KEEFEKTIFAN METODE LOGIKA FUZZY MAMDANI DAN LOGIKA FUZZY TAKAGI – SUGENO DALAM MELAKUKAN LOAD FORECASTING PADA BEBAN PUNCAK DI KOTA SUMEDANG

Aprilia, Atika Putri (2024) KEEFEKTIFAN METODE LOGIKA FUZZY MAMDANI DAN LOGIKA FUZZY TAKAGI – SUGENO DALAM MELAKUKAN LOAD FORECASTING PADA BEBAN PUNCAK DI KOTA SUMEDANG. S1 thesis, Universitas PGRI Madiun.

	Text Halaman Depan.pdf Download (751kB)
	Text Abstrak.pdf Download (112kB)
	Text Bab 1.pdf Download (80kB)
	Text bab 2.pdf Download (320kB)
	Text bab 3.pdf Restricted to Repository staff only Download (105kB)
	Text bab 4.pdf Restricted to Repository staff only Download (663kB)
	Text bab 5.pdf Download (74kB)
	Text daftar pustaka.pdf Download (183kB)
	Text lampiran.pdf Download (557kB)

Abstract

The increase in peak electricity demand in Sumedang City, West Java, is caused by population growth, economic activity escalation, and changes in energy consumption patterns. These factors lead to increased electricity demand, which can affect the reliability of the power system. Therefore, it is important to forecast electricity load to anticipate future electricity needs. Electricity load forecasting using fuzzy logic methods, particularly fuzzy Mamdani and fuzzy Takagi Sugeno, can address data uncertainty and provide accurate results. This research aims to analyze peak load forecasting in Sumedang City by comparing the fuzzy Mamdani and fuzzy Takagi Sugeno methods. The study finds that fuzzy Takagi Sugeno outperforms fuzzy Mamdani and mathematical calculations in terms of forecast accuracy. Fuzzy Takagi Sugeno's forecasts are more consistent and closer to actual values across most load categories. The Mean Absolute Percentage Error (MAPE) of 0.1356 for fuzzy Mamdani and 0.1362 for fuzzy Takagi Sugeno indicates an average error rate of about 13.56% and 13.62%, respectively, reflecting adequate performance. In conclusion, while fuzzy Mamdani yields better results and retains relevance in mathematical calculations, fuzzy Takagi Sugeno overall provides higher accuracy and efficiency. For applications requiring high precision and reliable results, the fuzzy Takagi Sugeno method is recommended, whereas fuzzy Mamdani can be used when a clear understanding of linguistic rules is prioritized.

Item Type:	Thesis/Skripsi/Tugas Akhir (S1)
Kata Kunci:	Load Forecasting; Fuzzy Mamdani; Fuzzy Takagi Sugeno; Matlab; MAPE
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Fakultas Teknik > Teknik Elektro
Depositing User:	APRILIA PUTRI ATIKA
Date Deposited:	13 Aug 2024 02:26
Last Modified:	13 Aug 2024 02:26
URI:	http://eprint.unipma.ac.id/id/eprint/1571

Actions (login required)

View Item