Authors :
Boe Tong Widada; Syarif Hidayatullah; Nanik Sisharini
Volume/Issue :
Volume 8 - 2023, Issue 7 - July
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/4st2hspr
DOI :
https://doi.org/10.5281/zenodo.8204912
Abstract :
This research is based on the main problem,
namely the worldwide pandemic outbreak caused by
Severe Acute Respiratory Syndrome Coronavirus 2
(SARS-CoV-2) aka COVID-19. As the virus began to
spread globally on earth, the World Health Organization
(WHO) announced on 30 January 2020 that COVID-19
was a Public Health Emergency of International Concern
(PHEIC). The PeduliLindungi (Contact Tracing)
application relies on the support of the community to
share location data with the server when traveling or to
public places where there are crowds of people (train
stations, malls) so that tracing the history of contact
records with sufferers of COVID-19 can be done with the
help of a computer. The study was used to examine the
effect of System Quality (X1) Information Quality (X2)
Service Quality (X3) as the independent variable and Net
Benefit as the Dependent variable (Y2) through User
Satisfaction (Y1). Data processing includes analysis of
reliability, validity, normality test, multicollinearity,
heteroscedasticity, and autocorrelation. This research
uses quantitative analysis through the use of the Path
Analysis Method which is intended to determine the
magnitude of the influence of the independent variables
on the dependent variable. Respondents were
Postgraduate students at the Merdeka University Malang
class of 2020 and 2021. The research was carried out by
distributing a questionnaire via the Google form via
Whatsapp with a Lickert scale. The research studied the
direct and indirect relationship between System Quality
(X1) Information Quality (X2) Service Quality (X3) as an
independent variable and Net Benefit as a Bound variable
(Y2) through User Satisfaction (Y1). From the results of
the regression analysis, the coefficient that links the
dependent and independent variables is obtained.
Keywords :
quality, system, information, net benefit, Application, PeduliLindungi.
This research is based on the main problem,
namely the worldwide pandemic outbreak caused by
Severe Acute Respiratory Syndrome Coronavirus 2
(SARS-CoV-2) aka COVID-19. As the virus began to
spread globally on earth, the World Health Organization
(WHO) announced on 30 January 2020 that COVID-19
was a Public Health Emergency of International Concern
(PHEIC). The PeduliLindungi (Contact Tracing)
application relies on the support of the community to
share location data with the server when traveling or to
public places where there are crowds of people (train
stations, malls) so that tracing the history of contact
records with sufferers of COVID-19 can be done with the
help of a computer. The study was used to examine the
effect of System Quality (X1) Information Quality (X2)
Service Quality (X3) as the independent variable and Net
Benefit as the Dependent variable (Y2) through User
Satisfaction (Y1). Data processing includes analysis of
reliability, validity, normality test, multicollinearity,
heteroscedasticity, and autocorrelation. This research
uses quantitative analysis through the use of the Path
Analysis Method which is intended to determine the
magnitude of the influence of the independent variables
on the dependent variable. Respondents were
Postgraduate students at the Merdeka University Malang
class of 2020 and 2021. The research was carried out by
distributing a questionnaire via the Google form via
Whatsapp with a Lickert scale. The research studied the
direct and indirect relationship between System Quality
(X1) Information Quality (X2) Service Quality (X3) as an
independent variable and Net Benefit as a Bound variable
(Y2) through User Satisfaction (Y1). From the results of
the regression analysis, the coefficient that links the
dependent and independent variables is obtained.
Keywords :
quality, system, information, net benefit, Application, PeduliLindungi.
