ANALISA PERBANDINGAN METODE FUZZY MAMDANI, SUGENO, DAN TSUKAMOTO DALAM PREDIKSI JUMLAH PENGADAAN OBAT

MIKHA, DONI and Rini, Dian Palupi and Miraswan, Kanda Januar (2018) ANALISA PERBANDINGAN METODE FUZZY MAMDANI, SUGENO, DAN TSUKAMOTO DALAM PREDIKSI JUMLAH PENGADAAN OBAT. Undergraduate thesis, Sriwijaya University.

Preview	Text RAMA_55201_09021381419107_0023027804_0009019002_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_55201_09021381419107_0023027804_0009019002_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (881kB) | Request a copy
	Text RAMA_55201_09021381419107_0023027804_0009019002_03.pdf - Accepted Version Restricted to Repository staff only Download (831kB) | Request a copy
	Text RAMA_55201_09021381419107_0023027804_0009019002_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_55201_09021381419107_0023027804_0009019002_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (390kB) | Request a copy
	Text RAMA_55201_09021381419107_0023027804_0009019002_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (10kB) | Request a copy
	Text RAMA_55201_09021381419107_0023027804_0009019002_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (395kB) | Request a copy
	Text RAMA_55201_09021381419107_0023027804_0009019002_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (920kB) | Request a copy

Abstract

Fuzzy logic is one method for analyzing systems that contain uncertainty. In this study the Mamdani method, Ssugeno method, and Tsukamoto method was used to predict the amount of drug procurement. Prediction of the drug amount of procurement carried out by using three variables, namely sales, inventory and procurement. Variable sales consists of five fuzzy sets, namely: very down, down, normal, up, and very up, variable inventory consists of five fuzzy sets, namely: very little, little, normal, lot, and very lot, while procurement is made up of five variable fuzzy set, which very decreases, decreases, normal, increases, and very increases. By combining all these fuzzy sets, obtained 25 fuzzy rules, which is then used in each inference. Analysis using the Mamdani method, Sugeno method, Tsukamoto method on 100 drug data, produces Sugeno fuzzy that is has good forecasting capabilities, with MAPE value 10.633673%. MAPE Mamdani is 22,968618%, and Tsukamoto's MAPE is 12.306409%

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Prediction, Drug, Fuzzy, Mamdani Method, Sugeno Method, Tsukamoto Method, MAPE
Subjects:	R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	30 Sep 2019 03:50
Last Modified:	30 Sep 2019 03:50
URI:	http://repository.unsri.ac.id/id/eprint/9559

Actions (login required)

View Item