Decision Support Systems the Selection of Outstanding Students Using Simple Additive Weighting (SAW) and Weighted Product (WP) Methods

bit-Tech Pub Date : 2020-08-31 DOI:10.32877/BT.V3I1.168
Riki Riki, Mimi Yanti
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引用次数: 1

Abstract

Appreciation for outstanding students is one of the encouragement for students to continue to maintain and improve their achievements. Generally, the selection of outstanding students in every school still uses the report value as the reference. Currently the selection of outstanding students at SMP Strada Santa Maria 2 still using the report card value (academic) as a reference. In addition, the school does not have a system that helps the selection and processing process based on several criteria considered. Therefore a decision support system is needed in order to help overcome problems and accelerate the selection of outstanding students. In this decision support system uses the SAW method (Simple Additive Weighting) and WP (Weighted Product) and compares the two methods. The criteria used included the value of the average semester 1, the value of the average semester 2, the value of attitudes, absences, and activeness of extracurricular activities. The results of these calculation in the form of the final value of each method and form of ranking that will be recommended to assist the school in determining the outstanding students according to the required criteria. Based on the terms of execution time, the SAW method is slightly faster than the WP method and and in terms of the test results using RSD, the value generated from the WP method calculation is better than the value generated from the SAW method calculation, where the RSD value of the WP method is 14.74% and SAW is 10.46%.
基于简单加性加权(SAW)和加权积(WP)方法的优秀学生选择决策支持系统
对优秀学生的赞赏是对学生继续保持和提高成绩的一种鼓励。一般来说,每所学校的优秀学生的选拔仍然以报告值为参考。目前SMP Strada Santa Maria 2的优秀学生的选拔仍然使用成绩单价值(学术)作为参考。此外,学校没有一个系统来帮助选择和处理基于几个标准考虑的过程。因此,需要一个决策支持系统,以帮助克服这些问题,加快优秀学生的选拔。该决策支持系统采用了简单加性加权(SAW)和加权积(WP)方法,并对两种方法进行了比较。使用的标准包括平均第一学期的价值、平均第二学期的价值、态度价值、缺勤价值和课外活动的活跃度。这些计算的结果以每种方法的最终值和排名形式的形式进行推荐,以协助学校根据要求的标准确定优秀学生。从执行时间上看,SAW法略快于WP法,从RSD计算的测试结果来看,WP法计算得到的值优于SAW法计算得到的值,其中WP法的RSD值为14.74%,SAW为10.46%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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