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International Journal of Economic Technology and Social Sciences (Injects)
Article . 2021 . Peer-reviewed
Data sources: Crossref
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STUDY OF C45 ALGORITHM IN PREDICTING NEW EMPLOYEE ACCEPTION

descriptionPublicationkeyboard_double_arrow_right Article 31 Oct 2021Publisher:CERED IndonesiaJournal:International Journal of Economic, Technology and Social Sciences (Injects), volume 2, pages 518-524 (eissn: 2775-2976, Copyright policy )
Authors: Khoirunsyah Dalimunthe; Zakarias Situmorang;

doi: 10.53695/injects.v2i2.555

STUDY OF C45 ALGORITHM IN PREDICTING NEW EMPLOYEE ACCEPTION

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold