This study aimed to analyze the effects of individual, organizational, and work environment factors on employee safety compliance in the implementation of Corporate Life Saving Rules (CLSR) and to formulate strategic recommendations for improving implementation effectiveness. The study employed a quantitative approach using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. Data were collected through questionnaires distributed to 174 workers and work partners involved in high-risk activities. The results indicated that Safety Climate, Safety Knowledge, and Safety Motivation had positive and significant effects on Safety Compliance in CLSR implementation. Safety Leadership did not directly affect Safety Compliance but played an important role in enhancing Safety Motivation, Risk Perception, and Safety Knowledge, which support safe work behavior. In addition, Workload and Work Schedule were found to have negative effects on Safety Motivation. This study concluded that improving worker compliance with CLSR requires an integrated approach involving the strengthening of safety climate, enhancement of safety knowledge, development of safety leadership, and management of work environment factors that influence workers’ motivation to engage in safe behaviors. These findings contribute theoretically to the development of safety compliance models in the upstream oil and gas industry and provide a foundation for developing strategies to improve CLSR implementation in support of achieving the Zero Fatality target.
Muhammad Ibnu Hidayat, E. Pratiwi· Journal of social research· 0 citations
Transshipment point maritime coal logistics involves high occupational safety risks due to dynamic sea conditions, continuous operations, and complex vessel-handling activities. Current monitoring practices primarily rely on CCTV systems for security purposes, limiting the real-time detection of unsafe acts and delaying corrective interventions, which contributes to recurring human-factor-related accidents. A gap remains between safety reporting mechanisms and real-time behavioral observation, indicating the need for proactive monitoring integration at the Bulk Sumatra site. This study designed a proactive occupational safety monitoring system to improve the early detection of unsafe acts and support decision-making in complex maritime operational environments. A qualitative case study approach was employed using observations, interviews, and document reviews conducted at a transshipment point. The collected data were analyzed using Root Cause Analysis (RCA), SWOT analysis (Internal Factor Analysis Summary [IFAS]–External Factor Analysis Summary [EFAS]), and Design Thinking to develop a user-centered monitoring framework. The findings revealed discrepancies between reported unsafe conditions and observed unsafe acts, highlighting the limitations of existing monitoring practices. CCTV systems were found to be underutilized for occupational safety purposes. The proposed system integrates risk-based camera placement, digital safety reporting, monitoring dashboards, risk classification, and structured follow-up mechanisms to enhance response effectiveness. The system design emphasizes early warning capabilities, faster supervisory intervention, and improved accountability across operational areas. The proposed model enhances safety visibility, accelerates risk mitigation, strengthens occupational safety controls, and supports improved safety performance in transshipment operations. This study contributes to the transition from reactive safety management toward proactive, risk-based decision-making within maritime coal logistics operations.
H. Prasetya, E. Pratiwi· Journal of social research· 0 citations
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