This research evaluates multi-horizon forecasting of daily mean temperature (TAVG) and maximum temperature (TMAX) at the Malang/Karangploso Climatology Station WMO 96943 using daily meteorological observations from 2014–2023. The predictors include humidity, rainfall, atmospheric pressure, wind variables, weather condi...
Kalimi Kalimi, Ahmad Musyafa, Taswanda Taryo et al.· JOURNAL OF APPLIED INFORMATI...· 1 citation
This study aims to evaluate and compare the performance of the Random Forest, Bidirectional Long Short-Term Memory (BiLSTM), and Isolation Forest algorithms in detecting anomalies in rainfall data, as well as to implement these methods in a web-based monitoring system.
R. Arista, Adi Widiatmoko Wastumirad, Marzuki Sinambela et al.· Micronic: Journal of Multid...· 0 citations
The findings confirm that integrating these networks effectively balances rapid anomaly detection with stable long-term trend forecasting, and can be integrated into AWS telemetry systems as a robust diagnostic tool, providing automated early warnings to prevent critical power failures.
Marzuki Sinambela, Rifqi Daffa Ul Haq, Dibyo Susanto et al.· Indonesian Physical Review· 0 citations
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