke 26 berlangsung.zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-79480364255495712192011-12-30T15:13:00.001-08:002011-12-30T15:13:44.508-08:00KONTROVERSI PULAU KOMODO MENJADI NEW 7 WONDERSPada Desember 2007, terpilih destinasi wisata di Indonesia yang masuk nominasi New 7 Wonders, yaitu Taman Nasional Komodo, Danau Toba dan Anak Gunung Krakatau bersama-sama dengan 440 dari 220 Negara. Pada bulan Agustus 2008, Indonesia mendaftar sebagai salah satu panitian pendukung resmi dengan membayar biaya administrasi masing-masing destinasi sebesar US$199 atau sekitar Rp 1,7 juta. Barulah pada 21 Juli 2001, Taman Nasional Komodo menjadi nominasi dari Indonesia dari 28 finalis lainnya. Setelah kesediaan Indonesia mengikuti N7W, dan disinilah mulai banyak kontroversi yang terjadi.<br />
<br />
Kontroversi yang ada antara lain, Indonesia diminta membayar US$10 juta atau sekitar Rp 89,7 miliar, kemudian kontroversi vote komodo yang dimulai dari internet lalu sms dengan tarif Rp 1000/sms hingga Rp 1/sms, kemudian ditambah lagi pernyataan yang akan menjadikan pulau komodo menjadi bali kedua. Tapi jika benar pulau komodo akan menjadi bali keuda, maka ditakutkan populasi komodo akan semakin menurun dikarenakan aktivitas manusia yang terlalu banyak.<br />
<br />
Kemudian mengenai vote komodo, banyak yang mengatakan bahwa keberadaan kantor N7W di Swiss tidak sah dan bukan bagian dari UNESCO yang berurusan dengan warisan dunia, yang jelas dari organisasi ini hanyalah alamat emailnya saja. Untuk itu pemerintah Indonesia menghimbau agar rakyat Indonesia tidak terjebak dalam permainan N7W yang disinyalir hanya mengambil keuntungan dari tarif sms yang dikirim untuk vote pulau komodo.<br />
<br />
Jadi kita sebagai masyarakat Indonesia harus mampu mengetahui secara jelas keberadaan organisasi N7W ini, jangan sampai kita tertipu oleh organisasi ini dan jangan sampai kita dirugikan juga. Sekarang tinggal kembali kepada kita bagaimana menanggapi pulau komodo menjadi 7 keajaiban dunia yang baru, kita harus bisa menjaga kelestarian pulau komodo ini dari kepunahan.zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-50732784541308112272011-11-17T17:05:00.000-08:002011-11-17T17:05:23.702-08:00RUANG ALAMAT LOGIKA DAN RUANG ALAMAT FISIK<div style="text-align: center;"><b><span class="Apple-style-span" style="font-size: large;">RUANG ALAMAT LOGIKA DAN RUANG ALAMAT FISIK</span></b></div><div style="text-align: center;"><b><span class="Apple-style-span" style="font-size: large;"><br />
</span></b></div>Alamat yang dibangkitkan oleh CPU disebut alamat logika (logical address)<br />
dimana alamat terlihat sebagai uni memory yang disebut alamat fisik (physical address).<br />
Tujuan utama manajemen memori adalah konsep meletakkan ruang alamat logika ke<br />
ruang alamat fisik. Hasil skema waktu kompilasi dan waktu pengikatan alamat pada<br />
alamat logika dan alamat memori adalah sama. Tetapi hasil skema waktu pengikatan<br />
alamat waktu eksekusi berbeda. dalam hal ini, alamat logika disebut dengan alamat maya<br />
(virtual address). Himpunan dari semua alamat logika yang dibangkitkan oleh program<br />
disebut dengan ruang alamat logika (logical address space); himpunan dari semua alamat fisik<br />
yang berhubungan dengan alamat logika disebut dengan ruang alamat fisik (physical<br />
address space).<br />
<br />
Memory Manajement Unit (MMU) adalah perangkat keras yang memetakan<br />
alamat virtual ke alamat fisik. Pada skema MMU, nilai register relokasi ditambahkan ke<br />
setiap alamat yang dibangkitkan oleh proses user pada waktu dikirim ke memori.<br />
<br />
Register basis disebut register relokasi. Nilai dari register relokasi ditambahkan ke<br />
setiap alamat yang dibangkitkan oleh proses user pada waktu dikirim ke memori.<br />
sebagai contoh, apabila basis 14000, maka user mencoba menempatkan ke alamat lokasi<br />
0 dan secara dinamis direlokasi ke lokasi 14000. Pengaksesan ke lokasi logika 346,<br />
maka akan dipetakan ke lokasi 14346. Sistem operasi MS-DOS yang masih keluarga<br />
intel 80X86 menggunakan empat register relokasi ketika proses loading dan running.<br />
User program tidak pernah melihat alamat fisik secara real. Program dapat<br />
membuat sebuah penunjuk ke lokasi 346, mengirimkan ke memory, memanipulasinya,<br />
membandingkan dengan alamat lain, semua menggunakan alamat 346. Hanya ketika<br />
digunakan sebagai alamat memory akan direlokasi secara relatif ke register basis.zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-89109519915280857622011-11-15T17:36:00.000-08:002011-11-15T17:36:36.723-08:00Overlay<div style="text-align: center;"><b><span class="Apple-style-span" style="font-size: large;">Overlay</span></b></div><div style="text-align: justify;"><b><span class="Apple-style-span" style="font-size: large;"><br />
