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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Nurhidayana Nurhidayana
STIKOM Tunas Bangsa, Pematangsiantar
Computer Science & IT Decision Sciences, Operations Research & Management

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Jaringan Saraf Tiruan Backpropagation Untuk Memprediksi Jumlah Ekspor Buah-Buahan Menurut Negara Tujuan Nurhidayana Nurhidayana; Irfan Sudahri Damanik; Rafiqa Dewi
Journal of Information System Research (JOSH) Vol 2 No 2 (2021): Januari 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

This research aims to predict the number of exports of fruits by country of destination in the coming year based on data in the previous year. The application of a prediction is very important in conducting research. The method used in conducting this prediction is the artificial neural network (JST) with its Backpropagation algorithm. The architecture used in this study is 4-2-1, 4-4-1, 4-6-1, 4-8-1, 4-4-2-1, and 4-3-6-1. Test results obtained prediction of export of fruits according to destination country with 91% accuracy rate with 4-4-1 architecture
Co-Authors Dewi, Rafiqa Irfan Sudahri Damanik