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INDONESIA
Jurnal Sains Teknologi Transportasi Maritim
Published by Akademi Maritim Suaka Bahari Cirebon
ISSN : 26849135     EISSN : 27221679     DOI : https://doi.org/10.51578
Core Subject : Science, Engineering,
Decision Sciences, Operations Research & Management Energy Transportation
Jurnal Sains Teknologi Transportasi Maritim (Jurnal Sitektransmar) merupakan jurnal yang memfokuskan kemaritiman dan memfasilitasi bagi para teknisi, pemerintah, pendidik, ilmuwan, peneliti, dan operator dan praktisi perkapalan, pemerhati lingkungan kelautan, dan penggiat pariwisata pantai dan laut, menejemen transportasi laut. Membahas tentang perkembangan teknologi, keteknikan, sains, dan menejemen transportasi laut dan kepelabuhanan. Topik yang dibahas diantaranya sains dan teknik perkapalan, nautika, navigasi, sistem pengerak mesin kapal, energi dan energi terbarukan kelautan, metodologi desain dan operasional kapal, produk teknologi dan pemerliharaan kapal, sistem dinamika dan kendali, sains material, kepelabuhan dan menejemen transportasi laut, pariwisata pantai dan laut, ekowisata kemaritiman, logistik, dan perusahanan pelayaran dan di bidang pendidikan vokasi kemaritiman.
Arjuna Subject : Teknik (semua kategori) - Teknik Kelautan
Articles 94 Documents
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Predicting Container Delivery Dates Using Machine Learning Techniques: A Regression Approach Godwin Nwachukwu Nkem; Gbadebo, Adedeji
Nama Jurnal Akmi Vol 7 No 2 (2025): Jurnal Sitektransmar November 2025
Publisher : LPPM AKMI SUAKA BAHARI CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51578/j.sitektransmar.v7i2.113

Abstract

Abstract Inland container delivery constitutes a critical component of the global maritime logistics chain, acting as the final phase that connects international ports to inland destinations. Accurate prediction of inland container delivery times is crucial for enhancing operational efficiency, minimizing demurrage and detention costs, and improving customer satisfaction across global supply chains. Purpose –. This study leverages historical container movement data across key international ports to develop a robust machine learning model for predicting inland container delivery timelines. Methodology –. Using a Random Forest Regressor, the model was trained to forecast the total inland delivery time based on features such as container size, type, shipping line, dispatch weekday, and temporal patterns. Findings – The findings have practical implications for shipping lines, freight forwarders, port authorities, and inland terminal operators seeking to optimize logistics planning, reduce uncertainty, and improve supply chain. Evaluation of the model's performance yielded a Mean Absolute Error of 4.59 days, a Root Mean Squared Error of 10.55 days, and a coefficient of determination of 0.68, indicating moderate predictive accuracy. Supporting visualizations - including learning curves, gain curves, feature importance plots, residual distributions, and prediction bands - illustrate the model's strengths and areas for further refinement. Originality – The study contributes to the growing field of intelligent logistics and maritime informatics by providing a data-driven framework for improving inland delivery predictability
Sailing Toward Stress: How Compliance Demands Influence Seafarers’ Wellbeing Ausan, Dec Airo Mari
Nama Jurnal Akmi Vol 7 No 2 (2025): Jurnal Sitektransmar November 2025
Publisher : LPPM AKMI SUAKA BAHARI CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51578/j.sitektransmar.v7i2.114

