Decision Analysis Using AHP and Kansei for Extracing Users's Emotional Factor of Information System

Author:

Ana Hadiana 1,Fahmi Abdullah 2

Affiliation:

1. Researc Center for Information and Data Science (PRSDI), Badan Riset Inovasi Nasional (BRIN), Indonesia

2. Departement of Information Engineering, Sekolah Tinggi Teknologi Bandung (STTB), Bandung, Jawa Barat, Indonesia

Abstract

In implementing an information system application based on particular users, one of the important consideration is to know users’ feelings through its interface. Kansei is a method for translating emotional feelings into a set of application element designs. The implementation of Kansei in the development of information system is to help the design of user interface based on the emotional feelings. The Analytical Hierarchy Process (AHP) method is effective as a solution for our research case of information system selection based on what users feel when interacting the system via its user interface, and we also used multivariate factor analysis as the comparison method. This research aimed to explore the information system application based on Kansei. In this case, we focused on open-source ERP systems as our research objects. The result of this research were to support the analysis of ERP according to the point of view of users’ emotional feeling using two methods. The results showed that there were different results between the two methods. However the Kansei word “Artistic” was an users’ emotion that had a great influence.

Publisher

Technoscience Academy

Subject

General Medicine

Reference14 articles.

1. Opensource.com. Top 9 open source ERP system to consider [Internet]. 2023 [cited 2023 February 10]. Available from: https://opensource.com/tools/enterprise-resource-planning.

2. Hadiana A. Analysis Learners’ Preference in E-Learning System Using Kansei Approach. Trends in E-Learning. IntechOpen. 2018

3. Lokman, Anitawati Mohd, and Mitsuo Nagamachi. Kansei Engineering: A Beginners Perspective. University Pub. Centre (UPENA), 2010.

4. Saaty, Thomas L. Decision Making For Leaders: The Analytic Hierarchy Process for Decisions in a Complex World. RWS publications, 1990.

5. Nagamachi M, Lokman AM. Innovations of Kansei Engineering, CRC Press, 2011.

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