Prediction of flood depth detection system from rainfall with normal, alert and hazard levels based on fuzzy logic
Arya Prabudi Jaya Priana,
Itqon Madani,
Vanya Amanda Lovely
et al.
Abstract:Floods are natural calamities that frequently transpire and are of primary concern for governmental entities due to their potential for significant losses and casualties. Heavy rainfall and overflowing water stand as the primary triggers for flooding. Many communities lack adequate knowledge to forecast floods, thus necessitating technological interventions for early water depth detection and issuing flood warnings. This study devised a water depth detection system based on fuzzy logic using Arduino as a micro… Show more
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