DECISION SUPPORT SYSTEM PENENTUAN PEGAWAI TERBAIK DENGAN METODE SAW (STUDI KASUS UNIVERSITAS BANTEN JAYA)

I. Gunawan, S. Sutanto, Irma Yunita
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引用次数: 1

Abstract

Banten Jaya University is a private university in the Serang city of Banten province. The increasing number of employees the diversity of employees is also increasingly complex so it is difficult to choose the best employees. Therefore, the need for a decision support system, so that it can shorten the selection time and improve the quality in determining the best employees. The best employee decision support system uses SAW (simple additive weighting) method based on predetermined criteria and weight. SAW (simple additive weighting) method is chosen because it is able to select the best alternative from a number of alternatives. This research is done by finding the weight on each attribute, then done ranking to determine the best employees.
决定支持系统评估最佳员工的方法(BANTEN JAYA大学案例研究)
万丹惹亚大学是位于万丹省雪朗市的一所私立大学。员工数量的不断增加,员工的多样性也越来越复杂,因此很难选择最好的员工。因此,需要一个决策支持系统,这样可以缩短选择时间,提高确定最佳员工的质量。最佳的员工决策支持系统采用基于预定标准和权重的简单加性加权(SAW)方法。选择SAW(简单加性加权)方法是因为它能够从多个备选方案中选择最佳备选方案。这项研究是通过找出每个属性的权重,然后进行排名来确定最佳员工。
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