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Jepisah, Doni
Universitas Hangtuah Pekanbaru
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Journal : Journal of Applied Data Sciences

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YOLOv12 Model Optimization for Monitoring Occupational Health and Safety in Hospital Archive Rooms Jepisah, Doni; Octaria, Haryani; Muhamadiah, Muhamadiah; Irawan, Yuda
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.936

Abstract

The application of artificial intelligence technology in occupational safety monitoring systems within healthcare facilities has become an urgent necessity, particularly to support compliance with Occupational Safety and Health (OSH) standards in hospitals. This study aims to develop an automated detection model based on YOLOv12 to identify visual OSH elements in hospital archive rooms, such as APAR, evacuation signs, windows, and Personal Protective Equipment (PPE) including masks, gloves, and shoes. The initial dataset consisted of 2,866 documented images, which were expanded through augmentation to 6,886 images to increase data diversity and prevent overfitting. The YOLOv12 model was trained over 100 epochs using SGD as the optimization technique. The dataset was divided into three subsets training, validation, and testing in a proportional manner. Model evaluation employed metrics such as precision, recall, mAP@0.5, and mAP@0.5–0.95, supported by visualizations including the confusion matrix, F1-confidence curve, and precision-recall curve. One of the key advantages of YOLOv12 lies in its architectural efficiency and enhanced generalization capability, enabled by the integration of R-ELAN, Area Attention Mechanism, and FlashAttention. These components allow for broader receptive field processing with reduced computational complexity. Furthermore, the removal of positional encoding and adjustment of the MLP ratio make the model lighter and faster without compromising accuracy. Compared to previous versions (YOLOv8–YOLOv11), YOLOv12 demonstrates more stable and accurate performance in detecting complex OSH objects in indoor environments. The system was also implemented in a real-time user interface using Streamlit, automatically displaying personnel PPE completeness and room safety compliance status. In conclusion, the optimized YOLOv12 model has proven effective for real-time visual detection in OSH contexts. Future studies are recommended to incorporate data balancing approaches, spatial segmentation, and IoT sensor integration to expand the system’s coverage and resilience across diverse workplace conditions.
Co-Authors Abidin, dr. Aldiga Rienarti Ade Idra Suhara Ahmad Hanafi Ahmad Hanafi Ahmad Hanafi Alni Diniati Alni Diniati, Alni Anggraini, Gussri Anggraini, Lola Anusirwan Arba’a, Nurhamni Arnawilis Asmarwiati, Septien Astika, Fitriani Astika, Rini Azlina, Azlina budi hartono Budi Hartono Budi Hartono Damayanti, Elok Daniati, Sy. Effi Dedi Afandi Dekrial Dekrial Dessica Noviasari Dewi Sanita Emy Leonita Ennimay Ester Napitupulu, Ervinna Fetty Try Rahmadani Fitriani Astika Fitriani, Ernita Gussri Anggraini H. Ahmad Hanafi, SKM, M.Kes Haili Harnani, Yaessi Haryani Octaria Henny Maria Herman M. Purwonegoro Herniwanti Herniwanti Hetty Ismainar Huda Nuri Suraya, Huda Nuri Imam Slamet Prasetio Irwan Muryanto Julia Citra Sari Kamali Zaman Karnila Ardiyanti Kholida Hosni Kholili, Ulil Kiswanto Kiswanto Kiswanto Kiswanto Lita Lita, Lita Mahmudah Mailisa Dwi Cahayati Maimun, Nur Marlina, Hastuti Megasari, Miratu Misnaimah, Misnaimah Muhamadiah, Muhamadiah Nadia Rista Nofiyadi Nofiyadi Nopriadi Nopriadi nur helmi Nurafni Marissa Nurmala Sari Jambago Nurwidad, Nurwidad Octaria, Haryani Octaria, Haryani Octaria, Haryani Ovi Novianto Siska Priwahyuni, Yuyun Priwahyuni Putri Yahya Rahayu, Endang Purnawati Rani, Novita Rany, Novita Riauni Syaputri Ricardo Ricardo Riri Maharani Rizer Fahlevi Roslia Asrin Rukijah, Siti Septemdelti, Mona Shanti Veroniga Handayani Siti Hasanah Sy Effi Daniati Syamnur, Rizka Amelia Syarafina, Intan Tia Harjianti Tri Jenny Minarsih Tri Purnama Sari Tri Purnama Sari Tuty Syafni Ulil Kholili Via Trisna, Wen Wen Via Trisna Wulandari I, Prima Yang Ma Aisyah Yang Ma Aisyah Yeni Yeni Yessi Harnani Yuda Irawan Yunita, Jasrida Yusneli, Yusneli Zaman, M. Kamali Zapri Salis Zulhenry