Implementation of Data Mining Sales of Milk Using the Apriori Algorithm Method
J C Wibawa (a*) , K R Dewi (b)
a) Departemen Sistem Informasi, Universitas Komputer Indonesia
b) Departemen Sistem Informasi, Universitas Komputer Indonesia
kikirahmawatid[at]mahasiswa.unikom.ac.id
Abstract
The purpose of this research is to find out the items that consumers often buy. The method used in this research is deskriptif. The results of this research was to identify the extent of the relationship between one item and another item, and to know the pattern of consumer buying interest in the items purchased. This research was conducted by discussing a combination of items that meet the minimum requirements of the value of support and the formation of association rules that meet the minimum requirements for trust. This research concludes that using the association rule method can help in making decisions about sales strategies. The apriori algorithm used in this research aims to provide useful information to determine the pattern of buying milk by buyers with dissimilar types of milk. Association rules are used to find the relationship between item one and alternative item based on different types of milk.
Keywords: Application Data Mining, Apriori Algorithm
Topic: Entrepreneurship & Technopreneurs