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Penerapan Sistem Tata Kerja Maintenance dengan Peninjauan Ulang Equipment Criticality Assessment (ECA), Failure Mode Effect Criticality Assessment (FMECA), dan Reliability Centered Maintenance (RCM) pada Sebuah Perusahaan Minyak dan Gas Bumi Widiarti, Neni Tri; Sudiarno, Adithya; Chalid, Idham
MASALIQ Vol 5 No 6 (2025): NOVEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i6.7868

Abstract

This study examines the effectiveness of implementing the new Maintenance Work System (Sistem Tata Kerja or STK), enforced since 1 November 2024, in an oil and gas company, with a specific focus on the alignment between equipment criticality assessment outcomes and the revised STK requirements. The core issue lies in the potential shift in asset maintenance priorities and strategies due to misclassification of critical equipment, which may compromise operational reliability. The objective of this research is to revalidate the implementation of Equipment Criticality Assessment (ECA), Failure Mode Effect and Criticality Analysis (FMECA), and Reliability Centered Maintenance (RCM) to ensure they are applied more effectively and efficiently in accordance with international standards—IEC 60300-3-11, IEC 60812, and ISO 14224. The methodology includes document analysis of relevant standards, literature review, and criticality assessment of 182 equipment units using the Reliability Block Diagram (RBD) approach and SAP-based classification systems. The results show that turbomachinery, particularly Gas Turbine Compressors (GTC), remain classified as Production Critical Equipment (PCE), while the glycol system, auxiliary compressors, and gas metering units have been reclassified as secondary or supporting assets. The study recommends strengthening the technical competencies of the maintenance team, applying logic decision tree methodologies in the analytical process, and integrating evaluation outcomes into work scheduling policies and spare parts management. These findings offer practical contributions to the optimization of reliability-based maintenance systems and support more precise technical decision-making in the governance of strategic assets within the oil and gas sector.
Supply Chain Management Strategy Research Quantitative Analysis: Comparing of Smart-PLS and SPSS Results Istimaroh; Chalid, Idham; Setiaji, Bambang; Abu Seman, Noor Aslinda
Krisnadwipayana International Journal of Management Studies Vol 4 No 1 (2024): Krisnadwipayana International Journal of Management Studies
Publisher : Program Studi Magister Manajemen Universitas Krisnadwipayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35137/kijms.v4i1.334

Abstract

Many researchers are unsure which software to use for quantitative research data analysis because there is no research comparing different software options. This study aims to compare the results of using Smart-PLS and SPSS software for analyzing quantitative data in the field of supply chain management. The study analyzed data from 231 respondents using questionnaires with three variables: lean supply chain strategy, agile supply chain strategy, and sustainable performance. The analysis focused on hypothesis testing and regression analysis, which measures the influence of independent variables on dependent variables. The study found that both Smart-PLS and SPSS software produced significant results in terms of p-value, t-value, determination value, and correlation value. This research is unique because it provides a comparative analysis of Smart-PLS and SPSS software.