Penerapan Algoritma Simple Additive Weighting (SAW) dalam Sistem Keputusan Pemilihan Karyawan Terbaik di Industri Outsourcing Berbasis Web

Mirotul Arofiyah, Rahmat Hidayat
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Abstract

PT XYZ has more than 30 employees, so to support the progress of the company, it is necessary to thank the employees who have shown good dedication. When giving appreciation, there must be a selection process for the best employees. However, the difficulties of the manual selection process and the subjectivity of department heads made the process longer, with some employees complaining about decisions that were not on target. In this problem, researchers try to change the manual system and subjectivity by implementing a decision-support system using a simple additive weighting method. The general description of the Simple Additive Weighting method is to find the weighted sum of the performance ratings of each alternative for all attributes. The criteria that determine PT XYZ's best employees are presence, discipline, thoroughness, leadership, relationships, and years of service. Higher ratings and scores will indicate that the alternative is preferred.
PT XYZ有30多名员工,所以为了支持公司的发展,有必要感谢那些表现出良好奉献精神的员工。在给予赞赏时,必须有一个挑选最佳员工的过程。然而,人工选择过程的困难和部门主管的主观性使得这一过程变得更长,一些员工抱怨决定没有达到目标。在这个问题中,研究人员试图通过使用简单的加性加权方法实现决策支持系统来改变人工系统和主观性。简单加性加权法的一般描述是找到所有属性的每个备选方案的性能评级的加权和。决定PT XYZ最佳员工的标准是表现、纪律、彻底性、领导力、人际关系和服务年限。较高的评级和分数将表明选择是首选的。
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