PENERAPAN METODE FUZZY SUGENO UNTUK MENENTUKAN HARGA JUAL SEPEDA MOTOR BEKAS
ABSTRACT: Fuzzy logic is a way
to map an input space into an output space. The basic of fuzzy logic is fuzzy
set theory. In the fuzzy set theory, the role of membership degree is important
to determine the presence of elements in a set. Membership degree is the
fundamental feature of reasoning in fuzzy logic. There are several methods that
are often used in solving fuzzy inference system, one of them is fuzzy Sugeno method.
The aim of this research is applications of fuzzy methods is to forecast to
determine the selling price of used motorcycles. In determining the selling
price of used motorcycles, there are several things that need to be considered,
namely : the production year of the motorcycles, the physical condition of the
motorcycles, the origin of the license plates, and the purchase price of the motorcycles.
The calculation can be done by using Matlab program. The result obtained were
then tested using the Mean Absolute Percentage Error (MAPE) by calculating
difference between theselling price of dealer minus the selling price of fuzzy
Sugeno then divided by the selling price of dealer. From the test result, MAPE
value obtained was 5,64% . This indicates that error rate below 10%, so we can
say the result of these calculation is considerably accurate.
Penulis: Ami Hilda Agustin
Kode Jurnal: jpmatematikadd160165
