STUDY OF C45 ALGORITHM IN PREDICTING NEW EMPLOYEE ACCEPTION

Authors

  • Khoirunsyah Dalimunthe Universitas Potensi Utama
  • Zakarias Situmorang Universitas Katolik Santo Thomas

DOI:

https://doi.org/10.53695/injects.v2i2.555

Keywords:

C4.5 Algorithm, Candidates for Employees, Predictions, Decision Trees

Abstract

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

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Published

2021-10-31

How to Cite

Dalimunthe, K., & Situmorang, Z. (2021). STUDY OF C45 ALGORITHM IN PREDICTING NEW EMPLOYEE ACCEPTION. International Journal of Economic, Technology and Social Sciences (Injects), 2(2), 518–524. https://doi.org/10.53695/injects.v2i2.555

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