Bussines Intelligent in Telemarketing Using SVM

  • Putu Agung Ananta Wijaya Department of Electrical and Computer Engineering, Post Graduate Program, Udayana University
  • Komang Budiarta Department of Electrical and Computer Engineering, Post Graduate Program, Udayana University
  • Made Sudarma Department of Electrical and Computer Engineering, Udayana University

Abstract

Direct marketing provides an advantage in approaching consumers. Communication that happens allows us more closely, able to change the behavior and know the needs required by consumers accurately. But this technique has a lack of time. It takes a long time to convince consumers to buy the products offered. Bussines intelligent with data mining approach to consumer data is required. This process will analyze the potential possessed by a consumer. At the stage of the DSS used SVM method to predict whether consumers will buy products that have been offered. Bussines intelligent built proven able to predict consumers who have the potential to buy products. Tests show the greatest prediction accuracy rate is 89.5% with a combination of data traning of 70% of the dataset.

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Published
2017-09-23
How to Cite
ANANTA WIJAYA, Putu Agung; BUDIARTA, Komang; SUDARMA, Made. Bussines Intelligent in Telemarketing Using SVM. International Journal of Engineering and Emerging Technology, [S.l.], v. 2, n. 1, p. 62-66, sep. 2017. ISSN 2579-5988. Available at: <https://ojs.unud.ac.id/index.php/ijeet/article/view/34462>. Date accessed: 20 apr. 2024.

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