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

Authors

  • Ana Hadiana  Researc Center for Information and Data Science (PRSDI), Badan Riset Inovasi Nasional (BRIN), Indonesia
  • Fahmi Abdullah  Departement of Information Engineering, Sekolah Tinggi Teknologi Bandung (STTB), Bandung, Jawa Barat, Indonesia

DOI:

https://doi.org/10.32628/IJSRSET2310542

Keywords:

Kansei, Information System, System Application, ERP, User Interface, Emotion, AHP, Multivariate Analysis.

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.

References

  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.
  6. Nagamachi M, Lokman AM. Kansei/Affective Engineering. CRC Press. 2011.
  7. Kusumadewi S, Hartati S, Harjoko A, Wardoyo R. Fuzzy Multi-Attribut Decision Making. Graha Ilmu. 2006. Indonesian.
  8. Y. Chen, “Reseach on Optimized Design of Kansei Engineering-based Web Interface”, International Conference on Computational and Information Science, 2013.
  9. A. M. Lokman, and S. N. Hussin, “Kansei website interface design: Practicality and accuracy of Kansei Web Design Guideline”, 2nd International Conference on User Science and Engineering (i-USEr), 2011.
  10. F. Redzuan, A. M. Lokman, and Z. A. Othman, “Kansei semantic space for emotion in online learning”, 3rd International Conference on User Science and Engineering (i-USEr), Shah Alam, 2014.
  11. Isa IGT, Lokman AM, Novianti L, Ariyanti I, Sadariawati R, Ismail A, User Experience Design of Web-Based BPKAD Asset Mapping Using Kansei Engineering, International Journal of Electrical Engineering and Information Technology Vol. 6 No.1, 2023.
  12. Novianti, L., Isa, I. G. T., Ariyanti, I., Sadariawati, R., Lokman, A. M., Aziz, A. B. A., & Ismail, A. B. (2022). Evaluating Users’ Emotion. Web-Based Geographic Information System. Proceedings of the 5th FIRST T1 T2, 2021.
  13. Isa, I. G. T. (2018). Kansei Engineering Approach in Software Interface Design. Journal of Science Innovare, Vol.1 No. 1, 2018.
  14. XLStat.com, XLStat Software for Excel [Internet]. 2023 [cited 2023 January 17]. Available from: https://xlstat.com/en.

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2023-10-30

Issue

Volume 10, Issue 5, September-October-2023

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ana Hadiana, Fahmi Abdullah "Decision Analysis Using AHP and Kansei for Extracing Users's Emotional Factor of Information System" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 5, pp.240-246, September-October-2023. Available at doi : https://doi.org/10.32628/IJSRSET2310542