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All Journal KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Journal Research of Social Science, Economics, and Management
Handani, Dhimas Widhi
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Earth & Planetary Sciences Environmental Science

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Development of Maintenance Scheduling Model for the Safety Operational of Ship Machinery Handani, Dhimas Widhi; Uchida, Makoto
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 21, No 2 (2024): June
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v21i2.61582

Abstract

Risk management of ship machinery is an important issue since machinery out of order can run into danger, especially for ships at sea. This paper implements risk based maintenance (RBM) to minimize the frequency and consequences of ship machinery failure. Not only the common steps of RBM, such as identification of problem, risk assessment, risk evaluation, and maintenance planning are conducted, but this paper also proposes a new model called ship position estimation. The preliminary identification i.e. identification of failure causes and symptoms as well as the history of failure time will be looked at first. In the risk assessment, quantification of the consequences of failure (Cof) considers system performance loss, while the probability of failure (Pof) is obtained from the reliability analysis of the failure time history. Risk evaluation compares the result of the risk assessment with the risk acceptance criteria in order to determine the level of risk. The proposed model of ship position estimation recognizes the ship position on the voyage when the analyzed machinery is in a high level of risk. Maintenance planning is further carried out to keep the machinery under the risk acceptance level. This paper utilizes a method called system dynamics to create simulation for each step of the RBM. As a case study, the parts of the pumps in the main engine cooling system are analyzed. The result of this paper is a proposed maintenance interval which is reasonable enough compared with the standard for pump maintenance. Additionally, the ship position is included when the pump reaches a high level of risk.
Risk Analysis of Ship Collision and Modelling of Oil Spill Trajectory Study Case : Dumai Port Noor, Fariz Maulana; Handani, Dhimas Widhi; Muryadin, Muryadin; Sari, Dian Purnama; Wijaya, Rio Dwi Sakti; Prasetyo, Dimas Fajar; Setiyobudi, Nanang; Putra, Arfis Maydino Firmansyah; Malakani, Arga Iman; Afandi, Mohamad Imam
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 22, No 1 (2025): February
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v22i1.67794

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Dumai Port is a significant natural port in Sumatra, characterized by deep waters sheltered from waves and calm currents due to surrounding islands. It plays a crucial role in the export of Crude Palm Oil (CPO) and the operations of Pertamina's RU II, which are expected to increase, leading to a rise in ship traffic. In response to this growing vessel traffic, this paper analyzes ship collision frequency and models the dispersion of oil spills as a potential consequence. The ship collision analysis utilizes the Integrated Waterway Risk Assessment Program (IWRAP), combining vessel traffic data over a year with the port's bathymetric data. The analysis revealed a total collision frequency of 0.589766 across various scenarios, including head-on, overtaking, crossing, bending, and merging, which is considered acceptable as it falls below the threshold of one collision per year. Additionally, oil spill trajectory modeling was conducted using two types of oil and two wave heights. In the 2000 m³ oil spill modeling at a height of 0.5 m, the crude oil model showed 68.4% still floating, while the product oil model had 41.7% floating. In the 1.5 m modeling, the crude oil model had 29% floating, and the product oil model had 16.2% floating. Based on these results, the chosen cleanup methods include oil booms, skimming, and dispersants. Effective oil spill cleanup requires collaboration among various stakeholders to ensure the process is carried out efficiently and accurately.
Strategy to Determine The Level of Risk of Work Sites in The Construction Sector Using The Analytical Hierarchy Process (AHP) Method Sunar, Sunar; Handani, Dhimas Widhi
Journal Research of Social Science, Economics, and Management Vol. 5 No. 6 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i6.1290

Abstract

The construction sector faces significant occupational safety challenges, with increasing accident rates necessitating strategic risk management approaches. This study aims to determine work site risk levels in the construction sector using the Analytical Hierarchy Process (AHP) method to optimize safety supervisor placement at PT. X, an international-scale construction fabrication company. The research identifies four main criteria affecting workplace risk: number of workers, critical activities, SIMOPS (Simultaneous Operations), and PTW (Permit to Work) issued, evaluated across seven alternative work locations. Data were collected through expert questionnaires involving HSE Managers, PTW Coordinators, and SIMOPS Facilitators. The AHP analysis revealed that critical activities constitute the most influential criterion with a weight of 47.1%, followed by SIMOPS (28.4%), PTW issued (17.1%), and number of workers (7.4%). Results indicate that NFQ Area 19 presents the highest risk level (0.407), while the Workshop area exhibits the lowest risk (0.024). The consistency ratio for all criteria remained below 0.1, confirming the reliability of the assessment. The findings were validated using Expert Choice software, demonstrating no significant calculation errors. This research provides a systematic framework for prioritizing safety supervision resources based on quantified risk levels, enabling more effective accident prevention strategies in construction environments.
Co-Authors Afandi, Mohamad Imam Dian Purnamasari Gurning, Raja Oloan Saut Malakani, Arga Iman Matondang, Alexander Volta Muryadin, Muryadin Noor, Fariz Maulana Prasetyo, Dimas Fajar Putra, Arfis Maydino Firmansyah Setiyobudi, Nanang Sunar, Sunar Uchida, Makoto Wijaya, Rio Dwi Sakti