Performance Evaluation of ARIMA and GRU Models for Forecasting Chili Price in East Jawa
Time series forecasting plays a crucial role in predicting future conditions based on historical data, particularly in the food sector, which is highly susceptible to price fluctuations. This study compares two approaches: the conventional ARIMA method and the deep learning method GRU, to forecast t...
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| Main Authors: | Windi Pangesti, Nabila Syukri, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Muhammadiyah Purwokerto
2025-08-01
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| Series: | Jurnal Informatika |
| Subjects: | |
| Online Access: | http://jurnalnasional.ump.ac.id/index.php/JUITA/article/view/26445 |
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