IoT-Based Water Level Detection and Flood Forecasting System for Early Warning and Disaster Mitigation in the Brantas River Basin M. Udin Harun Al Rasyid, Fisabili Maghfirona Firdaus, Arif Basofi, Grezio Arifiyan Primajaya, and Weny Mistarika Rahmawati
Politeknik Elektronika Negeri Surabaya
Abstract
Flood events can occur unexpectedly, particularly in regions proximal to major river systems. When river water levels exceed their banks, the likelihood of inundation in adjacent areas escalates significantly. This study explores the pivotal role of the Internet of Things (IoT) in mitigating flood risks through advanced monitoring and alert systems. IoT technology offers a strategic advantage by delivering real-time data on potential flood threats, thus enabling communities to implement preemptive measures without the necessity for continuous manual observation of river conditions. A cost-effective and practical approach is the deployment of microcontroller-based ultrasonic sensors for accurate water level detection. These sensors, integrated with IoT capabilities, facilitate the continuous monitoring of water levels, transmitting real-time data to centralized systems. Through the utilization of various application programming interfaces (APIs), alerts and notifications are disseminated directly to social media platforms, ensuring timely dissemination of information to the community. This proactive communication strategy enhances community preparedness and response to impending flood threats.
Keywords: Flood Mitigation, Internet of Things, Ultrasonic Sensors, Social Media APIs, River Flow
