Public Acceptance Of Pedulilindungi Application In The Acceleration Of Corona Virus (Covid-19) Handling

research
  • 15 Dec
  • 2020

Public Acceptance Of Pedulilindungi Application In The Acceleration Of Corona Virus (Covid-19) Handling

Coronavirus Disease (COVID 19) is a subject of ongoing scientific discussion in
Indonesia and the world, COVID-19 confirmed cases continue to grow in Indonesia, this is
influenced by the factor of the lack of more knowledge and awareness that some people have
for the disease. Application PeduliLindungi was made by the Ministry of Communication
and Information together with several state-owned agencies and Badan Usaha Milik Negara
(BUMN) aimed at helping government agencies break the chain of transmission of COVID-19.
Sample data from Technology Acceptance Model (TAM) is used to check the acceptance of
the use of the application PeduliLindungi from 115 active respondents spread across Indonesia
for analysis using SmartPLS. The analysis shows that the ease of use of the PeduliLindungi
application greatly influences the usability and attitude in using it. The attitude in the use and
usefulness of application PediliLindungi greatly influences the intention to use it. The use of
the application PeduliLindungi has very little effect on the attitude to use it. In Conclusion the
use of the applaication PeduliLindungi will increase because of the ease of use, it also indicates
the level of acceptance of the application


Unduhan

 

REFERENSI

[1] Abe and D. McQueen. 2020. The COVID-19 pandemic calls for spatial distancing and social closeness: not
for social distancing !
, International Journal of Public Health, p. 65: 231
[2] Suryaatmadja and N. Maulani. 2020. Contributions Of Space Technology Toglobal Health In The Context Of
Covid-19
, Indonesian Health Administration Journal, Vol. 1, no. 2020, pp. 60-73
[3] FD Davis. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,
IT Usefulness and Ease of Use, Vol. 13, pp. 313-340
[4] M. Letchumanan and B. Muniandy. 2013. Migrating to e-books: A study on perceived usefulness and ease of
use.
HiTech News Library,Vol. 7, pp. 10-15
[5] F. Setianto and S. Suharjito, Analysis of the Acceptance of Use for the Document Management System Using
the Technology Acceptance Model
[6] PB Lowry and J. Gaskin. 2014. Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building
and Testing Behavioral Causal Theory: When to Choose It and How to Use It,
Transactions on Professional
Communication, Vol. 57, pp.
123-146
[7] WW Chin and PR Newsted. 1999. Structural Equation Modeling Analysis with Small Samples Using Partial
Least Square,
Statistical Strategies For Small Sample Research
[8] V. Venkatesh, JYLL Thong and XinXu. 2012.
Consumer Acceptance and Use of Information Technology:
Extending the Unified Theory of Acceptance and Use of Technology,
MIS Quartely, Vol. 36, pp. 157-18
[9] BE Prince and KA Bakon. 2016. A Study on The Need to Implement a Courier Service Application on Android
Smartphones,
International Journal of Information Systems and Engineering, Vol. 4
[10] A. Subiyakto, AR Ahlan, M. Kartiwi and HT Sukmana. 2015. Influences of the Input Factors towards the
Success of an Information System Project,
TELKOMNIKA, Vol. 13, p. 686 - 693
[11] C. Fornell and DF Larcker. 1981. Evaluating Structural Equation Models with Unobservable Variables and
Measurement Errors,
Journal of Marketing Research, Vol. 18, pp. 39-50
[12] D. Straub, M.-C. Boudreau and D. Gefen. 2004. Validation Guidelines for IS Positivist Research,
Communications of the Association for Information Systems, Vol. 13, pp. 380-427
[13] I. Ajzen and M. Fishbein. 1977. Attitude-Behavior Relations: A Theoretical Analysis and Review of Empirical
Research,
Psychological Bulletin, Vol. 84, pp. 888-918
[14] M. Sarstedt, CM Ringle and JF Hair. 2017. Partial Least Squares Structural Equation Modeling, Handbook
of Market Research
[15] NB KURLAN. 1995.
Ethical Intentions and the Theories of Reasoned Action and Planned Behavior, Journal
of Applied Social Psychology. Vol. 25, pp.
293-313
[16] AP. Acheampong, LZA Antwi, AAA Otoo, WG Mensah and PB Sarpong. 2017. Hybridizing an Extended
Technology Readiness Index with Technology Acceptance Model (TAM) to Predict E-Payment Adoption in
Ghana,
AMERICAN JOURNAL OF MULTIDISCIPLINARY RESEARCH, Vol. 5
[17] NK Jokara, SA Noorhosseinia, MS Allahyarib and CA Damalasc. 2017. Consumers’ acceptance of medicinal
herbs: an application of technology acceptance model (TAM),
Journal of Ethnopharmacology
[18] AM Mutahar and NM Daud. 2018.
The effect of awareness and perceived risk on the technology acceptance
model (TAM): mobile banking in Yemen,
Int. J. Services and Standards, Vol.1
[19] B. Wu and X. Chen. 2016. Continuing intention to use MOOCs: Integrating the technology acceptance model
(TAM) and task technology fit (TTF) model,
Computers in Human Behavior, pp. 1-12
[20] H. Gangwar, H. Date and R. Ramaswamy. 2015. Understanding determinants of cloud computing adoption
of the integrated TAM-TOE model
Journal of Enterprise Information Management, Vol. 28, pp. 107 - 130