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Kartika Sari

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Open access Sep 2026

KALMAN FILTER APPLICATION IN WATER LEVEL FLOOD DETECTION

Flooding is one of the most frequent natural disasters and often causes substantial damage to infrastructure and communities. Reliable flood monitoring and Early Warning Systems (FEWS) are therefore essential to mitigate risks and enable timely response. However, measurement noise caused by environmental disturbances s...

Devin Sanyoka, Rahmi Hidayati, Kartika Sari · 0 citations
Open access Sep 2026

Kalman Filter–Enhanced Threshold Framework for Strong Wind Anomaly Detection

The detection of strong wind anomalies is crucial for meteorological monitoring, environmental assessment, and mitigating wind-related risks. However, conventional threshold-based methods often lack robustness when processing noisy and unstable wind-speed data collected under dynamic outdoor conditions. To address this...

Kartika Sari, Rahmi Hidayati, N. M. Huda et al. · 0 citations

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