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All Journal JOMLAI: Journal of Machine Learning and Artificial Intelligence
Josua Fernando Simanjuntak
STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
Computer Science & IT Engineering

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Forecasting of Rubber Production in North Sumatra with Backpropagation Algorithm Josua Fernando Simanjuntak; Riki Winanjaya; Wendi Robiansyah
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 3 (2022): September
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (693.975 KB) | DOI: 10.55123/jomlai.v1i3.917

Abstract

Rubber is a commodity to produce tires, balloons, and other rubber-based products. Indonesia is the second largest rubber producer and distributor in the world. But, rubber production level tends to fluctuate. Therefore, an analysis is needed to predict rubber production in the future thus rubber plantations, especially folk-owned, can take steps to prevent if declines in production are found. One way that can be done to predict is by utilizing Artificial Neural Network with Backpropagation method, since it provides accurate results. In this research, 10 network architecture models were tested and the best architecture achieved was 10-10-11-1 with accuracy of 96%. With that architecture, predictions are done and resulted in estimated rubber production in North Sumatra for 2021-2025.
Co-Authors Wendi Robiansyah Winanjaya, Riki