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Dinamika Bahari: Journal of Maritime Dynamic
Published by Politeknik Ilmu Pelayaran Semarang
ISSN : 20873050     EISSN : 27220621     DOI : https://doi.org/10.46484/db.v1i1
Core Subject : Education, Social, Engineering,
Education Engineering Environmental Science Mechanical Engineering Transportation
Dinamika Bahari merupakan jurnal berkala bidang nautika, teknika dan tata laksana angkutan laut dan kepelabuhanan yang dimiliki Politeknik Ilmu Pelayaran (PIP) Semarang yang terbit 2 kali setahun, yaitu pada bulan Mei dan Oktober. Dinamika Bahari memuat hasil penelitian, ide, dan gagasan dosen, pengajar, taruna, peneliti serta akademisi di bidang transportasi laut. Dinamika Bahari terbuka bagi masyarakat umum yang ingin mempelajari hasil-hasil penelitian para dosen atau penulis lainnya. Masyarakat juga bisa bergabung menjadi penulis (sebagai akademisi), atau menjadi reviewers sesuai dengan bidang keilmuan masing-masing yang dibutuhkan oleh jurnal ini.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 7 Documents
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Search results for , issue "Vol 6 No 2 (2025): October 2025 Edition" : 7 Documents clear
Analysis of Maintenance Management Model on Refrigerator System on Ship Kundori, Kundori; Khamdilah, Ali; Imanto, Frenki
Dinamika Bahari Vol 6 No 2 (2025): October 2025 Edition
Publisher : Politeknik Ilmu Pelayaran Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46484/db.v6i2.981

Abstract

One type of auxiliary machinery on the ship is a refrigerator systemthat is used to store food supplies to keep them in fresh condition and not quickly damaged or rotten. The purpose of this study is to provide an analysis of the maintenance management model on the refrigerator system so that it can function optimally and predict the possibility of existing damage. The method used is mix method research by combining quantitative and qualitative designs to provide an overview of the problems and solutions provided to the refrigerator system. The results show that the Filter Dryer has the highest damage rate (25%) and the lowest MTBF (864 hours). The discharge pressure has increased from the standard provisions of 250, but in reality it rose to 275, so that it has a deviation of +10%. The discharge pressure deviation indicates a potential problem with the compressor. Limited spare parts inventory is often a complaint of the chief engineer in carrying out maintenance of refrigerator system. The impact of this research shows that the existing maintenance program needs to be restructured. This restructuring could include rescheduling maintenance activities, allocating resources more effectively, as well as implementing a risk- or condition-based approach to reduce downtime and improve efficiency.
Integrating Machine Learning and Internet of Things for Predictive Maintenance Enhancing Operational Efficiency and Maritime Digitalization Setiawan, Ariyono; Handoko, Wisnu; Onn, Choo Wou; Widyaningsih, Upik
Dinamika Bahari Vol 6 No 2 (2025): October 2025 Edition
Publisher : Politeknik Ilmu Pelayaran Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46484/db.v6i2.1031

Abstract

This study explores the implementation of Machine Learning (ML) and the Internet of Things (IoT) in predictive maintenance to enhance the operational efficiency of ships. The primary goal is to evaluate the effectiveness of these technologies in reducing maintenance costs, minimizing unexpected machinery failures, and improving fuel efficiency. The research is based on previous studies on AI-driven predictive maintenance and IoT-based real-time monitoring. It builds upon the work of Kim & Park (2021) and Li et al. (2019), who demonstrated the advantages of deep learning and IoT in improving maritime asset management. A comparative analysis was conducted using multiple ML algorithms, including Random Forest, Support Vector Machine (SVM), K-Means Clustering, and Long Short-Term Memory (LSTM). Data from IoT-enabled sensors on ship machinery were used to evaluate model accuracy, downtime reduction, and cost efficiency improvements. LSTM outperformed other models with an accuracy of 89.1%. Predictive maintenance reduced downtime by 30%, extended machinery lifespan by 20%, and decreased operational costs by 15%. Challenges include IoT infrastructure limitations, data security concerns, and the need for extensive historical data. This study highlights the necessity for shipping companies to invest in IoT infrastructure, cybersecurity measures, and workforce training to optimize predictive maintenance. The research contributes to maritime digitalization by demonstrating how ML and IoT integration can transform maintenance strategies, leading to a more efficient and cost-effective shipping industry.
Integrated Database Design to Support the Development of Indonesian Seafarer Competency Information System Wahyuni, Okvita; Kristiyanti, Mariana; Mahendro, Iwan; Khoriyatun, Siti
Dinamika Bahari Vol 6 No 2 (2025): October 2025 Edition
Publisher : Politeknik Ilmu Pelayaran Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46484/db.v6i2.1044

