SEGMENTASI PELANGGAN DENGAN METODE K-MEANS PADA GRAPARI TELKOM GROUP PALEMBANG

DIANDRA, NADHIRA AMALIA and Fathoni, Fathoni (2019) SEGMENTASI PELANGGAN DENGAN METODE K-MEANS PADA GRAPARI TELKOM GROUP PALEMBANG. Undergraduate thesis, Sriwijaya University.

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Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Segmentasi Pelanggan, Model RFM, K-Means Clustering, CRISP-DM, Data Mining, Customer Relationship Management
Subjects:	T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.6 General works Industrial engineering Information technology. Information systems (General) Management information systems -- Continued
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Users 4035 not found.
Date Deposited:	10 Jan 2020 08:46
Last Modified:	10 Jan 2020 08:46
URI:	http://repository.unsri.ac.id/id/eprint/23646

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