DESIGN OF A MONITORING SYSTEM FOR CURRENT, POWER, AND ELECTRIC ENERGY CONSUMPTION OF VARIOUS ROOM COUNTERS IN AIRPORTS WITH IOT-BASED FUZZY MULTIPLE ATTRIBUTE DECISION MAKING (FMADM) METHOD
DOI:
https://doi.org/10.46491/icateas.v3i1.1902Keywords:
Fuzzy MADM, Listrik, PZEM 004T, ESP32Abstract
The use of electricity at the airport every concession / terminal tenant gets electricity supply and is directly connected to the kWh meter. Therefore, the technician checks the kWh meter to determine the amount of electricity. This research focuses on the use of kWh meters at airports to monitor energy use by consumers. This research aims to develop a system for collecting data on energy usage and usage costs, by utilizing data collected from kWh meters connected to the internet. The system includes Power Supply, LM 2596, PZEM 004T Sensor, ESP32, switches, lights, and sockets. The way it works is that the 220 volt voltage is reduced to 12 VDC by the power supply, then the LM2596 reduces it again to 5 VDC to supply the NodeMCU ESP32. The PZEM 004T sensor reads the load and sends data to the NodeMCU ESP32. The NodeMCU ESP32 processes the data and sends it to the server via internet/wifi. The data on the server is processed using the FMADM method and displayed on the web interface. Users can monitor the data by logging into the webserver via the internet network. This study concluded that the IoT-based kWh monitoring system can provide accurate and timely information about energy consumption, the toolkit with NodeMCU ESP32 and the PZEM-004T sensor works well and accurately (97.74%) so it is worth using. Categories of electricity consumption: power (low <50, moderate 50-100, high >100), energy (low<50 kWh, medium 50-150 kwh, high >150 kWh), and cost (low≤150, moderate 150-200, high>200). The use of this FMADM helps technicians and consumers monitor electricity use remotely with an accuracy rate of over 95%.