Penerapan Market Basket Analysis pada Data Transaksi Online Retail Menggunakan Algoritma Apriori dan FP-Growth dengan Kerangka CRISP-DM

Alfia Budi Putro, Abiyyu; Iqbal Mustofa, Muhammad; Mirano, Nauval

INOMATEC: Jurnal Inovasi dan Kajian Multidisipliner Kontemporer · Vol. 1 No. 09 (2026)

Penerapan Market Basket Analysis pada Data Transaksi Online Retail Menggunakan Algoritma Apriori dan FP-Growth dengan Kerangka CRISP-DM

Alfia Budi Putro, Abiyyu, Iqbal Mustofa, Muhammad, Mirano, Nauval

Abstrak

This study uses Market Basket Analysis (MBA) to identify customer purchasing patterns in online retail data. Both Apriori and FP-Growth algorithms generated 218 identical association rules, but FP-Growth showed faster computational performance. The results can be applied to product bundling, cross-selling, and more effective inventory management.

Penerbit

CV. Ruang Publikasi Ilmiah

Sitasi

0 (OpenAlex)

Kata kunci

Data Mining, Customer Intelligence, Market Basket Analysis, Apriori, FP-Growth, CRISP-DM; Data Mining, Customer Intelligence, Market Basket Analysis, Apriori, FP-Growth, CRISP-DM

E-ISSN

3123-5573

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