The Evaluation Model of the Travel Application as the Impact of the Covid-19 Pandemic and Its Adaptation Simulation

This study aims to determine the impact of the COVID-19 pandemic on ticket sales flight at Tiket.com company. This is because the number of people infected with the Corona Virus is increasing more and more days making it difficult for people to travel during the pandemic. This research belongs to the type of quantitative research due to the data collection method used is a questionnaire method. The population of this study was taken randomly using a questionnaire that where the determination of the object is done by random sampling method. The method used is factor analysis and regression analysis for the model to be built. The results show that at the Tiket.com company there has been a decline in air ticket sales due to the COVID-19 pandemic. The results of the study indicate that there are Smart online booking, Product convinience, Excellent services and Easy access that need to be a concern for the tiket.com online travel agency. The success of the tiket.com online travel application can be carried out by maintain the Smart online booking, Product convinience, Excellent services and then increase the forth factor Easy access. © 2022 IEEE.

User Behavioral Intention to Use Stream Yard Application: The Role of Social Influence and Habit

The rules for studying from home during the COVID-19 pandemic 'forced' schools in Indonesia to conduct distance learning. The change from the face-to-face learning system to online learning has surprised schools, especially teachers. The school must quickly make a decision about the application that will be used as a distance learning tool. The decision to use the application is in the hands of the principal, but the success of using the application depends on the acceptance and use of each individual as a user. One of support application for distance learning is Streamyard. This study trying to determine the user behavioral on the use Streamyard application. The success of using the application, among others, is based on its user behavior. Using the modified UTAUT2 model, this study will analyse the factors that influence the user behavioral intention of the Streamyard application by 40 teachers at Canisius Junior High School Jakarta as case study. The research was conducted by distributing questionnaires with the four Linkert scales. Five variables to be tested are performance expectancy, effort expectancy, social influence, facilitating conditions, habit, behavioral intention, and use behavior, with the moderating variable age. The results of data processing using the SmartPLS3.0 application show that users' behavior is not influenced by their behavioral intention to continue using the Streamyard application. Social influence and habit significantly influence behavioral intention, while age positively moderates habit on behavioral intention. © 2022 IEEE.