Development of an Early Warning System for Tidal Flood Disaster Mitigation in Indonesia
DOI:
https://doi.org/10.46229/jifotech.v5i2.1039Keywords:
tidal flood, early warning system, ESP32, IoT, ultrasonic sensor, anemometer, telegramAbstract
Tidal flooding is a hydrometeorological disaster that is increasingly occurring in coastal areas, causing significant material and non-material losses to the community. To anticipate these impacts, a prototype early warning system based on an ESP32 microcontroller equipped with ultrasonic sensors and an anemometer was developed. This system is designed to monitor environmental conditions in real time to detect potential tidal flooding and provide early warnings automatically. The ultrasonic sensor is used to measure air height, while the anemometer measures wind speed as an indicator of extreme weather. The collected data is processed by the ESP32 and sent to a cloud server via a Wi-Fi connection. Information related to environmental conditions can be accessed through a responsive website-based application that supports various devices. The system is also integrated with the Telegram application to send direct notifications when thresholds are exceeded. The trial used a blackbox testing method to experience the system's full functionality. Test results showed that the system performed well, from sensor data acquisition and data transmission to warning notifications. This solution provides a comprehensive, efficient, and easily accessible early warning system, and has the potential to support more effective tidal flood disaster mitigation. The results of the ultrasonic sensor research showed a 95% accuracy rate against manual measurements, the anemometer had a deviation error of less than 5%, data transmission to the cloud server had an average latency of 2–3 seconds, and Telegram notifications were received by users less than 5 seconds after the water threshold was exceeded.
References
S. A. Indahsari and A. F. Hidayatulloh, “Judul Dampak Bencana Banjir Rob dan Adaptasi Masyarakat terhadapnya di Kabupaten Semarang,” J. Energi Baru dan Terbarukan, vol. 4, no. 3, pp. 202–208, Dec. 2023, doi: 10.14710/jebt.2023.18845.
M. A. Damayanti et al., “The IoT-Based Early Warning System for Detecting High Tide Floods (ROB-EWS) in Tambak Lorok, Semarang Indonesia,” J. Geogr. Environ. Earth Sci. Int., vol. 28, no. 10, pp. 13–24, Sep. 2024, doi: 10.9734/jgeesi/2024/v28i10822.
A. F. Waluyo and T. R. Putra, “Peringatan Dini Banjir Berbasis Internet Of Things (IOT) dan Telegram,” Infotek J. Inform. dan Teknol., vol. 7, no. 1, pp. 142–150, 2024, doi: 10.29408/jit.v7i1.24109.
F. R. Usman, W. Ridwan, and I. Z. Nasibu, “Sistem Peringatan Dini Bencana Banjir Berbasis Mikrokontroler Arduino,” Jambura J. Electr. Electron. Eng., vol. 1, no. 1, pp. 1–6, Oct. 2019, doi: 10.37905/jjeee.v1i1.2721.
A. R. Al-faridzi, E. Kurniawan, and A. Sugiana, “Iot Blynk Untuk Sistem Monitoring Pendeteksi Dini Banjir Sungai Citarum Terintegrasi Media Sosial,” Proc. Eng., vol. 7, no. 1, pp. 43–52, 2020.
E. P. Tenda, A. V. Lengkong, and K. F. Pinontoan, “Sistem Peringatan Dini Banjir Berbasis IoT dan Twitter,” CogITo Smart J., vol. 7, no. 1, pp. 26–39, Jun. 2021, doi: 10.31154/cogito.v7i1.284.26-39.
S. Suradi, E-BOOK Pemodelan Sistem. 2022.
K. McElroy, Prototyping for Designers: Developing the Best Digital and Physical Products. Sebastopol, CA: O’Reilly Media, 2017.
A. Silberschatz, H. F. Korth, and S. Sudarshan, Database System Concepts, 6th ed. New York: McGraw-Hill, 2010.
S. Krug, Don’t Make Me Think, Revisited: A Common Sense Approach to Web Usability, 3rd ed. Berkeley, CA: New Riders, 2013.
A. Wijaya and Rino, “Flood Monitoring Early Warning System using Internet of Things-based Telegram,” bit-Tech, vol. 6, no. 3, pp. 281–286, Apr. 2024, doi: 10.32877/bt.v6i3.971.
B. Beizer, Black-Box Testing: Techniques for Functional Testing of Software and Systems. New York: John Wiley & Sons, 1995.
I. Ismail and J. Efendi, “Black-Box Testing : Analisis Kualitas Aplikasi Source Code Bank Programming,” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 4, no. 2, p. 1, Dec. 2020, doi: 10.35870/jtik.v5i1.148.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Iman Permana, Riri Irawati

This work is licensed under a Creative Commons Attribution 4.0 International License.




