Studi Hazop Berbasis Fuzzy Layer Of Protection Analysis (FLOPA) Pada Turbin Gas & Generator Di Saka Indonesia Pangkah Limited (SIPL)

Puspanegara, Nabilah Ismah (2026) Studi Hazop Berbasis Fuzzy Layer Of Protection Analysis (FLOPA) Pada Turbin Gas & Generator Di Saka Indonesia Pangkah Limited (SIPL). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Gas Turbine Generator (GTG) merupakan peralatan kritis penyedia daya listrik pada fasilitas industri minyak dan gas, sehingga kegagalannya berisiko menimbulkan gangguan produksi, shutdown, hingga blackout yang membahayakan keselamatan personel, lingkungan, dan aset perusahaan. Penelitian ini bertujuan untuk menganalisis potensi bahaya pada sistem GTG di SAKA Indonesia Pangkah Limited menggunakan metode Hazard and Operability Study (HAZOP) yang diintegrasikan dengan Layer of Protection Analysis (LOPA), menentukan nilai Safety Integrity Level (SIL) secara kuantitatif menggunakan LOPA, serta mengimplementasikan metode Fuzzy Layer of Protection Analysis (FLOPA) sebagai pendekatan alternatif yang mampu mengakomodasi ketidakpastian data dalam penentuan SIL pada sistem GTG. Identifikasi deviasi proses dilakukan menggunakan pendekatan control chart (μ ± 3σ) terhadap data proses GTG tahun 2025, dikombinasikan dengan data maintenance, Piping and Instrumentation Diagram (P&ID), dan standar internal PGN SAKA sebagai dasar penyusunan HAZOP worksheet. Hasil analisis HAZOP menghasilkan 22 possible consequence, dengan mayoritas (54,55%) berada pada Category V (unacceptable risk), sehingga skenario pada Category IV dan V dianalisis lebih lanjut menggunakan LOPA dan FLOPA. Hasil LOPA terhadap 13 skenario menunjukkan 12 skenario berada pada kategori SIL NR (No Requirement) dan 1 skenario, yaitu deviasi No Power pada parameter Total KW di Node 3, berada pada kategori SIL 0. FLOPA dibangun menggunakan sistem inferensi fuzzy Mamdani Tipe 1 dengan variabel input Severity dan PFD Total (masing-masing 5 fungsi keanggotaan) serta 25 rule base, menghasilkan output SIL Rating dalam bentuk kontinu pada rentang 0–5. Hasil FLOPA konsisten dengan LOPA konvensional, yaitu 12 skenario memperoleh nilai output fuzzy 0,376 (kategori SIL NR) dan 1 skenario memperoleh nilai 1 (kategori SIL 0), namun dengan keluaran numerik kontinu yang secara prinsip memungkinkan gradasi nilai risiko yang lebih detail dibandingkan kategori diskrit pada LOPA konvensional. Hasil ini menunjukkan bahwa FLOPA dapat menjadi pelengkap LOPA konvensional dalam mendukung pengambilan keputusan terkait kebutuhan Safety Instrumented Function pada sistem GTG.
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Gas Turbine Generator (GTG) is critical equipment that supplies electrical power in oil and gas industry facilities, so its failure risks causing production disruptions, shutdowns, and blackouts that endanger personnel safety, the environment, and company assets. This study aims to analyze potential hazards in the GTG system at SAKA Indonesia Pangkah Limited using the Hazard and Operability Study (HAZOP) method integrated with Layer of Protection Analysis (LOPA), determine the Safety Integrity Level (SIL) value quantitatively using LOPA, and implement the Fuzzy Layer of Protection Analysis (FLOPA) method as an alternative approach capable of accommodating data uncertainty in SIL determination for the GTG system. Process deviations were identified using a control chart approach (μ ± 3σ) applied to 2025 GTG process data, combined with maintenance data, Piping and Instrumentation Diagrams (P&ID), and PGN SAKA internal standards as the basis for compiling the HAZOP worksheet. The HAZOP analysis produced 22 possible consequences, with the majority (54.55%) falling under Category V (unacceptable risk), so scenarios in Category IV and V were further analyzed using LOPA and FLOPA. The LOPA results for 13 scenarios show that 12 scenarios fall under the SIL NR (No Requirement) category and 1 scenario, namely the No Power deviation in the Total KW parameter at Node 3, falls under the SIL 0 category. FLOPA was developed using a Type 1 Mamdani fuzzy inference system with Severity and Total PFD as input variables (each with 5 membership functions) and 25 rule bases, producing a continuous SIL Rating output on a scale of 0–5. The FLOPA results are consistent with conventional LOPA, where 12 scenarios obtain a fuzzy output value of 0.376 (SIL NR category) and 1 scenario obtains a value of 1 (SIL 0 category), while its continuous numerical output in principle allows for finer risk value gradation compared to the discrete categories produced by conventional LOPA. These results indicate that FLOPA can serve as a complement to conventional LOPA in supporting decision-making related to Safety Instrumented Function requirements in the GTG system.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Gas Turbine Generator, HAZOP, LOPA, Fuzzy LOPA, Safety Integrity Level, SDG 9: Industry, Innovation and Infrastructure.
Subjects:	T Technology > T Technology (General) > T174.5 Technology--Risk assessment. T Technology > TJ Mechanical engineering and machinery > TJ778 Gas turbines
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Nabilah Ismah Puspanegara
Date Deposited:	03 Aug 2026 07:10
Last Modified:	03 Aug 2026 07:10
URI:	http://repository.its.ac.id/id/eprint/142355

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