1. Home
  2. Vol 9, No 1 (2023)
  3. Muhammad

Analisis Persepsi Penggunaan Sistem Registrasi Online pada Pasien Rawat Jalan RSUD Kota Madiun dengan Pendekatan UTAUT

DOI: 10.29241/jmk.v9i1.1398

Author

Ilham Nur Muhammad(1), Hariyono Hariyono(2), Ratna Wardani(3*)

(1) Institut Ilmu Kesehatan Strada Indonesia
(2) Institut Ilmu Kesehatan Strada Indonesia
(3) Institut Ilmu Kesehatan Strada Indonesia
(3*) Corresponding Author

Full Text

Full Text: View / Download PDF

Article Metrics

Abstract View : 523 times; PDF Download : 429 times

Abstract

Perkembangan teknologi informasi dan komunikasi yang semakin pesat satu dekade ini mencakup berbagai sektor termasuk bidang kesehatan. RSUD Kota Madiun membuat inovasi baru di tahun 2021 dengan mengimplementasikan sistem informasi untuk registrasi pasien rawat jalan sebagai perkembangan sekaligus solusi untuk berbagai keterbatasan yang ada sejak pandemi covid-19. Sistem registrasi pasien online di RSUD Kota Madiun telah berjalan selama hampir satu tahun dengan mencatatkan lebih dari tujuh ribu pasien yang telah menggunakannya. Untuk menganalisis faktor-faktor  yang mempengaruhi Behavioral Intention pasien rawat jalan RSUD Kota Madiun terhadap sistem registrasi online berdasarkan model UTAUT (Universal Theory of Acceptance and Use of Technology). Kuesioner berdasarkan UTAUT diberikan pada 164 responden yang merupakan pasien rawat jalan RSUD Kota Madiun. Analisis data penelitian dilakukan dengan metode Partial Least Square menggunakan Smart PLS 3.0. Pengaruh konstruk model UTAUT terhadap Behavioral Intention yaitu, Performance Expectancy (p=0,000), Effort Expectancy (p=0,019), Social Influence (p=0,127), Facilitating Condition (p=0,386), Hedonic Motivation (p=0,000), dan Habit (p=0,287). Behavioral Intention dipengaruhi secara bermakna oleh performance expectancy, effort expectancy, dan hedonic motivation. Sementara itu tidak dengan social influence, facilitating condition, dan habit. Usia, Jenis Kelamin, dan Pengalaman berperan sebagai variabel moderasi pada beberapa konstruk model UTAUT.


Keywords

Registrasi pasien online, UTAUT, Behavioral Intention)

References

Aggelidis, V.P. and Chatzoglou, P.D. (2009) ‘Using a modified technology acceptance model in hospitals’, International Journal of Medical Informatics, 78(2), pp. 115–126. Available at: https://doi.org/10.1016/j.ijmedinf.2008.06.006.

Alam, M.., Hu, W. and Barua, Z. (2018) ‘Using the UTAUT Model to Determine Factors Affecting Acceptance and Use of Mobile Health (mHealth) Services in Bangladesh Mohammad’, Journal of Studies in Social Sciences, 17(2), pp. 137–172.

Chiu, T.M.L. and Eysenbach, G. (2010) ‘Stages of use: Consideration, initiation, utilization, and outcomes of an internet-mediated intervention’, BMC Medical Informatics and Decision Making, 10(1), pp. 1–11. Available at: https://doi.org/10.1186/1472-6947-10-73.

Diño, M.J.S. and De Guzman, A.B. (2015) ‘Using Partial Least Squares (PLS) in Predicting Behavioral Intention for Telehealth Use among Filipino Elderly’, Educational Gerontology, 41(1), pp. 53–68. Available at: https://doi.org/10.1080/03601277.2014.917236.

Gu, D., Khan, S. and Khan, I.U. (2021) ‘Assessing the Adoption of e-Health Technology in a Developing Country : An Extension of the UTAUT Model’, SAGE Open, pp. 1–16. Available at: https://doi.org/10.1177/21582440211027565.

Hoque, M.R., Bao, Y. and Sorwar, G. (2017) ‘Investigating factors influencing the adoption of e-Health in developing countries: A patient’s perspective’, Informatics for Health and Social Care, 42(1), pp. 1–17. Available at: https://doi.org/10.3109/17538157.2015.1075541.

Hoque, R. (2016) ‘An empirical study of mHealth adoption in a developing country : the moderating effect of gender concern’, BMC Medical Informatics and Decision Making, pp. 1–10. Available at: https://doi.org/10.1186/s12911-016-0289-0.

