ANALISA PERBANDINGAN METODE FUZZY MAMDANI, SUGENO, DAN TSUKAMOTO DALAM PREDIKSI JUMLAH PENGADAAN OBAT
Total View This Week0

Institusion

Universitas Sriwijaya

Author

DONI MIKHA (STUDENT ID : 09021381419107)
Dian Palupi Rini (LECTURER ID : 0023027804)
Kanda Januar Miraswan (LECTURER ID : 0009019002)

Subject

R858-859.7 Computer applications to medicine. Medical informatics 

Datestamp

2019-09-30 03:50:14 

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% 

File :
RAMA_55201_09021381419107_0023027804_0009019002_01_front_ref.pdf
RAMA_55201_09021381419107_0023027804_0009019002_02.pdf
RAMA_55201_09021381419107_0023027804_0009019002_03.pdf
RAMA_55201_09021381419107_0023027804_0009019002_04.pdf
RAMA_55201_09021381419107_0023027804_0009019002_05.pdf
RAMA_55201_09021381419107_0023027804_0009019002_06.pdf
RAMA_55201_09021381419107_0023027804_0009019002_07_ref.pdf
RAMA_55201_09021381419107_0023027804_0009019002_08_lamp.pdf