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Caesar Calendo Sumarga
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Computer Science & IT Mathematics Other

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Journal : JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)

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Rancangan Sistem Prediksi Harga Saham dengan Menggunakan Metode LSTM dan ARMA klasik Caesar Calendo Sumarga; Dyah Erny Herwindiati; Janson Hendryli
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i1.24075

Abstract

Stocks are one of the types of assets that are currently popular with the wider community, just like gold and all other types of assets, the value of stocks tends to move up and down over time, therefore stock investors invest in stocks to achieve the desired profit (capital gain), Due to the movement of stocks that go up and down over time, it is difficult for investors to determine when to buy or sell stocks, therefore this study was conducted to compare the multivariate Long-Short Term Memory (LSTM) method, and the classic ARMA, then see which is suitable in forecasting stock prices, the comparison is seen from the results of the error evaluation metrics of the two methods.
Co-Authors Dyah Erny Herwindiati Janson Hendryli