Jurnal Riset Informatika
Vol. 4 No. 4 (2022): September 2022

SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM

Samuel Samuel (Sekolah Tinggi Manajemen dan Ilmu Komputer Widuri)
Asrul Sani (Sekolah Tinggi Manajemen dan Ilmu Komputer Widuri)
Agus Budiyantara (Sekolah Tinggi Manajemen dan Ilmu Komputer Widuri)
Merliani Ivone S (STISIP Widuri)
Frieyadie Frieyadie (Universitas Nusa Mandiri)



Article Info

Publish Date
24 Sep 2022

Abstract

The company does not yet know the pattern of consumer purchases because, so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. The problems on the company, this research was done to reprocess sales transaction data for 2018-2019 using data mining techniques with association methods and apriori algorithms. RapidMiner is a supporting application to find association rules derived from transaction data. Processed transaction data using the Knowledge Discovery in Database approach. Thus, the company can determine consumer habits in buying goods from sales transaction data for 2018-2019. The results of this study are that in 2018, nine association rules were obtained, of which the best were CT G-246 ⇒ CT G-250 and CT G-250 ⇒ CT G-246. In 2019, nineteen association rules were received, of which the best were PN 0441, SK 0175 ⇒ SK 0530, and SK 0175, SK 0283, ⇒ SK 0530. From the best association rules, the goods in the Coat (imported), Pants, and Skirt categories are often bought together.

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Journal Info

Abbrev

jri

Publisher

Subject

Computer Science & IT

Description

Jurnal Riset Informatika, merupakan Jurnal yang diterbitkan oleh Kresnamedia Publisher. Jurnal Riset Informatika, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh peneliti dan dosen-dosen program studi Sistem Informasi dan Teknik ...