Technology Acceptance Model in One Stop Service Systems during the Covid-19 Pandemic

Evaluation of the user acceptance level assessment performance of the One-Stop Service (OSS) system during the Covid-19 pandemic is very important to assess and measure the success and failure of implementing a public policy. This study aims to determine the level of user acceptance of the performance of the OSS Service system which is an activity or process to assess how far implementation of the OSS as a public policy during the Covid-19 pandemic can produce results, substance, implementation and impact for users and public service providers. The statistical analysis method is used to evaluate the technology acceptance model. The analysis process for data quality testing using validity and reliability tests of product-moment Pearson Correlation, and the hypothesis testing using multiple regression analysis. The F-test Anova and T-test coefficient results show that the user's perception of the system is easy to use and useful to complete their work. The Perceived Ease of Use and Perceived Usefulness can explain 51.4% of the changes that occur in the OSS system of user's acceptance (the user acceptance predicted degree of 51.4%). The evaluation results of this work an implication that the success of OSS system acceptance depends on user perceptions. If users think that the system is easy to use and useful, they will more easily accept the system in their work. For decision-makers, the evaluation results are recommended to conduct trials and training on users before the official system is implemented as a public policy. Keywords - technology-acceptance-model, one-step-service, public-service, usefulness, ease-of-use.