IMPLEMENTASI METODE FUZZY SUGENO DAN K-MEANS UNTUK PENGUKURAN ETIKA BISNIS DALAM ISLAM

Leno Asman, Hartatik
UNIVERSITAS AMIKOM YOGYAKARTA.2018

A B S T R A C T

Businesesss that allowed in Indonesia with majority people’s religion is Islam are “halal” and blessed. However, the fact that there are still many business people in Indonesia who have not paid attention to ethical values in the implementation that makes the occurrence of irregularities in business. Thus, ethical measuring tools or business actors are required from the manual system as previously researched to facilitate the measurement more accurately by using artificial intelligence.

One branch of artificial intelligence is an expert system. Expert systems can make a person who does not understand to be able to know a result, such as the result of business ethics in Islam, one of them by using Fuzzy logic. Fuzzy method used is fuzzy method is fuzzy sugeno which has advantages rather than pure fuzzy that adds a simple mathematical calculation as part of THEN.

This research was conducted to implement K-means method in classifying business ethical level in Islam that will be used in Output rule Fuzzy Sugeno and Fuzzy Sugeno Method as a rulebase in measuring business ethical level in Islam. So that every businessman can measure for themselves how good the level of business they are running in the view of Islam. The test results show that K-Means method is able to form fuzzy sugeno set, and system can give result of ethics level of business in islam with system testing which get equal to 95,46% for accuracy, 95% for the average of precision level and 96 , 87% for recall rate using Confusion Matrix method.

Keywords: Artificial Intelligence, Expert System, Fuzzy Sugeno, Islamic business ethics

CategoryUndergraduate Thesis
Posted Date29 Maret 2018
Modified Date29 Maret 2018
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