Pengembangan Resilient Safety Culture Maturity MODEL (RSCMM) dengan Pendekatan Macroergonomic pada Industri Berbasis Proses Kimia

Mulyasari, Wisda (2026) Pengembangan Resilient Safety Culture Maturity MODEL (RSCMM) dengan Pendekatan Macroergonomic pada Industri Berbasis Proses Kimia. Doctoral thesis, Institut Teknologi Sepuluh Nopember.

[thumbnail of 7010201002-Doctoral.pdf] Text
7010201002-Doctoral.pdf
Restricted to Repository staff only

Download (6MB) | Request a copy

Abstract

Industri berbasis proses kimia merupakan sistem sociotechnical kompleks dengan risiko kegagalan sistemik tinggi. Pengukuran safety culture maturity saat ini sering kali hanya berfokus pada satu subsistem kerja seperti organization, sehingga sering kali bersifat dangkal karena gagal menyentuh akar permasalahan sistemik. Urgensi penelitian ini terletak pada integrasi pendekatan macroergonomic ke dalam Safety Culture Maturity. Hal ini krusial karena tingkat Resilient hanya dapat dicapai jika seluruh subsistem kerja telah selaras secara utuh. Integrasi memastikan bahwa upaya peningkatan keselamatan tidak lagi bersifat parsial, melainkan sebuah transformasi struktural yang mampu mengantisipasi gangguan sebelum menjadi bencana (resiliensi). Penelitian ini bertujuan mengembangkan Resilient Safety Culture Maturity Model (RSCMM) sebagai kerangka kerja komprehensif yang mengacu pada standar Process Safety Management (PSM) OSHA 3132. Model ini mengintegrasikan lima subsistem sociotechnical macroergonomic, yaitu Organization, Job and Task, Human, Environment, serta Tools and Technology. Metodologi penelitian melibatkan justifikasi teoretis dan penilaian dari 10 orang ahli menggunakan uji Content Validity Ratio (CVR) dan Item-Content Validity Index (I-CVI). Melalui Confirmatory Factor Analysis (CFA), penelitian ini menetapkan 41 indikator pengukuran tervalidasi secara empiris serta merumuskan enam maturity yaitu level Pathological, Reactive, Calculative, Proactive, Generative, hingga tingkat tertinggi Resilient. Hasil analisis statistik membuktikan bahwa instrumen ini memiliki tingkat akurasi dan konsistensi yang tinggi (AVE > 0,50) dalam merepresentasikan safety culture maturity di industri berbasis proses kimia. Uji Goodness of Fit mengonfirmasi bahwa model yang dikembangkan sangat sesuai (Good Fit) dengan data empiris. Tahapan ini merupakan prasyarat krusial untuk memastikan bahwa setiap indikator benar-benar murni secara internal sebagai fondasi pengembangan model di masa depan. Secara empiris, variabel yang diukur dalam penelitian ini memiliki kapasitas representasi yang kuat karena mampu menangkap lebih dari 50 persen faktor yang membentuk performa safety culture maturity organisasi, sekaligus memperbaiki kelemahan penelitian sebelumnya. Meskipun dilakukan pada industri pupuk, instrumen ini dirancang agar bersifat aplikatif bagi seluruh industri berbasis proses kimia. Penelitian ini memberikan panduan strategis bagi praktisi dalam merancang intervensi yang tepat sasaran demi mewujudkan organisasi yang benar-benar resilient terhadap risiko kegagalan sistemik.
=================================================================================================================================
The chemical process industry is a complex sociotechnical system with a high risk of systemic failure, necessitating holistic safety management. Current measurements of safety culture maturity often focus solely on a single work subsystem, such as the organisation, resulting in superficial assessments that fail to address systemic root causes. The urgency of this research lies in integrating a macroergonomic approach into Safety Culture Maturity. This integration is crucial because a Resilient level can only be achieved if all work subsystems are fully aligned. Such integration ensures that safety improvement efforts are no longer partial but represent a structural transformation capable of anticipating disruptions before they escalate into disasters (resilience). This research aims to develop the Resilient Safety Culture Maturity Model (RSCMM) as a comprehensive framework referencing the Process Safety Management (PSM) OSHA 3132 standard. The model integrates five sociotechnical macroergonomic subsystems: Organization, Job and Task, Human, Environment, and Tools and Technology. The methodology involves theoretical justification and assessment by 10 experts using the Content Validity Ratio (CVR) and Item-Content Validity Index (I-CVI). Through Confirmatory Factor Analysis (CFA), this study establishes 41 empirically validated measurement indicators and formulates six maturity levels: Pathological, Reactive, Calculative, Proactive, Generative, and the highest level, Resilient. Statistical analysis demonstrates that this instrument has high accuracy and consistency (AVE > 0.50) in assessing safety culture maturity in the chemical process industry. Goodness-of-fit tests confirm that the developed model is a Good Fit with the empirical data. This stage is a crucial prerequisite for ensuring that each indicator is internally pure and serves as a fundamental basis for future model integration. Empirically, the variables measured in this study possess strong representational capacity, capturing more than 50% of the factors shaping organizational safety culture maturity performance while addressing the weaknesses of previous research. Although conducted in the fertilizer industry, this instrument is designed to be applicable across the entire chemical process industry. This research provides a strategic guide for practitioners in designing targeted interventions to create organizations that are truly resilient to systemic failure risks. Keywords: Resilient, Safety Culture Maturity, Macroergonomic, Sociotechnical, Process Safety Management.

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: Resilient, Safety Culture Maturity, Macroergonomic, Sociotechnical, Process Safety Management. Resilient, Safety Culture Maturity, Macroergonomic, Sociotechnical, Process Safety Management.
Subjects: T Technology > T Technology (General)
T Technology > T Technology (General) > T174.5 Technology--Risk assessment.
T Technology > T Technology (General) > T55 Industrial Safety
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26001-(S3) PhD Thesis
Depositing User: Wisda Mulyasari
Date Deposited: 13 Feb 2026 01:15
Last Modified: 13 Feb 2026 01:15
URI: http://repository.its.ac.id/id/eprint/132432

Actions (login required)

View Item View Item