A., Dhanika Budhi A. and ER., Mahendrawathi and Soelaiman, Rully (2011) Improving Modern Port Competitiveness By Using Data Mining To Obtain Strategic Decision. International Journal of Earth Sciences and Engineering, 04 (07). pp. 393-396. ISSN ISSN 0974-5904
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Abstract
Modern port management nowadays is a demand in the global era. Port services are consist of various kind among them there are many customers that need to be understand. It is important to define customer attribute and behavior to drive ports profitability. In this study RFM Recency Frequency Monetary is one kind of data mining technique used to analyse customers based on their buying behavior. With this method high-to-low response customers can be identified. The result of this study is expected can help the management in a decision making process in order to improve services development customer service customization and competitiveness of the company.
Item Type: | Article |
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Additional Information: | Collection ID : 35105120000048 |
Uncontrolled Keywords: | Decision Support System, Data Mining, RFM, Customer Relationship |
Subjects: | Q Science > QA Mathematics > QA76.9.D343 Data mining. Querying (Computer science) |
Divisions: | Faculty of Information and Communication Technology > Information Systems |
Depositing User: | - Davi Wah |
Date Deposited: | 07 Oct 2019 03:25 |
Last Modified: | 07 Oct 2019 03:25 |
URI: | http://repository.its.ac.id/id/eprint/71021 |
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