{"id":449,"date":"2016-09-11T11:19:07","date_gmt":"2016-09-11T04:19:07","guid":{"rendered":"http:\/\/if.itats.ac.id\/?p=449"},"modified":"2016-09-11T11:19:07","modified_gmt":"2016-09-11T04:19:07","slug":"silabus-kecerdasan-komputasional","status":"publish","type":"post","link":"https:\/\/itats.ac.id\/teknikinformatika\/silabus-kecerdasan-komputasional\/","title":{"rendered":"Silabus Kecerdasan Komputasional"},"content":{"rendered":"

SILABUS MATA KULIAH<\/strong><\/p>\n

Program Studi \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0\u00a0\u00a0 Teknik Informatika<\/p>\n

Kode \/ Nama Mata Kuliah\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0\u00a0\u00a0 16065403 \/ Kecerdasan Komputasional<\/p>\n

Jumlah SKS \/ Semseter\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0\u00a0\u00a0 3 SKS \/ V<\/p>\n

Mata Kuliah Pra Syarat\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0\u00a0\u00a0 Kecerdasan Buatan<\/p>\n

Capaian Pembelajaran Lulusan\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :<\/p>\n

    \n
  1. Menguasai teori\u00a0\u00a0 \u00a0dan\u00a0\u00a0 \u00a0penerapan\u00a0\u00a0 \u00a0bidang\u00a0\u00a0 \u00a0keahlian\u00a0\u00a0 \u00a0komputasi\u00a0\u00a0 \u00a0cerdas\u00a0\u00a0 \u00a0dan\u00a0\u00a0 \u00a0visualisasi<\/li>\n
  2. Mampu \u00a0\u00a0\u00a0\u00a0 \u00a0menyelesaikan \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0masalah \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0teknologi \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0informasi \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0dan \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0komunikasi \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0dengan \u00a0keahlian \u00a0 \u00a0\u00a0komputasi\u00a0\u00a0 \u00a0cerdas\u00a0\u00a0 \u00a0dan\u00a0\u00a0 \u00a0visualisasi<\/li>\n<\/ol>\n

