Sistem Deteksi Lubang Jalan Otomatis Menggunakan Sensor Accelerometer Dan Sensor Gps Berbasis Iot

Damage to road surfaces such as potholes is one of the factors that can increase the risk of accidents and reduce driving comfort. This study develops an IoT-based Automatic Road Pothole Detection System by utilizing an ADXL345 accelerometer sensor and a GPS Neo-7 module to detect vibrations and determine pothole locations in real time. The accelerometer measures changes in acceleration along the X, Y, and Z axes. Based on testing, acceleration values on pothole conditions showed significant fluctuations, such as X = 2,157 and Y = –6,315, X = 0,196 and Y = –7,610, and X = 1,216 and Y = –6,825. In contrast, on flat road conditions the acceleration values were more stable, for example X = –1,922 and Y = –2,667 or X = –2,667 and Y = –1,020. These differences demonstrate the accelerometer’s capability to effectively distinguish variations in road contours. The GPS Neo-7 module is used to obtain pothole coordinates with adequate accuracy. Test results show that the distance error between the actual location and the GPS readings ranges from 4.07 m to 39.71 m, with most values falling between 4–17 m, which is still acceptable for pothole location mapping. Testing indicates a gradual voltage drop from 4,20 V to 3,57 V over 210 minutes, ensuring that the system remains active when the main power supply is disrupted. Overall, the results of accelerometer, GPS, and Mini-UPS testing show that the system is capable of automatically detecting potholes, recording coordinates, and transmitting data in real time with stable and reliable performance.