Lidentification of persuasive elements in islamic knowledge website using kansei engineering

The global explosions of the internet and direct use by individuals, organizations and Islamic scholars to spread the knowledge and events have witnessed massive growth over the years. The users refuse to use online Islamic websites as references which causes the acceptance rate of the online learni...

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Published in:Bulletin of Electrical Engineering and Informatics
Main Author: Daud N.A.; Aminudin N.I.; Redzuan F.; Ashaari N.S.; Muda Z.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065222666&doi=10.11591%2feei.v8i1.1435&partnerID=40&md5=2500314187b520f26d7c9e627272fc1d
id 2-s2.0-85065222666
spelling 2-s2.0-85065222666
Daud N.A.; Aminudin N.I.; Redzuan F.; Ashaari N.S.; Muda Z.
Lidentification of persuasive elements in islamic knowledge website using kansei engineering
2019
Bulletin of Electrical Engineering and Informatics
8
1
10.11591/eei.v8i1.1435
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065222666&doi=10.11591%2feei.v8i1.1435&partnerID=40&md5=2500314187b520f26d7c9e627272fc1d
The global explosions of the internet and direct use by individuals, organizations and Islamic scholars to spread the knowledge and events have witnessed massive growth over the years. The users refuse to use online Islamic websites as references which causes the acceptance rate of the online learning method still low. This paper presents the identifications of persuasive elements in Islamic knowledge website. The objective of this study is to identify the persuasive element using Kansei Engineering (KE) method for online Islamic knowledge website design. Therefore, Kansei words related to online Islamic knowledge were identified. After that, the Kansei words (KWs) were evaluated in order to be used as persuasive elements. Ten specimens of Islamic websites were chosen and evaluated with 30 emotions of KWs. 38 students from one of the public universities accomplished the evaluation experiment. The gathered KWs were then analyzed using multivariate analysis such as Factor Analysis to identify the persuasive elements. Based on Factor Analysis, the finding of this research revealed four main pillars which are credibility-motivated, reliability, Islamic identity and functional. The two additional pillars are updated and belief. The pillars were then compared with the persuasive elements in the previous research. Although there are some limitations and constraint during the conduct of the research, this study also contributes to the design persuasive elements for Islamic website knowledge in the future. © 2019 Institute of Advanced Engineering and Science.
Institute of Advanced Engineering and Science
20893191
English
Article
All Open Access; Gold Open Access
author Daud N.A.; Aminudin N.I.; Redzuan F.; Ashaari N.S.; Muda Z.
spellingShingle Daud N.A.; Aminudin N.I.; Redzuan F.; Ashaari N.S.; Muda Z.
Lidentification of persuasive elements in islamic knowledge website using kansei engineering
author_facet Daud N.A.; Aminudin N.I.; Redzuan F.; Ashaari N.S.; Muda Z.
author_sort Daud N.A.; Aminudin N.I.; Redzuan F.; Ashaari N.S.; Muda Z.
title Lidentification of persuasive elements in islamic knowledge website using kansei engineering
title_short Lidentification of persuasive elements in islamic knowledge website using kansei engineering
title_full Lidentification of persuasive elements in islamic knowledge website using kansei engineering
title_fullStr Lidentification of persuasive elements in islamic knowledge website using kansei engineering
title_full_unstemmed Lidentification of persuasive elements in islamic knowledge website using kansei engineering
title_sort Lidentification of persuasive elements in islamic knowledge website using kansei engineering
publishDate 2019
container_title Bulletin of Electrical Engineering and Informatics
container_volume 8
container_issue 1
doi_str_mv 10.11591/eei.v8i1.1435
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065222666&doi=10.11591%2feei.v8i1.1435&partnerID=40&md5=2500314187b520f26d7c9e627272fc1d
description The global explosions of the internet and direct use by individuals, organizations and Islamic scholars to spread the knowledge and events have witnessed massive growth over the years. The users refuse to use online Islamic websites as references which causes the acceptance rate of the online learning method still low. This paper presents the identifications of persuasive elements in Islamic knowledge website. The objective of this study is to identify the persuasive element using Kansei Engineering (KE) method for online Islamic knowledge website design. Therefore, Kansei words related to online Islamic knowledge were identified. After that, the Kansei words (KWs) were evaluated in order to be used as persuasive elements. Ten specimens of Islamic websites were chosen and evaluated with 30 emotions of KWs. 38 students from one of the public universities accomplished the evaluation experiment. The gathered KWs were then analyzed using multivariate analysis such as Factor Analysis to identify the persuasive elements. Based on Factor Analysis, the finding of this research revealed four main pillars which are credibility-motivated, reliability, Islamic identity and functional. The two additional pillars are updated and belief. The pillars were then compared with the persuasive elements in the previous research. Although there are some limitations and constraint during the conduct of the research, this study also contributes to the design persuasive elements for Islamic website knowledge in the future. © 2019 Institute of Advanced Engineering and Science.
publisher Institute of Advanced Engineering and Science
issn 20893191
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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