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MODEL RECENCY, FREQUENCY, MONETARY (RFM) DENGAN K-MEANS CLUSTERING UNTUK SEGMENTASI PELANGGAN SEBAGAI STRATEGI PENJUALAN (STUDI KASUS: HEALTHY COKELAT BAR PT. NICHOA)

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PT Nutri Choco Nusantara or known as Nichoa is a new company focused in the healthy chocolate industry using local ingredients in Indonesia. Given the number of business competitors in the same business, company owners must be able to make efforts to prevent customer movement, because satisfied customers can provide many benefits to the company such as enabling customer loyalty. For this reason, business people in this field must have a strategy. Based on these problems, cluster techniques are used to determine the potential and characteristics of each customer in purchasing products. In this research, a combination method of RFM Model and K-Means Clustering is used to customers segmentation. The RFM model is used as a quantitative attribute for input variables. Then, K-Means is used to perform customer clustering. The K-Means Clustering method and RFM Model are implemented using the Python programming language. The results of the research after testing Elbow, Silhuoette Score, and Davies Bouldin Index (DBI) which get the results that the best cluster is 5 which will be used for the marketing strategy process. Keywords : K-Means, Clustering, RFM, Customer Segmentation.

Availability
Inventory Code Barcode Call Number Location Status
24070037472407003747T1459082024Central Library (references)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1459082024
Publisher
Indralaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Sriwijaya.,
Collation
xii, 80 hlm.; ilus.; tab.; 29 cm.
Language
Indonesia
ISBN/ISSN
-
Classification
510.285 07
Content Type
Text
Media Type
unmediated
Carrier Type
unspecified
Edition
-
Subject(s)
Jurusan Matematika
K-Means Clustering
Specific Detail Info
-
Statement of Responsibility
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No other version available

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