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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Fandy Ferdian Harryanto
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Computer Science & IT

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Penerapan Algoritma C4.5 untuk Memprediksi Penerimaan Calon Pegawai Baru di PT WISE Fandy Ferdian Harryanto; Seng Hansun
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 3 No 2 (2017): JATISI MARET 2017
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (123.197 KB) | DOI: 10.35957/jatisi.v3i2.71

Abstract

A company in general needs employee that have good ability, good manners and also can company. But there are difficulties in finding the qualities of people as a good employee candicacy. That’s why we need a way or method to identify peoples with the potential to become a new employee candidate. C4.5 algorithm can be used to predict and classify new employee candidate that have the potential to get into a corporation by using decision tree according to the data that we have and predict the new employee candidate qualities. According to the testing method called ten-fold cross validation, the accuracy of the prediction for the new employee candidate is 71% by using the built prediction application which implementing C4.5 algorithm.
Co-Authors Seng Hansun