Analisis Adopsi Inovasi Teknologi Informasi Menggunakan Innovation Diffusion Theory (IDT) Pada Aplikasi TaniHub di Wilayah Surabaya

Main Article Content

Ibrahim
Pratama Puji Ariyanto
Cready Celgie Gildbransen
Primandika Hakiki
Saktian Purborini

Abstract

 TaniHub is a form of information technology development, especially in agriculture. TaniHub allows farmers to sell their crops directly to consumers without going through distributors first, which is one of the advantages for farmers to get more profits than through distributors. However, in its implementation, of course, it does not only produce benefits. There is one problem that is the impact of the adoption of the TaniHub application, namely, traders in traditional markets will potentially experience a decrease in sales and income because consumers can now order directly from farmers without having to buy through traditional markets. The purpose of this study was to analyze the adoption of information technology for the TaniHub application in the Surabaya area using the Innovation Diffusion Theory measuring instrument. In this study, there were as many as 100 research samples or respondents who were obtained online and used the Partial Least Square (PLS) analysis technique. With the results obtained in this study, it is hoped that it can provide an overview of the adoption of the TaniHub application in the Surabaya area, and can encourage other researchers to examine the adoption of TaniHub from a different perspective.

Article Details

Section
Articles

References

[1] K. Das, M. Gryseels, P. Sudhir, and K. T. Tan, “Unlocking Indonesia ’ s digital opportunity,” no. October, pp. 1–28, 2016.
[2] M. A. P. Sari, “Inovasi Pelayanan Publik di Badan Penanaman Modal dan Pelayanan Terpadu (BPMPT) Kabupaten Kubu Raya,” J. Borneo Adm., vol. 10, no. 2, pp. 214–234, 2014, [Online]. Available: http://samarinda.lan.go.id/jba/index.php/jba/article/view/174.
[3] E. M. Rogers, Diffusion of Innovation, 4th edition. New York: New York : Free Press, 1995.
[4] S. J. H. Shiau, C. Huang, C. Yang, and J. Juang, “A Derivation of Factors Influencing the Innovation Diffusion of the OpenStreetMap in STEM Education,” pp. 1–29, 2018, doi: 10.3390/su10103447.
[5] B. P. Statistik, “Tingkat Partisipasi Angkatan Kerja 2018-2020,” Badan Pusat Statistik DKI Jakarta, 2019. .
[6] M. Kasiram, Metodologi Penelitian: Kualitatif - Kuantitatif, Cet. 2. Yogyakarta: UIN-Maliki Press, 2010.
[7] Prof. Dr. Sugiyono, Metode Penelitian Pendidikan (Pendekatan Kuantitatif, Penelitian Kualitatif, dan R&D). 2008.
[8] B. C. Lee, J. O. Yoon, and I. Lee, “Learners’ acceptance of e-learning in South Korea: Theories and results,” Comput. Educ., vol. 53, no. 4, pp. 1320–1329, 2009, doi: 10.1016/j.compedu.2009.06.014.
[9] K. Elena, W. S. Detmar, and L. C. Norman, “Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre- Adoption and Post-Adoption Beliefs,” MIS Q., vol. 23, no. 2, pp. 183–213, 2012, [Online]. Available: http://www.jstor.org/stable/249751 .
[10] E. K. Ghani and N. A. Khalil, “Adoption intention of e-wallet services among small medium enterprises in retail industry: An application of the diffusion of innovation theory factors influencing,” Univ. y Soc., vol. 13, no. 5, pp. 53–64, 2021.
[11] G. D. Garson, 2016 Edition 2016 Edition. 2016.