Instrumentation for Monitoring and Early Warning of Tidal Flood Using ESP32S2 Microcontroller and A01NYUB Ultrasonic Sensor in Tambakrejo, Semarang
Azza Fidyani Sintania Susanti(1*), Rizki Taqwa Putranto(1), Muhamad Asqi Rahmadani(1), Ikhsan Mustaqim(1), Aloysius Dimas Sanjaya Saliyo(1), Hanna Sazidah(1), Christopher Agung Hutahaean(1), Salsabila Auliya Putri(1), Rossi Nur Iriani(2), Zinedine Wira Mulyawan(1), Moses Wicaksono Kurniawan(1), Ismi ^Alimatunnisa(1), Satria Ginanjar(1), Sekar Adiningsih(1), Anindya Wirasatriya(1), Kunarso(1), Denny Nugroho Sugianto(1), Agus Trianto(2)

(1)Departement of Oceanography, Diponegoro University, Semarang, CJ 50275, Indonesia
(2)Departement of Marine Science, Diponegoro University, Semarang, CJ 50275, Indonesia

Abstract

Tidal flood early warning system is very important 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 technology-based water level monitoring and The Internet of Things concept in real time. The collected sensor data is analysed with an algorithm that has also been proposed in this research. The results show that the ultrasonic sensors that can provide a reliable and adequate tide monitoring scheme with an accuracy of RMSE value of 0.08943 and bias value of - 2 x 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 accuracy of the system and has proven that the developed system will be useful to minimize the impact of the tidal flood disaster that occurs.

Keywords: Early Warning System, Tidal Flood, IoT, Instrumentation

Topic: Ocean Remote Sensing and Marine Technology