Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Informatika
Galir, Jakti
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Analisis Pola Transaksi Penjualan Obat Menggunakan Algoritma Apriori Galir, Jakti; apsiswanto, Untoro
Jurnal Informatika Vol 26 No 1 (2026): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract — This study aims to analyze drug transaction patterns using association rule mining on pharmacy sales data at Prima Medika Pharmacy, Metro City. The dataset consists of 663 transactions collected from January to February 2026. The research process includes data selection, data cleaning, and data transformation as preprocessing steps. The implementation was carried out using RapidMiner with the FP-Growth operator for generating frequent itemsets and the Create Association Rules operator for producing association rules. The minimum support and minimum confidence thresholds were set to 0.005 and 0.3, respectively. The results show various association patterns between drugs based on support, confidence, and lift values, where some rules exhibit high confidence but are supported by a small number of transactions, requiring careful interpretation. This study provides insights into purchasing patterns that can support inventory management and pharmacy service planning.   Key words — Apriori algorithm, association rule, data mining, medicine sales transaction, purchase pattern.
Co-Authors Apsiswanto, Untoro