Analisis asosiasi hasil penilaian kriteria komponen fisik adipura

Abstract

Adipura is a government program that aims to achieve clean and green cities in Indonesia. It is an annual program that results in a lot of data. Data mining is the process of extracting previously unknown information from a large amount of data. One of the techniques in data mining is association rule, i.e., a technique to discover the relationships among itemsets. Association rule correlates itemsets grouped into transactions and then draws conclusions based on relationships formed from a large itemset. In this study, association rule was applied in the physical component criteria in Adipura program. The aim of this study is to give some considerations for developing the next Adipura program. The considerations can be used to determine the weight of assessment component in order to get a better criterion. This study used the combination of minimum support (minsup) of 50% and 40% and minimum confidence (minconf) of 90%, 80%, and 70%. The result shows that the highest value is established by the occurence of hospital/health center together with the occurence of office by minsup 50.78% and minconf 89.55%. The smallest association value is established by the occurence of forest city together with the occurence of office and hospital/health center by minsup 40.31% and minconf 70.13%.