</span></b></div><div style="text-align: justify;">Sebuah proses dapat lebih besar daripada jumlah memori yang dialokasikan</div><div style="text-align: justify;">untuk proses, teknik overlay biasanya digunakan untuk kasus ini. Teknik Overlay</div><div style="text-align: justify;">biasanya digunakan untuk memungkinkan sebuah proses mempunyai jumlah yang lebih</div><div style="text-align: justify;">besar dari memori fisik daripada alokasi memori yang diperuntukkan. Ide dari overlay</div><div style="text-align: justify;">adalah menyimpan di memori hanya instruksi dan data yang diperlukan pada satu</div><div style="text-align: justify;">waktu. Jika intruksi lain diperlukan, maka instruksi tersebut diletakkan di ruang</div><div style="text-align: justify;">memori menggantikan instruksi yang tidak digunakan lagi.</div><div style="text-align: justify;">Sebagai contoh misalnya terdapat two-pass assembler. Selama pass 1, dibangun</div><div style="text-align: justify;">table symbol, dan selama pass 2 dibangkitkan kode bahasa mesin. Kita dapat membagi</div><div style="text-align: justify;">assembler ke dalam kode pass 1, kode pass 2, tabel symbol dan rutin umum yang</div><div style="text-align: justify;">digunakan baik pada pass 1 maupun pass 2. Diasumsikan ukuran komponen sebagai</div><div style="text-align: justify;">berikut :</div><div style="text-align: justify;"><br />
</div><div style="text-align: justify;"> Pass 1 70K</div><div style="text-align: justify;"> Pass 2 80K</div><div style="text-align: justify;"> Tabel symbol 20K</div><div style="text-align: justify;"> Rutin umum 30K</div><div style="text-align: justify;"><br />
</div><div style="text-align: justify;">Apabila semua diletakkan di memori memerlukan 200K. Jika hanya tersedia tempat</div><div style="text-align: justify;">150K, proses tidak dapat dijalankan. Pass 1 dan pass 2 tidak perlu berada di memori</div><div style="text-align: justify;">pada waktu yang sama. Dengan menggunakan overlay, rutin dibagi dalam 2 overlay.</div><div style="text-align: justify;">Overlay A adalah tabel symbol, rutin umum dan pass1 (membutuhkan total 120K) dan</div><div style="text-align: justify;">overlay B terdiri dari tabel symbol, rutin umum dan pass 2 (membutuhkan 130K).</div><div style="text-align: justify;">Ditambahkan 10K untuk driver overlay dan dimulai dari overlay A. Setelah selesai</div><div style="text-align: justify;">dijalankan overlay B dengan mengganti tempat dari overlay A. Overlay tidak membutuhkan</div><div style="text-align: justify;">dukungan khusus dari sistem operasi. User dapat mengimplementasikannya secara </div><div style="text-align: justify;">lengkap menggunakan struktur file sederhana, membaca dari file ke memori dan </div><div style="text-align: justify;">meloncat ke memori dan mengeksekusi instruksi read yang lebih baru. Sistem operasi </div><div style="text-align: justify;">memberitahu hanya jika terdapat I/O yang melebihi biasanya. Penggunaan overlay </div><div style="text-align: justify;">terbatas untuk beberapa sistem yang mempunyai jumlah memori fisik terbatas dan </div><div style="text-align: justify;">kekurangan dukungan H/W untuk teknik yang lebih lanjut.</div>zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-65165904759048112422011-11-14T07:49:00.000-08:002011-11-14T07:49:23.010-08:00Pengikatan Alamat (Address Binding) and Dinamic Loading<div style="text-align: center;"><span style="font-size: large;"><b>Pengikatan Alamat (Address Binding) </b></span></div><br />
<div style="text-align: justify;">Pengikatan alamat adalah cara instruksi dan data (yang berada di disk sebagai file yang dapat dieksekusi) dipetakan ke alamat memori. Sebagian besar sistem memperbolehkan sebuah proses user (user process) untuk meletakkan di sembarang tempat dari memori fisik. Sehingga, meskipun alamat dari komputer dimulai pada 00000, alamat pertama dari proses user tidak perlu harus dimulai 00000. Pada beberapa kasus, program user akan melalui beberapa langkah sebelum dieksekusi (Gambar 7-1). Alamat pada source program umumnya merupakan alamat simbolik. Sebuah compiler biasanya melakukan pengikatan alamat simbolik (symbolic address) ke alamat relokasi dipindah (relocatable address). Misalnya compiler mengikatkan alamat simbolik ke alamat relokasi “14 byte from the beginning of this module”. Editor Linkage mengikatkan alamat relokasi ini ke alamat absolute (absolute addresses) “74014”. <br />
Instruksi pengikatan instruksi dan data ke alamat memori dapat dilakukan pada saat : <br />
• Compile time : Jika lokasi memori diketahui sejak awal, kode absolut dapat dibangkitkan, apabila terjadi perubahan alamat awal harus dilakukan kompilasi ulang. Misalnya : program format .com pada MS-DOS adalah kode absolut yang diikat pada saat waktu kompilasi <br />
• Load time : Harus membangkitkan kode relokasi jika lokasi memori tidak diketahui pada saat waktu kompilasi. <br />
• Execution time : Pengikatan ditunda sampai waktu eksekusi jika proses dapat dipindahkan selama eksekusi dari satu segmen memori ke segmen memori lain. </div><div style="text-align: center;"><span style="font-size: large;"><b> </b></span></div><div style="text-align: center;"><span style="font-size: large;"><b>Dinamic Loading</b></span> </div><div style="text-align: center;"><br />
