Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal JUITA : Jurnal Informatika
Yohanes Setiawan
Telkom University
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Real-Time Detection of Outdoor Parking Space Availability Using YOLOv8 Rafi Ardinata Riskiansyah; Yohanes Setiawan; Farah Zakiyah Rahmanti
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 3, November 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i3.27278

Abstract

Finding an empty parking spot in open areas, particularly in busy locations such as shopping centers, remains a significant challenge. This study proposes a real-time system for detecting outdoor parking space availability using the YOLOv8 algorithm, selected for its speed and accuracy in object detection. The dataset consists of 131 annotated images, expanded through three augmentation techniques (rotation, shearing, and flipping) to increase variability. Model training was performed with multiple hyperparameter configurations and evaluated using precision, recall, F1-score, accuracy, and mAP@50. The best configuration, obtained with the Adam optimizer, achieved 96.74% precision, 99.06% recall, 99.17% mAP@50, and 77.91% accuracy. While the system performed effectively and responsively in real-time daytime scenarios, a key limitation is its reduced performance under nighttime conditions due to low visibility and image noise.This research contributes by demonstrating YOLOv8’s potential to improve real-time detection of parking spaces, particularly through handling occlusions and lighting variations, which remain challenges in outdoor environments.
Co-Authors Farah Zakiyah Rahmanti Rafi Ardinata Riskiansyah