RANCANG BANGUN SISTEM PENDETEKSI TANAH LONGSOR BERBASIS IOT

Abstract

Indonesia is a country prone to landslides, especially in hilly areas with unstable soil conditions and high rainfall. Delays in detecting early signs of landslides can increase the risk of losses and endanger public safety. Therefore, an early warning system is needed that can provide information on land conditions quickly and accurately. This study aims to design and build an Internet of Things (IoT)-based landslide detection system using an ESP32 microcontroller that can detect changes in land conditions and provide early warnings in real time. The research method used is the system design and development method (engineering design), which includes the stages of problem identification, hardware and software design, tool construction, sensor testing and calibration, system implementation, and system performance testing. The system uses limit switch sensors, GY-291 ADXL345 sensors, HC-SR04 ultrasonic sensors, and Raindrop sensors to detect changes in slope conditions. Data from all sensors is processed by the ESP32 and sent to the monitoring system via Discord. In addition, the system is equipped with a siren and strobe lights as an immediate warning on the location when dangerous conditions are detected. Test results show that the system is capable of detecting safe, alert, and dangerous conditions, sending real-time notifications, and activating warning devices based on the detected conditions. Therefore, the developed system can help increase public awareness and reduce the risk of casualties from landslides.