基于分析网络过程和TOPSIS方法的最佳讲师选择决策支持系统

Junita Cahyati Sinaga, Alyauma Hajjah
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引用次数: 0

摘要

教师表现对提高学生学习动机有影响。每个讲师都有不同的性格、性质和教学方式。这导致学生根据自己的情况选择和确定最好的讲师。决策支持系统(DSS)在评估最好的讲师是使用ANP和TOPSIS方法。采用分析网络过程(ANP)法根据决策确定各指标的权重,然后采用TOPSIS法确定讲师的排名/成就。这个决策支持系统有望帮助并提供评估讲师成就的另一种选择。这项研究的结果将以一个信息系统的形式出现,该系统预计将通过使用ANP和TOPSIS方法设计最佳讲师评估信息系统来协助处理数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decision Support System for Best Lecturer Selection using Analytical Network Process (ANP) and TOPSIS Method
Lecturer performance is influential in increasing student learning motivation. Each lecturer has a different character, nature and way of teaching. This causes students to choose and determine the best lecturer according to the students themselves. One of the Decision Support Systems (DSS) in assessing the best lecturers is using the ANP and TOPSIS methods. The Analytic Network Process (ANP) method is used to determine the weight of the criteria according to decision making, then the TOPSIS method is used to determine the rank / achievement of lecturers. This decision support system is expected to help and provide an alternative in assessing lecturer achievement. The results of this study will be in the form of an information system which is expected to assist in processing data by designing the best lecturer assessment information system using the ANP and TOPSIS methods.
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