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The Earthquake Prediction in the Southern Part of Sumatra Using Deep Learning (Long Short-Term Memory) Models
JURNAL GEOCELEBES · Vol. 10 No. 1 (2026) · hlm. 1–11
- ISSN
- 2579-5546, 2579-5821
- Terbit
- 2026-04-01
- Penerbit
- Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar
- Bahasa
- en
Abstrak
The Southern part of Sumatra is highly vulnerable to earthquakes due to its location in the subduction zone between the Indo-Australian plate and the Sunda plate. The Southern part of Sumatra’s vulnerability to earthquakes poses significant risks. This research aims at predicting the Earthquakes in the Southern part of Sumatra Using Deep Learning (Long Short-Term Memory) Models, a deep learning method designed to analyze sequential data. The model utilized 20 years of historical earthquake data from 2004 to 2024, with parameters including magnitude, epicenter location, depth, and event time. Data were preprocessed using Min-Max Scaling normalization and split into training data (70%) and testing data (30%). The model was trained over 150 epochs with a batch size of 32. Evaluation results showed a Mean Absolute Error (MAE) of 0.28 and a Root Mean Squared Error (RMSE) of 0.39, indicating high prediction accuracy. The distribution of prediction results confirmed previous studies indicating that earthquakes in Southern part of Sumatra frequently occur in Bengkulu, western South Sumatra, and Southwestern Lampung. These findings underscore the importance of ongoing seismic hazard mitigation efforts and sustainable development planning in earthquake-prone areas.
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25 penulis · 68 tautan kepenulisan bersama · 10 lintas organisasi
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- University of Bengkulu
- Meteorological, Climatological, And Geophysical Agency
- Universitas Syiah Kuala
- Afiliasi tidak diketahui
- Organisasi berbeda
- Organisasi sama
- Afiliasi tidak diketahui
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Tampilkan sebagai tabel
| Rekan penulis | Organisasi | Artikel bersama |
|---|---|---|
| Arif Ismul Hadi | University of Bengkulu | 3 |
| Hana Raihana | University of Bengkulu | 2 |
| Halauddin Halauddin | University of Bengkulu | 2 |
| Siti Hanifah Maulani | University of Bengkulu | 2 |
| Lori Agung Satria | Meteorological, Climatological, And Geophysical Agency | 2 |
| Suaidi Ahadi | Meteorological, Climatological, And Geophysical Agency | 2 |
| Suhendra Suhendra | University of Bengkulu | 1 |
| Khairun Nazli | Universitas Syiah Kuala | 1 |
| Andre Rahmat Al Ansory | University of Bengkulu | 1 |
| Aisyah Cindy Phylia Putri | University of Bengkulu | 1 |
| Muchammad Farid | University of Bengkulu | 1 |
| Nurul Apriyanti | University of Bengkulu | 1 |
| Agnes Apriana | University of Bengkulu | 1 |
| M. Fikri Azhari | University of Bengkulu | 1 |
| Elfi Yuliza | University of Bengkulu | 1 |
| Darmawan Ikhlas Fadli | University of Bengkulu | 1 |
| Ashar Muda Lubis | University of Bengkulu | 1 |
| Camelia Batun Abrar | Afiliasi tidak diketahui | 1 |
| Arya J Akbar | University of Bengkulu | 1 |
| Nanang Sugianto | University of Bengkulu | 1 |
| Liza Lidiawati | University of Bengkulu | 1 |
| Paisal Edo | University of Bengkulu | 1 |
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