Abstract

The Indonesian shipping industry has been greatly impacted by the advancement of information and technology, particularly with the introduction of the Integrated Information System (SIT), which facilitates more effective resource management for shipping businesses. Every manager and executor in the maritime industry must practice technical and structural management in order to strengthen maritime human resource capabilities and boost national competitiveness. By using SIT in the context of contemporary businesses, this study seeks to revitalize the Human Resource (HR) management database and enhance the competences of Indonesian sailors. The researchers investigate the efficacy, advantages, and difficulties of reviving an integrated database in human resource management by carrying out an extensive literature review. Interviews and a thorough analysis of numerous relevant information sources are part of the descriptive qualitative research methodology. According to the research findings, operational effectiveness, data-driven decision-making, and the general caliber of human resource services can all be improved by reviving seafarer competency development through the use of an integrated database design in seafarer human resource management. But there are still obstacles to overcome, such reluctance to change and concerns about data security. In order to enhance marine human resources, all stakeholders must work together to revitalize Indonesian sailors' competencies through an integrated database.
The Effect of CLS (Collecte Localisation Satellites) Application Use and Operator Readiness on Ship Monitoring Effectiveness at PT Sinarmas LDA Maritime Putrie, Mayang Felishia; Indriyani, Kristin Anita; Prayogo, Darul; Anggrahini, Wahyu Prasetya; Sulistiyowati, Ely
Dinamika Bahari Vol 6 No 2 (2025): October 2025 Edition
Publisher : Politeknik Ilmu Pelayaran Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46484/db.v6i2.1084

Abstract

The aim to be achieved in this research is to determine the significant influence of the use of the CLS (Collecte Localisation Satellites) application and operator readiness on the effectiveness of vessel monitoring at PT Sinarmas LDA Maritime. This research employs a quantitative method. Data collection techniques involve distributing questionnaires to respondents. The sampling technique applies Slovin’s formula, resulting in a final sample of 40 respondents who use the CLS application services. The data analysis method applied involves multiple linear regression, utilizing two independent factors and one dependent factor. The data is processed through multiple linear regression, incorporating classical assumption testing and hypothesis evaluation. As indicated According to the study results, the F-test indicates that the calculated F-value exceeds the F-table value (81.678 > 3.25), indicating that the use of the CLS application and operator readiness significantly influence the effectiveness of vessel monitoring. The findings conclude that in this study, the variables of CLS application usage and operator readiness (X1 and X2) have an impact on vessel monitoring effectiveness.
Mekanisme Sistem Pengelolaan Sampah Kapal di MT. Petromax dalam Upaya Menjaga Kelestarian Lingkungan Laut Saraswati, Indah; Heriawan, Mohammad Sapta; Rediyanto, Rediyanto
Dinamika Bahari Vol 6 No 2 (2025): October 2025 Edition
Publisher : Politeknik Ilmu Pelayaran Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46484/db.v6i2.1100

