Decision Support System For Selecting The Best Employee: A Literature Review

To achieve organizational goals effectively, human resources play a critical role. Selecting the best employees is essential to ensure optimal performance. However, conventional employee selection methods often rely on subjective judgments, leading to less accurate outcomes. Therefore, the use of a Decision Support System (DSS) or Sistem Pendukung Keputusan (SPK) is necessary to improve objectivity and efficiency in the selection process. This study adopts a literature review approach by analyzing various national and international journal articles related to the selection of the best employees. The purpose of this research is to identify the criteria commonly used in DSS/SPK for employee selection. Based on the analysis of the literature, it is concluded that the most effective systems incorporate three key aspects: quantitative (such as performance metrics or scores), qualitative (including attitude and behavior), and technical (skills and expertise related to the job). However, it is also found that many systems still face challenges in balancing all three criteria comprehensively. This highlights the need for a more integrated and holistic approach in developing DSS/SPK for employee selection to ensure that decisions are fair, measurable, and aligned with organizational needs.

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