Recruitment and selection processes are an important task in human resource department. Recruitment process is the first step which determines the competitiveness of the company. Concerning to this issue, developing a framework for decision support system which implements multi-criteria decision making (MCDM) is really needed. This research involved knowledge acquisition phase to capture the expert knowledge including collecting documents of current recruitment and selection processes, knowledge from the literature review and interviews with experts from various companies. The data collected are used to create a theoretical model for employee selection that represented by the Analytic Hierarchy Process (AHP). The main objective of this research paper is to eliminate the degree of personal preference. The proposed framework integrates selection set test and AHP to shortlist the application which acts as an interface between the applicants and selection panel. AHP was used to develop a model which utilizes pair-wise comparison to identify the relative importance of each criteria used to evaluate candidates. Furthermore Simple Additive Weighting Model (SAW) was used to develop a score for each candidate according to their qualifications and the weight assigned by AHP. As a testing of the proposed framework, eliminate the need for manual labor by 85.7 and speed up time by 74.8.
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