ELECTRONICS-BASED EARLY WARNING SYSTEM FOR NATURAL DISASTER MITIGATION

Abstract

Natural disasters that occur more frequently in Indonesia require an effective early warning system to reduce the risk of casualties and material losses. This research aims to analyze the development of electronic-based early warning systems in natural disaster mitigation through a literature review method of 20 scientific articles for the period 2015-2025. The analysis shows that Internet of Things (IoT) technology has become the main foundation in the development of modern early warning systems with the integration of various sensors such as anemometers, ultrasonic, soil moisture, and gas sensors. The developed system is able to achieve high accuracy with a minimum error rate of 0-1.3% and a response time of less than 5 minutes. The implementation of communication technologies such as LoRa, NBIoT, and integration with social media has increased the effectiveness of warning information dissemination. The findings show that the electronic-based early warning system contributes significantly to the achievement of the Early Warnings for All and Sendai Framework for Disaster Risk Reduction 2015-2030 targets. This research contributes to the development of electronic engineering education curriculum that is responsive to the needs of disaster mitigation in Indonesia.