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Blestania, Theresa
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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RANCANG BANGUN SISTEM MONITORING LEVEL PERMUKAAN AIR BERBASIS INTERNET OF THINGS (IoT) Subito, Mery; Blestania, Theresa; Amin, Nurhani; Dewi, Sari
Foristek Vol. 13 No. 1 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.247

Abstract

Indonesia is a country that has two seasons, namely the summer and the rainy season, when the rainy season arrives, the rainfall will be very high which can cause flooding. This can be overcome by technological innovation in the form of tools that can work in real-time to detect the condition of water flow in rivers so that losses due to flooding can be minimized. This tool uses a level sensor with the float magnetic level gauge method which is connected to the ESP32 microcontroller module as a sensor data controller and sends the sensor measurement data values ​​to the IoT platform. The sensor measurement results correspond to the water level in centimeters and are sent to the IoT platforms, namely Blynk and Telegram in real-time. The results of sending data to the Blynk and Telegram applications have an average error value of 1.5%.
Co-Authors Mery Subito Nurhani Amin Sari Dewi