Abstract

Purpose - This study examines how preparation for strict Port State Control Inspections (PSCI) by the Australian Maritime Safety Authority (AMSA), influences the welfare, living and working conditions of seafarers on board PSC vessels in New South Wales. It examines how the onus of ensuring regulatory compliance for ships – particularly in terms of safety, the environment, and labor – impacts the physical, mental, and emotional well-being of seafarers. Some elements of seafarers’ welfare were examined, revealing that compliance with work/rest hours, food quality, accommodation, leadership practices, and the length of the voyage are determining factors. Methodology – A quantitative, cross-sectional research design was employed to gather information from 300 seafarers across various ranks and vessel classes. Data revealed strong demand for improvements in leadership, standardization of living conditions, management of fatigue, and regard for seafarers’ physical well-being. Findings – The findings show extensive differences in welfare between ranks, with senior (management and operational) staff reporting higher levels of fatigue, stress and dissatisfaction than support personnel. A last-minute rush of too little food, improper accommodation and disrupted work/rest hours in expectation of an imminent inspection heightened stress and fatigue. Originality –.These findings suggest that allowing sufficient time to carry out inspections and attending to the welfare of seafarers can significantly reduce stress levels, which, in turn, improves the morale of the entire crew, leading to safer.
Case Analysis of Bowl Rotation Performance Deficiency in the FO Purifier of MV Manalagi Tara Robertus Constantin Farrel; Amad Narto; Utari, Riyadini
Nama Jurnal Akmi Vol 7 No 2 (2025): Jurnal Sitektransmar November 2025
Publisher : LPPM AKMI SUAKA BAHARI CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51578/j.sitektransmar.v7i2.110

Abstract

Abstract The FO purifier auxiliary aircraft on board is a critical auxiliary machine in the fuel system. It separates fuel oil from air, mud, and dirt. When the researcher was conducting sea practice on the MV Manalagi Tara, the FO purifier auxiliary aircraft experienced damage, resulting in the release of oil into the sludge channel of the FO purifier, which caused a decrease in FO purifier performance. Then, the FO purifier was immediately turned off by Engineer Four before more oil came out, which caused a reduction in fuel oil. Purpose - This study is to determine the factors causing the reduced performance of the bowl rotation on the FO purifier, the impact of the malfunction of the bowl rotation, and the failed performance of the bowl rotation on the FO purifier. Methodology – The research method employed in this thesis is qualitative, utilizing the fishbone analysis technique. Findings – The results from this study indicate that the factors causing the lack of bowl rotation performance on the FO purifier are dirty bowls, loose flat belts, damaged bowl shaft bearings, and worn bowl shafts. The impacts are caused by factors contributing to the lack of bowl rotation performance on the purifier. Efforts that can be made so that the rotation performance on the FO purifier can operate normally are cleaning the FO purifier bowl, adjusting the flat belt, replacing the bearing shaft, and the shaft bowl with new ones. Originality – Understanding of mechanical condition and material degradation influence purifier performance in real ship operation
The Supply Chain Management Practices of the Ship Repair Industry in Colombo Dockyard: Literature Review Karunatilleke, Anna Weerakoon
Nama Jurnal Akmi Vol 7 No 2 (2025): Jurnal Sitektransmar November 2025
Publisher : LPPM AKMI SUAKA BAHARI CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51578/j.sitektransmar.v7i2.109

Abstract

Abstract Purpose – This study investigates the relationships between employee involvement, partnership management, and supply chain performance in Sri Lanka’s ship repair industry, focusing on Colombo Dockyard Ltd (CDL). Methodology – Using a literature review, the research describes supply chain processes, procurement practices, and competitive dynamics within the dockyard’s operations. Data were collected through document analysis, literature review, and process mapping, supported by visual tools such as flowcharts and gap analysis frameworks. Findings – The study identifies critical challenges such as dependence on imported marine materials, price fluctuations, and inefficient procurement timelines. A key structural barrier highlighted is the lack of local manufacturing capabilities, which impacts cost and responsiveness. Despite these constraints, the study reveals opportunities for improvement through strategic partnerships, localized sourcing, and integrated supply chain models. Originality – By providing evidence-based insights, this research contributes to the development of sustainable, competitive strategies for medium-sized ship repair yards in South Asia and offers policy-level recommendations for sectoral development.

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