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All Journal Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Arieska Restu Harpian Dwika
Universitas Teknologi Yogyakarta
Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

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Implementasi Algoritma LSTM untuk Prediksi Harga Cabai Merah Keriting di Yogyakarta Arieska Restu Harpian Dwika; Donny Avianto
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 1 (2024): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i1.534

Abstract

Curly red chili is one of the horticultural crops with high economic value. Curly red chili can cause inflation because the price fluctuates greatly and tends to rise. The purpose of the research is to predict future prices quickly and accurately so that the government and consumers can take preventive action against existing problems. This research will use the LSTM algorithm and a dataset of curly red chili prices in Yogyakarta from October 9, 2017 to October 27, 2023. Based on the testing of this research, the best results obtained are by using a data division ratio of 70%: 30%, epoch 150, batch size 48, learning rate 0.001, number of neurons 30, activation function ReLU, and the optimization function Adam which produces a MAPE value of 3.6995%, and an accuracy of 96.3005%. It is hoped that this system can help related parties get accurate curly red chili price predictions.
Implementasi Algoritma LSTM untuk Prediksi Harga Cabai Merah Keriting di Yogyakarta Arieska Restu Harpian Dwika; Donny Avianto
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 1 (2024): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i1.534

Abstract

Curly red chili is one of the horticultural crops with high economic value. Curly red chili can cause inflation because the price fluctuates greatly and tends to rise. The purpose of the research is to predict future prices quickly and accurately so that the government and consumers can take preventive action against existing problems. This research will use the LSTM algorithm and a dataset of curly red chili prices in Yogyakarta from October 9, 2017 to October 27, 2023. Based on the testing of this research, the best results obtained are by using a data division ratio of 70%: 30%, epoch 150, batch size 48, learning rate 0.001, number of neurons 30, activation function ReLU, and the optimization function Adam which produces a MAPE value of 3.6995%, and an accuracy of 96.3005%. It is hoped that this system can help related parties get accurate curly red chili price predictions.
Co-Authors Donny Avianto