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The COVID-19 epidemic declared as a pandemic declared by the World Health Organization (WHO), In March 2020, this provides an opportunity for e-Wallet to continue to grow and meet rapid growth due to new consumer behavior, namely the adaptive shopper. The adaptive shopper is an adaptation behavior of the people to meet needs and wants through online shopping. The purpose of this study is to determine the factors that influence the behavioral intention of using e-Wallets during the COVID-19 pandemic in DKI Jakarta uses the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. This research data was collected through distributing questionnaires to millennial e-Wallet users with an age range of 24 to 40 years in DKI Jakarta. Using the Structural Equation Modeling method with the Partial Least Square (SEM-PLS) approach and using the SmartPLS version 3 software for data analysis in this study. The results showed that performance expectancy and facilitating conditions had an influence on behavioral intention, while the effort expectancy, social influence, price value, and perceived security have no influence on behavioral intention or behavioral intention of e-Wallet users during the COVID-19 pandemic in DKI Jakarta. Based on the results of this research, it shows that during the COVID-19 pandemic, availability and supporting resources are needed in using e-Wallet and there are benefits that are obtained by users such as increasing productivity, increasing opportunities, and efficiency. This can have an influence on behavioral intention or behavioral intentions of e-Wallet users.

For the last decades, social media has become as one of the learning media used by university students. In this part, the phenomena evolved in many countries. In line with this, early research reported the impact of learning using social media by researchers, both positive and negative impact on the university student. However, the researchers encountered demanding effort to obtain the research report on the causal impact of university student background, such as academic achievement, terms, and student social media behavioural activities. This ceaseless research attempts to explore the gap attributed. Therefore, this quantitative and causal or explanatory research will convey the social media impact of behavioural use for the learning of university student. The research involved 336 university students as the respondent in this research. Technically, SPPS application is used to process the data with Correlation Bivariate technique. The research found 29 correlations regarding the university student background and the activities of using media social for learning and a debatable result emerged from early research eventually.