Application of Analytic Hierarchy Process and Weighted Product Methods in Determining the Best Employees

S. Harjanto, Setiyowati Setiyowati, Retno Tri Vulandari
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引用次数: 2

Abstract

Abstract. Employees are one of the company's assets that must be managed properly. Therefore the selection of the best employees is now needed. The problem faced in determining the best and qualified employees is that there are still no standards in assessing only one person subjectively in determining the best employee, which consequently lacks appropriate or objective results. To provide rewards for the best employees, we need a system to support the decisions of the best employees who deserve to receive rewards to be on target. The purpose of this research is to design and build a decision support system application in determining the best employees using the analytic hierarchy process and weighted product methods. Stages of software development of the Software Development Life Cycle (SDLC) uses a waterfall, that is data analysis, system design, construction, coding, testing and implementation. The results of this process are in the form of calculation applications that have been obtained from the analytic hierarchy process and weighted product methods in determining the best employee. The result gives an accuracy rate of 82.3%.Keywords: analytic hierarchy process, weighted product, decision support system, employees
层次分析法和加权积法在最佳员工决策中的应用
摘要员工是公司必须妥善管理的资产之一。因此,现在需要选择最好的员工。在确定最佳和合格的员工时所面临的问题是,在确定最佳员工时,主观评价一个人仍然没有标准,因此缺乏适当的或客观的结果。为了给最优秀的员工提供奖励,我们需要一个系统来支持最优秀的员工的决策,他们应该得到奖励,以达到目标。本研究的目的是设计并建立一个决策支持系统,应用层次分析法和加权积法来决定最优秀的员工。软件开发生命周期(SDLC)的软件开发阶段使用瀑布,即数据分析、系统设计、构建、编码、测试和实现。该过程的结果以层次分析法和加权积法在确定最佳员工中的计算应用的形式得到。结果显示准确率为82.3%。关键词:层次分析法,加权产品,决策支持系统,员工
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