IMPLEMENTASI DATA MINING DALAM MENENTUKAN POLA PEMBELIAN OBAT DENGAN METODE ALGORITMA APRIORI

METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi

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Title IMPLEMENTASI DATA MINING DALAM MENENTUKAN POLA PEMBELIAN OBAT DENGAN METODE ALGORITMA APRIORI
 
Creator Safii, Muhammad
Trydillah, Alrizca
 
Description Data mining is the process to obtain useful information from the warehouse database in the form of science. This study analyzes the data by using data mining algorithms and methods appriori. The system is built is intended for fulfillment in determining the pattern of drug purchases by using Visual Basic 6.0 programming language and MySQL database on a case study in the health sector. The system is built based on the needs of users obtained through interviews and field studies. System development methodology used is the waterfall method which consists Analysis, Design, Coding and Testing. Test results with a priori algorithms and systems built show results that have met the requirements in determining the pattern of drug purchases by the tendency of drug purchases by customers. Compared with the current system performance information is shown on the effectiveness of the system of determining the pattern of drug purchases for the availability of drugs and drug layout for ease in knowing where drugs are viewed from 2 itemset drug.
 
Publisher Universitas Methodist Indonesia
 
Date 2019-04-07
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier http://methomika.net/index.php/jmika/article/view/59
 
Source METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi; Vol 3 No 1 (2019): METHOMIKA: Jurnal Manajemen Informatika dan Komputerisasi Akuntansi; 66-71
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi; Vol 3 No 1 (2019): METHOMIKA: Jurnal Manajemen Informatika dan Komputerisasi Akuntansi; 66-71
2620-4339
2598-8565
 
Language ind
 
Relation http://methomika.net/index.php/jmika/article/view/59/58
 
Rights Copyright (c) 2019 D3 MIKA Universitas Methodist Indonesia
 

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