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All Journal IZUMI Celt: A Journal of Culture, English Language Teaching & Literature ETNOSIA : Jurnal Etnografi Indonesia Aksara LLT Journal: A Journal on Language and Language Teaching JAPANEDU: Jurnal Pendidikan dan Pengajaran Bahasa Jepang Ranah: Jurnal Kajian Bahasa Jurnal Ilmiah Lingua Idea AICLL: ANNUAL INTERNATIONAL CONFERENCE ON LANGUAGE AND LITERATURE JURNAL EDUCATION AND DEVELOPMENT Metalingua: Jurnal Penelitian Bahasa SALINGKA International Journal of Cultural and Art Studies (IJCAS) Polingua : Scientific journal of Linguistics, Literature and Language Education Genta Bahtera : Jurnal Ilmiah Kebahasaan dan Kesastraan Jurnal Teknik Informatika (JUTIF) Jurnal ABDIMAS Budi Darma Innovative: Journal Of Social Science Research Vernacular International Journal Linguistics of Sumatra and Malay (IJLSM) Aksara
Abdul Gapur
Faculty Of Language And Communication, Universitas Harapan Medan, Medan, Indonesia.
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
PERSONAL PROTCTIVE EQUIPMENT DETECTION FOR OCCUPATIONAL SAFETY AND HEALTH USING YOLOV8 IN MANUFACTURING COMPANIES: DETEKSI ALAT PELINDUNG DIRI (APD) UNTUK KESELAMATAN DAN KESEHATAN KERJA MENGGUNAKAN YOLOV8 Gapur, Abdul; Wahiddin, Deden; Mudzakir, Tohirin Al; Indra, Jamaludin
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.5.2619

Abstract

According to data from BPJS Keltelnagakelrjaan, 265,333 cases of work accidents were recorded in 2022. The use of personal protective equipment (PPE) is very important in reducing and preventing work accidents in the company. Although PPE cannot eliminate all risks, it is possible to minimise the number of work accidents in manufacturing companies. The aim of this research is to automatically select Personal Protective Equipment (PPE) in the form of hard hats and vests and to improve the accuracy results using the YOLOv8 model. With a dataset of 500 helmet and velst images for deltelksi which will be categorised into 4 classes namely hellelm, velst, no-hellelm, no-velst. The dataset used is 500 data, which is then divided into three datasets, namely: training data as much as 70%, validation data as much as 20%, and telst data as much as 10%, from the dataselt telrselbut the best results of testing data values from 50 dataselt the accuracy results obtained are 0.98. It is hoped that with the use of Meltode and accuracy results using Yolo v8, it can be used in companies by detecting Personal Protective Equipment (PPE) with fast and accurate results, so that it can be applied in monitoring the use of PPE in manufacturing companies to reduce the risk of work accidents in manufacturing companies
Co-Authors Adlina, Min Alvy Mawaddah Alvy Mawaddah Alvy Mawaddah Ayumi Warneliza Azzali, Syafrizal Dina Shabrina Putri Siregar Erikson Saragih Hashim, Haida Umiera Indra, Jamaludin Junaid, Ayesha Khairunnisa Nur Hasanah Khairunnisa Nur Hasanah Mahriyuni Mhd. Pujiono Mudzakir, Tohirin Al Muhammad Kiki Wardana Muhammad Yusuf Muhammad Yusuf Mulyadi Mulyadi Mulyadi Mulyadi Nabilah Chairani Lubis Nasution, Laraiba Rivai Baiquni Rodiyah Harahap Rudy Dermawan Siregar, Dina Shabrina Putri Taulia Wahiddin, Deden