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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer Sinergi Jurnal Ilmiah FIFO Jurnal ULTIMA InfoSys Jurnal Ilmu Teknik dan Komputer International Journal of Advanced Technology in Mechanical, Mechatronics and Material (IJATEC) Mejuajua Jurnal Ilmu Komputer Dan Informatika Jurnal Pengabdian Masyarakat dan aplikasi Teknologi
Abdi Wahab
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Other

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Stock Prediction for Indonesia Stock Exchange with Long Short-Term Memory Wahab, Abdi; Herdian, Ali; Wirawan, Dian; Jumaryadi, Yuwan; Alam, Syamsir; Fiade, Andrew
Jurnal Ilmiah FIFO Vol 16, No 1 (2024)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2024.v16i1.010

Abstract

Predicting stock prices through different analyses and techniques is highly challenging. The task is complicated further by fluctuating market conditions and the impact of news, necessitating the consideration of numerous factors. The advancements in machine learning and deep learning have led many researchers to use algorithms like RNN with LSTM for predictions. In this study, we aim to predict stock prices on the Indonesia Stock Exchange using LSTM, focusing on optimizing the hidden layer and activation function. We focus on some stock data with good liquidation in the Indonesia Stock Exchange. The comparison performance between models proposed in this research will be the method in this research. The result showed that the LSTM model with hyperbolic tan activation method performed better than the LSTM model with sigmoid activation method. The future research based on this research, we can compare several other activation methods.
Co-Authors Andi Adriansyah Andi Adriansyah Andrew Fiade Ayu, Kurnia Gusti Dafit Feriyanto Gusti Ayu, Kurnia Hadi Pranoto Hadi Pranoto Herdian, Ali Jumaryadi, Yuwan Muhammad Hidayat Muthiah Ismah Hapsari Putra, Revin Aulia Rizky Eka Sari, Dwi Wulandari Satrio, Musyaffa' Muhammad Syamsir Alam Tyas Agustini Wirawan, Dian Wulandari Sari, Dwi Zakaria, Supaat