Abstract
Abstract A tidal flood early warning system is crucial to minimize the impact and loss in tidal flood-prone areas. This research proposes an instrumentation and information system for tidal flood early warning monitoring by optimizing tidal data in the local area. The efficiency of the instrumentation depends on the accuracy of the sensors installed. This research presents the testing and application of The A01NYUB ultrasonic sensor with The ESP32S2 microcontroller for real-time technology-based water level monitoring and The Internet of Things concept. The collected sensor data is analyzed with an algorithm that has also been proposed in this research. The results show that the ultrasonic sensors can provide a reliable and adequate tide monitoring scheme with an accuracy of RMSE value of 0.08943 and bias value of – 2×10−16. The developed system provides early warning when the sea level reaches 260-280 cm with the MSL datum reference value range of -20 cm to 40 cm. The system has been tested at the Fisherman Boat Harbor, Tambakrejo, Semarang, Central Java, Indonesia. The test has shown the system’s accuracy and has proven that the developed system will help minimize the impact of the tidal flood disaster.
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