Kajian Data Mining Customer Relationship Management pada Lembaga Keuangan Mikro

*Tikaridha Hardiani -  Universitas Gadjah Mada Yogyakarta, Indonesia
Selo Sulistyo -  Universitas Gadjah Mada Yogyakarta, Indonesia
Rudy Hartanto -  Universitas Gadjah Mada Yogyakarta
Published: 3 Dec 2014.
Open Access
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Section: Review Article
Language: EN
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Abstract

Companies are required to be ready to face the competition will be intense with other companies, including micro-finance institutions. Faced more intense competition, has led to many businesses in microfinance institutions find profitable strategy to distinguish from the others. Strategy that can be applied is implementing Customer Relationship Management (CRM) and data mining. Data mining can be used to microfinance institutions that have a large enough data. Determine the potential customers with customer segmentation can help the decision-making marketing strategy that will be implemented . This paper discusses several data mining techniques that can be used for customer segmentation. Proposed method of data mining technique is fuzzy clustering with fuzzy C-Means algorithm and fuzzy RFM.

Keywords : Customer relationship management; Data mining; Fuzzy clustering; Micro-finance institutions; Fuzzy C-Means; Fuzzy RFM

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