Weighting Comparative Analysis Using Fuzzy Logic and Rank Order Centroid (ROC) in the Simple Additive Weighting (SAW) Method

Alfin Ghazali, P. Sihombing, M. Zarlis
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Abstract

The Covid-19 outbreak has changed the learning system in Indonesia into distance learning, better known as online learning. In determining student learning outcomes on student learning satisfaction with distance learning during the Covid-19 pandemic, a study was carried out using the Simple Additive Weighting (SAW) method. This study aims to determine student learning outcomes during the Covid-19 pandemic. The type of research used in this research is applied research, in which this research is directed to obtain information that can be used to solve problems. The method used is Simple Additive Weighting (SAW) by comparing the results of the decision of the SAW method between the weighting based on the Fuzzy Logic method and the weighting based on the ROC method. The subjects involved in this study were 36 students of Vocational High School (SMK). Data collection in the study was carried out using direct observation, interviews, and questionnaires. The criteria contained in the questionnaire are factors that affect the process of student learning outcomes on learning satisfaction during the Covid-19 pandemic. The criteria used are device ownership, accessibility, ease of obtaining materials, method accuracy, monitoring ability, interactivity, and independent learning. From the seven criteria, the priority scale is determined. The results showed that the analysis of the search for weight scores using the Simple Additive Weighting (SAW) method using Fuzzy Logic and Simple Additive Weighting (SAW) using the Rank Order Centroid (ROC) method resulted in different sub-criteria weighting scores, so it can be said that the combination of SAW- ROC provides a more accurate and more selective selection of the number of students.
简单加性加权(SAW)法中模糊逻辑和秩序质心(ROC)加权对比分析
新冠肺炎疫情已将印尼的学习系统转变为远程学习,即更广为人知的在线学习。为了确定Covid-19大流行期间学生远程学习满意度的学习成果,采用简单加性加权(SAW)方法进行了一项研究。本研究旨在确定Covid-19大流行期间学生的学习成果。本研究中使用的研究类型是应用研究,该研究旨在获取可用于解决问题的信息。采用简单加性加权(Simple Additive weighted, SAW)方法,将基于模糊逻辑的加权方法与基于ROC法的加权方法的决策结果进行比较。本研究以36名中专学生为研究对象。本研究的数据收集采用直接观察、访谈和问卷调查。问卷中包含的标准是影响新冠肺炎大流行期间学生学习成果和学习满意度过程的因素。使用的标准是设备所有权、可访问性、获取材料的便利性、方法准确性、监测能力、交互性和独立学习。根据这七个标准,确定优先级。结果表明,利用模糊逻辑的简单加性加权(SAW)法和秩序质心法(ROC)的简单加性加权(SAW)法对权重分数的搜索进行分析,得到了不同的子标准权重分数,因此SAW- ROC的结合可以更准确、更有选择性地选择学生人数。
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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