Jurnal Teknologi Informasi dan Terapan (J-TIT)
Vol 10 No 1 (2023)

Implementasi Metode Backpropagation Neural Network Dalam Memprediksi Hasil Produksi Kedelai

Barorotus Sulusayil Laili (Politeknik Negeri Jember)
Denny Trias Utomo (Politeknik Negeri Jember, Jember, Indonesia)
Denny Wijanarko (Politeknik Negeri Jember, Jember, Indonesia)

Article Info

Publish Date
26 Jun 2023

Abstract

The necessary of soybean in Indonesia tends to increase annually. However, soybean production tends to decrease so that soybean needs does not fullfilled. One of the environmental factors that influence soybean production is climate such as temperature, humidity, sunlight, rainfall, and wind velocity. This study aims to predict soybean production results based on the influence of climate by using an Artificial Neural Network (ANN) method. The algorithm used is Backpropagation with climate and soybean production results in the previous period parameters as input in the prediction process. The results of this study get a training accuracy of 96.6% and testing accuracy of 96.5%.

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Journal Info
Jurnal Teknologi Informasi dan Terapan (J-TIT)
Website

Abbrev

jtit

Publisher

Politeknik Negeri Jember

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Jurnal Teknologi Informasi dan Terapan (J-TIT) | ISSN:2354-838X (cetak) | ISSN:2580-2291 (online) adalah media publikasi ilmiah di bidang Teknologi Informasi Terapan yang terbit secara periodik dua kali dalam setahun setiap bulan Januari dan Juli. J-TIT dipublikasikan melalui media cetak maupun ...