Household Electricity Consumption Efficiency Prediction System Using Fuzzy Logic
Sistem Prediksi Efisiensi Konsumsi Listrik Konsumsi Listrik Rumah Tangga Dengan Fuzzy Logic
DOI:
https://doi.org/10.21070/ups.9625Keywords:
Household Electricity Consumption, Mamdani Fuzzy Logic, Energy EfficiencyAbstract
The increase in household electricity consumption in Indonesia poses a major challenge to efficient and sustainable energy management. This research aims to develop a household electricity consumption status prediction system based on Mamdani fuzzy logic using the Python programming language. The system was designed to classify electricity usage into “efficient” or “inefficient” categories based on three main input variables: electrical power, usage duration, and number of electronic devices. The design process included fuzzification, rule base construction, Mamdani inference, and defuzzification, with the final results integrated into Google Sheets. System validation was performed by comparing 55 predicted results to actual labeled data. Performance evaluation using confusion matrix analysis showed an overall accuracy of 80% (44 out of 55 data) and a Mean Squared Error (MSE) value of 0.20.
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