TY  - THES
M1  - Skripsi
AV  - none
Y1  - 2025/07/25/
N2  - 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
A1  - Dzaky Andrian, Fauzan
PB  - Universitas Pakuan
TI  - Deteksi Pelanggaran Kendaraan Jalur Transjakarta Menggunakan Algoritma You Only
Look Once (YOLOv11)
UR  - http://eprints.unpak.ac.id/9919/
ID  - eprintsunpak9919
ER  -