relation: http://eprints.unpak.ac.id/9919/
title: Deteksi Pelanggaran Kendaraan Jalur Transjakarta Menggunakan Algoritma You Only  Look Once (YOLOv11)
creator: Dzaky Andrian, Fauzan
description: Deteksi Pelanggaran Kendaraan Jalur Transjakarta Menggunakan Algoritma You Only  Look Once (YOLOv11) Studi Kasus Halte Mangga Besar, Jakarta  Fauzan Dzaki Andrian1  ,  1 Program Studi Ilmu Komputer, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas  Pakuan, Bogor, Jawa Barat, 16143, Indonesia  Abstract  Vehicle violations in Transjakarta dedicated lanes disrupt the efficiency of public transportation in  Jakarta. This study aims to develop an automatic detection system using the YOLOv11 algorithm to  identify two-wheeled and four-wheeled vehicles violating these lanes. Data was collected through 3-  minute videos in the morning, afternoon, and evening, then processed into a labeled dataset using  Roboflow. The model was trained and tested using Google Collaboratory with evaluation metrics such  as precision, recall, F1-score, and mAP. The best results were obtained in the afternoon with mAP@50  reaching 94.3% and precision 91.6%. YOLOv11 has proven effective in detecting violations in real-time  and can be used as a tool to assist traffic law enforcement.  Keywords: YOLO V11 1; Object detectiom 2; Traffic Violations 3; Transjakarta 4; Computer Vision
date: 2025-07-25
type: Thesis
type: NonPeerReviewed
identifier:   Dzaky Andrian, Fauzan  (2025) Deteksi Pelanggaran Kendaraan Jalur Transjakarta Menggunakan Algoritma You Only Look Once (YOLOv11).  Skripsi thesis, Universitas Pakuan.