Open Access
Issue |
E3S Web Conf.
Volume 359, 2022
The 7th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2022)
|
|
---|---|---|
Article Number | 05010 | |
Number of page(s) | 10 | |
Section | Information System Management and Environment | |
DOI | https://doi.org/10.1051/e3sconf/202235905010 | |
Published online | 31 October 2022 |
- Satgas Covid-19 (2021) Peta Sebaran Covid-19. Available at: https://covid19.go.id/peta-sebaran-covid19 (Accessed: 11 November 2021). [Google Scholar]
- Kemenkes RI (2020) ‘Panduan Singkat Pelacakan Kontak (Contact Tracing) untuk Kasus COVID-19’, Kementerian Kesehatan RI Direktorat Jenderal Pencegahan dan Pengendalian Penyakit, pp. 1–23. [Google Scholar]
- Kementerian Kesehatan RI (2021) Level Asesmen Situasi COVID-19. Available at: https://pusdatin.kemkes.go.id/article/view/21082400001/level-asesmen-situasi-penanggulangan-covid-19.html. [Google Scholar]
- Negari, N. and Eryando, T. (2021) ‘Analisis Penerimaan Sistem Informasi Pencatatan dan Pelaporan Kasus Covid-19 (Aplikasi Silacak Versi 1.2.5) Menggunakan Technology Acceptance Model (TAM) di UPT Puskesmas Cipadung Kota Bandung’, Bikfokes, 1(3), pp. 160–176. [CrossRef] [Google Scholar]
- Jogiyanto (2007) Sistem Informasi Keperilakuan. Yogyakarta: ANDI. [Google Scholar]
- Davis, F.D. (1989) ‘Perceived usefulness, perceived ease of use, and user acceptance of information technology’, MIS Quarterly: Management Information Systems, 13(3), pp. 319–339. doi:10.2307/249008. [CrossRef] [Google Scholar]
- Davis, F.D. (1985) ‘A technology acceptance model for empirically testing new end-user information systems: Theory and results’, Management, Ph.D.(May), p. 291. doi:oclc/56932490. [Google Scholar]
- Adamson, I. and Shine, J. (2003) ‘Extending the New Technology Acceptance Model to Measure the End User Information Systems Satisfaction in a Mandatory Environment: A Bank’s Treasury’, Technolgy Analysis & Strategic Management [Preprint]. [Google Scholar]
- Yuniarsih, T. and Suwanto (2009) Manajemen Sumber Daya Manusia. Bandung: Alfabeta. [Google Scholar]
- Wu, J.H. et al. (2008) ‘Testing the technology acceptance model for evaluating healthcare professionals’ intention to use an adverse event reporting system’, International Journal for Quality in Health Care, 20(2), pp. 123–129. doi:10.1093/intqhc/mzm074. [Google Scholar]
- Mathieson, K. (1991) ‘Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior’, Information Systems Research, 2, pp. 173–191. [CrossRef] [Google Scholar]
- Sandi A, A.S., Soedjiono, B. and Nasiri, A. (2022) ‘USE OF TAM FOR EVALUATION OF INTERNSHIP INFORMATION SYSTEM’, TAM (Technology Acceptance Model), 13, pp. 44–50. [CrossRef] [Google Scholar]
- Putra, D.M. and Hunna, C.M. (2022) ‘Analisis Pelaksanaan SIMRS Pada Unit Kerja Rekam Medis Dengan Metode Technology Acceptance Model ( TAM ) Analysis Of Implemetation Of SIMRS In Medical Recording Unit With Technology Acceptance Model ( TAM ) Method Rekam Medis dan Informasi Kesehatan STIKE’, 5(1), pp. 47–58. [Google Scholar]
- Taylor, S. and Todd, P.A. (1995) ‘Understanding Information Technology Usage: A Test of Competting Models’, Information Systems Research, pp. 145–176. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.