Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Media Infotama
Pratama, Asyraf Muntasir
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementasi Data Mining Untuk Analisis Prilaku Konsumen Dalam Meningkatkan Penjualan Di Shopee Pratama, Asyraf Muntasir; Siswanto, Siswanto; Zulfiandry, Ricky
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9388

Abstract

The rapid growth of e-commerce requires an in-depth understanding of consumer behavior to increase sales. This research applies a data mining method using the K-Means clustering algorithm to analyze weekly revenue data from the Anjani_Store.id store on the Shopee platform, in the period from January to July 2023. The research uses a waterfall approach and is implemented through the Python programming language with the Flask framework. The clustering results produce three groups of consumer behavior based on income levels: low, medium, and high. Clusters are analyzed to support promotional strategies and business decision making. This system was tested and showed that the application of the K-Means method was effective in grouping consumers appropriately and supporting increased sales based on data analysis
Co-Authors S Siswanto Zulfiandry, Ricky