<![CDATA[In this research, designed an overvoltage and undervoltage fault detector based on the Internet of Things (IoT), which aims to monitor the quality of electrical voltage in detecting overvoltage / undervoltage faults that change instantly with real-time monitoring. This system detects voltage disturbances using the PZEM-004t sensor by considering PLN standards. The overvoltage is above +5% normal voltage and for undervoltage below -10% normal voltage. Voltage disturbances are injected through the transformer configuration to generate overvoltage / undervoltage instantly. Furthermore, the voltage that has been read by the sensor is sent to the Blynk platform as a monitoring system. The transformer configuration is simulated first, with an overvoltage result is 251.8 V and an undervoltage is 110.6 V. In the results of the hardware transformer configuration test, the overvoltage injection is 253 V and the undervoltage is 117.3 V. The data displayed by the monitoring system is compared with the Fluke 43B measuring instrument to be calibrated, with an average error of 1.2%. Monitoring data can be accessed via gadgets. So that preventive actions and analysis can be carried out to reduce the risk of losses due to voltage disturbances.]]>
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