Faktor-Faktor yang Mempengaruhi Minat Institusi Pendidikan dalam Menerapkan Sistem Pembayaran Online

Sintya Rosdwianty  -  Institut Pertanian Bogor, Indonesia
*Mukhamad Najib orcid scopus  -  Institut Pertanian Bogor, Indonesia
Siti Jahroh  -  Institut Pertanian Bogor, Indonesia
Received: 27 May 2020; Revised: 21 Jun 2020; Accepted: 26 Jun 2020; Published: 8 Jul 2020; Available online: 8 Jul 2020.
Open Access
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Abstract

The growth of financial technology is increasing very rapidly, followed by the number of players in this industry. However, society’s digital literacy still needs to be developed. PT Infra Digital Nusantara is one of financial technology start-up that focuses on online payment transactions in the education sector. Offering the financial system, especially online payment to an education institution, yet PT IDN is still struggling to gain new customers. In this study, the factors that affecting the interest and needs to implement online payment for education sectors were analyzed. Data processing was performed using the method of Structural Equation Modelling-Partial Least Square (SEM PLS). Target survey respondents were the customers of PT IDN. The results showed that Perceived Usefulness, Perceived Ease of Use, Attitude towardUsingTechnology, and Behavior Intention to Use had significant factors in affecting The Actual Use of the System. This is indicated by t-valuesof all hypotheses are above 1.96 at the 95% significance level.Hence, Perceived Usefulness, Perceived Ease of Use of the system and Attitude toward Using Technology, as the key determinant factors of technology acceptance, needs to be maintained carefully.

Keywords: Education Sectors; Financial Technology; Online Payment; Technology Acceptance Model.

Article Metrics:

  1. Afifah, A.N., Najib, M., Sarma, M., & Leong, Y.C., 2018. Digital marketing adoption and the influences towards business successes of MSMEs creative sector in Indonesia and Malaysia. Journal of Applied Management 16(03), 377-386
  2. Alfa, A.A.G., Rachmatin, D., Agustina, F., 2017. Analisis pengaruh faktor keputusan konsumen dengan Structural Equation Modeling Partial Least Square. Jurnal Eurekamatika 05(02), 59-71
  3. Bank Indonesia, 2019. Teknologi Finansial. Website: https://www.bi.go.id/id/sistem-pembayaran/fintech/Contents/default.aspx, diaksestanggal 12 Desember 2019
  4. Ciptaningsih, E. M. S. S., 2011. Kajian penerimaan penggunaan e-commerce dengan metode Technology Acceptance Model, studi kasus pada perusahaan maskapai penerbangan di Indonesia, Tesis, Institut Pertanian Bogor, Bogor
  5. Daily Social, 2019. Fintech Report 2019. Website: https://dailysocial.id/post/fintech-report-2019, diaksestanggal 1 Desember 2019
  6. Davis, F. D., 1980. A technology acceptance model for empirically testing new end-user information systems: theory and results, Disertasi, Massachusettts Institute of of Technology, Cambridge
  7. Fatmawati, E., 2015. Technology Acceptance Model untuk menganalisis penerimaan terhadap sistem informasi perpustakaan. Jurnal Perpustakaan dan Informasi 09(01), 1-13
  8. Ghozali, I., Fuad., 2008. Structural Equation Model: Teori, Konsep, dan Aplikasi dengan Program Lisrel 8.80. Badan Penerbit Universitas Diponegoro, Semarang
  9. Gunda, S. K,. 2014. Evaluating the acceptance of internet banking as perceived by Indian SMEs: A quantitative study based on Unified Theory of Acceptance and Use of Technology, Disertasi, Capella University, Minnesota
  10. Hair, J.F., Risher, J. J., Sarstedt, M., Ringle, C. M., 2019. When to use and how to report the results of PLS-SEM. European Business Review 31(01), 2-24
  11. Lai, P. C., 2017. The literature review of technology adoption models and theories for the novelty technology. Journal of Information System and Technology Management 14(01), 21-38
  12. Latan, H., Ghozali, I., 2012. Partial Least Squares konsep, teknik, dan aplikasi menggunakan program Smart PLS 3.0. Universitas Diponegoro, Semarang
  13. Monecke, A., Leisch, F., 2012. SEM PLS: Structural Equation Modeling using Partial Least Squares. Journal of Statistic Software48(03), 1-32
  14. Murdiyanti, N., Hermadi, I., Santoso, J., 2016. Analisis pemanfaatan system preservasi arsip web Indonesia menggunakan technology acceptance model, studi kasus pada Perpustakaan Nasional RI. Jurnal Pustakawan Indonesia15 (1-2), 28-38
  15. Nurlaela, S., Sumarwan, U., & Najib, M., 2019. Determinants of online journey and its influence on online customer satisfaction associated with online customer loyalty. International Journal Electronic Marketing and Retailing10(03), 230-243
  16. Olushola, T. & Abiola, J. 2017., The efficacy of Technology Acceptance Model: a review of applicable theoretical models in information technology researches. Journal of Research in Business and Management 04(11), 70-83
  17. Parent Pay, 2020. Website: https://www.parentpay.com/schools/about-us/,diakses tanggal 18 Maret 2020
  18. Surendran, P., 2012. Technology Acceptance Model: A survey of literature. International Journal of Business and Social Research 2(04), 175-178
  19. Wijanto, S. H., 2008. Structural Equation Modelling dengan Lisrel 8.8 Konsep dan Tutorial. Graha Ilmu, Yogyakarta

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