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All Journal International Journal of Science and Engineering (IJSE) KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan JURNAL ILMU DAN TEKNOLOGI PETERNAKAN Jurnal Pendidikan Teknik Mesin Jurnal Penelitian dan Pengembangan Pertanian Jurnal Sain Peternakan Indonesia Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) Jurnal Peternakan Indonesia International Journal of Artificial Intelligence Research IT JOURNAL RESEARCH AND DEVELOPMENT Care : Jurnal Ilmiah Ilmu Kesehatan IJoASER (International Journal on Advanced Science, Education, and Religion) Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Penelitian dan Pengembangan Pertanian International Journal of Advances in Data and Information Systems International Journal of Marine Engineering Innovation and Research Jurnal Litbang Provinsi Jawa Tengah Bulletin of Community Engagement Jurnal Al-Qiyam Jurnal Tana Mana Journal Of Human And Education (JAHE) JURNAL EKONOMI BISNIS DAN MANAJEMEN (EKO-BISMA) Formosa Journal of Computer and Information Science Innovative: Journal Of Social Science Research Indonesian Journal of Innovation Multidisipliner Research SISFOTENIKA Joong-Ki
C. I. Sutrisno
Faculty Animal Science And Agriculture University Of Diponegoro Jl. Prof. Sudarto SH No. 1 Tembalang Semarang Central Java
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Evaluation of Boiler Maintenance Using The Failure Mode and Effect Analysis Approach at KM. Tilongkabila Laili, Qurrotul; Nugroho, Azis; Robbi, Shofa Dai; Kristiyono, Antonius Edy; Sianturi, Intan; SUTRISNO, IMAM
International Journal of Marine Engineering Innovation and Research Vol. 11 No. 1 (2026)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

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Abstract

Boilers experience frequent problems, such as scale formation, unstable steam pressure, incomplete combustion, and difficulty starting. Therefore, this study uses a quantitative method with the Failure Mode and Effect Analysis (FMEA) approach, which aims to determine maintenance and prevention to minimize these problems. This method determines the failure priority obtained from the Risk Priority Number (RPN) calculation based on assessment factors such as severity, frequency of occurrence, and the likelihood of failure being detected in each component. The results of these calculations indicate that the steam drum component falls into the highest category, with an RPN of 32. The other 12 components fall into the medium category: the feed water pump, electrode, photocell, nozzle, blower fan, solenoid valve, fuel pump, blowdown valve, main steam valve, scum valve, non-return valve, and gauge glass, with RPN values ranging from 12 to 24. Furthermore, the components in lowest category include the fuel filter, safety valve, and manometer, with RPN values ranging from 8 to 10. Therefore, the recommended improvements based on the FMEA results can be used as evaluation material to ensure the effectiveness of the improvements. Furthermore, regular boiler maintenance and monitoring are required, especially for components such as the steam drum, which requires additional routine maintenance schedules, repeated evaluations related to water treatment, and determining appropriate repairs for any steam drum failures.
Digital Transformation of Ship Administrative Systems to Enhance Operational Efficiency in Maritime Education Institutions Umasangadji, Fahmi; Sutrisno, Imam
International Journal of Marine Engineering Innovation and Research Vol. 11 No. 1 (2026)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

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Abstract

The management of ship administrative systems in maritime education institutions remains predominantly manual, fragmented, and vulnerable to documentation errors, certification lapses, and operational inefficiencies. As training vessels serve both educational and operational functions, ineffective administrative processes may disrupt academic activities, regulatory compliance, and maintenance scheduling. This study aims to design and evaluate a digital ship administrative management system to enhance operational efficiency and regulatory compliance in maritime education institutions. The research adopts a system development approach consisting of requirement analysis, system architecture design, prototype development, and performance evaluation. The proposed system integrates digital certificate monitoring, automated expiry notifications, document tracking, and a centralized dashboard for real-time administrative status monitoring. System performance is evaluated using operational efficiency indicators, including document processing time, error reduction rate, and administrative readiness level. The results demonstrate that the implementation of the digital administrative system significantly improves document accessibility, reduces processing delays, and enhances compliance monitoring. The centralized dashboard enables proactive decision-making and minimizes the risk of certification expiration. This study contributes to maritime engineering management by providing a practical digital transformation framework tailored for maritime education institutions, supporting the transition toward smart maritime governance and Industry 4.0 practices.
Spatio-Temporal AIS Big Data Analytics of Vessel Traffic Patterns in Kaohsiung Port Arfianto , Afif Zuhri; Santosa, Anisa Fitri; Sutrisno, Imam; Hasin, Muhammad Khoirul; Asmara, I Putu Sindhu; Riananda, Dimas Pristovani; Pambudi, Dwi Sasmita Aji
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1504

