Application of Artificial Neural Networks in Predicting Salt Imports by Country of Origin Using the Back-propagation Method

Penulis

  • Sari Marito Tondang STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Heru Satria Tambunan STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Susiani Susiani STIKOM Tunas Bangsa, Pematangsiantar, Indonesia

DOI:

https://doi.org/10.55123/jomlai.v1i3.919

Kata Kunci:

Prediction, Import, Salt, Back-propagation, Country of Origin

Abstrak

Salt is a basic consumption material needed by the community and various industries. Indonesia is a country that has many beaches that have great potential as a source of salt production. But Indonesia is still dependent on imports so that industrial imports continue to increase, can directly or indirectly affect the risk of the country’s economic pattern. An increase in salt imports although there was also a decrease but only slightly and did not last long from several countries from 2010-2020 recorded in the Central Statistics Agency (BPS). In this study, the author will predict the import of salt for the next 3 years using the Back-propagation algorithm. Back-propagation is one of the artificial neural network methods that is quite reliable in solving problems where the network tries to achieve stability again to achieve the expected output and there is a learning process by adjusting connection weights. This study uses 6 architectural models : 5-80-1, 5-90-1, 5-100-1, 5-110-1, from the four models the best architectural model is obtained namely 5-90-1 with an accuracy value of 75%, epoch 4265 iterations, and MSE Testing 0,01569.

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Unduhan

Diterbitkan

2022-10-18

Cara Mengutip

Tondang, S. M., Tambunan, H. S., & Susiani, S. (2022). Application of Artificial Neural Networks in Predicting Salt Imports by Country of Origin Using the Back-propagation Method. JOMLAI: Journal of Machine Learning and Artificial Intelligence, 1(3), 245–250. https://doi.org/10.55123/jomlai.v1i3.919

Terbitan

Vol 1 No 3 (2022): September

Bagian

Articles

Lisensi

Hak Cipta (c) 2022 Sari Marito Tondang, Heru Satria Tambunan, Susiani Susiani

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