TY  - JOUR
AU  - Pah, Clarissa Elfira Amos 
AU  - Utama, Ditdit Nugeraha 
PY  - 2020
TI  - Decision Support Model for Employee Selection Based on Data Mining and Fuzzy Logic
JF  - Journal of Computer Science
VL  - 16
IS  - 5
DO  - 10.3844/jcssp.2020.686.701
UR  - https://thescipub.com/abstract/jcssp.2020.686.701
AB  - 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.