</div><div style="text-align: justify;">Untuk memperoleh utilitas ruang memori, dapat menggunakan dynamic loading. Dengan dynamic loading, sebuah rutin tidak disimpan di memori sampai dipanggil. Semua rutin disimpan pada disk dalam format relocatable load. Mekanisme dari dynamic loading adalah program utama di-load dahulu dan dieksekusi. Bila suatu routine perlu memanggil routine lain, routine yang dipanggil lebih dahulu diperiksa apakah rutin yang dipanggil sudah di-load. Jika tidak, relocatable linking loader dipanggil untuk me-load rutin yg diminta ke memori dan meng-ubah tabel alamat. Keuntungan dari dynamic loading adalah rutin yang tidak digunakan tidak pernah di-load. Skema ini lebih berguna untuk kode dalam jumlah besar diperlukan untuk menangani kasus-kasus yang jarang terjadi seperti error routine. Dinamic loading tidak memerlukan dukungan khusus dari sistem operasi. Sistem operasi hanya perlu menyediakan beberapa rutin pustaka untuk implementasi dynamic loading. Dinamic Linking sebagian besar sistem operasi hanya men-support static linking, dimana sistem library language diperlakukan seperti obyek modul yang lain dan dikombinasikan dengan loader ke dalam binary program image. Konsep dynamic linking sama dengan dynamic loading. Pada saat loading, linking ditunda sampai waktu eksekusi. Terdapat kode kecil yang disebut stub digunakan untuk meletakkan rutin library di memori dengan tepat. Stub diisi dengan alamat rutin dan mengeksekusi rutin. Sistem operasi perlu memeriksa apakah rutin berada di alamat memori. Dinamic linking biasanya digunakan dengan sistem library, seperti language subroutine library. Tanpa fasilitas ini, semua program pada sistem perlu mempunyai copy dari library language di dalam executable image. Kebutuhan ini menghabiskan baik ruang disk maupun memori utama. Bagaimanapun, tidak seperti dynamic loading, dynamic linking membutuhkan beberapa dukungan dari sistem operasi, misalnya bila proses-proses di memori utama saling diproteksi, maka sistem operasi melakukan pengecekan apakah rutin yang diminta berada diluar ruang alamat. Beberapa proses diijinkan untuk mengakses memori pada alamat yang sama. File dynamic linking berekstensi .dll, .sys atau .drv </div>zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com1tag:blogger.com,1999:blog-8381023387905510217.post-85681712832715645882011-11-13T08:40:00.000-08:002011-11-13T08:40:13.843-08:00Design Grafis<div style="text-align: center;"><span style="font-size: large;"><b>DESIGN GRAFIS</b></span> </div><br />
Design Grafis adalah proses untuk menciptakan tampilan sebuah publikasi, presentasi, atau di situs web yang menarik, dengan cara logis. Ketika desain selesai maka: menarik perhatian, menambah nilai, dan meningkatkan minat audiens, simpel, terorganisir, memberikan penekanan selektif, dan menciptakan kesatuan yang utuh. Design grafis tidak bisa dipisahkan dari kehidupan sehari-hari. Hampir semua sektor kehidupan memerlukan seorang designer grafis, meskipun bukan profesional. Di dunia pendidikan, buku-buku yang dicetak dan dipelajari anak-anak, didesain sedemikian rupa oleh seorang desainer. Begitu pula dengan dunia bisnis, brosur,logo, kartu nama, dan Desain Website, termasuk kategori desain grafis.<br />
<br />
Apa saja yang dibutuhkan untuk menjadi seorang designer grafis? Untuk yang ingin menjadi profesional, tentunya harus sekolah atau Pendidikan Desain grafis. Selain praktek, teori yang dipelajari juga akan membuat seorang desainer mampu memberikan hasil yang terbaik. Belajar secara otodidak juga dimungkinkan dengan banyaknya tutorial desain grafis yang dapat dipelajari secara gratis.<br />
Ilmu Grafis Design Komvis Kontribusi Warna Bagi Kehidupan dan Karya Desain Komunikasi Visual mengupas penggunaan Warna sebagai intisari objek dalam berinteraksidengan dunia. Warna juga digunakan sebagai simbolisme karena mempunyai kiasan dan nilai filosofis. Memahami warna akan menguatkan makna dalam penggunaan karya design.<br />
<br />
Tujuan design web adalah untuk membuat situs web atau dokumen elektronik dan aplikasi yang berada pada web server dan menampilkan konten dan fitur antarmuka interaktif kepada pengguna akhir dalam bentuk halaman Web. Seperti unsur-unsur teks, gambar (gif, jpeg) untuk ditempatkan pada halaman menggunakan HTML / XHTML / tag XML. Design web juga dapat membantu kita untuk memasarkan produk dagang kita agar para konsumen mengetahui barang yang kita pasarkan, untuk Perusahaan pun sangat berguna karena dengan ini Perusahaan mereka dapat berkembang pesatDesign grafis tidak terbatas pada web design saja tetapi banyak berguna untuk Logo perusahaan anda, Brosur-brosur dan Mengenalkan atau Memasarkan barang yang akan anda jual ke Pasaran. Design grafis membuat semua itu menjadi lebih menarik dan eye catching untuk dilihat oleh orang lain, karena hal ini dapat membuat orang lain penasaran akan sesuatu yang kita beri sentuhan design grafis.zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com2tag:blogger.com,1999:blog-8381023387905510217.post-12523210200950399372011-11-06T06:23:00.000-08:002011-11-06T06:23:37.187-08:00JOIN DALAM MYSQL<div style="text-align: center;"><strong><span style="font-size: large;">JOIN DALAM MYSQL</span></strong></div><br />
