International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064




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Research Paper | Computer Science | Indonesia | Volume 9 Issue 1, January 2020


Predicting Customer Loyalty by Using Na?ve Bayes

Teguh Iman Hermanto | Muhamad Agus Sunandar


Abstract: The effort to increase customer loyalty is by predicting whether the customer is loyal or not. To carry out company development, a customer development strategy is needed, while to carry out customer development strategies can be done using a data mining approach including classification of customers with the method of naive bayes. This study aims to predict consumer loyalty to telecommunication service products. the method used is CRIPS-DM through the stages of business understanding, understanding data, data preparation, modeling, evaluation and development. The algorithm used for prediction is the Naive Bayes algorithm. The results obtained from this study are customer classification models that can help in customer loyalty.


Keywords: Nave Bayes, CRISP-DM, Customer Loyalty, Prediction


Edition: Volume 9 Issue 1, January 2020,


Pages: 1064 - 1067


How to Cite this Article?

Teguh Iman Hermanto, Muhamad Agus Sunandar, "Predicting Customer Loyalty by Using Na?ve Bayes", International Journal of Science and Research (IJSR), Volume 9 Issue 1, January 2020, pp. 1064-1067, https://www.ijsr.net/get_abstract.php?paper_id=ART20204202

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