Detection of building slope and land subsidence using ultrasonic HC-SR04 sensors based Arduino Uno R3 and Blynk

This study aims to build and test prototypes of building slope and land subsidence based on Internet of Things (IoT) using ultrasonic HC-SR04 sensors and data delivery testing uses ESP8266-01 wifi module. The devices used in this study are ultrasonic HC-SR04 sensors, Arduino Uno R3 microcontroller, ESP8266-01 wifi module, led indicator, resistor, jumper cable and power supply. The measurement of building slope done by placing sensors next the building and to detect distance between the building and sensors. After then converted into a slope angle using trigonometric equations, to measure the land subsidence the ultrasonic sensors were attached in the edge of building in some height, facing to the ground. These ultrasonic sensors were used to detect any land subsidence that occur around the building. The experiment indicated that design monitoring prototypes system successfully displayed what sensor had read translated Arduino Uno and display it into serial monitor on Arduino IDE, and Blynk. Result of building slope an showed that correlation coefficient manually calculated of 0,999, accuracy value between sensor reading and comparison tool is 99.2% and precision value of 96.4% from 15 times data retrieval. And result of land subsidence showed correlation coefficient manually calculated of 0.999, accuracy value between sensor reading and comparison tools is 99.9% and precision value of 99.9% from 10 times data retrieval. And the third led indicator shows the corresponding indicator.