Open AccessIMPLEMENTASI ALGORITMA APRIORI DALAM MENENTUKAN PERSEDIAAN OBAT
Author(s) -
Gusti Ahmad Syaripudin,
Edi Faizal
Publication year - 2017
Publication title -
jiko (jurnal informatika dan komputer)
Language(s) - English
Resource type - Journals
ISSN - 2477-3964
DOI - 10.26798/jiko.2017.v2i1.56
Subject(s) - apriori algorithm , computer science , java , association rule learning , data mining , affinity analysis , database transaction , a priori and a posteriori , database , set (abstract data type) , java programming language , programming language , philosophy , epistemology
Computer-based transaction resulting in the accumulation of data in the database of an application. The data can be reprocessed to obtain important information. Data mining can be used to obtain valuable information for management purposes. The technique can be used are the rules of the association. One type of association rules is a priori algorithm. Application of a priori algorithm has been done in the analysis of sales. The research will be applied to the application pharmacies RMC. The programming language used for the algorithm implementation language is Java with Netbeans Platform 7.4 .DBMS used is MySQL. The test results showed a priori algorithm can be used to identify drugs that may be purchased in conjunction with other drugs, as well as showing the drug most widely sold and least by the set of combinations of items. Such recommendations can be used for management in determining drug supply and design marketing strategies quickly, accurately and efficiently.Keywords: java, apriori algorithm, netbeans, MySQL