Agglomerative Hierarchical Clustering (AHC) Method for Data Mining Sales Product Clustering

Supermarkets are Indonesian terms that refer to large stores or supermarkets offer a variety of daily needs such as food, drinks, cleaning products, household appliances, clothing, and so on. In contrast stalls small shops, have larger size provide products. Because this, many people prefer shop for their at the supermarket rather than nearest because existence makes it easier consumers buy various products in one place without having move another store. However, sales also pose problem, namely how sort group not selling well they can be replaced with better reduce number suppliers. This is where data mining analysis techniques use business intelligence needed. The research was conducted classify best-selling using Agglomerative Hierarchical Clustering (AHC) method, which alternatives same matrix distance grouped into certain clusters. applying AHC clusters formed 3. There three different clusters, cluster 0, 1, 2, each alternative group. Each has percentage. Cluster 0 highest largest percentage, 45% total 9 followed by 1 smallest 0.30% 6 .25% 5 addition, several month based on price ranges