INTEGRASI MODEL DETEKSI OBJEK YOLOv11 DAN GPS TAGGING PADA APLIKASI ADUAN JALAN RUSAK DENGAN SISTEM PRIORITAS PENANGANAN MENGGUNAKAN METODE WSM BERBASIS MOBILE ANDROID

Abstrak

Road damage in Indonesia remains a serious problem that affects safety and transportation efficiency. The absence of a fast and accurate reporting system makes it difficult for authorities to determine repair priorities. This study aims to develop an Android-based road damage reporting application that integrates Computer Vision technology using the YOLOv11 model for damage classification, GPS tagging for automatic location recording, and the Weighted Sum Model (WSM) method to determine repair priorities. The research method includes collecting road damage image datasets, training the YOLOv11s model, developing the Android application, and implementing the WSM algorithm based on several criteria, including damage type, road function, authority responsibility, and community support (voting). The experimental results show that the model can recognize seven categories of road damage with a precision of 0.83, recall of 0.81, and mAP@50 of 0.847. The system is also able to record location data in real time and automatically generate repair priority scores, which can assist authorities in determining infrastructure maintenance more efficiently.

Kata kunci

• Android
• Aplikasi