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All Journal Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
Alif Bayu Ammarizky
Universitas Pembangunan Nasional "Veteran" Jawa Timur
Humanities Economics, Econometrics & Finance Education Social Sciences Other

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Analisis Perbandingan Metode Fuzzy Mamdani dan Tsukamoto dalam Prediksi Estimasi Konsumsi Listrik Aldito Restu Wintama; Alif Bayu Ammarizky; Muhammad Lizamul Arsi; Anggraini Puspita Sari
MISTER: Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 1 No. 3c (2024): JULI (Tambahan)
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v1i3c.2019

Abstract

This study aims to compare the Fuzzy Mamdani and Tsukamoto methods in estimating electricity consumption in Romania during the period 2019-2024. Daily electricity consumption data were obtained from the Kaggle dataset, which records electricity production and consumption based on energy source types. The Mamdani method employs triangular membership functions to define rules and provides output in the form of membership degrees for low, medium, and high efficiency levels. On the other hand, the Tsukamoto method utilizes a linear membership function-based approach to compute output based on direct correlations between input variables and output. Comparative analysis reveals differences in the accuracy and sensitivity of both methods to variations in electricity consumption data. The findings highlight the strengths and weaknesses of each method in the context of complex electricity consumption predictions.
Co-Authors Aldito Restu Wintama Anggraini Puspita Sari Muhammad Lizamul Arsi