• Analysis of Estimated Electric...

Treffer: Analysis of Estimated Electricity Consumption of Medan City in 2024-2028 Using Fuzzy Mamdani Logic

Title:
Analysis of Estimated Electricity Consumption of Medan City in 2024-2028 Using Fuzzy Mamdani Logic
Authors:
Gultom, Parapat, Thianujaya, Wendy
Source:
Journal of Research in Mathematics Trends and Technology; Vol. 5 No. 1 (2023): Journal of Research in Mathematics Trends and Technology (JoRMTT); 20-30 ; 2656-1514
Publisher Information:
Talenta Publisher
Publication Year:
2023
Collection:
Talenta Publisher (E-Journals, Universitas Sumatera Utara)
Subject Terms:
Mamdani Fuzzy Logic, Fuzzy Linear Programming, Electricity Consumption, PDRB, Medan City
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
English
Relation:
https://talenta.usu.ac.id/jormtt/article/view/16869/7515; https://talenta.usu.ac.id/jormtt/article/view/16869
Availability:
https://talenta.usu.ac.id/jormtt/article/view/16869
Rights:
Copyright (c) 2023 Journal of Research in Mathematics Trends and Technology ; https://creativecommons.org/licenses/by-sa/4.0
Accession Number:
edsbas.19527DF0
Database:
BASE

Weitere Informationen

This research employs fuzzy linear programming with Mamdani fuzzy logic to predict electricity consumption in Medan City. Data from the Central Statistics Agency (BPS) for the years 2019-2023, including population, electricity customers, Gross Regional Domestic Product (PDRB), and electricity consumption, were analyzed quantitatively. Data processing involved fuzzification, rule formation, rule composition, and defuzzification, with simulations and testing conducted using MATLAB software. The research findings indicate a forecasting error rate of 1.514%, demonstrating effective performance in predicting electricity consumption. Elasticity analysis reveals that electricity consumption in Medan City is significantly influenced by PDRB, providing crucial insights for future energy planning.