ABSTRACT
COVID-19 has changed the Indonesian people's shopping habits for consumer goods. The online retail application came as a response to social distancing and stay-at-home advice. KlikIndomaret is an online retail application that uses the omnichannel concept. As the number of downloads increased, the number of various comments and sentiments on that application also increased. In this study, the researcher did a sentiment analysis aimed to improve the quality of application experiences and retail services. The result of the analysis reflected the services given to customers thus far. The data included reviews and star ratings derived from 4,066 reviews which went under the process of data pre-processing. The methods used in this study were VADER and NLTK, improved by Transformer, without pre-training data. These methods could filter the users' reviews with sarcasm tone. The results were sentiment labels that were appropriate based on the score comparison of positive and negative sentiments in one user's review. This approach made the review sentiment process of thousands of data faster and more accurate. © 2022 IEEE.
ABSTRACT
The coronavirus 19 pandemic is an extraordinary calamity that has unexpectedly struck across the world. This calamity has changed various aspects of human life activities to prevent the spread of a very dangerous and deadly disease. The role of information technology as a social media for the community is important in reducing direct social interaction between humans. Therefore, transmission of coronavirus 19 can be prevented. With no exception, social life related to the public education activities are changing as well. This study is intended to see the impact of changes in social interaction in the online education process using information technology facilities on the changes in student personality behavior patterns. Students who were the objects of the research are engineering and non-engineering collage students. The purpose of the study to obtain important information about the possibility of changes in the student's personality behaviour patterns after using information technology for some time in the teaching-learning process. It is the first step for further exploration in reducing the negative impact of online technology to support the teaching-learning process during coronavirus 19 pandemic. The results showed that online learning made both engineering and non-engineering students more introversion, antagonist, lack of direction, neuroticism, and closedness to experience. In terms of the differences between engineering and non-engineering students, it is found that online learning encourages engineering students to be more individualistic, asocial, impolite, and irresponsible compared to non-engineering students. In other words, online learning had more effects toward the personality patterns of engineering students than non-engineering students. © 2021 ACM.