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All Journal Journal of Informatics Management and Information Technology
Rapianto Sinaga
STIKOM Tunas Bangsa, Pematangsiantar
Computer Science & IT

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Akurasi Algoritma Fletcher-Reeves untuk Prediksi Ekspor Karet Remah Berdasarkan Negara Tujuan Utama Rapianto Sinaga; Mora Malemta Sitomorang; Deri Setiawan; Anjar Wanto; Agus Perdana Windarto
Journal of Informatics Management and Information Technology Vol. 2 No. 3 (2022): July 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v2i3.170

Abstract

Crumb rubber is a natural rubber specially designed to ensure its technical quality. Rubber is produced mainly in Southeast Asia, where Indonesia is the second largest producer in the world after Thailand. This study aims to predict the export of powdered rubber in Indonesia. The prediction method used is FletcherReeves which is one of the artificial neural network methods commonly used to predict data. The research data used is crumb rubber export data by main destination country for the period 2012-2020 which was obtained from the website of the Indonesian Central Statistics Agency. Based on this data, network architecture models will be trained and defined, including 7-10-1, 7-15-1, 7-20-1, 7-25-1, 7-30-1 (trancgf). Of the five models, after training and testing, the best data architecture model is 7-15-1 (trancegf) 7 is the input layer, 15 is the number of neurons in the hidden layer and 1 is the exit layer. The level of accuracy of the architectural model with the MSE value is 0.00482054.
Co-Authors Agus Perdana Windarto Deri Setiawan Mora Malemta Sitomorang Wanto, Anjar