<![CDATA[The growth of coffee industry has increased the demand for coffee beans in the domestic markets, and this attracts more entrepreneurs to engage in coffee beans supply business. However, as the competition in this business escalates, more entrepreneurs have to vie for their market shares, requiring them to consider the correct customer segmentation and marketing strategies. B2B coffee beans supply business is more difficult that the B2C as the former involves transactions between companies. Therefore, customer segmentation can help companies manage their resources more efficiently. One of the market customer segmentation methods that can be used is the K-means clustering. It enables data analysis through data groupings into several kinds based on characteristic similarities. The B2B market segmentations can be based on purchase behaviors, which are identifiable from the use of RFM (recency, frequency, monetary) model. This replication study uses the quantitative approach. It uses primary data consisting the transactions of CV Ijen Nusantara with customers from the Greater Malang during the last 12 months. Using K-means clustering, 87 customers from 314 were grouped. The results are three optimum market clusters with different characteristics. The implication of this study is expected provide inputs for CV Ijen Nusantara and for future research.]]>
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