Risk Analysis and Occupational Safety Control Strategies at Each Workstation in the Production Division of PT XYZ
DOI:
https://doi.org/10.59934/jaiea.v5i2.1978Keywords:
Occupational Safety and Health (OSH), HIRADC, Risk Assessment, Workplace Safety, Manufacturing IndustryAbstract
In facing increasingly intense business competition, companies are required to have human resources with optimal performance in order to achieve organizational goals. Employee performance is influenced by various factors, including work discipline and the implementation of Occupational Safety and Health (OSH). Work discipline reflects employees’ compliance with company rules and procedures, while the implementation of OSH plays an important role in creating a safe, healthy, and comfortable working environment, thereby increasing productivity and reducing the risk of workplace accidents. PT XYZ, a manufacturing company engaged in fertilizer production, has implemented OSH programs in accordance with applicable Indonesian regulations, including Law Number 1 of 1970 concerning Occupational Safety and Government Regulation Number 50 of 2012 concerning the Implementation of the Occupational Safety and Health Management System. Effective OSH implementation is carried out through hazard identification and risk assessment to minimize the potential for occupational accidents and work-related diseases. Through practical work activities, students are given the opportunity to apply academic knowledge directly in an industrial environment and to understand work processes, safety culture, and professional work ethics. The synergy between higher education institutions and the industrial sector is expected to create a productive, safe, and sustainable working environment, while also preparing graduates to face the challenges of the professional world.
Downloads
References
Permatasari, E. D., Handriyanto, C. F., Fanani, T. Al, & Nurika, G. (2025). Rekomendasi Pengendalian Risiko Dengan Metode Hiradc Pada Industri Pengolahan Tahu Tuna Di Jawa Timur. J-KESMAS: Jurnal Kesehatan Masyarakat, 11(1), 55. https://doi.org/10.35329/jkesmas.v11i1.6099
Markus, A. Y., & Djunaidi, Z. (2024). Hazard Identification, Risk Assessment and Determining Control (Hiradc) Pada Kegiatan Perawatan Rolling Stock Equipment Di Tambang Bawah Tanah Pt. X. Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA), 8(2), 479–497. https://doi.org/10.31955/mea.v8i2.4002
Marwah, D. S., Naufal, M., Zata, K. N., & Amri, M. F. (2024). HIRADC dan HIRADC dalam proses industri dan manajemen risiko K3. Journal of Disaster Management and Community Resilience, 1(1), 19–27. https://doi.org/10.61511/jdmcr.v1i1.603
Nur Fahmi Dwiyansah, Tri Ngudi Wiyatno, & Dwi Indra Prasetya. (2025). Analisis Risiko Keselamatan dan Kesehatan Kerja (K3) Menggunakan Metode Hira. Jurnal Teknologi Dan Manajemen Industri Terapan, 4(3), 888–895. https://doi.org/10.55826/jtmit.v4i3.1068
W. A. Jabbar, W. K. Saad, and M. Ismail, “MEQSA-OLSRv2: A multicriteria-based hybrid multipath protocol for energy-efficient and QoS-aware data routing in MANET-WSN convergence scenarios of IoT,” IEEE Access, 2018, doi: 10.1109/ACCESS.2018.2882853.
D. Niyigena, C. Habineza, and T. S. Ustun, “Computer-based smart energy management system for rural health centers,” 2016, doi: 10.1109/IRSEC.2015.7455005.
F.-Z. Younsi, A. Bounnekar, D. Hamdadou, and O. Boussaid, “SEIR-SW, Simulation Model of Influenza Spread Based on the Small World Network,” Tsinghua Sci. Technol., vol. 20, no. 5, pp. 460–473, 2015.
A. Karmakar, S. S. Roy, F. Vercauteren, and I. Verbauwhede, “Efficient finite field multiplication for isogeny based post quantum cryptography,” 2017, doi: 10.1007/978-3-319-55227-9_14.
A. M. H. Pardede, M. Zarlis, and H. Mawengkang, “Optimization of Health Care Services with Limited Resources,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 9, no. 4, pp. 1444–1449, 2019, doi: 10.18517/ijaseit.9.4.8348.
A. M. H. Pardede, Y. Maulita, and R. Buaton, “Application modeling ipv6 (internet protocol version 6) on e-id card for identification number for effectiveness and efficiency of registration process identification of population,” in Journal of Physics: Conference Series, 2018, vol. 978, no. 1, doi: 10.1088/1742-6596/978/1/012017.
Muammar Khadapi and V. M. Pakpahan, “Analisis Sentimen Berbasis Jaringan LSTM dan BERT terhadap Diskusi Twitter tentang Pemilu 2024”, JUKI, vol. 6, no. 2, pp. 130–137, Nov. 2024.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Journal of Artificial Intelligence and Engineering Applications (JAIEA)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.







