Comparative Deep Learning Analysis: Unveiling the Power of LSTM, BiLSTM, GRU, and BiGRU for Agricultural Stock Price Forecasting on the Indonesian Stock Exchange
This study aims to analyze the performance of deep learning algorithms in predicting agricultural sector stock prices on the Indonesia Stock Exchange (IDX) by comparing four models: Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), Gated Recurrent Unit (GRU), and Bidirectional GRU (BiGRU)...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Departemen Sistem Informasi, Universitas Andalas
2026-04-01
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| Colección: | Jurnal Teknologi dan Sistem Informasi |
| Materias: | |
| Acceso en línea: | https://teknosi.fti.unand.ac.id/index.php/teknosi/article/view/4094 |
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