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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Manajemen Informatika dan Sistem Informasi Indonesian Journal of Business Intelligence (IJUBI) INSERT: Information System and Emerging Technology Journal
Dadang Heksaputra
Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Journal : JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI

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Prediksi Rerata Harga Beras Tingkat Grosir Indonesia dengan Long Short Term Memory fadil indra sanjaya; Dadang Heksaputra
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 2 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v7i2.388

Abstract

Fluctuations in prices of food staples, especially rice price which is uncontrolled, have an impact on losses for producers and consumers. To be able to bridge these problems requires the right decision making. Prediction is one element that can be used in supporting the right decision making. Predictions in decision making are based on existing data in the present and the past so that they can be used to describe conditions that are in line with the objectives to be achieved. With accurate rice price predictions, it is expected that decision makers will be able to decide on good policies or take preventive actions to minimize losses. In this study examines the prediction of rice prices at the Indonesian wholesale level using the Recurrent Neural Network Long Short Term Memory (RNN LSTM) approach. In this study, the data used is the average rice price at the Indonesian Wholesale / Wholesale Trade Year 2010-2020 obtained from the Indonesian statistical center. The results obtained from this study indicated that LSTM method can be used to predict the price of rice at the Indonesian wholesale level quite well.
Co-Authors Avrillaila Akbar Harahap Fadil Indra Sanjaya fatma Siti Fatimah M.J.U Haris Bahrudin Tahsinul Amir Wahyudi, Adzan Fajar Sukmono Yanuar Wicaksono