    Capaian Pemebelajaran Mata Kuliah\u00a0 :<\/p>\n

      \n
    1. Mahasiswa \u00a0mampu \u00a0 \u00a0menjelaskan \u00a0 \u00a0klasifier \u00a0 \u00a0dengan \u00a0 \u00a0fungsi \u00a0 \u00a0diskriminan \u00a0 \u00a0linier \u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0 \u00a0maupun non-\u00ad\u2010linier,\u00a0\u00a0 \u00a0Perceptron,\u00a0\u00a0 \u00a0Support\u00a0\u00a0 \u00a0Vector\u00a0\u00a0 \u00a0Machine\u00a0\u00a0 \u00a0(SVM).<\/li>\n
    2. Mahasiswa \u00a0\u00a0\u00a0\u00a0 \u00a0mampu \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0menjelaskan \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0Fuzzy \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0Logic \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0dan \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0penggunaannya \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0dalam \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0sistem \u00a0berbasis \u00a0aturan,\u00a0\u00a0 \u00a0contoh\u00a0\u00a0 \u00a0sistem\u00a0\u00a0 \u00a0kontroler.<\/li>\n
    3. Mahasiswa mampu \u00a0 menjelaskan \u00a0\u00a0\u00a0 \u00a0\u00a0 Decision \u00a0 Tree \u00a0 dan \u00a0 pembentukan \u00a0 strukturnya \u00a0 yang \u00a0optimal \u00a0serta\u00a0\u00a0 \u00a0terjadinya\u00a0\u00a0 \u00a0overfitting.<\/li>\n
    4. Mahasiswa \u00a0\u00a0 \u00a0mampu \u00a0\u00a0\u00a0 \u00a0menerapkan \u00a0\u00a0\u00a0 \u00a0metode \u00a0\u00a0\u00a0 \u00a0yang \u00a0\u00a0\u00a0 \u00a0sudah \u00a0\u00a0\u00a0 \u00a0dibahas \u00a0\u00a0\u00a0 \u00a0seperti \u00a0\u00a0\u00a0 \u00a0SVM, \u00a0\u00a0\u00a0 \u00a0Fuzzy\u00a0\u00a0 \u00a0Logic,\u00a0\u00a0 \u00a0dan\u00a0\u00a0 \u00a0Decision\u00a0\u00a0 \u00a0Tree,\u00a0\u00a0 \u00a0dalam\u00a0\u00a0 \u00a0suatu\u00a0\u00a0 \u00a0aplikasi.<\/li>\n
    5. Mahasiswa mampu\u00a0\u00a0 \u00a0menjelaskan\u00a0\u00a0 \u00a0berbagai\u00a0\u00a0 \u00a0metode\u00a0\u00a0 \u00a0clustering\u00a0\u00a0 \u00a0dan\u00a0\u00a0 \u00a0penggunaannya.\u00a0\u00a0 \u00a0Backpropagation, \u00a0non-\u00ad\u2010linearly\u00a0\u00a0 \u00a0separable\u00a0\u00a0 \u00a0problems,\u00a0\u00a0 \u00a0neuro-\u00ad\u2010fuzzy,\u00a0\u00a0 \u00a0dan\u00a0\u00a0 \u00a0SOM.<\/li>\n
    6. Mahasiswa mampu \u00a0 menerapkan \u00a0 metode \u00a0 clustering \u00a0 dan \u00a0 jaringan \u00a0 saraf \u00a0 tiruan \u00a0 dalam \u00a0suatu \u00a0aplikasi.<\/li>\n
    7. Mahasiswa \u00a0 \u00a0mampu \u00a0\u00a0 \u00a0menjelaskan \u00a0\u00a0 \u00a0metode \u00a0\u00a0 \u00a0optimasi \u00a0\u00a0 \u00a0dengan \u00a0\u00a0 \u00a0evolutionary \u00a0\u00a0 \u00a0algorithm : Genetic Algorithm (GA), Ant Colony(ACO), Particle Swarm Optimization (PSO)<\/li>\n<\/ol>\n\n\n\n\n\n\n\n\n\n\n
      POKOK BAHASAN<\/strong><\/td>\nALAT\/BAHAN\/SUMBER BELAJAR<\/strong><\/td>\n<\/tr>\n<\/thead>\n
      KLASIFIER \u00a0\u00a0\u00a0 \u00a0LINIER: \u00a0\u00a0\u00a0 \u00a0Fungsi diskriminan \u00a0\u00a0\u00a0 \u00a0linier, \u00a0\u00a0\u00a0 \u00a0multi \u00a0 \u00a0 kategori, \u00a0\u00a0\u00a0 \u00a0algoritma \u00a0 \u00a0 Perceptron,\u00a0\u00a0 \u00a0Support\u00a0\u00a0 \u00a0Vector \u00a0 Machine\u00a0\u00a0 \u00a0(SVM),\u00a0\u00a0 \u00a0fungsi \u00a0 diskriminan\u00a0\u00a0 \u00a0non-\u00ad\u2010linier.<\/td>\nLCD Projector<\/em> \/ – \/ Amit \u00a0Konar,\u00a0\u00a0 \u00a0Computational\u00a0\u00a0 \u00a0Intelligence,\u00a0\u00a0 \u00a0Springer,\u00a0\u00a0 \u00a02005.\u00a0\u00a0 \u00a0; C. \u00a0H.\u00a0\u00a0 \u00a0Bishop,\u00a0\u00a0 \u00a0Pattern\u00a0\u00a0 \u00a0Recognition\u00a0\u00a0 \u00a0and\u00a0\u00a0 \u00a0Machine\u00a0\u00a0 \u00a0Learning,\u00a0\u00a0 \u00a0Springer\u00a0\u00a0 \u00a0Science,\u00a0\u00a0 \u00a02006\u00a0\u00a0<\/strong><\/td>\n<\/tr>\n
      FUZZY \u00a0\u00a0 LOGIC \u00a0 (MULTI-\u00ad\u2010VALUED\u00a0\u00a0 \u00a0 LOGIC): \u00a0 definisi, \u00a0 linguistic \u00a0 variables, \u00a0 crisp \u00a0 vs \u00a0 fuzzy \u00a0 set,\u00a0\u00a0 \u00a0membership\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 function, \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 fuzzification, \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 inference \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 mechanism, \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 defuzzification, \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 rules,\u00a0\u00a0 \u00a0fungsi\u00a0\u00a0 \u00a0Mamdani.<\/td>\nLCD Projector<\/em> \/ – \/ C. \u00a0H.\u00a0\u00a0 \u00a0Bishop,\u00a0\u00a0 \u00a0Pattern\u00a0\u00a0 \u00a0Recognition\u00a0\u00a0 \u00a0and\u00a0\u00a0 \u00a0Machine\u00a0\u00a0 \u00a0Learning,\u00a0\u00a0 \u00a0Springer\u00a0\u00a0 \u00a0Science,\u00a0\u00a0 \u00a02006\u00a0\u00a0 \u00a0<\/strong>; <\/strong>R.O. \u00a0Duda,\u00a0\u00a0 \u00a0P.E.Hart,\u00a0\u00a0 \u00a0D.G.Stork,\u00a0\u00a0 \u00a0Pattern\u00a0\u00a0 \u00a0Classfication,\u00a0\u00a0 \u00a0John\u00a0\u00a0 \u00a0Wiley\u00a0\u00a0 \u00a0&\u00a0\u00a0 \u00a0Sons,\u00a0\u00a0 \u00a0Inc.,\u00a0\u00a0 \u00a02001<\/td>\n<\/tr>\n
