Sistem Market Basket untuk Menentukan Tata Letak Produk pada suatu Swalayan Menggunakan Algoritma K-Means Clustering
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Institusion

Universitas Sumatera Utara

Author

Sebayang, Steffi Andina (STUDENT ID : 071402041)
(LECTURER ID : 0026106209)
(LECTURER ID : 0020056004)

Subject

product layout 

Datestamp

2022-12-14 03:14:51 

Abstract :
Determination of the products on supermarket layout is an important thing that must be considered by the management department. Market Basket Analysis is one technique on Data Mining that is used to discover patterns of the products often purchased together in a transaction. In this research we applied market basket analysis with k-means clustering algorithm based on consumer shopping habits to produce a model of the product layout. Data on the research were taken from structural groceries on supermarket receipts. K-means clustering algorithm is used to partition the data into clusters so that the data that has same characteristics are grouped into the same cluster and the data that has different characteristics are grouped into other groups. Result of this research produce a model of a product layout that can be used by the management department.