Evaluation of Big Data Integration in Monitoring the Performance of the OHS Management System in the Energy Sector

Authors

  • Rifdah Wardani Universitas Mulawarman
  • Ida Ayu Indira Dwika Lestari Universitas Mulawarman

Keywords:

Occupational Safety and Health Management System (SMK3), OHS Performance Monitoring, Digital Transformation of Occupational Safety

Abstract

This study evaluates the integration of Big Data in monitoring the performance of the Occupational Health and Safety Management System (OHSMS/SMK3) in the energy sector in Indonesia. A quantitative approach with an evaluative and explanatory design was employed, involving 210 respondents from oil and gas, power generation, and renewable energy companies. Data were collected through structured questionnaires and analyzed using descriptive and inferential statistical techniques. The findings indicate that Big Data integration significantly enhances OHSMS monitoring performance by improving the timeliness of information, risk visibility, and decision-making effectiveness. Organizations with higher levels of data integration demonstrate stronger capabilities in identifying hazards, responding to incidents, and supporting evidence-based safety management. However, the utilization of advanced data analytics remains comparatively lower than other dimensions, indicating uneven maturity in digital adoption. These results confirm that Big Data integration is not merely a technological upgrade but a strategic transformation toward predictive and preventive safety management. The effectiveness of this integration is influenced by data quality, system interoperability, workforce digital competence, and organizational commitment to data-driven practices. Implications: This study provides specific implications for policy, emphasizing the need for regulatory frameworks that standardize data integration and interoperability in OHS systems, as well as national strategies for strengthening digital competencies in high-risk industries. Organizational policies should also prioritize data governance, cybersecurity, and the alignment of analytics capabilities with operational safety processes to ensure optimal system performance.

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Published

2026-04-23

How to Cite

Rifdah Wardani, & Ida Ayu Indira Dwika Lestari. (2026). Evaluation of Big Data Integration in Monitoring the Performance of the OHS Management System in the Energy Sector. Journal of Occupational Safety, Health, and Environmental Management (K3), 1(1), 42–51. Retrieved from https://gpijournal.com/index.php/k3/article/view/475