      DECISION\u00a0\u00a0 \u00a0 TREE: \u00a0\u00a0 \u00a0contoh \u00a0 \u00a0pengamatan, \u00a0\u00a0 \u00a0multivariate \u00a0 \u00a0tree, \u00a0\u00a0 \u00a0entropy, \u00a0\u00a0 \u00a0information \u00a0 \u00a0gain, \u00a0 overfitting<\/td>\nLCD Projector<\/em> \/ – \/ Sergios \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0Theodoridis, \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0Konstantinos \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0Koutroumbas, \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0Pattern \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0Recognition, \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a04th \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0ed.,\u00a0\u00a0 \u00a0Elsevier\u00a0\u00a0 \u00a0Inc.,\u00a0\u00a0 \u00a02009.<\/td>\n<\/tr>\n
      CLUSTERING: \u00a0\u00a0\u00a0\u00a0 \u00a0persyaratan \u00a0 \u00a0 clustering, \u00a0\u00a0\u00a0\u00a0 \u00a0outliers, \u00a0\u00a0\u00a0\u00a0 \u00a0tipe \u00a0 \u00a0 data, \u00a0similaritas, \u00a0disimilaritas, \u00a0 variabel\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0dengan \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0tipe \u00a0 berbeda, K-\u00ad\u2010Means Clustering, \u00a0 \u00a0 \u00a0 Fuzzy \u00a0C-\u00ad\u2010Means \u00a0Clustering, \u00a0 Hierarchical\u00a0\u00a0 \u00a0 Clustering: \u00a0 Agglomerative \u00a0 dan \u00a0 Divisive \u00a0 Clustering, \u00a0 Nearest \u00a0 Neighbor, \u00a0 K-\u00ad\u2010 Nearest \u00a0Neighbor,<\/td>\nLCD Projector<\/em> \/ – \/ R.O. \u00a0Duda,\u00a0\u00a0 \u00a0P.E.Hart,\u00a0\u00a0 \u00a0D.G.Stork,\u00a0\u00a0 \u00a0Pattern\u00a0\u00a0 \u00a0Classfication,\u00a0\u00a0 \u00a0John\u00a0\u00a0 \u00a0Wiley\u00a0\u00a0 \u00a0&\u00a0\u00a0 \u00a0Sons,\u00a0\u00a0 \u00a0Inc.,\u00a0\u00a0 \u00a02001<\/td>\n<\/tr>\n
      JARINGAN \u00a0SARAF\u00a0\u00a0 \u00a0TIRUAN: \u00a0 neuron,\u00a0\u00a0 \u00a0perceptron, \u00a0 supervised\u00a0\u00a0 \u00a0learning, \u00a0 multilayer\u00a0\u00a0 \u00a0neural\u00a0\u00a0 \u00a0network, \u00a0 algoritma \u00a0Backpropagation, \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0non-\u00ad\u2010linearly \u00a0 \u00a0separable \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0problems, \u00a0SOM:\u00a0\u00a0 \u00a0Kohonen<\/td>\nLCD Projector<\/em> \/ – \/ Christian\u00a0\u00a0 \u00a0 Blum, \u00a0\u00a0\u00a0 Daniel \u00a0\u00a0\u00a0 Merkle, \u00a0\u00a0\u00a0 Swarm \u00a0\u00a0\u00a0 Intelligence \u00a0\u00a0\u00a0 : \u00a0\u00a0\u00a0 Introduction\u00a0\u00a0 \u00a0 and\u00a0\u00a0 \u00a0 Applications,\u00a0\u00a0 \u00a0Springer-\u00ad\u2010Verlag\u00a0\u00a0 \u00a02008.\u00a0\u00a0 ; C. \u00a0H.\u00a0\u00a0 \u00a0Bishop,\u00a0\u00a0 \u00a0Pattern\u00a0\u00a0 \u00a0Recognition\u00a0\u00a0 \u00a0and\u00a0\u00a0 \u00a0Machine\u00a0\u00a0 \u00a0Learning,\u00a0\u00a0 \u00a0Springer\u00a0\u00a0 \u00a0Science,\u00a0\u00a0 \u00a02006\u00a0\u00a0 \u00a0<\/strong><\/td>\n<\/tr>\n
      EVOLUTIONARY\u00a0\u00a0 \u00a0 ALGORITHM: Genetic \u00a0 Algorithm \u00a0 (GA): \u00a0 definisi \u00a0 kromosom, \u00a0 mutation, \u00a0 crossover, \u00a0 \u00a0 fitness, \u00a0 \u00a0selection, \u00a0 Ant \u00a0Colony Optimization (ACO), \u00a0 Particle \u00a0Swarm\u00a0\u00a0 \u00a0Optimization\u00a0\u00a0 \u00a0(PSO).<\/td>\nLCD Projector<\/em> \/ – \/ Christian\u00a0\u00a0 \u00a0 Blum, \u00a0\u00a0\u00a0 Daniel \u00a0\u00a0\u00a0 Merkle, \u00a0\u00a0\u00a0 Swarm \u00a0\u00a0\u00a0 Intelligence \u00a0\u00a0\u00a0 : \u00a0\u00a0\u00a0 Introduction\u00a0\u00a0 \u00a0 and\u00a0\u00a0 \u00a0 Applications,\u00a0\u00a0 \u00a0Springer-\u00ad\u2010Verlag\u00a0\u00a0 \u00a02008.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Download Silabus<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

