Analisis Terhadap Data Transaksi Indomaret Menggunakan Algoritma FP-Growth

Abstract-Obtain profit is main purpose in company. In achieving purpose, sales can be process to achieving the
purpose. Getting longer transaction data will continuous to increased and can utilized tobe information sales
promotion support. Purpose of this research is determine consumer purchase pattern using FP-Growth algorithm
with Candi Sewu street Indomaret sales transaction data. FP-Growth algorithm eventually will generate support
and confidence which can be information to determine most optimal product combination and promote consumer
rarely bought product. Used tools for find frequent itemset an association rules in this research is Rapidminer.
Result from association rules in this research is obatained 4 association rules with smallest support and confidence
that is [Maybeline] --> [Suki Onigiri], [Maybeline] --> [Bayclin], [Maybeline] --> [Moko-Moko] dan [Maybeline]
--> [Close Up]. Result from this research eventually can be decision reference to promote consumer rarely bought
product.