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