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All Journal Jurnal Terapan Abdimas E-Dimas: Jurnal Pengabdian kepada Masyarakat Journal of Information Systems and Informatics Abdimasku : Jurnal Pengabdian Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer Bakti Budaya: Jurnal Pengabdian kepada Masyarakat Jikom: Jurnal Informatika dan Komputer Jurnal Pengabdian dan Pemberdayaan Banyuwangi
Wibowo, Galih Hendra
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YOLOv11-Based Automated PPE Detection System for Workplace Safety Monitoring in Electric Power Distribution Operations Ordrick, Jevon; Wibowo, Galih Hendra; Fahmi, Arif; Kurniawan, Indra; Haq, Endi Sailul
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1379

Abstract

Manual monitoring of Personal Protective Equipment (PPE) compliance in electric power distribution is prone to human error, limited supervision, and geographically dispersed work sites. This study proposes an automated PPE detection system using the YOLOv11 deep learning model to enhance safety monitoring at PT PLN (Persero) UP3 Banyuwangi. A dataset of 589 images containing 1,425 labeled PPE instances across seven categories was used to train the YOLOv11s model. The system was deployed via a web-based application with adjustable detection thresholds and validated through interviews with three OHS supervisors. It achieved 94.0% precision, 90.1% recall, and 92.8% mAP@50, with perfect detection for persons and near-perfect results for full-body harnesses. The application processed images in 2–3 seconds on standard CPU hardware, supporting automated documentation for compliance reporting. This is the first known YOLOv11-based PPE detection system tailored to electric power distribution settings. While results are promising, limitations include a small validation set and lower accuracy in detecting safety boots. Future work should explore real-time video analysis, system integration, and long-term studies on safety compliance improvements.
Co-Authors Aditiya, Angger Mahkota Al Haris, Muhammad Fuad Arif Fahmi Ayatullah, Mohamad Dimyati Ayu Wanda Febrian, Ayu Wanda Dianni Yusuf Endi Sailul Haq Farizqi Panduardi Ferdiansyah, Erik Indira Nuansa Ratri Indra Kurniawan Khoirul Umam Kusumawati, Nunik Dwi Liliyanti, Mita Ayu Lutfi Hakim Mahasin, Muhammad Sholah Ordrick, Jevon Pangestu, Yoga Prasetyo, Junaedi Adi Priyadi, Dwi Ahmad Putra, Ravi Pratama Rifqi, Eriz Rini, Eka Mistiko Sepyan Purnama Kristanto Suardinata, I Wayan Subono, Subono Suwardiyanto, Devit Suwardiyanto, Devit Suwardiyanto Syahputra, Galang Budi Wardhana, I Wayan Frico Ari