Analysis of E-Government Health Application Features Acceptance on Partner Applications During COVID-19

Abstract

This study analyzes the factors that influence public acceptance of E-Government Health Application feature on partner applications. The current phenomenon in the health sector is the emergence of COVID-19 which has a very fast rate of human-to-human spread. To handle these cases, the government evaluates and looks for new innovations by cooperating with new partners and making E-Government Health Application feature accessible through partner applications to make it easier for the public. The successful use of the system is influenced by the acceptance and use of the individual who uses it. The research model used in this study is a modified UTAUT2 model with a total sample of 250 respondents. Model testing is done by statistical analysis using SmartPLS software. It was found that Facilitating Conditions and Behavioral Intention variables had a positive and significant effect on Use Behavior variable with t-statistic of 3.659 and 4.505. Habit had a positive and significant effect on Behavioral Intention and Use Behavior variables with t-statistic of 7.939 and 3.232. Meanwhile, the Experience moderating variable affects the Facilitating Condition on Behavioral Intention variable and affects the Behavioral Intention on Use Behavior variable with t-statistics of 2.069 and 1.972

Evaluation of Success and Failure Factors for Maternal and Child Health in Integrated Healthcare Center Information Systems (IHCIS) Using the HOT-Fit Method

“…Outer model measurements are assessed based on three criteria: convergent validity, discriminant validity, and composite reliability [36]. Convergent validity is based on the loading factor value (correlation of item scores with construct scores) in each construct; the ideal loading factor value is > 0.7 [37]. Meanwhile, discriminant validity testing is assessed by comparing the AVE root value in each construct with the correlation between one construct and another in the model; the minimum accepted AVE value is 0.50 [38].…”