Long Short-Term Memory as a Rainfall Forecasting Model for Bogor City in 2025-2026
Indonesia is a country with a tropical climate that has unique and changing weather patterns. Accurate rainfall prediction can help local governments, farmers, and the broader community plan activities that depend on rainfall patterns. This research aims to develop a rainfall prediction model for Bo...
Saved in:
| Main Authors: | Nur Anggraini Fadhilah, Muhammad Abshor Dzulhij Rizki, Muhammad Ryan Azahran, Siti Arbaynah, Rakesha Putra Antique Yusuf, Yenni Angraini, Muhammad Rizky Nurhambali |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Politeknik Negeri Batam
2025-03-01
|
| Series: | Journal of Applied Informatics and Computing |
| Subjects: | |
| Online Access: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9068 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Simulation Study to Identify Factors Affecting the Performance of LSTM and XGBoost for Anomaly Detection on Labeled Time Series Data
by: Muhammad Rizky Nurhambali, et al.
Published: (2025-08-01) -
Daily rainfall prediction using long short-term memory (LSTM) algorithm
by: B SUDARSAN PATRO, et al.
Published: (2024-12-01) -
SVD-LSTM-based rainfall threshold prediction for rainfall-induced landslides in Chongqing
by: Chao He, et al.
Published: (2024-12-01) -
Perbandingan Performa Arimax-Garch Dan Lstm Pada Data Harga Penutupan Saham PT Aneka Tambang Tbk (ANTM.JK)
by: Dhiya Khalishah Tsany Suwarso, et al.
Published: (2025-06-01) -
Utilizing LSTM-GRU for IOT-Based Water Level Prediction Using Multi-Variable Rainfall Time Series Data
by: Indrastanti Ratna Widiasari, et al.
Published: (2024-10-01)