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Soekarta, Rendra
Teknik Informatika, Universitas Muhammadiyah Sorong
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Public Health Social Sciences Other

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Journal : Mobile and Forensics

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Implementation of Deep Learning for Personal Protective Equipment (PPE) Detection on Workers Using the YOLO Algorithm Soekarta, Rendra; Yusuf, Muhammad; Visman, Javan; Hasa, Muh. Fadli; Firdaus, Asno Azzawagama
Mobile and Forensics Vol. 7 No. 2 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v7i2.13884

Abstract

Occupational accidents represent a major challenge in the construction and manufacturing industries. This study aims to develop a deep learning model for real-time detection of personal protective equipment (PPE) usage using the YOLOv5 algorithm. Utilizing a dataset that includes four classes (hardhat, no hardhat, coverall, and no coverall), the model was trained and evaluated based on precision, recall, and mean Average Precision (mAP) metrics. The results demonstrated that the model achieved a high accuracy level with an mAP of 0.91 and stable performance. The model can also rapidly and effectively detect safety attributes even in complex work environments, such as varied lighting conditions and numerous background objects. Based on usability testing results of 85.35% and satisfactory black box testing, this study produced a prototype web-based application enabling efficient and effective PPE monitoring. The application is designed to support the improvement of workplace safety across various industrial sectors in a more practical and adaptive manner. It is expected to increase PPE compliance, reduce accident risks, and contribute significantly to workplace safety in the industry. The conclusion indicates that the YOLOv5 algorithm holds great potential for implementation in technology-based safety monitoring systems and supports the development of a safer and more modern industry.
Co-Authors Abdillah, Muhammad Insan Achmad Saiku Wadianto Achmad Saiku Wardianto Ackswan, M. Aditya Tri Yudha Pratama Ahmad Nur Aswad Ainun K.D.P, Nofryanti Akbar Akbar Akbar Fahroji Paus Paus Akbar ALFIANI PUTRI FITRIYAH RACHMAN Alfiyyah Faridah Aminuyati Amri, Irman Anak Agung Istri Sri Wiadnyani Anita Rahayu Anita Rahayu Aras, Suhardi Ardian Syah Arfan Amran Sulaiman Arief Firmansyah ARNOLDUS JANSSEN POKENIKA Arpandi, Arpandi Asno Azzawagama Firdaus Asran Parkor Basri, Nurul Annisa Bita Malissa Dewi Astri Faroeq Dewi Astria Faroek Elrico Eri Fridayanti Ermin Ermin Fakhri , La Jupriadi Fitrah Pasaribu, Andi Muhammad Fitriyani Tella Fitriyani Tella Fridayanti, Eri Habibi Habibi Habibi Habibi Hasanuddinn Hasanuddinn Hasanuddinn, Hasanuddinn Hasri Putri Wattiheluw Hasryana Suci Dwi Purwanto Rahasia sakka Hidayatulah, Muhamad Luqman Histiarini, Aprisa Rian Ilham S Jamaluddin kadaton, Muhammad sahid s Katmas, Maskia Kayatun, Siti Nur La Jupriadi Fakhri La Muhammad Faishal Nurullah Latuconsina, Siti Rahma M. Ackswan Malik, Nunung Manurung, Yolanda Iriana Mardiana Muh.Said Melin Manipi, - Mersi Modok Miftah Sigit Rahmawati Modok, Mersi Moh. Fatkur Riski Nur Yahya Riski Mohammad Arief Nur Wahyudien Muh. Fadli Hasa Muhamad Luqman Hidayatulah Muhammad Asrul Muhammad ismail Zulkaedi Muhammad Jundullah Muhammad Rezki Muhammad Rizki Setyawan Muhammad sahid s kadaton Muhammad Taufik Aziz Muhammad Yusuf MUHAMMAD YUSUF Muhammad Yusuf Muhidin, Sakti Maulana Mulyaddin Mulyaddin Mulyaddin, Mulyaddin Musdalipah . Nabila NABILLA RIZQI AMALIA NUR ASRI Ningtias, Arya Ayu Nirwana Nurdjan Novita Sari Nunung Malik Nurbaya Nurdjan, Nirwana Nurhalizah Lizah Nurul Widya Har Ode, Endang Stahputri Pandu Diaz Nugraha Putra, Fajar Rahardika Bahari Rafif Fauzan Ridwan Rahardika Bahari Putra, Fajar Rahman, Muh Fadhil Rahmawati, Miftah Sigit Rawi, Rais Dera Pua Retno Irianto, Dwi Reza Mochammad Said REZKI, REZKI Rinanda Tri Setiawan Rizki Setyawan, Muhammad Romdhana Dwi Fitriyani RoniHardika Roni SADRAK IMMANUEL SERARAWANI Said, Reza Mochammad Setiawan, Rinanda Tri Setyawan, Muhammad SIMON, RESKI Simori, Pascalina Magrice Sinon, Hermon Siti Mutmainah Siti Soleha Rahayu Muklis Hayu SRI WULANDARI Suhardi Aras Suharsono Suharsono Suharsono Suharsono Sulaiman, Arfan Amran Surahmanto Syahputra, Abdi Iman Talaohu, Syamsudin Aliphadji Teguh Hidayat Iskandar Alam Tella, Fitriyani tivani nurizqi Umasugi, Edwin Visman, Javan Wahyu Ramadhan Wardianto, Achmad Saiku Wattimena, Mikhael Yapari, Denny Zulkaedi, Muhammad ismail