eprintid: 9919
rev_number: 5
eprint_status: archive
userid: 46
dir: disk0/00/00/99/19
datestamp: 2025-09-15 07:27:31
lastmod: 2025-09-15 07:27:31
status_changed: 2025-09-15 07:27:31
type: thesis
metadata_visibility: show
creators_name: Dzaky Andrian, Fauzan
creators_NPM: 065119165
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_name: , Herfina
contributors_name: Rama Putra, Gustian
contributors_NIDN: 0404107405
contributors_NIDN: 0406029502
corp_creators: Universitas Pakuan
corp_creators: Fakultas Matematika dan Ilmu Pnegetahuan Alam
corp_creators: Program Studi Ilmu Komputer
title: Deteksi Pelanggaran Kendaraan Jalur Transjakarta Menggunakan Algoritma You Only
Look Once (YOLOv11)
ispublished: pub
divisions: sch_ecs
full_text_status: none
abstract: 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
date_type: published
institution: Universitas Pakuan
department: Fakultas Matematika dan Pengetahuan Alam
thesis_type: Skripsi
thesis_name: Sarjana
citation:   Dzaky Andrian, Fauzan  (2025) Deteksi Pelanggaran Kendaraan Jalur Transjakarta Menggunakan Algoritma You Only Look Once (YOLOv11).  Skripsi thesis, Universitas Pakuan.