Pengembangan Sistem Informasi Maintenance Berbasis Web Menggunakan Metode Reliability Centered Maintenance 3 pada Cooling System Kapal Penumpang

Rosi, Miftachul (2026) Pengembangan Sistem Informasi Maintenance Berbasis Web Menggunakan Metode Reliability Centered Maintenance 3 pada Cooling System Kapal Penumpang. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Transportasi laut, khususnya kapal penumpang, menuntut keandalan sistem permesinan yang tinggi, terutama pada cooling system yang berperan menjaga temperatur kerja mesin utama dan mesin bantu. Kegagalan pada sistem ini berpotensi menyebabkan overheating, kerusakan mesin, hingga ancaman keselamatan. Pendekatan maintenance konvensional berbasis waktu dinilai kurang mampu mengakomodasi variasi kondisi operasi, sehingga diperlukan pendekatan yang lebih sistematis dan berbasis risiko. Penelitian ini bertujuan mengidentifikasi mode kegagalan beserta dampaknya pada cooling system kapal penumpang, serta mengembangkan sistem informasi maintenance berbasis web yang mengimplementasikan metode Reliability Centered Maintenance 3 (RCM3). Analisis dilakukan melalui tahapan operating context, function and function failure, Failure Mode and Effect Analysis (FMEA), inherent risk assessment, hingga penentuan strategi maintenance. Hasil penelitian mengidentifikasi 90 failure mode dari 10 equipment cooling system, dengan distribusi risiko sebesar 62,2% Medium Risk, 25,6% Significant Risk, 11,1% Low Risk, dan 1,1% High Risk. Failure mode dengan tingkat risiko tertinggi ditemukan pada komponen HT Cooler akibat penyumbatan strainer air laut oleh kotoran laut. Berdasarkan hasil tersebut, dikembangkan sistem informasi berbasis web bernama RosiCopilot menggunakan PHP Native, MySQL, HTML, CSS, dan JavaScript, terdiri dari delapan modul (Project, Maintenance System, Asset & Operating Context, FMEA, Inherent Risk, Risk Management Strategy, PM Task Detail, dan Ringkasan RCM3), dilengkapi fitur AI Suggest berbasis Anthropic Claude API untuk mempercepat proses analisis tanpa menghilangkan peran engineer dalam verifikasi hasil. Evaluasi Risk Management Strategy menunjukkan 82,2% failure mode menggunakan strategi Scheduled On-Condition Task. Sistem ini menghasilkan PM Task Detail yang dapat diunduh dalam format Excel sebagai dokumentasi maintenance plan cooling system kapal penumpang.
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Maritime transportation, particularly passenger ships, demands a high level of machinery system reliability, especially the cooling system that maintains safe operating temperatures for the main and auxiliary engines. Failure of this system can cause overheating, permanent engine damage, and even safety hazards. Conventional time-based maintenance is limited in accommodating variations in operating conditions, requiring a more systematic, risk-based approach. This study aims to identify failure modes and their effects on the cooling system of a passenger ship, and to develop a web-based maintenance information system implementing the Reliability Centered Maintenance 3 (RCM3) method. The analysis covers operating context, function and function failure, Failure Mode and Effect Analysis (FMEA), inherent risk assessment, and maintenance strategy determination. The study identified 90 failure modes across 10 cooling system equipment items, with a risk distribution of 62.2% Medium Risk, 25.6% Significant Risk, 11.1% Low Risk, and 1.1% High Risk. The highest-risk failure mode was found in the HT Cooler component, caused by seawater strainer blockage from marine debris. Based on these findings, a web-based information system named RosiCopilot was developed using PHP Native, MySQL, HTML, CSS, and JavaScript, consisting of eight interconnected modules (Project, Maintenance System, Asset & Operating Context, FMEA, Inherent Risk, Risk Management Strategy, PM Task Detail, and RCM3 Summary), equipped with an AI Suggest feature powered by the Anthropic Claude API to accelerate the analysis process while retaining the engineer's role in verifying results. Risk Management Strategy evaluation showed that 82.2% of failure modes used a Scheduled On-Condition Task strategy. The system produces a downloadable PM Task Detail in Excel format as maintenance plan documentation for the passenger ship's cooling system.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Artificial Intelligence (AI), Cooling System, RCM , Kapal Penumpang, Sistem Informasi Berbasis Web, Artificial Intelligence (AI), Cooling System, RCM ,Passenger Ship, Sistem Informasi Berbasis Web
Subjects:	T Technology > T Technology (General) > T174.5 Technology--Risk assessment. 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:	Miftachul Rosi
Date Deposited:	01 Aug 2026 06:47
Last Modified:	01 Aug 2026 06:47
URI:	http://repository.its.ac.id/id/eprint/141722

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