Redesign the User Interface of the Purwakarta Disdukcapil Mobile Application Using Kansei Engineering

Authors

  • Yudhi Raymond Ramadhan STT Wastukancana
  • Imam Maruf Nugroho STT. Wastukancana, Indonesia
  • Imam Khaerul Anwar STT. Wastukancana, Indonesia

DOI:

10.33395/sinkron.v7i1.11240

Keywords:

Disdukcapil Mobile Application, Kansei Engineering, Kansei Engineering Type I, Kansei Word, User Interface

Abstract

The function and usability of a mobile application are the main reasons for making the application. In addition, the User Interface (UI) design factor is also an important consideration in making a mobile application. Good UI design is the main attraction for the application to use. There are many ways to make a good UI design. Kansei Engineering (KE) is one of the methods that can be used in the UI design process. Since the creation of the Mobile Disdukcapil application, there has never been a study on the application's design interface. This research aims to make recommendations on design elements desired by users. The KE method can detect the user's feelings towards an interface. So that the KE method will produce a UI design for the Disdukcapil mobile application that is liked by the user. The methodology used refers to the Kansei Engineering Type I methodology. This research uses Kansei Words to represent the emotional factors of the user when viewing a product specimen. Kansei Word used as many as 10 words related to the UI display on the mobile application. The mobile application specimens used were 5 specimens, which were taken from various similar applications. This study involved 80 participants to fill out the questionnaire. The results of the questionnaire were 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). The results of this study are in the form of recommendations for UI design elements based on the most dominant emotional factors. Based on the results of data processing, the dominant emotional factors are "Colorful" and "Simple".

GS Cited Analysis

Downloads

Download data is not yet available.

References

Bidin, S. A. H., & Lokman, A. M. (2018). Enriching the Comfortability Emotion on Website Interface Design Using Kansei Engineering Approach. Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research, 739, 792–800. https://doi.org/10.1007/978-981-10-8612-0_82

Ginanjar, A., & Supendi, Y. (2018). Implementasi Kansei Engineering dalam Perancangan Antarmuka Website Mobile Portal Berita Informasi Pendidikan dan Kesehatan Anak. 14(1). https://doi.org/10.32816/tiarsie.v14i1.18

Hadiana, A. (2018). Analysis Learners’ Preference in E-Learning System Using Kansei Approach. In IntechOpen. InTech. https://doi.org/10.5772/intechopen.75620

Hadiana, A., & Ginanjar, A. (2018). Designing Interface of Mobile Parenting Information System Based on User’s Perception Using Kansei Engingeering. Journal of Data Science and Its Applications, 1(1), 10–19. https://doi.org/10.21108/jdsa.2018.1.7

Lokman, A. M. (2010). DESIGN & EMOTION: THE KANSEI ENGINEERING METHODOLOGY. Malaysian Journal of Computing (MJoC), 1(1), 1–14. https://ir.uitm.edu.my/id/eprint/11102/

Lokman, A. M., Haron, M. B. C., Abidin, S. Z. Z., Khalid, N. E. A., & Ishihara, S. (2013). Prelude to Natphoric Kansei Engineering Framework. Journal of Software Engineering and Applications, 06(12), 638–644. https://doi.org/10.4236/jsea.2013.612076

Lokman, A. M., Ismail, N. N. N. N., & Hadiana, A. (2020). Kansei Engineering in Malaysia and Indonesia: A Systematic Literature Review. Proceedings of the 8th International Conference on Kansei Engineering and Emotion Research, 1256 AISC, 115–126. https://doi.org/10.1007/978-981-15-7801-4_12

Ma’ruf Nugroho, I., Hadiana, A., & Singasatia, D. (2019). Design of Wastu Mobile Interface Using Kansei Engineering. Fourth International Conference on Informatics and Computing (ICIC), 1–8. https://doi.org/10.1109/ICIC47613.2019.8985955

Nagamachi, M., & Lokman, A. M. (2015). Kansei Innovation Practical Design Applications for Product and Service Development. CRC Press Taylor & Francis Group.

Natalia, N., Sukarsa, Purnama, E. D., & Ma’sum, A. (2020). Kajian E-Learning Berdasarkan Persepsi Pengguna Menggunakan Kansei Engineering dan Analytical Hierarchy Process. JTERA (Jurnal Teknologi Rekayasa), 5(1), 159–166. https://doi.org/10.31544/jtera.v5.i1.2020.159-166

Ramadhan, Y. R. (2018). Implementasi Kansei Engineering Dalam Desain Tampilan Website Perguruan Tinggi. Jurnal Teknologi Rekayasa, 3(1), 71. https://doi.org/10.31544/jtera.v3.i1.2018.71-78

Suhaimi, A. N. M., & Lokman, A. M. (2018). A Kansei Approach to Investigate Mobile Apps Requirements for Muslim Women Tourist. Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research, 739, 113–120. https://doi.org/10.1007/978-981-10-8612-0_13

Syaifoelida, F., Yahaya, Sihombing, H., & Yuhazri. (2013). 2013 - Fevi S, Yahaya, Haeryip S, Yuhazri. KANSEI ENGINEERING THE KE’S PACKAGE REVIEW. GLOBAL ENGINEERS & TECHNOLOGISTS REVIEW, 3(5), 8–20. https://issuu.com/mr_pixie/docs/getview_vol.3_no.5

Taharim, N. F., Lokman, A. M., & Isa, W. A. R. W. M. (2016). Emotion and Playful Elements in Mobile Learning. 10th International Conference on Next Generation Mobile Applications, Security and Technologies (NGMAST), 72–76. https://doi.org/10.1109/NGMAST.2016.23

Tsuchiya, T., Lokman, A. M., Kadir, A. S., & Noordin, F. (2018). Happiness Index Measurement: Application of Kansei Engineering and Positive Psychology. Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research 2018, 739, 855–862. https://doi.org/10.1007/978-981-10-8612-0_89

Downloads


Crossmark Updates

How to Cite

Ramadhan, Y. R., Nugroho , I. M. ., & Anwar , I. K. . (2022). Redesign the User Interface of the Purwakarta Disdukcapil Mobile Application Using Kansei Engineering. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 6(1), 66-75. https://doi.org/10.33395/sinkron.v7i1.11240