Isa, S.M. and Wong, K. (2015) ‘Age Differences In Behavioral Intention To Use Internet Marketing : A Comparative Study’, International Journal of Business and Society, 16(3), pp. 386–396.

Jeng, D.J. and Tzeng, G. (2012) ‘Computers & Industrial Engineering Social influence on the use of Clinical Decision Support Systems : Revisiting the Unified Theory of Acceptance and Use of Technology by the fuzzy DEMATEL technique’, Computers & Industrial Engineering, 62(3), pp. 819–828. Available at: https://doi.org/10.1016/j.cie.2011.12.016.

Jogiyanto (2007) Sistem Informasi Keperilakuan Edisi Revisi. Yogyakarta: Penerbit Andi Offset.

Kijsanayotin, B., Pannarunothai, S. and Speedie, S.M. (2009) ‘Factors influencing health information technology adoption in Thailand’s community health centers: Applying the UTAUT model’, International Journal of Medical Informatics, 78(6), pp. 404–416. Available at: https://doi.org/10.1016/j.ijmedinf.2008.12.005.

Lee, M.C. (2009) ‘Predicting and explaining the adoption of online trading: An empirical study in Taiwan’, Decision Support Systems, 47(2), pp. 133–142. Available at: https://doi.org/10.1016/j.dss.2009.02.003.

Magsamen-conrad, K. et al. (2015) ‘Computers in Human Behavior Bridging the divide : Using UTAUT to predict multigenerational tablet adoption practices’, Computers in Human Behavior, 50, pp. 186–196. Available at: https://doi.org/10.1016/j.chb.2015.03.032.

Nikolopoulou, K., Gialamas, V. and Lavidas, K. (2020) ‘Acceptance of mobile phone by university students for their studies: an investigation applying UTAUT2 model’, Education and Information Technologies, 25(5), pp. 4139–4155. Available at: https://doi.org/10.1007/s10639-020-10157-9.

Novianti, N. and Baridwan, Z. (2010) ‘Faktor-Faktor Yang Mempengaruhi Minat Pemanfaatan Sistem Informasi Berbasis Komputer Dengan Gender Sebagai Variabel Moderating’, Jurnal Akuntansi Multiparadigma, 1(3), pp. 393–408.

Ramllah and Nurkhin, A. (2020) ‘Analysisi of Factors Affecting Behavioral Intention to Use E-Learning Uses the Unified Theory of Acceptance and Use of Technology Approach’, International Conference on Economics, Business and Economic Education 2019, pp. 1005–1025. Available at: https://doi.org/10.18502/kss.v4i6.6658.

Sa’idah, N. (2017) ‘Analisis Penggunaan Sistem Pendaftaran Online (E-Health) Berdasarkan Unified Theory Of Accepptance And Use Of Technology (UTAUT)’, 5, pp. 72–81.

Sahu, G.P. and Singh, M. (2017) ‘Factors influencing consumer’s Behavioral intention to adopt IRCTC connect mobile application’, Factors Influencing Consumer’s Behavioral Intentio, pp. 3–15. Available at: https://doi.org/10.1007/978-3-319-68557-1_1.

Saputra, M., Maulidya Izzati, B. and Rahmadiani, J. (2021) The Acceptance of Government Resource Planning System Using Unified Theory of Acceptance and Use of Technology 2, Journal of Information System).

Venkatesh, V. et al. (2003) ‘User Acceptance of Information Technology: Toward a Unified View’, MIS Quartely, 27(3), pp. 425–478. Available at: https://doi.org/https://doi.org/10.2307/30036540.

Venkatesh, V., Thong, J.Y.L. and Xu, X. (2012) ‘Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology Author(s)’:, MIS Quartely, 36(1), pp. 157–178. Available at: https://doi.org/https://doi.org/10.2307/41410412.

Wills, M.J., El-gayar, O.F. and Bennett, D. (2008) ‘Examining Healthcare Professionals’ Acceptance of Electronic Medical Records Using Utaut’, Issues In Information Systems, 9, pp. 396–401. Available at: https://doi.org/10.48009/2_iis_2008_396-401.

Yuan, S. et al. (2015) ‘Keep Using My Health Apps: Discover Users’ Perception of Health and Fitness Apps with the UTAUT2 Model’, Telemedicine and e-Health, 21(9), pp. 735–741. Available at: https://doi.org/10.1089/tmj.2014.0148.

Refbacks

  • There are currently no refbacks.




Copyright (c) Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.