JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer)
Vol 3, No 1 (2021): JUNI 2021

Prediksi Curah Hujan Wilayah Provinsi Yogyakarta dengan Algoritma Neural Network

rubangi rubangi (Universitas Teknologi Yogyakarta)
Arief Hermawan (Universitas Teknologi Yogyakarta)
Donny Avianto (Universitas Teknologi Yogyakarta)

Article Info

Publish Date
14 Jun 2021

Abstract

Emerging inaccurate information about the rainfall system can affect aspects of life. Inaccurate precipitation forecasting can be problematic, so it is necessary to predict precipitation with a high level of accuracy. Therefore, this study proposes a method with a neural network algorithm to predict rainfall to benefit the community. The data used in this study is daily precipitation from 2016 to 2021 from BMKG. Based on the test results, the data shows that the best neural network (NN) model is obtained from input layer 31, hidden layer 4, training cycle 1500, learning rate 0.01, and momentum 0.9, resulting in an error of 0.828. Based on the results with the smallest error, using the neural network method can be used to predict future precipitation with good accuracy.

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Journal Info
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer)
Website

Abbrev

jasiek

Publisher

Universitas Merdeka Malang

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mathematics

Description

Sistem Tenaga Generator, Distribusi Daya, Konversi Daya Listrik, Sistem Perlindungan dan Teknologi Bahan elektrik Sinyal, Sistem, dan Elektronik Pemrosesan Sinyal Digital, Pemrosesan Gambar, Sistem Robot, Sistem Kontrol dan Sistem Embeded Sistem komunikasi Telekomunikasi, Komunikasi Nirkabel dan ...