User Acceptance Test for Kaaba Buku Saku Application

Abstract

As one of the countries with a big Muslim population in the world, opportunity of growing an Islamic business in Indonesia has swiftly gained. It is proved by the growth of 95% market share in manufacture, service, and technology areas. This will give a chance for entrepreneurs to follow the wave. One of the entrepreneurs that utilized the opportunity is the developer of Kaaba Buku Saku application. They are releasing solutions for Muslims in a form of mobile applications. Since the launching of this application, Kaaba Buku Saku generates only 30% active user from the total downloader. By using Binary Logistic Regression, it is known that Facilitating Conditions was a significant variable that means the customer would prefer to adopt the application when they have a sufficient resources and knowledge to adopt it. From the customer journey map, it is known that the improvements that should be made by the developer are equipped the prayer time feature with automatically locate feature, adjust the highlight content to be more understandable, launch live location feature for Hajj and Umrah users, give a step by step guidance for the first use, give notification to calibrate the phone for Qibla feature, and the last is launch their iOS version application.


Keywords: Muslim-based mobile application, Kaaba buku saku, binary logistic regression, customer journey map

References
[1] Suhendra, 2017. Tirto.id. [Online] Available at: https://tirto.id/benarkah-ri-negara-dengan-penduduk- muslim-terbesar-dunia-cuGD

[2] Zainal, A., Ahmad, N. A., Razak, F. H. A. & Nordin, A., 2017. Older Adults’ Requirements of Islamic Mobile Applications: A Multimethod Exploration, United States of America: American Scientific Publishers.

[3] Menon, P. M., 2013. Mobile Application Bring Religion to Your Fingertips. [Online]

[4] Latif, H., 2015. Digital Islamic Economic Report, s.l.: s.n.

[5] Rogers, E. M., 1995. Diffusion of Innovations, 4th edition. s.l.:s.n.

[6] Sepasgozar, S. M., Loosemore, M. & Davis, S. R., 2015. Conceptualising Information and Equipment Technology Adoption in Construction, s.l.: Emerald Insight.

[7] Comin, D., 2013. Technology Diffusion: Measurement, Causes and Consequences, s.l.: s.n.

[8] Childers, T., Carr, C., Peck, J. & Carson, S., 2001. Hedonic and Utilitarian Motivations for Online Retail Shopping Behavior. Journal of Retailing, 77(4), pp. 511-538.

[9] Gatautis, R. & Medziausiene, A., 2014. Factors Affecting Social Commerce Acceptance in Lithuania. Procedia - Social and Behavioral Sciences, 24 January, Volume 110, pp. 1235-1242.

[10] Taylor, S. & Todd, P., 1995. Understanding Information Technology Usage: a Test of Competing Models. Information System Research, Volume 6, pp. 144-176.

[11] Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D., 2003. User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, September, 27(3), pp. 425-478.

[12] Al-Gahtani, S. S., 2003. Computer Technology Adoption in Saudi Arabia: Correlates of Perceived Innovation Attributes. Information Technology for Development, Volume 10, pp. 57-69.

[13] Compueau, D. R. & Higgins, C. A., 1995. Computer Self Efficacy: Development of a Measure and Initial Test. MIS Quarterly, Volume 19, pp. 189-211.

[14] Chiu, C.-M. & Wang, E. T., 2008. Understanding Web-based Learning Continuance Intention: The Role of Subjective Task Value. Information & Management, April, 45(3), pp. 194-201.

[15] Halvorsrud, R., 2016. Improving Service Quality Through Customer Journey Analysis, s.l.: Emerald Group Publishing.

[16] olstad, A. & Kvale, K., 2018. Customer Journeys: a Systematic Literature Review. Journal of Service Theory and Practice.

[17] Smilansky, O., 2015. What You Need to Know About Customer Journey Map. In: s.l.:s.n., p. 5.

[18] Stucki, K., 2018. the Ultimate Guide to Customer Journey Mapping. s.l.:Clarabridge.

[19] Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E., 2010. Multivariate Data Analysis. s.l.:Pearson Prentice Hall.

[20] Alshenqeeti, H., 2014. Interviewing as a Data Collection Method: a Critical Review. Journal of English Linguistics Research, 31 March.3(1).

[21] Coughlan, M., 2009. Interviewing in Qualitative Research. International Journal of Therapy and Rehabilitation, June.Volume 16.

[22] Palic, M. et al., 2015. International Journal of Sales, Retailing and Marketing, 4(9).