Decision Support System for Maintenance Due to Hull Fouling Using Numerical and Statistical Approach

Deva, Pande Pramudya (2021) Decision Support System for Maintenance Due to Hull Fouling Using Numerical and Statistical Approach. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Menurut International Maritime Organization (IMO), biofouling berdampak signifikan terhadap konsumsi bahan bakar, emisi polutan udara, dan gas rumah kaca. Salah satu cara untuk menghilangkan biofouling di kapal adalah dengan dilakukannya underwater hull cleaning dan dry-docking, namun keduanya memakan waktu dan biaya dalam pelaksanaannya. Ditambah dengan kebebasan dalam menentukan waktu untuk melakukan underwater hull cleaning dan sulitnya memodelkan pertumbuhan biofouling, menentukan waktu optimal untuk underwater hull cleaning merupakan tantangan bagi operator kapal. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan SPK (Sistem Penunjang Keputusan) untuk memprediksi waktu optimal underwater hull cleaning untuk pengelolaan biofouling guna membantu operator kapal dalam menentukan waktu untuk melakukan underwater hull cleaning. Metode yang digunakan dalam pengembangan SPK adalah dengan menggunakan pendekatan numerik dan empiris. Berdasarkan pendekatan tersebut, model matematis dikembangkan. Model tersebut terdiri dari estimasi resistansi, peningkatan resistansi akibat fouling, hull and propeller matching, algoritma optimasi, dan model ekonomi. Hasil penelitian menunjukkan bahwa DSS mampu memprediksi tanggal optimum perawatan dan membutuhkan waktu sekitar 52 menit, 12 menit, dan 5 menit untuk memprediksi tanggal optimum perawatan pada kondisi durasi perjalanan kapal selama 5 tahun, 2,5 tahun, dan 1 tahun. ================================================================================================ According to International Maritime Organization (IMO), biofouling has a severe impact both on fuel costs and on emissions of air pollutants and greenhouse gases. One of the ways to remove biofouling on ship is underwater hull cleaning and dry-docking, but both require time and cost to be implemented. Due to the freedom of choosing the time to conduct underwater hull cleaning and the difficult to model biofouling growth, determining the optimum time for underwater hull cleaning is a challenge for ship operator. Thus, this study aims to develop a DSS (Decision Support System) to predict optimum time of underwater hull cleaning for biofouling management for aiding ship operator deciding the time for conducting underwater maintenance. The methods used in developing the DSS are numeric and empiric equation. Those equation then developed into mathematical model consist of resistance estimation, increase of resistance due to fouling, hull and propeller matching, optimization algorithm, and economic model. The result show that the DSS able to predict the optimum date for maintenance and it require approximately 52 minutes, 12 minutes, and 5 minutes to predict the optimum date for maintenance in condition of 5 years, 2.5 years, and 1 years duration of travel.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Biofouling, Manajemen Biofouling, Sistem Penunjang Keputusan, Pembersihan lambung bawah air. Biofouling, Biofouling Management, Decision Support System, Underwater Hull Cleaning.
Subjects: T Technology > T Technology (General) > T58.62 Decision support systems
V Naval Science > VC Naval Maintenance
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM751 Resistance and propulsion of ships
Divisions: Faculty of Marine Technology (MARTECH) > Marine Engineering > 36202-(S1) Undergraduate Thesis
Depositing User: Pande Pramudya Deva
Date Deposited: 30 Aug 2021 06:52
Last Modified: 26 Apr 2022 07:44
URI: https://repository.its.ac.id/id/eprint/91186

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