ABSTRACT
With Covid-19 limiting social interaction to prevent the spread of viral infections, the education sector in Indonesia, 'forced' schools and higher education to carry out online learning. However, there is a concern that online learning may affect the students' ethical behavior. As there is no human interaction, students are getting used to not meeting people or socializing, so they tend to ignore ethical norms in socializing. The purpose of the study is to find out if students' ethical behavior is related to interpersonal and communication skills. The study used a quantitative method with a sample of 132 active students at the Creativepreneurship Study Program using purposive sampling. The findings showed online learning supports communication and interpersonal skills, but unable to form students' ethical behavior. Online learning behavior, online courses require definite objectives, inner motives, synchronous feedback, and independence of the learners. Even though there are rules regarding ethical behaviour, the rules themselves are not able to influence the student's ethical behavior. Online learning and students' behavior is not only the responsibility of the lecturer, but also the responsibility of the students and their parents. © 2022 IEEE.
ABSTRACT
The abrupt shift of teaching and learning to the online mode due to the Covid-19 outbreak has inevitably called for technology integration to better engage students in online instruction. This call includes the possibility to enact podcast in an English as a foreign language (EFL) class, particularly in speaking. However, despite the increasing number of studies on the benefits of podcasting for language teaching and learning, little attention has been paid to EFL students' engagement in self-created podcast at the micro-level of instruction. Thus, this study aimed to fill this void by enquiring how students engage in podcast-based speaking activities and what drives their engagement. It involved 23 EFL students at a public university in West Nusa Tenggara, Indonesia. The data were gleaned from learning portfolios, oral reflections, and students' written narratives in sixteen sessions. The framework of engagement and self-determination theory were employed to carry out thematic analysis. The findings evince that, in general, the students disclosed positive behavioral, cognitive, and emotional engagement in a series of podcast based-speaking activities. More autonomy and competence-supportive learning environment and unbalanced relatednesssupportive learning environment were found to be the contributing factors of students' engagement. In addition to teachers' and students' factors, parents, families, and students' friends beyond the classroom appeared to be other social factors which might affect students' engagement. This study suggests three recommendations for improving podcast-based speaking classrooms in EFL practices. Some possible research topics for extended investigation are also suggested. © 2022 Khusnul Khotimah, Bambang Yudi Cahyono & Deisyi Anna Batunan
ABSTRACT
The COVID-19 pandemic has led to the use of specialized terminology that is either new or beyond the lexical limits of its general usage. The mass media use various language tools to package constructive and destructive ideologies related to the environment, such as euphemisms and dysphemisms. This study discusses the patterns of dysphemism and the effect of using dysphemism in reporting on COVID-19 by the Indonesian mass media. This qualitative descriptive study utilized data collected from several Indonesian online media. Distributional and equivalent techniques were used for data analysis. The results showed that the Indonesian mass media applied four types of dysphemism expression units to report COVID-19, i.e., words, phrases, clauses, and sentences. These dysphemisms generally refer to humans, plants, animals, soil, toxic materials, trash and waste, pollution, destruction of nature, and taboos. In addition, the feelings contained in dysphemism are creepy, awful, disgusting, reinforcing, and disrespectful. There are several reasons for using dysphemism, namely: (a) attracting the reader's attention, (b) confirming speech or strengthening meaning, (c) word variations, (d) provocation, and (e) saving space. Some of the impacts of using dysphemism in society are rude language patterns, irritability, disturbed psychology, and blurred understanding. © 2022 by the authors.
ABSTRACT
Since the occurrence of the Corona-19 virus in 2020, the Ministry of Transportation has issued various policies, including PM No. 18 of 2020, PM No. 25 of 2020, and SE No. 4 of 2020. These policies have certainly had an impact on human movement.The purpose of this study was to see the magnitude of changes in community movement due to a closed environment during the Covid-19 pandemic and the model of community movement during the COVID-19 pandemic. To get a model of community movement that is appropriate by looking at the aspect of the relationship between community movements in DKI Jakarta and the spread of covid as the independent variable in building the model. Data sources for the decline in movement come from related agencies such as the Covid-19 Task Force (https://covid19.go.id/), and Google Mobility Report (GMR).The decrease in community movement due to the COVID-19 pandemic for retail and recreational activities decreased by 37%, grocery and pharmacy decreased by 13%, parking decreased by 48%, transit stations decreased by 61%, workplace decreased by 73%, and residential increased by 22 %. The results of the cubic polynomial modeling between the spread of Corona-19 Virus cases are in line with the independent variable time increment with the model results, namely Y = 5749.095 - 217.504 T + 2,403 T2 + 0.001 T3, with the dependent variable - Y, which is a cumulative case of Corona-19 Virus while the independent variable - X, is the time of the spread of Corona-19 Virus. This means that the number of people who are confirmed positive for the corona-19 virus will increase along with the cubic polynomial from the time after being infected following the Y = 5749.095 - 217.504·T + 2,403 T·2 + 0.001T·3 model.
ABSTRACT
The Novel Coronavirus that just appeared at the end of 2019 was named SARS-COV-2 which caused a pandemic of a respiratory disease known as COVID-19. In Indonesia itself, there was a case of COVID-19 first announced on March 2, 2020. The spread of COVID-19 in Indonesia is so fast because of one factor namely the lack of knowledge about COVID-19 prevention and early detection. This study will discuss the system to provide the latest information about the development of the COVID-19 case in Indonesia and help the community to conduct an independent detection of COVID-19 using an expert system. Information that will later be displayed on this application is obtained by web scraping techniques from the official website of the task force for the acceleration of handling COVID-19 in Indonesia. This system also has an early detection feature using the rule base method expert system. The results of this system are obtained from the responses of respondents and the results of respondents interested in this application with a percentage of 95.12%, and testing about the validation of the results of the expert system is the same as expected. © 2020 IEEE.