Clustering Data Penjualan Toko XYZ Menggunakan Metode K-Means

Sales, A Process Involving Sellers Offering Goods Or Services To Buyers With The Objective Of Profiting From The Transaction, Is A Pivotal Activity In Business. Xyz Store, A Micro, Small, And Medium Enterprise (Msme) Specializing In Children’s Clothing Sales, Has Been Operational Since 2009. Transactions Can Be Conducted Online, Enabling Buyers To Shop Without The Need To Visit The Physical Store. However, Xyz Store Faces A Challenge In Stock Management, Specifically The Mismatch Between Demand And Product Availability, Leading To An Accumulation Of Less Popular Items. By Understanding Sales Trends, Xyz Store Can Optimize Their Stock Management, Either By Curtailing The Purchase Of Stocks For Less Sold Items Or By Substituting Less Popular Items With New Ones That May Be More Appealing To Potential Buyers. Through The Evaluation Stage In The Kdd Method, It Was Determined That The Optimal Number Of Clusters In This Study Is Three, With An Evaluation Result Of 0.5063460425226173. These Three Clusters Were Identified As Less Popular Items, Moderately Popular Items, And Very Popular Items. Cluster 1, Deemed Less Popular, Comprises 84 Items. Cluster 2, Which Is Moderately Popular, Includes 12 Items. Meanwhile, Cluster 3, Identified As Very Popular, Contains Only 4 Items. This Study Provides Valuable Insights Into Sales Strategies And Stock Management At Xyz Store For Enhancing Efficiency And Sales.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-30
DOI
https://doi.org/10.5281/zenodo.14586667
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
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article

Clustering Data Penjualan Toko XYZ Menggunakan Metode K-Means

Zenodo (CERN European Organization for Nuclear Research)
Data Mining and Machine Learning Applications
article

Clustering Data Penjualan Toko XYZ Menggunakan Metode K-Means

article en

Abstract

Sales, A Process Involving Sellers Offering Goods Or Services To Buyers With The Objective Of Profiting From The Transaction, Is A Pivotal Activity In Business. Xyz Store, A Micro, Small, And Medium Enterprise (Msme) Specializing In Children’s Clothing Sales, Has Been Operational Since 2009. Transactions Can Be Conducted Online, Enabling Buyers To Shop Without The Need To Visit The Physical Store. However, Xyz Store Faces A Challenge In Stock Management, Specifically The Mismatch Between Demand And Product Availability, Leading To An Accumulation Of Less Popular Items. By Understanding Sales Trends, Xyz Store Can Optimize Their Stock Management, Either By Curtailing The Purchase Of Stocks For Less Sold Items Or By Substituting Less Popular Items With New Ones That May Be More Appealing To Potential Buyers. Through The Evaluation Stage In The Kdd Method, It Was Determined That The Optimal Number Of Clusters In This Study Is Three, With An Evaluation Result Of 0.5063460425226173. These Three Clusters Were Identified As Less Popular Items, Moderately Popular Items, And Very Popular Items. Cluster 1, Deemed Less Popular, Comprises 84 Items. Cluster 2, Which Is Moderately Popular, Includes 12 Items. Meanwhile, Cluster 3, Identified As Very Popular, Contains Only 4 Items. This Study Provides Valuable Insights Into Sales Strategies And Stock Management At Xyz Store For Enhancing Efficiency And Sales.

Zenodo (CERN European Organization for Nuclear Research)
University of Singaperbangsa Karawang (ID)
Openalex Percentile: Top 35%
Data Mining and Machine Learning Applications
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Clustering Data Penjualan Toko XYZ Menggunakan Metode K-Means · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS