Micro hydro power plants produce output in the form of voltage values, current values, velocity values, and water levels.Performing the monitoring and recording of the output, the operator must directly see the display on the plant, so that monitoring is not efficient. In order for more efficient monitoring and data recording, a Supervisory Control And Data Acquisition (SCADA) system is needed that can be done remotely and in real time, this Supervisory Control And Data Acquisition system uses the internet as a medium for sending data from reading and recording data from current sensors, voltage sensors, and speed sensors. , as well as the water level sensor, the reading value from the sensor will be displayed in the form of a Human Machine Interface, the main controller of this system uses NodeMCU lolin version 3 which is a device of the ESP8266. The Human Machine Interface uses Visual Studio to visualize data on the Firebase console database. The experimental results of the Supervisory Control And Data Acquisition system at the output of a microhydro power plant based on IoT (Internet of Things) show that the system is able to read data and record data well when compared with the value of reading data with measuring instruments, the accuracy level is 95%.
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