IMPLEMENTASI ALGORITMA APRIORI DALAM MENENTUKAN POLA PEMBELIAN OBAT PADA APOTEK SETIA FARMA

Abstract

This journal discusses the implementation of the Apriori algorithm as an analytical method in determining drug purchasing patterns at the Setia Farma Pharmacy. The main objective of this research is to identify the most common drug purchasing patterns in these pharmacies, with the hope of providing useful insights for pharmacy management in stock planning and product promotion. This research uses historical data on drug purchase transactions from the Setia Farma Pharmacy during April-June 2022. The research methodology involves several steps, including collecting transaction data, pre-processing the data to eliminate irrelevant or duplicate data, and implementing the Apriori algorithm to identify purchasing patterns significant. The analysis results from data mining using the a priori algorithm in this research are with a minimum support value of 15% and a confidence value of 30%. By building this system, it can help Setia Farma Pharmacy in making strategic decisions regarding stock management, product arrangement within the pharmacy, as well as more effective promotions. It is hoped that the results of this research will contribute to the understanding of customer purchasing behavior at the Setia Farma Pharmacy and provide a basis for improvements in stock management and marketing of medicines at the pharmacy.