JOMLAI: Journal of Machine Learning and Artificial Intelligence
Vol. 1 No. 3 (2022): September

Forecasting of Rubber Production in North Sumatra with Backpropagation Algorithm

Josua Fernando Simanjuntak (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Riki Winanjaya (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Wendi Robiansyah (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)



Article Info

Publish Date
18 Oct 2022

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.

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Journal Info

Abbrev

jomlai

Publisher

Subject

Computer Science & IT Engineering

Description

Focus and Scope JOMLAI: Journal of Machine Learning and Artificial Intelligence is a scientific journal related to machine learning and artificial intelligence that contains scientific writings on pure research and applied research in the field of machine learning and artificial intelligence as well ...