Income : Digital Business Journal
Vol. 1 No. 2 (2023)

Analisis Pola Pembelian dan Penjualan Bisnis Menggunakan Algoritma Apriori dalam Studi Market Basket: Analisis Pola Pembelian dan Penjualan Bisnis Menggunakan Algoritma Apriori dalam Studi Market Basket

kayohana, ketut widya (Unknown)
Samudra, M Danang (Unknown)
Febiyanti, Ni Luh Putu (Unknown)
Fujiastuti, Eka (Unknown)
dewani, Ni komang (Unknown)



Article Info

Publish Date
31 Jul 2023

Abstract

Using the Apriori Algorima to helps optimize product placement, increase cross-selling opportunities, and improve inventory management and promotions. In-depth insights into purchase patterns can enhance sales, customer satisfaction, and operational efficiency. Enhancing cross-selling strategies: By understanding associations between items purchased together, this research provides insights for improving cross-selling strategies. Businesses can offer relevant product recommendations, whether through in-store placement or online suggestions, to boost sales and enhance the shopping experience. The Apriori method and algorithm are used in analyzing the buying and selling of market baskets. The research findings revealed a significant association between customers who purchase Bread and Coffee together. Support "toast" and "coffee" is 0.023666, which means that 2.3666% of the total 30 transactions includes both itemsets, confidence "toast → coffee" is 0.704403, which means that if customers buy "toast", chances are they also buy "coffee" by 70.4403%, lift "toast → coffee" is 1.472431, which shows that the probability of buying "coffee" increases by 1.472431 times if the customer also buys "toast. This presents an opportunity for businesses to improve sales through strategic product placement, promotions or special offers involving the combination of Bread and Coffee, and optimizing inventory to meet the demand of customers who tend to purchase both items simultaneously

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Journal Info

Abbrev

income

Publisher

Subject

Economics, Econometrics & Finance

Description

INCOME merupakan jurnal milik Universitas Bumigora dari prodi Bisnis Digital (e-ISSN: 2985-8348). Jurnal Income merupakan wadah bagi para peneliti untuk publikasi karya ilmiah mengenai Manajemen Bisnis, Literasi Keuangan Digital, Sistem Informasi, Pemasaran dan Pemograman. Income sebagai wadah ...