Implementasi Kansei Engineering pada Aplikasi E-learning Untuk Sekolah Menengah Kejuruan

Yoga Megasyah
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引用次数: 4

Abstract

E-learning is the basis and logical consequence of the development of information and communication technology. With E-learning, teaching and learning methods in schools that use technology through electronic media such as computers, laptops, netbooks, or smartphones with internet networks or others. This study uses Kansei Word to detect the feelings of users of E-learning applications. The Kansei Word list is used as many 15 words related to the appearance of the E-learning application. E-learning application specimens used 8 specimens. This study involved 80 participants consisting of 40 students from SMK PGRI 3 Cimahi, 40 students from SMK 4 Padalarang. The questionnaire results from participants were then processed using multivariate statistical analysis, namely Cronbach's Alpha, Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Partial Least Square (PLS) analysis. This study produced 3 recommendations for the design of E-learning application. This recommendation is the result of the Kansei Engineering process which comes from 3 groups of participant data, namely groups of data of all participants, participants of SMK PGRI 3 Cimahi students and participants of SMK 4 Padalarang students.
网络学习是信息通信技术发展的基础和必然结果。随着电子学习,教学和学习方法在学校使用技术通过电子媒体,如电脑,笔记本电脑,上网本,智能手机与互联网网络或其他。本研究使用感性词来检测电子学习应用程式使用者的感受。感性词汇表使用了多达15个与电子学习应用程序外观相关的单词。电子学习应用样本使用了8个样本。本研究涉及80名参与者,其中40名来自SMK PGRI 3 Cimahi, 40名来自SMK 4 Padalarang。对问卷结果进行多变量统计分析,即Cronbach's Alpha、系数相关分析(CCA)、主成分分析(PCA)、因子分析(FA)和偏最小二乘(PLS)分析。本研究为电子学习应用程序的设计提供了3条建议。这一建议是感性工学过程的结果,该过程来自三组参与者数据,即所有参与者的数据组,SMK PGRI 3 Cimahi学生的数据组和SMK 4 Padalarang学生的数据组。
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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