JOIN dalam mysql adalah Salah satu fitur SQL yang paling berguna untuk menggabungkan table dengan query – query yang mendapatkan kembali data. Join adalah salah satu dari beberapa operasi paling penting yang dapat anda lakukan dengan menggunakan statement SELECT .<br />
<br />
A . <em>INNER JOIN</em> adalah Join yang menciptakan table hasil baru dengan menggabungkan nilai nilai kolom dari dua table ( A dan B ) didasarkan pada join predikat<br />
<br />
CONTOH : SELECT supplier.Nama, Barang.Nama, Barang.Harga<br />
FROM supplier INNER JOIN Barang<br />
ON supplier.KodeSup = Barang.KodeSup<br />
<br />
B. <em>SELF JOIN</em> adalah Join yang bergabung dengan sebuah table ke dirinya sendiri .<br />
CONTOH : SELECT c1.KodeCus, c1.Nama, c1.Kontak<br />
FROM Customer c1, Customer c2<br />
WHERE c1.Nama = c2.Nama<br />
AND c2.Kontak='Jim Jones'<br />
<br />
OUTPUT<br />
KodeCus Nama Kontak<br />
------- ---- ------<br />
1000000003 Fun4All Jim Jones<br />
1000000004 Fun4All Denise L. Stephens<br />
<br />
<br />
C. <em>NATURAL JOIN</em> adalah Join yang dimana dilakukan dengan menggunakan wildcard ( SELECT * ) untuk suatu table dan sub-kumpulan eksplit dan field untuk semua table lainya.<br />
<br />
CONTOH : SELECT Customer.KodeCus, Penjualan.NoFaktur<br />
FROM Customer INNER JOIN Penjualan<br />
ON Customer.KodeCus = Penjualan.KodeCus<br />
<br />
Untuk<br />
mendapatkan kembali daftar semua pelanggan, termasuk pelanggan yang<br />
tidak membuat pesanan, Anda dapat melakukan hal berikut :<br />
<br />
INPUT<br />
SELECT Customer.KodeCus, Penjualan.NoFaktur<br />
FROM Customer LEFT OUTER JOIN Penjualan<br />
ON Customer.KodeCus = Penjualan.KodeCus<br />
<br />
OUTPUT<br />
KodeCus NoFaktur<br />
------- --------<br />
1000000001 20005<br />
1000000001 20009<br />
1000000002 NULL<br />
1000000003 20006<br />
1000000004 20007<br />
1000000005 20008<br />
<br />
<br />
D. <em>OUTER JOIN </em>adalah sebuah join yang tidak memerlukan setiap record dalam dua table bergabung untuk memiliki catatan cocok . table bergabung dengan mempertahankan setiap catatan – bahkan jika tidak ada catatan yang cocok lainya ada. Luar bergabung membagi lebih lanjut lebih ke kiri luar bergabung , kanan luar bergabung , dan penuh luar bergabung , tergantung pada table (s) mempertahankan satu baris dari ( kiri, kanan atau keduanya )<br />
<br />
CONTOH :<br />
<br />
INPUT<br />
SELECT Customer.KodeCus, Penjualan.NoFaktur<br />
FROM Customer INNER JOIN Penjualan<br />
ON Customer.KodeCus = Penjualan.KodeCuszerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-62744373210302272072011-11-05T01:52:00.000-07:002011-11-05T01:52:17.982-07:00CLASS DIAGRAM<div style="text-align: center;"><strong><span style="font-size: large;">CLASS DIAGRAM</span></strong></div><div style="text-align: center;"><strong><span style="font-size: large;"><br />
</span></strong></div>Class diagram merupakan diagram yang selalu ada di permodelan sistem berorientasi objek.<br />
Class diagram menunjukkan hubungan antar class dalam sistem yang sedang dibangun dan bagaimana <br />
mereka saling berkolaborasi untuk mencapai suatu tujuan.Diagram kelas adalah diagram UML yang menggambarkan kelas-kelas dalam sebuah sistem dan hubungannya antara satu dengan yang lain, serta dimasukkan pula atribut dan operasi.<br />
Class Diagram adalah suatu diagram yang memperlihatkan atau menampilkan struktur dari sebuah sistem,sistem tersebut akan menampilkan system kelas,atribut dan hubungan antara kelas ketika suatu sistem telah selesai membuat diagram.<br />
<br />
Objek diagram adalah suatu diagram yang berfungsi untuk mengatur atribut,objek dan<br />
hubungan antara contoh dalam diagram,ojek diagram juga dapat menampilkan struktur model system<br />
dalam waktu tertentu.<br />
<br />
• Class : Class adalah blok - blok pembangun pada pemrograman berorientasi obyek.<br />
Sebuah class digambarkan sebagai sebuah kotak yang terbagi atas 3 bagian. Bagian atas adalah bagian <br />
nama dari class. Bagian tengah mendefinisikan property/atribut class. Bagian akhir mendefinisikan <br />
methodmethod dari sebuah class<br />
• Association : Sebuah asosiasi merupakan sebuah relationship paling umum antara 2 class dan <br />
dilambangkan oleh sebuah garis yang menghubungkan antara 2 class. Garis ini bisa melambangkan <br />
tipe-tipe relationship dan juga dapat menampilkan hukum-hukum multiplisitas pada sebuah relationship.<br />
(Contoh: One-to-one, one-to-many, many-to-many).<br />
• Composition : Jika sebuah class tidak bisa berdiri sendiri dan harus merupakan bagian dari <br />
