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Penerapan Data Mining Menggunakan Algoritma K-means Untuk Mengelompokkan Konsumen Pada Cv Mizan Cirebon
| Content Provider | Semantic Scholar |
|---|---|
| Author | Nanang, A. M. Susanti, Deffy |
| Copyright Year | 2018 |
| Abstract | Consumer is a very important asset for the company, thus companies should design and use a fairly clearstrategy in treating consumers. A company with huge number of consumers must know how to determinepotential customers. With the clustering method in data mining, companies can identify potential customers bygrouping consumers. The goal of the process of grouping consumers is to figure out consumer behaviorimplement the right marketing strategy so that it can bring benefits to the company. This study discusses how thedata mining process of consumer data in CV.MIZAN – a company engaged in the business of Digital PrintingServices, Offset Printing, Rental Photocopy, Service Computer, Monitor & Printer and general trading, locatedin Jalan Dewi Sartika, in Cirebon City. The data mining process uses data derived from sales data onCV.MIZAN and aims to find potential customers. Data mining process begins with the process Praproses data(selection, clenning and transformation) further clustering stage using K-Means algorithm by determining thenumber of clusters. The clustering results of the K-Means algorithm are used to classify consumers and formconsumer classes based on Frequency and Monetary attributes. |
| Starting Page | 93 |
| Ending Page | 102 |
| Page Count | 10 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://jurnal.unismabekasi.ac.id/index.php/sinergi/article/download/1148/1016 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
