Web Based E-Learning System Analysis Using Kansei Engineering

Isa, Indra Griha Tofik and Hadiana, Ana and Asriyanik, Asriyanik (2016) Web Based E-Learning System Analysis Using Kansei Engineering. In: Seminar Nasional Teknologi dan Rekayasa (SENTRA) 2016, 2-3 September 2016, Batu.

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Abstract

Education has been developed in various techniques for decades. Technology is included in its development; it is begun by the usage of media such as Compact Disk, elevision, computer and web-based E-Learning recently. Many web developers provide web-based E-Learning and give their best features and interface design to ease and attract the user. One of concept to make them is Human-Computer Interaction (HCI). HCI is about designing computer system, how to make a good communication between user and computer system with all aspect, includes interface and features. The key of HCI is usability that aims the user is satisfied by the computer system. Now, the product is not only focus in technically aspects such as the easiness, the advantages or other sophisticated add-in, but the point is how to persuade the user to use the product by the first sight and psychological feeling. Kansei Engineering or KE is used to complete the concept of HCI. KE is a technology that involves psychological feeling to make or develop a product. One of KE techniques is Kansei Engineering Type I or called by KEPack. KEPack has some steps, started by decision of strategy, collection Kansei Word and structured to SD Scale; data analysis involves multivariate statistical analysis. And finally the result of KEPack is product guideline matrix or product prototyping. Main focus of this study is exploring the concept of emotion between user’s psychology emotional factors to E-Learning website design by using Kansei Engineering approach.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: web-based E-Learning, Kansei Engineering, Kansei Engineering Type 1 (KEPack)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains dan Teknologi
Depositing User: Perpus ID UMMI
Date Deposited: 13 Mar 2017 10:05
Last Modified: 13 Mar 2017 10:05
URI: http://eprints.ummi.ac.id/id/eprint/58

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