ANALISA PERBANDINGAN FUZZY LOGIC SUGENO DAN MAMDANI UNTUK MEMPREDIKSI JUMLAH PRODUKSI AIR MINUM DALAM KEMASAN BERDASARKAN DATA PERSEDIAAN DAN PERMINTAAN

PRATIWI, YUNIAR and Utami, Alvi Syahrini and Miraswan, Kanda Januar (2023) ANALISA PERBANDINGAN FUZZY LOGIC SUGENO DAN MAMDANI UNTUK MEMPREDIKSI JUMLAH PRODUKSI AIR MINUM DALAM KEMASAN BERDASARKAN DATA PERSEDIAAN DAN PERMINTAAN. Undergraduate thesis, Sriwijya University.

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Abstract

Bottled drinking water (AMDK) is drinking water that is ready for consumption without having to go through the heating process first and its practical use, so now many people choose to use AMDK which makes the amount of AMDK production increase. The amount of bottled water production needs to be planned appropriately because it can affect the level of sales and market demand. To plan the amount of AMDK production in the future is not easy because of the uncertainty of the existing factors. Therefore, a system is needed that can predict the amount of AMDK production in the future to make it easier for companies to make decisions. In this study, the amount of production will be predicted and compared the results using Sugeno and Mamdani methods. In the context of consistent and measurable production quantity prediction sugeno and mamdani methods are more commonly used and easier to understand and apply. Predictions were made based on 87 data that have been obtained. From the results of comparative analysis conducted MAPE results obtained by 43.66% for sugeno method and 32.5% for mamdani method. As for MAE results obtained 36650.14 for sugeno method, and 42060.06 for mamdani.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	AMDK, production amount, prediction, Sugeno method, Mamdani method, MAPE, and MAE
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA9.64.A56 Computer science. Fuzzy mathematics.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	yuniar07 yuniar yuniar
Date Deposited:	10 Jul 2023 05:07
Last Modified:	10 Jul 2023 05:07
URI:	http://repository.unsri.ac.id/id/eprint/114993

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