Decision Support System for Admission Selection and Positioning Human Resources by Using Naive Bayes Method

Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/3412

Title:	Decision Support System for Admission Selection and Positioning Human Resources by Using Naive Bayes Method
Authors:	Khairina, Dyna Marisa Maharani, Septya Ramadiani, Ramadiani Hatta, Heliza Rahmania
Keywords:	Criteria; Decision Support System; Human Resources; Naive Bayes; Selection
Issue Date:	1-Mar-2017
Publisher:	American Scientific Publishers, Adv. Sci. Lett. Vol. 23, No. 3, 2017
Series/Report no.:	https://doi.org/10.1166/asl.2017.8653;
Abstract:	Human Resources (HR) are the most important resource for companies that are expected to meet the criteria and become the company’s quality standards. HR selection process is important because it is not easy to make a decision effectively. It takes several methods to solve the problem of selection acceptance and positioning of human resources. Naive Bayes is used to classifying methods of probability and statistics. The results of the decision are received or not received with a probability value “yes” is greater than the probability of a “no.” Finally, this study resulted in a decision support system for receiving and positioning the selection of human resources, which gives the advice to make the right decision.
URI:	https://www.ingentaconnect.com/content/asp/asl/2017/00000023/00000003/art00248#trendmd-suggestions http://repository.unmul.ac.id/handle/123456789/3412
Appears in Collections:	A - Computer Sciences and Information Technology

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