Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Tematik : Jurnal Teknologi Informasi Komunikasi

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.
Enhancing Maritime Safety Standards through Advanced Technologies and Professional Education Wulandari, Retno Sawitri; Larsen Barasa; Marihot Simanjuntak; Mudakir; Rosna Yuherlina Siahaan
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.v11i1.1883

Abstract

This research explores the integration of advanced technologies, such as machine learning and sensor data analysis, into maritime education to enhance safety standards. The study focuses on cadets' knowledge, attitudes, and perceptions of safety practices and examines incident data to predict and prevent maritime incidents. Findings reveal that while cadets have substantial knowledge of safety regulations, their attitudes towards safety culture need reinforcement. The alignment of education programs with industry requirements and adherence to international standards are emphasized. Additionally, the integration of technology into curricula is crucial for preparing future maritime professionals. The research underscores the need for a comprehensive approach combining technical knowledge, professional attitudes, and advanced technology to significantly improve safety standards and ensure the sustainability of the maritime industry.