The increasing complexity of naval electrical systems and the demand for higher operational reliability necessitate a shift from traditional maintenance methods to data-driven predictive maintenance solutions. This research examines the effectiveness of IoT-based remote monitoring and diagnostic systems in improving system reliability, cost-efficiency, and operational sustainability in naval engineering. A qualitative-empirical approach was applied, utilizing expert interviews, structured surveys, and field observations to assess the impact of IoT-driven predictive maintenance. The findings indicate a significant reduction in system failures (92/100), maintenance costs (89/100), and operational downtime, demonstrating the effectiveness of real-time fault detection and automated diagnostics. Additionally, the study identifies challenges in infrastructure readiness (78/100) and cybersecurity concerns (82/100), which must be addressed for large-scale implementation. While the adoption rate (88/100) reflects strong industry support, skill readiness gaps (80/100) suggest a need for enhanced technical training in maritime education. The research concludes that IoT-based predictive maintenance offers a transformative approach to naval maintenance strategies, ensuring sustainability, efficiency, and enhanced fleet readiness in modern maritime operations.

This research investigates ship maintenance management practices among senior students in shipping engineering during their internships at a vocational school in Jakarta. The study explores the challenges faced, strategies employed, and lessons learned in managing maintenance tasks onboard ships. Seven participants were interviewed, highlighting technical malfunctions, resource limitations, time constraints, environmental factors, and communication barriers as primary challenges. Participants utilized preventive maintenance, cross-training, task prioritization, collaborative problem-solving, and digital tools to enhance operational efficiency. Lessons underscored the importance of preparation, teamwork, adaptability, continuous learning, and communication skills in navigating maritime maintenance complexities. The findings emphasize the role of proactive maintenance strategies and technological integration in optimizing sustainability and operational reliability within the maritime industry. Integrating practical training into educational curricula and embracing digital innovations are recommended for preparing future professionals. Future research could explore larger sample sizes and quantitative methodologies to validate findings and quantify the impact of maintenance practices. This study contributes to enhancing vocational education in maritime sciences and informs industry practices for advancing ship maintenance management globally.