      SILABUS MATA KULIAH Program Studi \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0\u00a0\u00a0 Teknik Informatika Kode \/ Nama Mata Kuliah\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0\u00a0\u00a0 16065403 \/ Kecerdasan Komputasional Jumlah SKS \/ Semseter\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0\u00a0\u00a0 3 SKS \/ V Mata Kuliah Pra Syarat\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0\u00a0\u00a0 Kecerdasan Buatan Capaian Pembelajaran Lulusan\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 : Menguasai teori\u00a0\u00a0 \u00a0dan\u00a0\u00a0 \u00a0penerapan\u00a0\u00a0 \u00a0bidang\u00a0\u00a0 \u00a0keahlian\u00a0\u00a0 \u00a0komputasi\u00a0\u00a0 \u00a0cerdas\u00a0\u00a0 \u00a0dan\u00a0\u00a0 \u00a0visualisasi Mampu \u00a0\u00a0\u00a0\u00a0 \u00a0menyelesaikan \u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0masalah \u00a0\u00a0\u00a0\u00a0\u00a0…<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"categories":[44],"tags":[55,56,57],"class_list":["post-449","post","type-post","status-publish","format-standard","hentry","category-silabus","tag-jaringan-syaraf-tiruan","tag-kecerdasan","tag-komputasional"],"_links":{"self":[{"href":"https:\/\/itats.ac.id\/teknikinformatika\/wp-json\/wp\/v2\/posts\/449","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itats.ac.id\/teknikinformatika\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itats.ac.id\/teknikinformatika\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itats.ac.id\/teknikinformatika\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/itats.ac.id\/teknikinformatika\/wp-json\/wp\/v2\/comments?post=449"}],"version-history":[{"count":0,"href":"https:\/\/itats.ac.id\/teknikinformatika\/wp-json\/wp\/v2\/posts\/449\/revisions"}],"wp:attachment":[{"href":"https:\/\/itats.ac.id\/teknikinformatika\/wp-json\/wp\/v2\/media?parent=449"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itats.ac.id\/teknikinformatika\/wp-json\/wp\/v2\/categories?post=449"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itats.ac.id\/teknikinformatika\/wp-json\/wp\/v2\/tags?post=449"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}