Classification of Sachet Beverage Products Based on Sales Data with Using the K-Means Clustering Method

Main Article Content

Eko Afrianto
Iqbal Sabillirasyad
Hayatul Maspufah

Abstract

Sachet drinks are one of the popular products in Indonesia, especially among urban communities who are looking for convenience in consumption. With increasing amount products circulating in the market, classification product based on sales data become important for understand preference consumers and effective marketing strategies. Research This aim for classify product sachet drinks using K-Means Clustering method, which is technique data analysis that can grouping data based on similarities characteristics. Through analysis this, it is hoped can obtained more insight​ in about trend sales and preferences consumers, as well as help manufacturer in take more decisions​ appropriate.


 


Keywords: Classification, Products Sachet Drinks, K-Means Clustering Method

Article Details

Section
Articles