Employee Recruitment Recommendation Using Profile Matching and Naïve Bayes

Abstract

Finding the right employee in the employee recruitment process in an organization is a challenging tasks. For example, enormous candidates participated in the selection, various parameters to be examined from the candidates. Furthermore, the selection process done manually could take long time during the selection process. In addition, there is a case that sometimes the position of the employee's work is not suitable with the strengths and weaknesses of the candidates. Moreover, in some cases using Curriculum Vitae (CV), Interview, and Assessment Test could not give the optimal selection results. There is a need to overcome this problems to create more comprehensive and could suggest the employee placement based on their characteristics. In this study, Profile Matching is used to comprehensively assess the candidates. In addition, Naive Bayes is used in the next step to determine or predict the employee placement based on their characteristics. Validation is conducted by performing bivariate correlation to evaluate the Profile Matching and accuracy is used to evaluate the suitability of the employee placement. The results shows that there is a positive correlation with the value of 0.93. Meanwhile, the prediction using Naive Bayes model shows a 100% accuracy to predict employee placement.