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All Journal JOURNAL OF HEALTH SCIENCE (JURNAL ILMU KESEHATAN)
Yestyana Mufid Rianti
Faculty of Public Health, Universitas Jember, Jl. Kalimantan No. 37, Kampus Bumi Tegalboto No.1/93, East Krajan, Sumbersari, Jember, East Java, Indonesia, 68121
Health Professions Nursing

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Development of a Digital SIKA Dashboard to Replace Manual Systems for Optimizing Work Permit Supervision at ORF PT Pertamina Hulu Energi WMO Yestyana Mufid Rianti; Triyanto Triyanto; Kurnia Ardiansyah Akbar
Journal Of Health Science (Jurnal Ilmu Kesehatan) Vol 11 No 1 (2026): JOURNAL OF HEALTH SCIENCE (JURNAL ILMU KESEHATAN)
Publisher : Fakultas Ilmu Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/jik.v11i1.5043

Abstract

Introduction: The manual Safe Work Permit (SIKA) system at the Onshore Receiving Facility (ORF) of PT Pertamina Hulu Energi West Madura Offshore (PHE WMO) faces challenges like lack of real-time status visibility, document misplacement, and disjointed information, potent ially increasing occupational safety and health (OSH) risks. Methods: This applied research employed a Research and Development (R&D) approach using the ADDIE (Analyze, Design, Develop, Implement, Evaluate) model because of its systematic and iterative framework for designing, testing, and evaluating digital management systems. The study was conducted at the ORF PHE WMO from July to September 2025. Primary data came from field observations and interviews with HSSE personnel, while secondary data included company procedures and permit registers. Results: The study resulted in a web-based Digital SIKA Dashboard. Key features include digital permit submission, multi-level approval workflows (PTWC, AA, SC), an interactive site plot plan for real-time permit location visualization, and integration of supporting documents. The system centralizes data, replacing physical boards and manual registers. Conclusion: The Digital SIKA Dashboard effectively addresses the limitations of the manual system by providing real-time monitoring, enhancing transparency, reducing administrative errors, and supporting integrated OSH management. Its implementation requires user training and potential future integration with IoT for optimal effectiveness.
Co-Authors Kurnia Ardiansyah Akbar Triyanto Triyanto