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All Journal International Journal of Information System and Innovative Technology
Mismauli Nainggolan
Universitas Negeri Medan
Computer Science & IT

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Classification of Teacher Certification Eligibility Using the C4.5 Algorithm Agnes Irene Silitonga; Mismauli Nainggolan; Tasya Arcinta; Yoakim Simamora; Ferry Indra Sakti H Sinaga
International Journal of Information System and Innovative Technology Vol. 5 No. 1 (2026): June
Publisher : Geviva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63322/2ar4tf74

Abstract

Determining teacher certification eligibility is a crucial process in improving the quality of education. The C4.5 algorithm is a decision tree-based machine learning algorithm. This algorithm offers a systematic approach to data analysis and provides accurate results for decision-making. This study aims to develop a predictive model using the C4.5 algorithm to assess teacher certification eligibility based on relevant data such as teaching experience, education, and competency exam results. This study reveals that the C4.5 algorithm is capable of producing transparent decision rules and enabling clear interpretation of the results. This research is expected to make a significant contribution to supporting a more objective and efficient teacher certification policy.
Co-Authors Agnes Irene Silitonga Ferry Indra Sakti H. Sinaga Tasya Arcinta Yoakim Simamora