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All Journal Journal of Computer Science and Informatics Engineering (J-Cosine)
Ida Nyoman Tegeh Adnyana
Universitas Mataram
Computer Science & IT

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Jaringan Syaraf Tiruan Model Backpropagation untuk Peramalan Suhu Minimum dan Maksimum, Kelembaban, Tekanan Udara, Jumlah Hari Hujan, dan Curah Hujan Bulanan di Kota Mataram Ida Nyoman Tegeh Adnyana; I Gede Pasek Suta Wijaya; Mohammad Ali Albar
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 2 (2019): December 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1133.333 KB) | DOI: 10.29303/jcosine.v3i2.259

Abstract

Climate conditions are very influential on various sectors of human life, such as agriculture. Extreme climate can affect the planting and harvest period which can eventually lead to crop failure. Climate forecasting can be done to help mapping the planting period so that agricultural productivity is optimal. Artificial neural network is a method that can be used to forecast climate in the future. In this research, a backpropagation model was used to forecast monthly data on minimum and maximum temperatures, humidity, air pressure, number of rainy days, and rainfall in Mataram city. The accuracy of forecasting result is measured based on MSE (mean square error). Based on the research conducted, the MSE of testing phase are minimum temperature 3.59 x 10-3, maximum temperature 1.97 x 10-4, humidity 2.11 x 10-3, air pressure 2.50 x 10-3, number of rainy days 7.97 x 10-4, and rainfall 1.00 x 10-3.
Co-Authors I Gede Pasek Suta Wijaya Moh Ali Albar