Technema: Journal of Intelligent Engineering and Computing
Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing

Analysis of Potential Hazards in the Mining Area of PT Cakrawala Prima Manunggal Using the Hira Method

Muhammad Rafi Kaldi (Universitas Prabumulih)
Rodiyah Nursani (Universitas Prabumulih)
Suhardiman Gumanti (Universitas Prabumulih)



Article Info

Publish Date
29 Jun 2026

Abstract

Mining activities involve various potential hazards that may cause occupational accidents, requiring systematic efforts to identify, assess, and control workplace risks. This study aims to identify potential hazards, analyze risk levels, and formulate risk control recommendations in the mining production area of PT Cakrawala Prima Manunggal. The study employed the Hazard Identification and Risk Assessment (HIRA) method through field observations, interviews, documentation, and literature review. Hazard identification was conducted across six operational areas, namely the workshop, parking area, front loading, main road hauling, disposal dumping, and stock ROM. Risk assessment was performed by evaluating likelihood and severity using the AS/NZS 4360 risk matrix. The results identified 17 potential hazards, consisting of 10 high-risk hazards (59%), 6 medium-risk hazards (35%), and 1 low-risk hazard (6%). High-risk hazards were primarily associated with road conditions, equipment maneuvering areas, safety berms, dust exposure, inadequate illumination, and disposal-area conditions. Recommended controls include the proper use of personal protective equipment, installation of safety signs and barriers, improvement of road and workplace conditions, dust suppression through water spraying, workplace organization, strengthened supervision, and continuous safety education and implementation of occupational safety and health procedures. These findings provide a systematic basis for prioritizing preventive interventions and strengthening occupational risk management in mining operations.

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Journal Info

Abbrev

technema

Publisher

Subject

Description

Technema: Journal of Intelligent Engineering and Computing is a peer-reviewed academic journal dedicated to publishing high-quality scholarly work in the fields of engineering, computer science, and emerging technologies. The journal provides an international platform for researchers, engineers, ...