Implementasi Fuzzy Sugeno Berbasis IoT untuk Monitoring Energi Listrik pada Gedung Lembaga Pelatihan Kerja Panji Sakti

Abstract

The increase in electrical energy consumption in buildings requires a monitoring system that accurately and in real time presents electricity usage information. This research aims to implement an Internet of Things (IoT)-based electrical energy monitoring system using the Zero-Order Sugeno Fuzzy method to classify the condition of electrical loads at the Panji Sakti Vocational Training Center Building. The system was developed using an ESP32 microcontroller integrated with an SCT-013 current sensor and a ZMPT101B voltage sensor. The measurement data is sent to a database and displayed through a website for real-time monitoring. Testing was conducted using 30 data samples, which were compared with the Habotest HT206D multimeter as the reference instrument. The test results showed an average error of 1.9% for voltage measurements and 2% for current measurements, with accuracy rates of 98% and 97%, respectively. Furthermore, the Zero-Order Sugeno Fuzzy method successfully classified the electrical load conditions into underload, normal, and overload categories with 100% accuracy compared to manual classification. The research results indicate that the developed system effectively monitors and classifies electrical loads to support building energy management.