Implementation of Classification Decision Tree and C4.5 Algorithm in selecting Insurance Products

Authors

  • Sri Redjeki Universitas Teknologi Digital Indonesia
  • Ariesta Damayanti Universitas Teknologi Digital Indonesia
  • Erna Hudianti Universitas Teknologi Digital Indonesia
  • Asyahri Hadi Nasyuha Universitas Teknologi Digital Indonesia

DOI:

10.33395/sinkron.v9i1.13444

Keywords:

Data Mining, Classification Decision Tree, Algoritma C4.5, Insurance

Abstract

Every insurance customer will receive a policy card, as a sign that the person is included in the insurance and is obliged to pay the insurance premium, the amount of which has been determined by the company in accordance with the agreement. Premium payments are Insurance's biggest source of income. Unfavorable economic conditions often cause customers not to pay their premiums by the specified time limit, resulting in a delay in completing the recording of premium income. This research aims to find out the right type of insurance product for prospective customers. The research method used is Classification Decision Tree. Classification Decision Tree is a research method used to examine existing facts systematically based on research objects, existing facts to be collected and processed into data, then explained based on theory so that in the end it produces a conclusion. This research is for selecting the right type of insurance product for prospective customers based on the age and income categories of prospective customers. Insurers must be more careful, especially in selecting prospective customers, and in determining the right type of insurance product for prospective customers so that the power in selecting the right type of insurance product for prospective customers is right at the intended target.

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How to Cite

Redjeki, S., Damayanti, A., Hudianti, E., & Nasyuha, A. H. . (2024). Implementation of Classification Decision Tree and C4.5 Algorithm in selecting Insurance Products. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 9(1), 600-608. https://doi.org/10.33395/sinkron.v9i1.13444