Zahrotun, Lisna (2017) Implementation of Data mining Technique for Customer Relationship Management (CRM) on Online Shop Tokodiapers.com With Fuzzy C-Means Clustering. [Artikel Dosen]
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Implementation of Data mining Technique for Customer Relationship Management (CRM) on Online Shop Tokodiapers.com With Fuzzy C-Means Clustering.pdf Download (678kB) |
Abstract
Online business competition is very tight. One strategy that can be done is to retain customers. By applying the concept of CRM (Customer Relationship Management), the online shop can identify customers, so customers can get special facilities in the appropriate marketing strategies according to their needs. This research discusses about how data mining process from customer data at shop online tokodiapers.com. The process of data mining begins with clustering process using Fuzzy C-Means (FCM) method which is then tested by clustering using purity test. The result of this research is a web-based data mining application that is able to segment customer data on tokodiapers.com using fuzzy C-Means clustering method. The test is done using purity test showed that the best grouping is found on the grouping with 4 clusters with the valueof purity test 0.79.
| Item Type: | Artikel Dosen |
|---|---|
| Subjects: | Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
| Divisi / Prodi: | Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Informatics Engineering (S1-Teknik Informatika) |
| Depositing User: | Mrs. Lisna Zahrotun |
| Date Deposited: | 05 Sep 2019 05:27 |
| Last Modified: | 05 Sep 2019 05:27 |
| URI: | http://eprints.uad.ac.id/id/eprint/14474 |
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