MKG Robotic Ship: Smart Autonomous Surface Vehicle Type Robotic Ship in Oceanographic Parameters Measurement and Early Tsunami Detection

This research explores the innovation of Indonesia’s first ASV robotic ship equipped with ROS technology for measuring oceanographic parameters and early tsunami detection. The robotic ship is designed to offer an efficient and effective solution for realtime data collection and enhancing the tsunami early warning system in Indonesian waters. ROS technology is utilized to optimize navigation, data acquisition, and inter-system communication, enabling autonomous operations under various maritime environmental conditions. The study includes performance testing of the vessel across different water locations, with a particular focus on its water resistance and operational capabilities in extreme weather conditions. The test results demonstrate that the MKG robotic ship achieves high accuracy in measuring oceanographic parameters. Additionally, the ship can detect early signs of tsunamis quickly and precisely, thus reducing disaster risks and providing faster response times for evacuation. This innovation is expected to enhance maritime monitoring and disaster mitigation capabilities in Indonesia through an advanced early warning system. Moreover, the research paves the way for further advancements in autonomous ship technology for oceanographic applications and disaster management, while also offering significant benefits to the community by improving access to maritime monitoring information, including weather, sea conditions, tsunami potential, and other marine data.