CD Skripsi
Perbandingan Pola Pembelian Obat Pada Apotek Asmawati Antara Metode Apriori Dan Metode FP Growth
ABSTRACK
In today's digital era, companies are leveraging data with data mining techniques to uncover patterns and important information. This study produces two data mining methods, Apriori and FP-Growth, for drug purchasing pattern analysis. Although FP-Growth is often more efficient, Apriori can provide competitive results in small datasets. Purchasing pattern analysis has strategic value for pharmacies and drug manufacturers, providing insights for stock management and business planning. Previous studies have shown the success of this algorithm in improving sales patterns, thus encouraging the need for the development of web-based applications to maximize the use of data mining in the pharmaceutical sector.
Keyword: Data Mining, Apriori, FP-Growth, Pharmacy, Analysis, Pattern, Association
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