SEGMENTASI PELANGGAN DENGAN METODE K-MEANS PADA GRAPARI TELKOM GROUP PALEMBANG
Daftar Isi:
- The telecommunications provider company is one of the companies that is required to establish relationships with customers by providing the best quality of services and facilities offered and must be able to master information about customer needs and behavior to ensure the value of each customer. Customer segmentation with RFM Models (Recency, Frequency, Monetary) is used to identify customers who generate profits for the company. The suitable technique in determining customer segments is clustering with K-Means algorithm. The CRISP-DM method in developing data mining is used to overcome the problems encountered. The application of RFM model analysis and K-Means algorithm produces 3 segments which show that each segment is categorized as new customer, temporary customer, and best customer. After the customer segments is formed, company leaders get basic information about customer behavior so that appropriate business strategies can be applied in the future.