Application of Data Mining Using Classification for Potential Tax Costs

Authors

  • Khoiratul Azmi Universitas Islam Negeri Sumatera Utara
  • Aninda Evioni Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.55537/cosie.v4i1.990

Keywords:

Keywords: data mining, classification, potential tax costs, tax revenue, taxpayer prediction

Abstract

Increasing tax revenue is one of the government's main focuses in development efforts. One way to maximize tax revenue is to identify potential tax costs that have not been ideally explored. In this study, information mining techniques are applied with the classification method to predict and identify taxpayers who have the potential for high tax costs. By using historical taxpayer information, the classification method is able to group taxpayer information into certain categories that are useful for further analysis. The results of this study are expected to provide information-based recommendations to tax authorities in order to improve the efficiency of tax collection.

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Published

23-01-2025

How to Cite

Azmi, K., & Evioni, A. (2025). Application of Data Mining Using Classification for Potential Tax Costs. Journal of Computer Science and Informatics Engineering , 4(1), 40–48. https://doi.org/10.55537/cosie.v4i1.990

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Articles