Main Article Content

Abstract

Nganjuk Smart City is an android-based mobile application that was created to help Nganjuk citizen obtain public information and services. This research uses Technology Acceptance Model (TAM) and Delone & Mclean in order to determine quality and success implementation condition of Nganjuk Smart City. Data retrieval was conducted by sharing online and offline questionnaires to 175 respondents and used purposive sampling techniques to determine research samples. The result of this research is quality condition implementation of Nganjuk Smart City based on Technology Acceptance Model (TAM) falls into high category and get 71.4% score, while successful condition implementation of Nganjuk Smart City based on Delone & McLean model falls into the high category and get 69.4% score. There are 4 variables and 18 indicators that get improvement recommendations because they get scores lower than the total average scores.

Article Details

How to Cite
Anisya, R. D., Herlambang, A. D., & Rachmadi, A. (2021). Evaluation Quality and Success Implementation of Nganjuk Smart City Mobile Application Using Technology Acceptance Model (TAM) and Delone Mclean Model Approach. Journal of Information Technology and Computer Science, 6(3), 261–272. https://doi.org/10.25126/jitecs.202163322

References

  1. Pertiwi, W. K.: Penetrasi Internet di Indonesia Capai 64 Persen (2020). Available: https://tekno.kompas.com/read/2020/02/20/14090017/penetrasi-internet-di-indonesia-capai-64-persen
  2. Devega, E.: Langkah Menuju "100 SMART CITY" (2017). Available: https://kominfo.go.id/content/detail/11656/langkah-menuju-100-smart-city/0/sorotan_media
  3. diskominfo.nganjukkab.go.id, https://diskominfo.nganjukkab.go.id/
  4. Davis, F. D.: Information Technology Perceived Usefulness and Perceived Ease of Use. In Management Information System (MIS) Quarterly, pp. 319–339 (1989)
  5. DeLone, W. H. and McLean, E. R.: The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. In Journal of Management Information Systems, pp. 9–30 (2003)
  6. Hair, J. F., Black, W. C., Babin, B. J., and Anderson, R. E.: Multivariate data analysis (7th ed). Prentice Hall , United States (2010)
  7. Sugiyono.: Metodelogi Penelitian Kuantitatif Kualitatif dan R&D. Alfabeta, Bandung (2013)
  8. Mustafa, S. Z., Kar, A. K., and Janssen, M. F. W. H. A.: Understanding the impact of digital service failure on users: Integrating Tan’s failure and DeLone and McLean’s success model. International Journal of Information Management (2020)
  9. Mahfoudhi, S. and Faiz, R.: Raising information system effectiveness through webservices. In ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2010 (2010)
  10. Muntianah, S. T., Astuti, E. S., and Azizah, D. F.: Pengaruh Minat Perilaku Terhadap Actual Use Teknologi Informasi Dengan Pendekatan Technology Acceptance Model (TAM) (Studi kasus pada kegiatan belajar Mahasiswa Fakultas Ilmu Administrasi Universitas Brawijaya Malang). Profit, 6(1), pp. 88–113 (2012)
  11. Sayekti, F, and Putarta, P.: Penerapan Technology Acceptance Model (TAM) Dalam Pengujian Model Penerimaan Sistem Informasi Keuangan Daerah. Jurnal Manajemen Teori dan Terapan, 9(3), pp. 196–209 (2016)
  12. Zhang, S., Zhao, J., and Tan, W.: Extending TAM for Online Learning Systems: An Intrinsic Motivation Perspective. Tsinghua Science and Technology, 13(3), pp. 312–317 (2008)
  13. Yang, Y., and Wang, X.: Modeling the intention to use machine translation for student translators: An extension of Technology Acceptance Model. Computers and Education, pp. 116–126 (2019)
  14. Dlalisa, S.: Acceptance and usage of learning management system amongst academics. Conference on Information Communication Technology and Society, ICTAS 2017 – Proceedings (2017)
  15. Sharma, M. K.: A study of SDLC to develop well engineered software. International Journal of Advanced Research in Computer Science (2017)
  16. Nielsen, J.: Response Time Limits. Nielsen Norman Group (1993). Available: https://www.nngroup.com/articles/response-times-3-important-limits/
  17. Yuliad, B., and Nugroho, A.: Rancangan Disaster Recovery Pada Instansi Pendidikan Studi Kasus Universitas Mercu Buana. Jurnal Teknik Informatika, 9(1), pp. 30–39 (2016)
  18. Angkoso, S. P., Rahmanto, A. N. and Slamet, Y. S.: Faktor-Faktor Yang Mempengaruhi Kualitas Informasi Pelayanan Bidang Akademik Kepada Mahasiswa. Jurnal Manajemen Komunikasi, 1(2), p. 234 (2017)
  19. Fu, X.: Mobile phone UI design principles in the design of human-machine interaction design. In IEEE 11th International Conference on Computer-Aided Industrial Design and Conceptual Design, 1, pp. 697–701 (2010)
  20. Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H. and Patil, P.: Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management. pp. 38–52 (2019)
  21. Santa, R., MacDonald, J. B. and Ferrer, M.: The role of trust in e-Government effectiveness, operational effectiveness and user satisfaction: Lessons from Saudi Arabia in e-G2B. Government Information Quarterly, 36(1), pp. 39–50 (2019)