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All Journal Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Manajemen Informatika dan Bisnis Digital
Ronald Simanjuntak
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Computer Science & IT

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Enhancing Port Security and Predictive Maintenance with IoT: Cadets' Perspectives Susi Herawati; Rosna Yuherlina Siahaan; April Gunawan Malau; Derma Watty Sihombing; Boedojo Wiwoho Soetatmoko Jogo; Ronald Simanjuntak
TEMATIK Vol 11 No 1 (2024): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2024
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v11i1.1881

Abstract

This research explores the perspectives of 100 cadets studying multimodal transportation on integrating Internet of Things (IoT) to enhance port security and predictive maintenance. Using qualitative methods, including interviews and document analysis, the study investigates the effectiveness of IoT in real-time monitoring, data security, and predictive maintenance. The findings highlight cadets' recognition of IoT's potential to transform port operations, particularly in improving security measures and maintenance strategies. Cadets also emphasize the importance of professionalism and adherence to standards in IoT integration, valuing compliance with standards, understanding of IoT, training and education, and ethical considerations. The research underscores the need for continuous education and training programmes to prepare future industry professionals for the challenges and opportunities presented by IoT technologies. Overall, this study contributes to the advancement of knowledge in transportation management and education, offering insights for policymakers, industry practitioners, and educators on the integration of IoT in port operations.
Digital Learning Management Systems for Maritime Decarbonization Training: An Adaptive Framework for Seafarer Competency Development Tri Kismantoro; Ronald Simanjuntak; Muhammad Nurdin; Nafi Almuzani; Ardiansyah, Ardiansyah
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.6177

Abstract

The International Maritime Organization's 2023 Greenhouse Gas Strategy necessitates rapid workforce transformation to train 1.2 million seafarers in decarbonization competencies by 2050. This qualitative research investigates adaptive digital learning management systems for maritime decarbonization training through analysis of perspectives from five maritime education professionals with specialized expertise in green shipping technologies and IMO-based learning frameworks. The study employs descriptive analysis to examine participant insights regarding intelligent tutoring systems, predictive learning models, and digital assessment frameworks. Results demonstrate strong support for adaptive learning implementation, with an overall effectiveness score of 4.2 out of 5.0 and projected competency development improvements of 63.0% across domains. Thematic analysis reveals five critical dimensions: personalization imperative, real-time assessment integration, scalability solutions, implementation complexity, and regulatory alignment confidence. Adaptive learning systems can potentially train 240,000 seafarers annually compared to 2,400 through traditional methods while maintaining regulatory compliance. Findings contribute to adaptive learning theory and provide implications for maritime institutions.
Co-Authors April Gunawan Malau ARDIANSYAH ARDIANSYAH Boedojo Wiwoho Soetatmoko Jogo Derma Watty Sihombing Muhammad Nurdin Nafi Almuzani Rosna Yuherlina Siahaan Susi Herawati Tri Kismantoro