Evaluasi Keandalan Adaptif Sistem Unattended Machinery Space Menggunakan Failure Mode and Effect Analysis (FMEA) Berbasis Logika Fuzzy

Dzaky, Raihan (2026) Evaluasi Keandalan Adaptif Sistem Unattended Machinery Space Menggunakan Failure Mode and Effect Analysis (FMEA) Berbasis Logika Fuzzy. Masters thesis, Institut Teknologi Sepuluh Nopember.

Text 6019241032_Master_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (4MB) | Request a copy

Abstract

Sistem Unattended Machinery Space (UMS) pada kapal tanker menuntut tingkat keandalan yang tinggi, khususnya pada mesin utama yang berperan langsung terhadap keselamatan dan keberlangsungan operasi kapal. Variasi kondisi operasi, beban kerja, serta keterbatasan pendekatan evaluasi keandalan konvensional menyebabkan perlunya metode evaluasi yang mampu merepresentasikan ketidakpastian dan dinamika risiko kegagalan secara lebih realistis. Failure mode and Effects Analysis (FMEA) konvensional yang masih bersifat subjektif dan statis dinilai kurang adaptif dalam menghadapi kompleksitas tersebut. Penelitian ini bertujuan untuk melakukan evaluasi keandalan sistem UMS pada mesin utama kapal tanker secara adaptif menggunakan FMEA berbasis logika fuzzy. Metodologi penelitian meliputi identifikasi mode kegagalan mesin utama, penilaian risiko kegagalan berdasarkan parameter severity, Occurrence, dan Detection menggunakan skala linguistik, serta transformasi penilaian tersebut ke dalam bilangan fuzzy melalui fungsi keanggotaan. Selanjutnya, mekanisme inferensi fuzzy digunakan untuk mengombinasikan parameter penilaian guna memperoleh nilai risiko kegagalan yang lebih representatif, yang kemudian dikonversi menjadi nilai tegas melalui proses defuzzification. Hasil evaluasi risiko kegagalan digunakan untuk menilai tingkat keandalan sistem secara adaptif serta menentukan maintenance task yang sesuai berdasarkan tingkat risiko masing-masing komponen. Pendekatan ini memungkinkan evaluasi keandalan yang lebih responsif terhadap perubahan kondisi operasi dan karakteristik kegagalan mesin utama. Penelitian ini diharapkan dapat memberikan kontribusi dalam pengembangan metode evaluasi keandalan berbasis logika fuzzy serta menjadi referensi praktis dalam pengelolaan risiko kegagalan dan pemeliharaan mesin utama kapal tanker.
=====================================================================================================================================
The Unattended Machinery Space (UMS) system on tanker vessels requires a high level of reliability, particularly in the main engine, which plays a critical role in ensuring the safety and continuity of vessel operations. Variations in operating conditions, workloads, and the limitations of conventional reliability evaluation approaches necessitate an evaluation method capable of representing uncertainty and the dynamic nature of failure risks more realistically. Conventional Failure Mode and Effects Analysis (FMEA), which remains subjective and static, is considered insufficiently adaptive to address such complexities. This study aims to adaptively evaluate the reliability of the UMS system associated with the main engine of a tanker vessel using fuzzy logic-based FMEA. The research methodology includes identifying main engine failure modes; assessing failure risks based on the parameters of Severity, Occurrence, and Detection using linguistic scales; and transforming these assessments into fuzzy numbers through membership functions. Subsequently, a fuzzy inference mechanism is applied to combine the assessment parameters and produce more representative failure risk values, which are then converted into crisp values through the defuzzification process. The results of the failure risk evaluation are used to adaptively assess system reliability and determine appropriate maintenance tasks based on the risk level of each component. This approach enables a reliability evaluation that is more responsive to changes in operating conditions and the characteristics of main engine failures. This study is expected to contribute to the development of fuzzy logic-based reliability evaluation methods and serve as a practical reference for failure risk management and main engine maintenance on tanker vessels.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Unattended Machinery Space, evaluasi keandalan, FMEA, logika fuzzy, Main Engine
Subjects:	V Naval Science > VC Naval Maintenance
Divisions:	Faculty of Marine Technology (MARTECH) > Marine Engineering > 36101-(S2) Master Theses
Depositing User:	Raihan Dzaky
Date Deposited:	05 Aug 2026 03:54
Last Modified:	05 Aug 2026 03:54
URI:	http://repository.its.ac.id/id/eprint/143903

Actions (login required)

View Item