Penilaian Risiko dan Strategi Inspeksi Sistem Air Tawar pada Fasilitas Floating Production Unit (FPU) Menggunakan Metode Risk Based Inspection (RBI) dan Bayesian Network (BN)

Wulandari, Diaz Putri (2025) Penilaian Risiko dan Strategi Inspeksi Sistem Air Tawar pada Fasilitas Floating Production Unit (FPU) Menggunakan Metode Risk Based Inspection (RBI) dan Bayesian Network (BN). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sistem air tawar pada fasilitas Floating Production Unit (FPU), memiliki peran penting dalam mendukung kelangsungan operasional dan keselamatan pekerja. Namun, tantangan seperti korosi, kerusakan material, dan kondisi operasional yang tidak stabil dapat menurunkan efektivitas sistem. Oleh karena itu, diperlukan pendekatan yang lebih komprehensif dalam penilaian risiko dan strategi inspeksi guna memastikan keandalan sistem. Penelitian ini bertujuan untuk mengidentifikasi risiko pada sistem air tawar di sebuah fasilitas FPU dengan menggunakan metode Risk Based Inspection (RBI) serta RBI yang diintegrasikan dengan Bayesian Network (BN). Selain itu, penelitian ini juga memiliki tujuan untuk menyusun strategi inspeksi berbasis risiko yang efektif dengan menggunakan hasil penilaian risiko. Integrasi RBI dengan BN ini memungkinkan evaluasi risiko yang lebih akurat dengan mempertimbangkan ketidakpastian dan variabel eksternal yang memengaruhi potensi kegagalan. Metode penelitian mencakup identifikasi risiko, analisis akar penyebab kerusakan, serta perbandingan hasil penilaian risiko antara metode RBI dan metode integrasi RBI-BN. Peran BN terletak pada proses perhitungan damage factor (DF) sebagai komponen utama dalam estimasi Probability of Failure (PoF), dengan memodelkan hubungan antar variabel eksternal seperti frekuensi pembersihan, kondisi pelapisan, pemeliharaan, dan lingkungan. Hasil penelitian menunjukkan bahwa berdasarkan pendekatan RBI, tangki portside dan starboard memiliki nilai Probability of Failure (POF) sebesar 7.22E-05 dengan Consequence of Failure (COF) sebesar $9147 dan termasuk dalam kategori risiko rendah (kategori POF 2, COF A). Sedangkan pipa memiliki POF sebesar 6.87E-03 dan COF sebesar $1286, yang diklasifikasikan sebagai risiko sedang (kategori POF 4, COF A). Sementara itu, hasil dari integrasi RBI dan BN menunjukkan bahwa seluruh peralatan mengalami peningkatan risiko. Tangki portside dan starboard memiliki POF sebesar 7.22E-02 dan tetap dengan COF sebesar $9147, sehingga dikategorikan dalam risiko sedang (kategori POF 5, COF A). Pipa mengalami peningkatan POF menjadi 7.34E-03 dengan COF yang sama, dan tetap dalam kategori risiko sedang (kategori POF 4, COF A). Hasil ini menegaskan bahwa pendekatan integratif lebih sensitif terhadap variasi kondisi dan mampu memberikan gambaran risiko yang lebih representatif terhadap kondisi operasional aktual.
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The freshwater system in Floating Production Unit (FPU) facilities plays a critical role in supporting operational continuity and ensuring worker safety. However, challenges such as corrosion, material degradation, and unstable operating conditions can reduce system effectiveness. Therefore, a comprehensive approach to risk assessment and inspection strategy is required to ensure system reliability. This study aims to identify risks within the freshwater system of an FPU facility using the Risk-Based Inspection (RBI) method, along with an integrated approach combining RBI and Bayesian Network (BN) modeling. Additionally, the study seeks to develop an effective risk-based inspection strategy by utilizing risk assessment outcomes. The integration of RBI and BN enables more accurate risk evaluation by accounting for uncertainty and external variables that influence the likelihood of failure. The research methodology includes risk identification, root cause analysis, and a comparative assessment between the conventional RBI approach and the integrated RBI–BN method. BN plays a crucial role in the calculation of the Damage Factor (DF), which serves as a key component in estimating the Probability of Failure (PoF). The model incorporates causal relationships among external variables such as cleaning frequency, coating condition, maintenance quality, and environmental environment. The results show that, based on the conventional RBI approach, the portside and starboard tanks fall into the low-risk category, with PoF values of 7.22E–05 and Consequence of Failure (CoF) values of $9147 (classified as PoF category 2, CoF category A). In contrast, the freshwater pipe is classified as medium risk, with a PoF of 6.87E–03 and CoF of $1286 (PoF category 4, CoF category A). However, the results of the integrated RBI–BN approach indicate increased risk levels for all components. The portside and starboard tanks experienced an increase in PoF to 7.22E–02, while their CoF remained unchanged, reclassifying them into the medium-risk category (PoF category 5, CoF category A). The freshwater pipe's PoF increased to 7.34E–03, with its CoF remaining at the same level, thus also remaining within the medium-risk classification (PoF category 4, CoF category A). These findings demonstrate the value of the RBI–BN integration in enhancing sensitivity to operational risks and supporting more informed and adaptive inspection planning.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Bayesian Network (BN), Floating Production Unit (FPU), Penilaian Risiko, Risk Based Inspection (RBI), Sistem Air Tawar, Bayesian Network (BN), Floating Production Unit (FPU), Freshwater System, Risk Assessment, Risk Based Inspection (RBI)
Subjects:	V Naval Science > VC Naval Maintenance > VC 270-279 Equipment of vessels, supplier,allowances,etc
Divisions:	Faculty of Marine Technology (MARTECH) > Marine Engineering > 36202-(S1) Undergraduate Thesis
Depositing User:	Diaz Putri Wulandari
Date Deposited:	05 Aug 2025 02:59
Last Modified:	05 Aug 2025 02:59
URI:	http://repository.its.ac.id/id/eprint/127131

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