基于模糊的Tahani方法和Topsis在导师绩效评估方面的综合决策系统开发

Safrizal Safrizal, Susianto Susianto
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引用次数: 6

摘要

教官是航空教育培训学院(LPP)的主要学术实施者。影响LPP航空在提高学生素质方面取得成功的因素之一是教官的承诺和绩效。使用的一种方法是进行教师绩效评估过程。LPP航空的大量教官是评估过程中的一个单独问题,考虑到这个过程是基于主观性的,在决策中很有可能出现错误,即选择的教官不符合预期的标准,没有按照教官绩效评估优先级的确定。因此,在指导教师的绩效评估过程中需要一个决策支持系统。多属性决策(MADM)模型已被决策者广泛用于解决决策问题,通过各种方法可以找到最佳解决方案,但仍然可以从这些方法中开发出以提供最大决策结果为目标的方法。本研究将模糊抵抗法和TOPSIS两种方法相结合,构建决策支持系统模型。该模型旨在通过模糊抵抗法以规则的形式获得优先级标准,为LPP航空教官绩效评估过程中使用的标准搜索合适且准确的数据,从而对模糊教官的成功数据进行操纵。然后通过TOPSIS对LPP航空教官的教学质量进行排名,作为最佳教官的选择。结合模糊抵抗法和TOPSIS法对飞行教官的绩效评价结果基于250个测试数据样本,因此,准确率值为93%。
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Pengembangan Model Sistem Pendukung Keputusan Dengan Kombinasi Metode Fuzzy Tahani Dan Topsis Dalam Penilaian Kinerja Instruktur
The instructor is the main academic implementer in the Institute for Aviation Education and Training (LPP). One of the factors that influence the success of LPP Aviation in improving student quality is the commitment and performance of instructors. One method used is to conduct an instructor performance appraisal process. The large number of Instructors in LPP Aviation is a separate issue in the assessment process, considering the process is based on subjectivity and has a great chance of making mistakes in the decision making, namely the selection of instructors who do not meet the desired standards and are not in accordance with the determination of instructor performance evaluation priorities. For this reason, a decision support system is needed in conducting the instructor's performance appraisal process. The Multi Attribute Decision Making (MADM) model has been widely used by decision makers to solve decision making problems with a variety of methods that can be used to find the best solution, but from these methods can still be developed with the aim of providing maximum decision results. In this research a decision support system model will be built with a combination of two methods, namely the Fuzzy Resistant method and TOPSIS which aims to manipulate the success data of instructors who are ambiguous by conducting a search for appropriate and accurate data for the criteria used in the assessment process LPP Aviation instructor performance by using Fuzzy-Resistant to get priority criteria in the form of rules, then ranking will be done by using TOPSIS in getting the quality of teaching conducted by LPP Aviation Instructors as the best instructor selection. The results of the flight instructor's performance evaluation with a combination of the Fuzzy Resistant method and TOPSIS, are based on 250 data tested samples, therefore, the accuracy value is 93%.
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