ANALYSIS OF THE USE OF ONLINE REGISTRATION APPLICATIONS USING THE TECHNOLOGY ACCEPTANCE MODEL (TAM) APPROACH AT ARIFIN ACHMAD HOSPITAL, RIAU PROVINCE
DOI:
https://doi.org/10.54973/jham.v4i1.278Keywords:
Online Registration, Technology, MIRAIAbstract
MIRAI is an online registration application launched by Arifin Achmad Hospital, Riau Province. To
find out the extent to which the utilization and views of the public regarding the MIRAI online
registration application, it is necessary to test the technology acceptance model. The technology
acceptance model is a theory that explains the state of technology users accepting and using
technology. The variables used by the researcher are the perception of the ease of using technology
and the perception of the usefulness of technology to determine a person's behavior in using
technology. The general objective of this study is to determine the effect of the technology acceptance
model on online registration at the Arifin Achmad Hospital, Riau Province.
This research used a quantitative descriptive research design with purposive sampling method
according to the researcher's criteria and a sample of 99 users of the MIRAI online registration
application. This research was conducted on June 22 – July 29, 2022 at the heart disease polyclinic
and internal medicine polyclinic at the Arifin Achmad Hospital, Riau Province.
The results showed that the perception of convenience can affect a person's attitude towards the use
of the MIRAI online registration application through a linearity test of 0.094. And the perception of
usefulness can affect a person's attitude towards the use of the MIRAI online registration application
through a linearity test of 0.086, so that both hypotheses are significant because the value > 0.05
obtained from data processing through the SPSS 26.0 application.
The conclusion of this research is the implementation of the TAM acceptance model that has been
made has obtained the factors that affect user acceptance of the use of MIRAI and the variables there
is an influence. The suggestion from this research should then be able to develop a TAM research
model using more variables.
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