STUDY OF C45 ALGORITHM IN PREDICTING NEW EMPLOYEE ACCEPTION
DOI:
https://doi.org/10.53695/injects.v2i2.555Keywords:
C4.5 Algorithm, Candidates for Employees, Predictions, Decision TreesAbstract
Good employee performance is one of the criteria in the company where one has good behavior and can complete the work given to him. But there are some difficulties in knowing the quality of people who have good potential as employees in a company. Therefore, a method or method is needed to identify prospective employees of a company. The C4.5 algorithm can be used to predict and classify prospective employees who have the potential to enter the company by making a decision tree based on existing data and predicting new prospective employees who want to enter the company.References
Aryza, S., Irwanto, M., Khairunizam, W., Lubis, Z., Putri, M., Ramadhan, A., Hulu, F. N., Wibowo, P., Novalianda, S., & Rahim, R. (2018). An effect sensitivity harmonics of rotor induction motors based on fuzzy logic. International Journal of Engineering and Technology(UAE), 7(2.13 Special Issue 13), 418–420. https://doi.org/10.14419/ijet.v7i2.13.16936
Goyal, R. K., & Kaushal, S. (2016). Effect of utility based functions on fuzzy-AHP based network selection in heterogenous wireless networks. 2015 2nd International Conference on Recent Advances in Engineering and Computational Sciences, RAECS 2015, December, 0–4. https://doi.org/10.1109/RAECS.2015.7453366
Handy Wicaksono, Resmana Lim, & William Sutanto. (2008). Perancangan SCADA Software dengan Wonderware InTouch Recipe Manager dan SQL Access Manager pada Simulator Proses Pencampuran Bahan. Jurnal Teknik Elektro, 8(1), 38–45. https://doi.org/10.9744/jte.8.1.38-45
Ikhsan, M. G., Saputro, M. Y. A., Arji, D. A., Harwahyu, R., & Sari, R. F. (2019). Mobile LoRa gateway for smart livestock monitoring system. Proceedings - 2018 IEEE International Conference on Internet of Things and Intelligence System, IOTAIS 2018, 46–51. https://doi.org/10.1109/IOTAIS.2018.8600842
Li, Z., Shang, C., & Shen, Q. (2016). Fuzzy-clustering embedded regression for predicting student academic performance. 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, 344–351. https://doi.org/10.1109/FUZZ-IEEE.2016.7737707
Lubis, A. H. (2018). ICT Usage Amongst Lecturers and Its Impact Towards Learning Process Quality. 34(1), 284–299.
Machfoedz, M. M. (2015). Stabilizing and Decentralizing the Growth through Agro-industrial Development. Agriculture and Agricultural Science Procedia, 3, 20–25. https://doi.org/10.1016/j.aaspro.2015.01.006
Muhathir, & Al-Khowarizmi. (2020). Measuring the Accuracy of SVM with Varying Kernel Function for Classification of Indonesian Wayang on Images. 2020 International Conference on Decision Aid Sciences and Application (DASA), 1190–1196. https://doi.org/10.1109/DASA51403.2020.9317197