class yang lain, maka class tersebut memiliki relasi Composition terhadap class tempat dia <br />
bergantung tersebut. Sebuah relationship composition digambarkan sebagai garis dengan ujung <br />
berbentuk jajaran genjang berisi/solid.<br />
• Dependency : Kadangkala sebuah class menggunakan class yang lain. Hal ini disebut dependency. <br />
Umumnya penggunaan dependency digunakan untuk menunjukkan operasi pada suatu class yang menggunakan class yang lain. Sebuah dependency dilambangkan sebagai sebuah panah bertitik-titik.zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-16896032818279835062011-10-30T03:43:00.000-07:002011-10-30T03:43:16.612-07:00Pengenalan Router<div style="text-align: center;"><span style="font-size: large;"><b>Router</b></span> </div><div style="text-align: center;"><br />
</div>Router adalah perangkat jaringan yang digunakan untuk membagi protocol kepada anggota jaringan yang lainnya, dengan adanya router maka sebuah protocol dapat di-sharing kepada perangkat jaringan lain. Contoh aplikasinya adalah jika kita ingin membagi IP Adress kepada anggota jaringan maka kita dapat menggunakan router ini, ciri-ciri router adalah adanya fasilitas DHCP (Dynamic Host Configuration Procotol), dengan mensetting DHCP, maka kita dapat membagi IP Address, fasilitas lain dari Router adalah adanya NAT (Network Address Translator) yang dapat memungkinkan suatu IP Address atau koneksi internet disharing ke IP Address lain.<br />
<br />
Misalnya jika pada suatu perangkat jaringan (komputer) memiliki IP Adress 192.168.0.1, maka agar komputer lain dapat berkomunikasi, harus diberikan IP Address dengan Network Identification 192.168.0 dan dengan Host Identification 2-254, contoh 192.168.0.10, 192.168.0.11 dan seterusnya.<br />
Permasalahan akan muncul ketika perangkat jaringan yang terhubung sangat banyak (biasanya di atas 20 perangkat), seorang administrator akan dipaksa berkeliling untuk mensetting IP Address tiap host, Oleh karenanya kita dapat menggunakan Router.<br />
<br />
Jenis-jenis Router<br />
1. Router Aplikasi<br />
2. Router Hardware<br />
3. Router PC<br />
<br />
Router aplikasi adalah aplikasi yang dapat kita instal pad sistem operasi, sehingga sistem operasi tersebut akan memiliki kemampuan seperti router, contoh aplikasi ini adalah Winroute, WinGate, SpyGate, WinProxy dan lain-lain.<br />
<br />
Router Hardware adalah merupakan hardware yang memiliki kemampuan sepertiu router, sehingga dari hardware tersebut dapat memancarkan atau membagi IP Address dan men-sharing IP Address, pada prakteknya Router hardware ini digunakan untuk membagi koneksi internet pada suatu ruang atau wilayah, contoh dari router ini adalah access point, wilayah yang dapat mendapat Ip Address dan koneksi internet disebut Hot Spot Area.<br />
<br />
Router PC adalah Sistem Operasi yang memiliki fasilitas untuk membagi dan mensharing IP Address, jadi jika suatu perangkat jaringan (pc) yang terhubung ke komputer tersebut akan dapat menikmati IP Address atau koneksi internet yang disebarkan oleh Sistem Operasi tersebut, contoh sistem operasi yang dapat digunakan adalah semua sistem operasi berbasis client server, semisal Windows NT, Windows NT 4.0, Windows 2000 server, Windows 2003 Server, MikroTik (Berbasis Linux), dan lain-lain.zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-65065598167675806622011-10-28T04:38:00.000-07:002011-10-28T04:38:36.514-07:00AI(Artifisial Intelegence)<div style="text-align: justify;"><!--[if !mso]> <style>
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</style> <![endif]--> </div><div class="MsoNormal" style="line-height: normal; text-align: center;"><span style="font-size: large;"><b><span style="font-family: "Times New Roman","serif";">TENTANG AI</span></b></span></div><div class="MsoNormal" style="line-height: normal; text-align: justify;"><br />
</div><div> </div><div class="MsoNormal" style="line-height: normal; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Kecerdasan buatan atau yang sering disebut dengan AI pada game ini terletak pada computer yang akan bertindak sebagai lawan. Komputer akan selalu berusaha mengalahkan user.Komputer dapat menyusun strateginya sendiri agar menjadi pemenang.</span></div><div class="MsoNormal" style="line-height: normal; text-align: justify;"><br />
</div><div style="text-align: justify;"></div><div style="text-align: center;"><b><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">GAME JENIS AI</span></b></div><b><span style="font-family: "Times New Roman","serif"; font-size: 12pt;"> </span></b><br />
