<![CDATA[Shipping safety is a crucial aspect in the maritime industry which faces various risks of accidents. This research aims to examine the innovative role of Big Data and the Internet of Things (IoT) in improving shipping safety through accident prediction and prevention. The research method used is qualitative using secondary data from industry reports, journal articles and related publications. The research results show that Big Data can improve the ability to predict and prevent shipping accidents by analyzing weather data, ship movements and sea conditions to produce accurate predictive models. In addition, IoT makes a specific contribution in real-time monitoring and risk mitigation through sensors and AIS systems that provide real-time data for fast and informed decision making. However, the integration of Big Data and IoT faces major challenges such as cybersecurity, implementation costs, and the need for adequate infrastructure. Nevertheless, the prospects for developing this technology are very promising with increased security protocols, reduced costs through innovation, and development of maritime telecommunications infrastructure. In conclusion, Big Data and IoT have great potential to improve shipping safety, but require attention to existing challenges to realize their full benefits.]]>
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