{"id":225,"date":"2018-03-22T14:25:16","date_gmt":"2018-03-22T07:25:16","guid":{"rendered":"http:\/\/beta.its.ac.id\/departemen\/?page_id=225"},"modified":"2023-09-05T20:47:46","modified_gmt":"2023-09-05T13:47:46","slug":"lab-rekayasa-data-dan-intelegensi-bisnis","status":"publish","type":"page","link":"https:\/\/www.its.ac.id\/si\/fasilitas\/laboratorium-2\/lab-rekayasa-data-dan-intelegensi-bisnis\/","title":{"rendered":"Lab. Rekayasa Data dan Intelegensi Bisnis"},"content":{"rendered":"

[vc_row][vc_column width=”1\/4″][vc_empty_space][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” title=”Menu”][\/dot_custom_title][dot_sidebar_menu select_menu=”laboratorium”][vc_empty_space][join_help_box type=”help”][\/vc_column][vc_column width=”3\/4″][vc_empty_space][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” title=”Tentang Lab. Rekayasa Data dan Intelegensi Bisnis”][\/dot_custom_title][vc_column_text]VISI<\/strong><\/p>\n

Menjadi salah satu laboratorium riset dalam bidang rekayasa data dan inteligensi bisnis dengan produktivitas dan kualitas terbaik di ITS dan diakui di Indonesia pada tahun 2025.<\/p>\n

MISI<\/strong><\/p>\n

1. Memperkuat keaktifan dalam penelitian dan pengaruhnya bagi perkembangan ilmu pengetahuan.
\n2. Memberikan pelayanan kepada masyarakat dalam pemanfaatan sistem informasi.
\n3. Meningkatkan daya saing di lingkup internasional.<\/p>\n

Laboratorium Rekayasa Data dan Inteligensi Bisnis atau dikenal dengan Lab. RDIB berdiri pada semester gasal 2015\/2016. Bermula dari Lab. Sistem Pendukung Keputusan, Lab. RDIB menaungi beberapa mata kuliah pilihan bagi mahasiswa semester akhir sebagai berikut :
\n1. Penggalian Data dan Analitika Bisnis.
\n2. Riset Operasi Lanjut.
\n3. Teknik Peramalan.
\n4. Sistem Pendukung Keputusan.<\/p>\n

Selain mata kuliah pilihan, ada juga mata kuliah wajib yang berada di bawah tanggungjawab Lab. RDIB ini, yaitu:
\n1. Statistika
\n2. Riset operasi
\n3. Matematika diskrit
\n4. Sistem cerdas
\n5. Kecerdasan bisnis
\n6. Pemrograman basis data<\/p>\n

Lab RDIB memiliki tujuan untuk menjadi pusat penelitian terkait pemanfaatan data yang mendukung analisis bisnis dan organisasi untuk bisa ditransformasi menjadi informasi bermakna serta pengetahuan sehingga berguna dalam pengambilan keputusan. Bidang-bidang keilmuan yang dicakup meliputi :
\n\u2022 Computerized Decision Support : Decision Support System, System Modelling and Analysis.
\n\u2022 Data Management: Database and Database Management System (DBMS); Extraction, Transformation, and Load (ETL) System; Data Warehouse (DW), real-time DW, and Data Mart.
\n\u2022 Business Analytic: Optimizations; Data\/Web\/Text Mining; Web Analytic; Peramalan
\n\u2022 Knowledge Management: Knowledge Management System, Expert Locating System, Ontology.
\n\u2022 Intelligent Systems: Expert System, Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Intelligent Agent, Automated Decision System.[\/vc_column_text][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” title=”Topik Penelitian”][\/dot_custom_title][vc_column_text]Isu strategis yang menjadi basis dan fokus penelitian lab. RDIB Departemen Sistem Informasi (DSI), Fakultas Teknologi Elektro dan Informatika Cerdas (FT-EIC), ITS tahun 2016-2020 adalah pemanfaatan teknologi informasi dan komunikasi untuk pengembangan daerah menuju kemajuan dan kemandirian nasional yang bermartabat dan berbudaya. Hal ini dikarenakan daerah (terutama pedesaan) sebagai basis dari bangsa ini, dimana sebagian besar masyarakat Indonesia tinggal. Jika desa maju maka negara pun akan maju. Aspek-aspek yang dikembangkan meliputi ekonomi pedesaan (khususnya koperasi dan UKM), ketahanan pangan, pendidikan, kesehatan masyarakat, dan aspek budaya dan kearifan lokal yang tidak bisa terpisahkan. Penjabaran isu strategis ke dalam konsep pemikiran, pemecahan masalah untuk timeline 2016-2020 antara lain tidak terbatas pada topik riset:<\/p>\n

    \n
  1. Pemanfaatan Teknologi Informasi untuk Pengembangan Pedesaan<\/li>\n
  2. Pengembangan keterkaitan pedesaan dengan organisasi \/ lingkungan sekitar<\/li>\n
  3. Pengembangan kualitas kesehatan pedesaan<\/li>\n
  4. Pendidikan masyarakat pedesaan.<\/li>\n
  5. Konservasi Hasanah budaya dan kearifan lokal (Local Wisdom and Heritage Conservation) Indonesia.<\/li>\n<\/ol>\n

    [\/vc_column_text][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” title=”Kepala Laboratorium”][\/dot_custom_title][vc_column_text]Retno Aulia Vinarti, S.Kom, M.Kom., Ph.D.<\/a>[\/vc_column_text][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” title=”Anggota Laboratorium”][\/dot_custom_title][vc_column_text]<\/p>\n

      \n
    1. Prof. Dr. Ir. Arif Djunaidy, M. Sc.<\/a><\/li>\n
    2. Edwin Riksakomara, S. Kom., M. T.\u00a0<\/a><\/li>\n
    3. Ahmad Mukhlason, S.Kom., M.Sc., Ph.D.<\/a><\/li>\n
    4. Raras Tyasnurita, S.Kom., MBA., Ph.D.<\/a><\/li>\n
    5. Faizal Mahananto, S.Kom, M.Eng., Ph.D.<\/a><\/li>\n
    6. Amalia Utamima, S. Kom., MBA<\/a>.<\/li>\n
    7. Wiwik Anggraeni, S. Si., M.Kom.\u00a0<\/a><\/li>\n<\/ol>\n

      [\/vc_column_text][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” title=”Foto Laboratorium”][\/dot_custom_title][dot_gallery cat=”2465″][\/dot_gallery][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

      [vc_row][vc_column width=”1\/4″][vc_empty_space][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” title=”Menu”][\/dot_custom_title][dot_sidebar_menu select_menu=”laboratorium”][vc_empty_space][join_help_box type=”help”][\/vc_column][vc_column width=”3\/4″][vc_empty_space][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” title=”Tentang Lab. Rekayasa Data dan Intelegensi Bisnis”][\/dot_custom_title][vc_column_text]VISI Menjadi salah satu laboratorium riset dalam bidang rekayasa data dan inteligensi bisnis dengan produktivitas dan kualitas terbaik di ITS dan diakui di Indonesia pada tahun 2025. MISI 1. Memperkuat keaktifan dalam penelitian dan pengaruhnya bagi perkembangan ilmu pengetahuan. 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