<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt;"> </span></b><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span> <div class="MsoNormal" style="line-height: normal; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Game yang memiliki AI adalah dimana user dan komputer bermain melawan dan menggunakan strategi masing – masing untuk mengalahkan lawannya. Dimana komputer sudah di program untuk melawan user dengan tingkat kecerdasan yang setingkat dengan user. Sehingga user pun harus berusaha berpikir untuk melawan dan menggunakan strategi yang jitu untuk melawan komputer dengan AI. Maka, bisa disimpulkan bahwa konsep dari game yang memiliki kemampuan AI dibuat untuk mengasah kecerdasan berpikir user dalam melawan komputer saat bermain game. Berikut contoh game dengan menggunakan AI :</span></div><div class="MsoNormal" style="line-height: normal; text-align: justify;"><br />
</div><div style="text-align: justify;"> </div><div class="MsoNormal" style="line-height: normal; margin-bottom: 0.0001pt; text-align: center;"><a href="http://airnanda.files.wordpress.com/2011/01/1.jpg"><span style="color: blue; font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-no-proof: yes; text-decoration: none; text-underline: none;"><span style="mso-ignore: vglayout;"><img alt="http://airnanda.files.wordpress.com/2011/01/1.jpg?w=300&h=265" border="0" height="265" src="file:///C:/DOCUME%7E1/ANDRA%7E1.GAR/LOCALS%7E1/Temp/msohtmlclip1/01/clip_image001.jpg" width="300" /></span></span></a><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";"></span></div><div style="text-align: justify;"> </div><div class="MsoNormal" style="line-height: normal; text-align: center;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">The Game</span></div><div class="MsoNormal" style="line-height: normal; text-align: center;"><br />
</div><div style="text-align: justify;"> </div><div class="MsoNormal" style="line-height: normal; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Gambar diatas adalah game ROW 6×6, dimana cara bermain nya adalah bidak putih sebagai user dan bidak hitam adalah komputer lalu terdapat 36 kotak tempat bidak itu berjalan. Setiap bidak bejalan diagonal dan bidak putih hanya bisa berjalan kedepan dan tidak bisa berjalan mundur. Sedangkan bidak hitam juga hanya bisa berjalan diagonal dan bisa berjalan mundur. Lalu, AI dari game ini adalah dimana user menentukan posisi bidak putih dengan pola seperti apa yang bisa melawan komputer.</span></div><div class="MsoNormal" style="line-height: normal; text-align: justify;"><br />
</div><div style="text-align: justify;"> </div><div class="MsoNormal" style="line-height: normal; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman";">Komputer berjalan setelah user yang bermain terlebih dahulu, karena komputer bisa berjalan mundur maka, apabila user tidak cermat dalam mengambil strategi untuk melawan komputer, maka komputer akan dapat memenangkan permainan. Pola bidak putih untuk memenangkan permainan ini adalah pola segitiga dimanan bidak putih mengepung di depan, di samping kanan dan kiri dari bidak hitam.</span></div>zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-58421392963287465742011-10-27T18:25:00.000-07:002011-10-27T18:25:55.596-07:00MEA (Means-Ends Analysis)<div style="text-align: center;"><span style="font-size: large;"><b>MEA (Means-Ends Analysis)</b></span></div><div style="text-align: center;"><span style="font-size: large;"><b><br />
</b></span></div>•MEA adalah strategi penyelesaian masalah yang diperkenalkan pertama kali dalamGPS (General Problem Solver) [Newell & Simon, 1963].<br />
<br />
•Proses pencarian berdasarkan ruang masalah yang menggabungkan aspek penalaran forward dan backward.<br />
<br />
•Perbedaan antara state current dan goal digunakan untuk mengusulkan operator yang mengurangi perbedaan itu.<br />
<br />
•Keterhubungan antara operator dan perbedaan tsbdisajikan sebagai pengetahuan dalam sistem(padaGPS dikenal denganTable of Connections) atau mungkin ditentukan sampai beberapa pemeriksaan operator jika tindakan operator dapat dipenetrasi.<br />
<br />
•Contoh OPERATOR first-order predicate calculus dan operator2 tertentu mengijinkan perbedaan korelasi task-independent terhadap operator yang menguranginya.<br />
<br />
•Kapan pengetahuan ada tersedia mengenai pentingnya perbedaan, perbedaan yang paling utama terpilih pertama lebih lanjut meningkatkan rata-rata capaian dari MEA diatas strategi pencarian Brute-Force.<br />
<br />
•Bagaimanapun, bahkan tanpa pemesanan dari perbedaan menurut arti penting, MEA meningkatkan metode pencarian heuristiklain (dirata-rata kasus) dengan pemusatan pemecahan masalah pada perbedaan yang nyata antara current state dengan goal-nya.zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-62843751545266769882011-10-27T02:20:00.000-07:002011-10-27T02:20:58.026-07:00Constraint Satisfaction<div style="text-align: center;"><b><span style="font-size: large;">Constraint Satisfaction</span></b></div><div style="text-align: center;"><br />
</div>• Problem search standard :<br />
<div style="text-align: left;">– state adalah "black box“ – setiap struktur data yang mendukung fungsi successor, fungsi heuristik dan tes goal.</div><div style="text-align: left;"><br />
</div>•CSP: <br />
– state didefinisikan sebagai variabel X<br />
dengan nilai dari domain D<br />
