IoT-Based Flood Early Warning System For Remote Deployment and an Integrated Social Media

Floods are natural disasters that often occur in Indonesia. It is including in the city of Surabaya which still has 117 flood-prone areas. Flood disasters have significant adverse effects on society, which emphasizes the need for an Early Warning System. Existing EWS, however, faces challenges in data processing efficiency, lacks integration with social media, and cannot operate in areas without electricity. This research aims to enhance the reliability of the EWS by optimizing data processing efficiency using the Internet of Things (IoT), integrating seamlessly with social media, and employing renewable energy sources. The proposed Flood utilizes the advantages of the IoT for collecting and analyzing flood-related data. The result shows this scheme enables real-time monitoring and data-driven decision-making. Results also show the system integrates with social media platforms such as Twitter and Telegram, serving as a vital link to the Surabaya community. In consideration of remote deployment challenges, results show that the proposed system has an integrated solar panel energy system to address the issues associated with remote deployment. The system's independence from traditional electrical grids is guaranteed by this environmentally beneficial energy source, which also makes it especially appropriate for deployment in isolated locations with restricted access to electricity. The synergy of IoT, social media, and solar panels in the proposed EWS anticipates a comprehensive approach to flood management, benefiting the Surabaya community by fostering resilience and reducing the vulnerability to flood-related hazards.