Decision Support Model for Employee Selection Based on Data Mining and Fuzzy Logic
- 1 Bina Nusantara University, Indonesia
Copyright: © 2020 Clarissa Elfira Amos Pah and Ditdit Nugeraha Utama. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This paper explains the use of data mining and fuzzy logic in optimizing decision making for employee recruitment, especially in IT Consultant company. This method addresses the company's need to recruit employees with more objective and accurate by utilizing historical data to find patterns of potential employees for the company. First, classification will be carried out using data mining to determine the predictor attributes of potential employees. These predictor attributes will then be used to arrange fuzzy rule base and fuzzy logic structure which will be used to prioritize employees to be accepted. The results obtained will prioritize employees who are recruited objectively scientifically.
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- Data Mining
- Fuzzy Logic
- Decision Support
- Employee Recruitment