IMPLEMENTASI ASOSIASI APRIORI UNTUK MENENTUKAN POLA KOMBINASI RESEP OBAT
No Thumbnail Available
Date
2022-07
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elfitra
Abstract
Mercy Clinic is one of the health services in Pekanbaru which has a lot of transaction
data on patient prescription drugs. Because the number of transactions that occurred
everyday causes the accumulation of data. Therefore, the data is better processed to
improved sales strategy. The association rule mining method is used to found
associative rules or the relationship of certain things between a combination of items,
which later aims to found out the pattern of combinations of prescription drugs that
often appeared used the apriori algorithm. This system is designed used UML, made the
system used the PHP programming language and database. This research was conducted
on 1,302 transaction data in April-May 2021 with a minimum support parameter of 7%
and a minimum confidence of 20%. This study resulted in four association rules with a
combination of items up to 2-itemset.
Description
Keywords
Apriori Algorithms, Association Rule Mining and Medical Prescription
Citation
Perpustakaan