– Tes goal adalah sekumpulan constraint yang menspesifikasikan kombinasi dari nilai subset variabel.<br />
<br />
• Contoh sederhana adalah bahasa representasi formal.<br />
<br />
• CSP ini merupakan algoritma general-purpose dengan kekuatan lebih daripada algoritma pencarian standar.<br />
<br />
• Binary CSP biner : setiap constraint merelasikan dua variabel<br />
<br />
• Graf Constraint : node adalah variabel, arc adalah constraintzerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com1tag:blogger.com,1999:blog-8381023387905510217.post-88400990026601801952011-10-25T06:19:00.000-07:002011-10-25T06:19:00.217-07:00Algoritma AO*<div style="text-align: center;"><span style="font-size: large;"><b>Algoritma AO*</b></span></div><div style="text-align: justify;">• Menggunakan struktur graf. Tiap node pada graf memiliki nilai h’ yang merupakan biaya estimasi jalur dari node itu sendiri sampai suatu solusi.<br />
• Algoritma 1. Diketahui graf yang berisi node <br />
awal (sebut saja INIT). Hitung h’(INIT)<br />
</div><div style="text-align: justify;">2. Kerjakan langkah berikut hingga INIT bertanda SOLVED atau sampai nilai h’(INIT) > FUTILITY :<br />
Teknik Pencarian Heuristik 17/25</div><div style="text-align: justify;"><br />
</div><div style="text-align: justify;"><br />
a) Ekspan INIT dan ambil salah satu node yang belum pernah diekspan (sebut NODE)<br />
</div><div style="text-align: justify;">b) Bangkitkan successor2 NODE. Jika tidak memiliki successor maka set FUTILITY dengan nilai h’(NODE). Jika ada successor maka untuk setiap successor (sebut SUCC) yang bukan ancestor dari NODE kerjakan :<br />
i. Tambahkan SUCC ke graf ii. Jika SUCC adalah terminal node tandai<br />
dengan SOLVED dan set nilai h’ = 0 iii. Jika SUCC bukan terminal node, hitung nilai h’.<br />
</div><div style="text-align: justify;">c) Kirimkan informasi baru tsb ke graf dengan cara : tetapkan S adalah node yang ditandai dengan SOLVED atau node yang nilai h’-nya baru saja diperbaiki, dan sampaikan nilai ini ke parent-nya. Inisialisasi S = NODE. </div><div style="text-align: justify;"><br />
</div><div style="text-align: justify;">Kerjakan langkah berikut ini hingga S kosong :</div><div style="text-align: justify;"><br />
i. Jika mungkin, seleksi dari S node yang tidak memiliki descendant dalam graf yang terjadi pada S. Jika tidak ada, seleksi sebarang node dari S (sebut CURRENT) dan hapus dari S.<br />
</div><div style="text-align: justify;">ii. Hitung biaya tiap2 arc yang muncul dari CURRENT. Biaya ini sama dengan jumlah h’ untuk tiap2 node pada akhir arc ditambah dengan biaya arc itu sendiri. Set h’(CURRENT) dengan biaya minimum yang baru saja dihitung dari setiap arc yang muncul tadi.<br />
</div><div style="text-align: justify;">iii. Tandai jalur terbaik yang keluar dari CURRENT dengan menandai arc yang memiliki biaya minimum.<br />
</div><div style="text-align: justify;">iv. Tandai CURRENT dengan SOLVED jika semua node yang dihubungkan dengannya hingga arc yang baru saja ditandai tadi telah ditandai dengan SOLVED.<br />
</div><div style="text-align: justify;">v. Jika CURRENT telah ditandai dengan SOLVED atau jika biaya CURRENT telah berubah maka status baru ini harus disampaikan ke graf. Kemudian tambahkan semua ancestor dari CURRENT ke S.</div>zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-16993119385880630912011-10-24T10:39:00.000-07:002011-10-24T10:39:51.497-07:00Reduksi Masalah<div style="font-family: "Courier New",Courier,monospace;"><span style="font-size: large;"> Reduksi Masalah</span></div><br />
• Kebanyakan solusi menggunakan pohon OR, dimana lintasan dari awal sampai tujuan tidak terletak pada satu cabang. <br />
• Bila lintasan dari keadaan awal sampai tujuan dapat terletak pada satu cabang, maka kita akan dapat menemukan tujuan lebih cepat.<br />
<br />
•<span style="font-size: large;"><b> Graf AND-OR •Graf AO*</b></span><br />
<br />
<b>Graf AND-OR</b><br />
• Pada dasarnya sama dengan algoritma Best First Search, dengan mempertimbangkan adanya arc AND.<br />
• Gambar berikut menunjukkan bahwa untuk mendapatkan TV orang bisa dengan cara singkat yaitu mencuri atau membeli asal mempunyai uang.<br />
• Untuk mendeskripsikan algoritma, digunakan nilai F_UTILITY untuk biaya solusi.<br />
Goal : Ingin Memiliki<br />
Membeli TVPunya UangMencuri TV<br />
<b><br />
</b><b>Algoritma AND-OR</b><br />
1. Inisialisasi graf ke node awal. 2. Kerjakan langkah2 berikut hingga node <br />
awal SOLVED atau sampai biayanya lebih tinggi dari F_UTILITY :<br />
a) Telusuri graf mulai dari node awal dan ikuti jalur terbaik. Akumulasikan kumpulan node yang ada pada lintasan tsb. dan belum pernah diekspansi atau diberi label SOLVED.<br />
b) Ambil satu node dan ekspansi node tsb. Jika tidak ada successor maka set F_UTILITY sebagai nilai dari node tsb. Bila tidak demikian, tambahkan successor dari node tsb ke graf dan hitung nilai setiap f’ (hanya gunakan h’ dan abaikan g). Jika f’=0 tandai node tsb dengan SOLVED.<br />