Abstract

Maritime traffic management in major ports requires a comprehensive understanding of vessel movement patterns to ensure operational efficiency and safety. This study presents a spatio-temporal analysis of vessel traffic in Kaohsiung Port, Taiwan, utilizing a 10-month snapshot of AIS data (December 2024–October 2025). Employing quantitative methods including Kernel Density Estimation (KDE) for spatial intensity mapping, grid-based discretization for traffic density quantification, and temporal resolution analysis at multiple scales, the research identifies key operational hotspots and peak traffic periods. The analysis encompasses 1,247,890 AIS records from diverse vessel types, revealing distinct spatial clustering patterns in port entrance channels, anchorage zones, and terminal areas. Temporal analysis demonstrates pronounced diurnal and weekly cyclical patterns, with peak traffic intensities occurring during daytime operational hours and weekdays, reflecting commercial shipping schedules and port operational rhythms. The KDE-based hotspot identification reveals high-density zones concentrated within 0.5 nautical miles of major container terminals, indicating critical areas requiring enhanced traffic monitoring and collision avoidance measures. Grid-based traffic density quantification provides granular insights into vessel distribution across different port sectors, enabling zone-specific risk assessment and resource allocation strategies. The findings reveal complex spatio-temporal patterns that reflect the port's role as a major container hub in the Asia-Pacific region. Despite data quality limitations such as unspecified vessel types (59.9%) and incomplete destination fields, the results provide actionable insights for port authorities to enhance safety, optimize operations, and support strategic planning. This methodological framework demonstrates scalability and transferability to other port environments, contributing to the advancement of data-driven maritime traffic management systems
Co-Authors A. I. Izzatullah A. Subrata Acep Rohendi Achmad, Vandy Adhitya, Ryan Yudha Adianto Adianto Agus Khumaidi Ahmad, Zindhu Maulana Al Qori'ah Aldianto, Viky Anak Agung Istri Sri Wahyuni Ardiansyah ARDIANSYAH ARDIANSYAH Arfianto , Afif Zuhri Arfianto, Afif Zuhri Arfianto, Alif Zuhri Ari Wibawa Budi Santosa Ari Wibawa Budi Santosa Asep Saefudin Asmara, I Putu Sindhu B. Sulistiyanto B. Sulistiyanto Bashori, Achmad Boedi Herijono Budi Prasojo, Budi Budianto Budianto Budianto Cahya Setya Utama Cahyono, Ferry Budi Caribu Hadi Prayitno Catur Rakhmad , Handoko Catur Rakhmad Handoko, Catur Rakhmad D. W. Harjanti Desi Tri Cahyaningati Desi Tri Cahyaningati Didik Dwi Suharso Didik Sukoco Dinda Pramanta Dwi Sasmita Aji Pambudi Dyah Riandadari Edy Setiawan Endang Pudji Purwanti Endrasmono, Joko Fahmi Umasangadji Fais Hamzah Faris Nofandi Faruq, Abdul Hafih Abyan Fauzi Muryadih, Izzul Luthfie Fuady, Esqy Dhiya'ul Gaguk Suhardjito Galih Anindita Gunarti, Monika Retno Hamdi Mayulu Handayani, Alfina harliman, saleh Harlinanda, Daffa Alifian Hartanto, Tri Mulyatno Budhi Hasin, Muhammad Khoirul Heri Sutanto Herijono, Boedi Ihsania, Tsabita Ii Munadhif, Ii Ilhan Shanjaya, Mohammad Irfan IRWANDA, IRWANDA ISKANDAR Iskandar Iskandar Joessianto Eko Poetro Joessianto Eko Poetro, Joessianto Eko Kristiyono, Antonius Edy Kusuma, Dedy Hidayat L. K. Nuswantara Laili, Qurrotul Laksono Trisnantoro Lilik Subiyanto M. Munasik Mantau, Aprinaldi Jasa Mardi Santoso Maria, Hanna Messiah, Muhammad Syahid Mohammad Basuki Rahmat Mohammad Basuki Rahmat, Mohammad Basuki Muhammad Khalil, Muhammad Nafi Almuzani Nia Lukita Ariani Nugroho, Agung Nugroho, Azis Nuri Yasmina Amalia Nyoman, I Panggayuh, Ardi Perwi, Darmajanti Prabowo, Dimas Aditya Prahasta, Brendi Pranowo Sidi Pratama, Novaly Arya Prawoto, Agus Projek Priyonggo Sumangun Lukitadi Purwanti, Endang Pudji Purwoko, Ageng Rochmad Joko Putri, Anggie Oktavia R. G. Hayusasmita Rahmat, Mohommad Basuki Riananda, Dimas Pristovani Richo, Richo Rinanto, Noorman Rini Indarti Robbi, Shofa Dai Rosyad, Wafatikhur S. Sumarsih S. Sumarsih Santosa, Anisa Fitri Santoso, Agus Dwi Sianturi, Intan Subekti, Joko Sudiwati, Ni Luh Putu Eka suharso, didik dwi Sumadi Sumadi Sumarsono Sumarsono Sunarso . Surono Surono Suwondo, Iie Tanjung, Ihsan Tarwiyanida, Annisa Umasangadji, Fahmi Urip Mudjiono, Urip Widowati, Eny Hari Wiratno, Daviq Yolanda, Ivana Yudha Adhitya, Ryan Yuning Widiarti Zindhu Maulana Ahmad Putra