View Item 
      •   UMY Repository
      • 03. DISSERTATIONS AND THESIS
      • Students
      • Undergraduate Thesis
      • Faculty of Engineering
      • Department of Electrical Engineering
      • View Item
      •   UMY Repository
      • 03. DISSERTATIONS AND THESIS
      • Students
      • Undergraduate Thesis
      • Faculty of Engineering
      • Department of Electrical Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      ANALISIS PRAKIRAAN KEBUTUHAN BEBAN LISTRIK TAHUN 2018 – 2023 PADA PT PLN INDONESIA RAYON WAMENA KABUPATEN JAYAWIJAYA DENGAN METODE JARINGAN SYARAF TIRUAN

      Thumbnail
      View/Open
      COVER (115.7Kb)
      HALAMAN JUDUL (733.9Kb)
      HALAMAN PENGESAHAN (283.2Kb)
      ABSTRAK (326.8Kb)
      BAB I (135.1Kb)
      BAB II (612.3Kb)
      BAB III (127.6Kb)
      BAB IV (782.7Kb)
      BAB V (110.4Kb)
      DAFTAR PUSTAKA (121.3Kb)
      LAMPIRAN (620.4Kb)
      NASKAH PUBLIKASI (1.129Mb)
      Date
      2019-05-22
      Author
      TRIKORA, ELANG BAYU
      Metadata
      Show full item record
      Abstract
      Jayawijaya Regency is one of the Main Districts in the Central Mountains Region and is a fast developing region compared to other regions in the Central Highlands of Papua. The forecast of electricity load requirements in Jayawijaya Regency served by the Wamena Rayon National Electricity Company in the next 4 (four) years can be predicted using the Artificial Neural Network (ANN) method. Artificial Neural Network is an artificial intelligence system with the ability to learn and gather knowledge of learning outcomes in its cell network (neurons) so as to enable the network as a whole to be more intelligent in responding to input / input provided. The ability to learn and accumulate this knowledge allows artificial neural network systems to be able to adapt to the environment that provides input to it. Like the human brain in responding to different environmental conditions, the role of ANN in the field of research and development is very important in the future that demands aspects of automation and interactive aspects between tools and humans (Muis, 2017). Predictions made for the next 5 years from 2018 - 2023 indicate a trend of increasing peak loads each year. In 2023, the predicted peak load generated was 12,992.2519 kW
      URI
      http://repository.umy.ac.id/handle/123456789/29036
      Collections
      • Department of Electrical Engineering

      DSpace software copyright © 2002-2015  DuraSpace
      Contact Us | Send Feedback
      Theme by 
      @mire NV
       

       

      Browse

      All of UMY RepositoryCollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

      My Account

      Login

      DSpace software copyright © 2002-2015  DuraSpace
      Contact Us | Send Feedback
      Theme by 
      @mire NV