c) Ubah f’ harapan dari node baru yang diekspansi. Kirimkan perubahan ini secara backward sepanjang graf. Jika node berisi suatu arc successor yang semua descendant nya berlabel SOLVED maka tandai node itu dengan SOLVED.zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-78504460645715902752011-10-23T00:45:00.000-07:002011-10-23T00:45:05.834-07:00HILL CLIMBING(Jenis Metode Pencarian Heuristik)<b>HILL CLIMBING(Jenis Metode Pencarian Heuristik)</b><br />
<br />
· Hill climbing (mendaki bukit) merupakan salah<br />
satu variasi metode buat dan uji (generate and<br />
test) dimana umpan balik yang berasal dari<br />
prosedur uji digunakan untuk memutuskan arah<br />
gerak dalam ruang pencarian (search).<br />
<br />
· Dalam prosedur buat dan uji yang murni, respon<br />
fungsi uji hanyalah ya atau tidak.<br />
<br />
· Dalam prosedur Hill Climbing, fungsi uji<br />
dikombinasikan dengan fungsi heuristik yang<br />
menyediakan pengukuran kedekatan suatu<br />
keadaan yang diberikan dengan tujuan (goal).<br />
Prosedur Hill Climbing :<br />
<br />
1. Buatlah solusi usulan pertama dengan cara yang<br />
sama seperti yang dilakukan dalam prosedur<br />
buat dan uji (generate and test). Periksalah<br />
apakah solusi usulan itu merupakan sebuah<br />
solusi. Jika ya, berhentilah. Jika tidak, kita<br />
lanjutkan ke langkah berikutnya.<br />
Pengantar Inteligensia Buatan – Heuristic Searching 3/8<br />
<br />
2.Dari solusi ini, terapkan sejumlah aturan yang<br />
dapat diterapkan untuk membuat sekumpulan<br />
solusi usulan yang baru.<br />
<br />
3.Untuk setiap elemen kumpulan solusi tersebut,<br />
lakukanlah hal-hal berikut ini :<br />
<br />
1.Kirimkanlah elemen ini ke fungsi uji. Jika<br />
elemen ini merupakan sebuah solusi,<br />
berhentilah.<br />
<br />
2.Jika tidak, periksalah apakah elemen ini<br />
merupakan yang terdekat dengan solusi yang<br />
telah diuji sejauh ini. Jika tidak, buanglah.<br />
<br />
3.Ambilah elemen terbaik yang ditemukan di atas<br />
dan pakailah sebagai solusi usulan berikutnya.<br />
Langkah ini bersesuaian dengan langkah dalam<br />
ruang problema dengan arah yang muncul<br />
sebagai yang tercepat dalam mencapai tujuan.<br />
<br />
4.Kembalilah ke langkah 2.<br />
<br />
Masalah-masalah yang mungkin timbul pada<br />
prosedur Hill Climbing :<br />
<br />
- Maksimum lokal adalah suatu keadaan yang<br />
lebih baik daripada semua tetangganya namun<br />
masih belum lebih baik dari suatu keadaan lain<br />
yang jauh letaknya darinya.<br />
<br />
- Daratan (Plateau) adalah suatu daerah datar dari<br />
ruang pencarian (search) dimana semua<br />
himpunan keadaan tetangganya memiliki nilai<br />
yang sama.<br />
<br />
- Punggung (Ridge) adalah suatu daerah ruang<br />
pencarian (search) yang lebih tinggi daripada<br />
daerah sekitarnya, namun tidak dapat dibalikkan<br />
oleh langkah–langkah tunggal ke arah manapun.<br />
<br />
Solusinya:<br />
<br />
- Melakukan langkah balik (backtracking) ke<br />
simpul yang lebih awal dan mencoba bergerak<br />
ke arah yang lain.<br />
<br />
- Melakukan lompatan besar ke suatu arah untuk<br />
mencoba bagian ruang pencarian yang baru.<br />
<br />
- Menerapkan dua atau lebih aturan sebelum<br />
melakukan uji coba. Ini bersesuaian dengan<br />
bergerak ke beberapa arah sekaligus.zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0tag:blogger.com,1999:blog-8381023387905510217.post-82204693505478404902011-10-21T10:20:00.000-07:002011-10-21T10:20:27.393-07:00PENCARIAN TERBAIK PERTAMA (Best-First Search)<span style="font-size: large;"><b>PENCARIAN TERBAIK PERTAMA (Best-First Search)</b></span><br />
<br />
Metode ini merupakan kombinasi dari metode depthfirst search dan breadth-first search. Pada metode best-first search, pencarian diperbolehkan mengunjungi node yang ada di level yang lebih rendah, jika ternyata node pada level yang lebih tinggi ternyata memiliki nilai heuristic yang lebih buruk.<br />
Fungsi Heuristik yang digunakan merupakan prakiraan (estimasi) cost dari initial state ke goal state, yang dinyatakan dengan :<br />
<br />
<div style="text-align: center;">f’(n) = g(n) + h’(n)</div><div style="text-align: center;"><br />
</div>dimana f’ = Fungsi evaluasi g = cost dari initial state ke current state<br />
h’ = prakiraan cost dari current state ke goal state<br />
<br />
Contoh :<br />
<br />
Misalkan kita memiliki ruang pencarian seperti pada gambar berikut. Node M merupakan keadaan awal dan node T merupakan tujuannya. Biaya edge yang menghubungkan node M dengannode A adalah biaya yang dikeluarkan untuk bergerak dari kota M ke kota A. Nilai g diperoleh berdasarkan biaya edge minimal. Sedangkan nilai h’ di node A merupakan hasil perkiraan terhadap biaya yang diperlukan dari node A untuk sampai ke tujuan. h’(n) bernilai ~ jika sudah jelas tidak ada hubungan antara node n dengan node tujuan (jalan buntu). Kita bisa merunut nilai untuk setiap node.zerotoherohttp://www.blogger.com/profile/00646536334672448938noreply@blogger.com0