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All Journal Journal of Social Science Asian Journal of Social and Humanities
Setiawan, Raden Novi Andri
Politeknik Pelayaran Banten, Indonesia
Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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The Urgency of Developing a Crewing Management System (CMS) for PT MCS Internasional in the Era of Maritime Digitalization Purnaningratri, Indah; Setiawan, Raden Novi Andri; Widhianingsih, Endah Nur; Purnomo, Hendra; Magdalena, Susiarni
Asian Journal of Social and Humanities Vol. 4 No. 2 (2025): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/3n7n4h62

Abstract

The maritime industry is undergoing a rapid digital transformation that is reshaping traditional operations and human resource management. PT MCS Internasional, a large-scale maritime service provider managing crew operations for multiple types of vessels and companies, faces challenges in data management, efficiency, and compliance monitoring. The complexity of handling numerous crew members and diverse client requirements demands a structured digital solution. This research aims to examine the necessity and urgency of developing a Crewing Management System (CMS) tailored to PT MCS Internasional’s operational framework. Using a qualitative descriptive method through interviews, observation, and document analysis, the study finds that the manual and semi-digital processes currently in use result in data duplication, low accuracy, and slow decision-making. Customized CMS is essential to streamline operations, integrate multiple data sources, ensure regulatory compliance, and improve competitiveness. The paper concludes that implementing a comprehensive CMS will serve as a strategic move to enhance efficiency, reliability, and scalability in managing maritime human resources.
Analyzing the Use of Artificial Intelligence for Optimizing Crewing Management Systems in Indonesian Shipping Companies: A Literature Review Yollanda Octavitri; Raden Novi Andri Setiawan; Pramudyasari Nur Bintari; Rabbani Ischak; Weli Agus Setiawan
Journal Of Social Science (JoSS) Vol 4 No 12 (2025): Journal of Social Science
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/djtmp463

Abstract

The shipping industry relies heavily on efficient crewing management to ensure safe vessel operations and compliance with national and international regulations. In Indonesia, crewing management faces persistent challenges, including complex documentation procedures, manual data processing, high administrative workloads, and limited integration between human resource systems and operational platforms. With the rapid expansion of artificial intelligence (AI) technologies, maritime companies increasingly explore AI-based solutions to optimize decision-making, automate routine processes, and enhance overall crew management performance. This study conducts a systematic literature review to analyze the potential, limitations, and implementation models of AI within the context of crewing management systems (CMS). The result shows that AI significantly improves crew scheduling accuracy, reduces administrative workload by up to 40%, enhances regulatory compliance monitoring, and supports predictive analytics for crew performance and turnover. The study concludes that AI-enabled CMS could transform Indonesia’s shipping operations, although challenges remain in terms of digital readiness, data quality, cybersecurity, and regulatory frameworks. Recommendations are provided to support Indonesian shipping companies in adopting AI-driven crewing management solutions
Co-Authors Hendra Purnomo, Hendra Indah Purnaningratri Pramudyasari Nur Bintari, Pramudyasari Rabbani Ischak Susiarni Magdalena Weli Agus Setiawan Widhianingsih, Endah Nur Yollanda Octavitri