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All Journal Jurnal Algoritma Jurnal Algoritma Journal of Informatics and Information Security
Indah Dwijayanthi Nirmala
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Computer Science & IT

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Journal : Journal of Informatics and Information Security

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Analisis Perbandingan Algoritma Naïve Bayes, KNN dan Decision Tree untuk Hasil Prediksi Kelulusan Cpns Auditor Ahli Pertama Indah Dwijayanthi Nirmala; Srisulistiowati, Dwi Budi
Journal of Informatic and Information Security Vol. 6 No. 1 (2025): Juni 2025
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/a5afw728

Abstract

It cannot be denied that every time there is a CPNS acceptance, many are ready to compete to be able to graduate as a civil servant. To become a civil servant, one of the challenges that must be faced is taking the CAT SKD, SKB test by meeting the CAT threshold scores determined by BKN. Where the final graduation rate for CPNS participants is by getting the highest score from the specified number of formations. Therefore, the evaluation carried out by researchers in carrying out a comparative analysis of the Decision Tree, KNN, and Naïve Bayes algorithms for the predicted results of the 2021 Ministry of Religion First Expert Auditor CPNS graduation using Rapid Minner Tools. The results of this research will help in providing more effective and efficient solutions in assessing the qualifications of CPNS candidates, as well as minimizing subjective biases that may arise in the manual selection process.
Co-Authors Dwi Budi Srisulistiowati Hendarman Lubis Satria Eka Nugroho