Abstract

Shipping activities are one of the causes of marine pollution. The frequent occurrence of pollution in the sea by garbage from ships requires prevention and control efforts. This is what was done by MT. Petromax as a commercial ship operated to transport Crude oil cargo both domestically and abroad. This research aims to examine the implementation of the ship garbage management system mechanism on MT. Petromax in an effort to preserve the maritime environment. The method used is descriptive qualitative with observation and document study approaches. The results showed the efforts of MT. Petromax in preventing and overcoming the pollution of marine debris with the Garbage Management Plan. Garbage management carried out by MT. Petromax is processing garbage through two efforts i.e. 1) garbage management with incinerators, 2) management handling garbage on board and 3) garbage management with Garbage Boat for disposal garbage to receiption shore facility.
Information System of Plan Maintenance System (PMS) Based on Android Application Syamsadhiyak, Nawan Gilang; Hermanto, Andy Wahyu; Safi’i, Imam
Dinamika Bahari Vol 6 No 2 (2025): October 2025 Edition
Publisher : Politeknik Ilmu Pelayaran Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46484/db.v6i2.1104

Abstract

The density of shipping activities today, every ship must have machinery that is always in good condition. Therefore, the implementation of maintenance on every machinery on the ship is very important. However, according to reality, many machinists or engineers do not pay attention to the importance of maintenance on machinery. The machinery maintenance system or Plan Maintenance System (PMS) is a routine maintenance schedule for existing machinery on the ship so that its condition remains optimal. Researchers took the title of this study because they wanted to increase their understanding of the importance of routine maintenance of machinery on ships so that the machinery continues to work optimally. Researchers developed from the importance of maintenance and associated with the application of informatics techniques so that researchers wanted to design an application that functions for an android-based Plan Maintenance System information system that can be used as a maintenance reminder and engine maintenance results. Researchers used the Research and Development method to complete the research conducted with the development of Borg and Gall with the development of 10 steps, but researchers only took 9 steps because researchers did not make products in bulk. The 9 steps are the potential problem stage, information gathering, initial product design, product trial I, product revision I, design validation, product revision II, product trial II, and final product finalisation. The results of the research on making the android-based Plan Maintenance System information system application can be done using all types of computers that have Native Script installed to do the application coding process. This Plan Maintenance System application can be used by cadets of the Semarang Polytechnic of Shipping Science and Engineers who are on board as a means of knowledge and as an information system regarding maintenance of machinery spare parts
Analysis of The Effects of Bad Weather on The Use of Dynamic Positioning to Support Offshore Operations of AHTS Vessels. OPS AORA Widar Bayu Wantoro; Mohammad Haris Irsyam Sah; Susanto, Susanto; Marselia, Marselia; Erwin Sutantyo
Dinamika Bahari Vol 6 No 2 (2025): October 2025 Edition
Publisher : Politeknik Ilmu Pelayaran Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46484/db.v6i2.1294

Abstract

AHTS vessels are tasked with performing heavy-duty operations such as towing and deploying anchors, which are critical steps in the installation and relocation of platforms at designated locations. The Dynamic Positioning System (DPS) consists of several separate modules, each performing its specific function, and collectively counteracting environmental disturbances such as wind, currents, and waves. The operation of the dynamic positioning system is carried out by the captain, assisted by ship officers who hold DPO certification. As the DP system operator, the DPO is responsible for monitoring, evaluating, and controlling the performance of the DP system to ensure the vessel remains stable and in the correct position during operations in waters with adverse weather conditions. This study was conducted to investigate Dynamic Positioning (DP) on the AHTS vessel OPS AORA, which was operating suboptimally. The adverse weather conditions caused the vessel to lose its position. This incident disrupted the vessel's operations during DP operations at the Borr Thor offshore rig in the Bukit Tua Field of Petronas. The study was conducted using a qualitative case study approach. The impact of adverse weather conditions on the Dynamic Positioning (DP) system in the context of offshore AHTS vessel operations was explored through interviews with experienced masters and officers. The research findings revealed that sensor and navigation malfunctions, reduced thruster efficiency, and decreased vessel stability caused the DP system to lose accuracy, potentially leading to position failure and increased accident risks. The implementation of technical and procedural mitigation strategies, such as sensor redundancy, real-time monitoring of sea conditions, and enhancing operator competence, can effectively control the negative impacts of adverse weather conditions.

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