Prototype Of an IoT-Based Generator Fuel Level Monitoring and Control System at The Electricity Unit of PERUM LPPNPI JATSC Branch

Abstract

Generators are a critical backup power source for maintaining operational continuity in various sectors.
However, manually monitoring the fuel level of a generator results in a lack of efficiency and can lead to delays in
refueling, even leading to sudden fuel outages. This situation can affect the availability of backup power when needed.
Therefore, this study aims to design and implement an Internet of Things (IoT)-based fuel level monitoring system that
can monitor directly, provide automatic notifications when the fuel level is low, and control the fuel filling pump
automatically. The development method chosen is the Waterfall model, which includes the stages of analysis, design,
implementation, and system testing. The hardware used includes a NodeMCU ESP32 as a microcontroller, a HY-SRF05
ultrasonic sensor to detect fuel level, a relay for DC pump control, and a buzzer as an alarm signal. All data is sent
directly to the Blynk application as a monitoring medium. Test results show that the system can read fuel level with an
error rate between 0.01% and 3%, while the conversion into liters shows a maximum deviation of 2.6%. This system
also successfully controls pumps and alarms automatically according to existing logic. Thus, this system can improve
efficiency and accuracy in generator fuel monitoring.