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All Journal Jurnal Rekayasa Proses Rekayasa Mesin JURNAL INTEGRASI INOVTEK POLBENG Jurnal Rekayasa Proses Buletin Profesi Insinyur Jurnal Teknologi dan Riset Terapan (JATRA) International Journal of Marine Engineering Innovation and Research DEVICE Journal of Engineering and Applied Technology Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Sinergi Polmed : Jurnal Ilmiah Teknik Mesin Journal of Applied Mechanical Engineering and Renewable Energy (JAMERE) Proceeding Applied Business and Engineering Conference Jurnal Profesi Insinyur Indonesia Jurnal Rekayasa Proses
Hanifah Widiastuti
Politeknik Negeri Batam
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Predictive Maintenance pada Kapal Tanker Mid-Range Menggunakan Machine Learning (XGBoost Algorithm) Meschac Timothee Silalahi; Veryawan Nanda Perkasa; Ita Wijayanti; Hanifah Widiastuti
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study develops a machine learning-based predictive maintenance model for chemical tankers with capacities of 11,000–25,000 DWT using synthetic log-book data representing manual engine-room records without additional sensors. The XGBoost model predicts potential system failures within 14 days, achieving an Area Under Curve (AUC) of 0.9, recall of 0.82, and precision of 0.87. SHAP interpretability analysis identifies exhaust gas temperature differentials between cylinders, scavenge air pressure, and iron content in lubricating oil as the most influential predictors of failure. Implementation of the predictive system improves Mean Time Between Failure (MTBF) by 25.5% and system availability from 94.6% to 97.8%. Economic evaluation yields a Net Present Value (NPV) of USD 2.45 million per vessel with a Payback Period of 11 months. The findings confirm the reliability of machine learning-based predictive maintenance using operational data without expensive sensor infrastructure, supporting both efficiency gains and digital transformation within the maritime industry.
Response of Traditional Boat to Ocean Waves in Operational Conditions Sapto Wiratno Satoto; Hanifah Widiastuti
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 3 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i3

Abstract

Traditional boats haves played a significant role in maritime activities such as fishing, transportation, and trade, particularly in Kepulauan Riau. These boats are typically constructed from wood, with hull designs passed down through generations. However, this traditional approach raises potential safety concerns due to the absence of standardized construction practices and compliance with maritime safety regulations. Reports of frequent accidents suggest that human factors and inadequate hull responses to wave conditions are contributing causes. This study aims to analyze the response of traditional boats from Riau Islands using numerical simulation methods. The analysis is conducted using Maxsurf software, particularly Maxsurf Motions and Maxsurf Stability, applying the linear wave theory approach to evaluate pitch, roll, and heave responses under variations in loading, speed, and wave direction. The results indicate that the boat’s intact stability and seakeeping performance meet IMO safety criteria (C1–C6) under both stationary and 6-knot speed conditions. The seakeeping evaluation conducted using Olson’s criteria under wave height variations ranging from 0.5 to 1.0 meters demonstrates that the vessel’s response consistently remains below the maximum permissible threshold. This research provides initial data and insights to better understand the intact stability and seakeeping characteristics of traditional boats in Riau Islands, particularly regarding their wave response behavior.
Co-Authors Abda Abda Adhe Aryswan Adhitomo Wirawan Adi Irawan Setiyanto Adi S.P Adi Syahputra Purba Ahmad Hamim Thohari Andy Parulian Siregar Annisa Fyona Aprilia, Elin Ari Wibowo Ari Wibowo Arif Darmawan Aulia Fajrin Auliana Diah Wilujeng Baehaqi Baharudin, Budi Bambang Sahputra Batubara, Ninda Hardina Benny Hadli Irawan Budi Baharudin Budi Baharudin Cahyo Budi Nugroho Cinantya, Prajwalita Daniel Sutopo Pamungkas, Daniel Sutopo Dety Febrianti Domi Kamsyah Fadhil Al Fadjri, Muhammad Fajrin, Aulia Fathurrahman Fedia Restu Godlief F. Neonufa Hendra Saputra Hendra Saputra Hermana, Rifki Ihsan Saputra Irawan, Benny Haddli Ita Wijayanti James Siregar Kurniawan, Ded Lalu Giat Juangsa Putra Liony Lumombo Luthfiya Ratna Sari Manurung, Meilani Mandalena Mega Gemala Meida Perwira Antartika Meiti Pratiwi Meschac Timothee Silalahi Mufti Fathonah M Mufti Fathonah Muvariz Muhammad Hasan Albana Muhammad Ismail Muhammad Zaenuddin Muhammad Zainuddin Lubis Muslim Ansori Mutiarani Mutiarani MUTIARANI MUTIARANI Naufal Abdurrahman Naufal Abdurrahman Naufal Abdurrahman Prasetyo Nidia Yuniarsih Nidia Yuninarsih Ninda H.B Nisrina Afifah Novianti Nugroho Pratomo Ariyanto Nugroho Pratomo Aryanto Nur Fitria Pujo Leksonowati Nurman Pamungkas Nurul Laili Arifin Nurul Ulfah Nurul Ulfah Parlin Jhony Haposan Siagian Perkasa, Veryawan Nanda Rahman Hakim Rahman Hakim Rahman Hakim Rahman Hakim Rahman Hakim Rahman Hakim Rasarandi, Farouki Dinda Riyadi, Achmad Didi Rosbandrio, Wowo Saprin Epraim Surbakti Sapto Wiratno Satoto Silaban, Andre Kevil Siregar, James Tatang H. Soerawidjaja Tatang Hernas Soerawidjaja Tirto Prakoso Veryawan Nanda Perkasa Widodo Widodo Widodo Widodo Widodo Windy Stefani Wowo Rossbandrio Yogantara Yogantara Yudy Pratama Yuris Setyoadi