Harryanto, Fandy Ferdian and Hansun, Seng (2017) Penerapan Algoritma C4.5 untuk Memprediksi Penerimaan Calon Pegawai Baru di PT WISE. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 3 (2). ISSN 2503-2933
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming 600 Technology (Applied Sciences) > 650 Management and Public Relations > 658 General management (Risk Management, Profit and Loss, Logistics) |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 18 Oct 2021 08:21 |
| Last Modified: | 18 Oct 2021 08:21 |
| URI: | https://kc.umn.ac.id/id/eprint/18841 |
Actions (login required)
 |
View Item |
