EARLY FLOOD DETECTION DESIGN USING NODEMCU INTEGRATED WITH IOT BASED MD0127 SENSOR WITH TELEGRAM NOTIFICATION

Authors

  • Silvia Intan Anggraini Politeknik Penerbangan Surabaya
  • Nyaris Pambudiyatno Politeknik Penerbangan Surabaya
  • Dwiyanto Dwiyanto Politeknik Penerbangan Surabaya

DOI:

https://doi.org/10.46491/icateas.v3i1.1916

Keywords:

Sensor MD0127, NodeMCU ESP8266, Sensor Ultrasonik, IoT, Blynk

Abstract

The rapid advancement of technology has led to the widespread use of technology in daily activities. One application is the Internet of Things (IoT) which can be implemented to monitor rainfall as an early warning for natural disasters, such as floods. This early flood detection device utilizes a NodeMCU ESP8266, an MD0127 rainfall intensity sensor, an ultrasonic sensor for measuring water level, Arduino IDE, Blynk, and Telegram. The research employed the 4D development method, comprising definition, design, development, and dissemination. The device was tested using a product validation questionnaire, design testing, and Quality of Service (QoS) analysis. Based on the research and testing results, the developed early flood detection system effectively monitors water conditions and provides timely notifications when flood risks are detected. It is expected that this system can be a useful tool in mitigating flood risks by providing accurate and real-time information to users.

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Published

2024-12-06

How to Cite

Anggraini , S. I. ., Pambudiyatno, N., & Dwiyanto, D. (2024). EARLY FLOOD DETECTION DESIGN USING NODEMCU INTEGRATED WITH IOT BASED MD0127 SENSOR WITH TELEGRAM NOTIFICATION. Proceeding of International Conference of Advanced Transportation, Engineering, and Applied Social Science, 3(1), 183–190. https://doi.org/10.46491/icateas.v3i1.1916