ABSTRACT
COVID 19 Pandemic that has hit the world has made online learning become the main option of learning for more than a year. Management of education services and educators develop various innovations in online learning that are able to encourage learners to achieve competencies the same as when offline learning as well as enable learners to participate in the online learning processes. This study aims to find out the extent of peer learning strategy can give an opportunity for learners' self-actualization and can assist them to reconstruct their knowledge so that they can understand more thoroughly and meaningfully. In this research, mix method approached was chosen so that a comprehensive description of data could be attained by collecting them through questionnaire, test, and observation from 80 respondents during the online training processes. Peer teaching is able to make participants feel that they can give influence on their environment, to feel that they can develop themselves more optimally, train creativity, apt to build a condition of learning from one another, build a more dynamic communication, and be appreciated by others. Peer learning is able to construct understanding from the materials leant during the training so that participants have better understanding and are able to apply it to themselves and to share with others as well. Apart from that, Peer learning is able to make participants to actualize themselves even though in the online context. © 2023 American Institute of Physics Inc.. All rights reserved.
ABSTRACT
This study aims to understand the factors that provide student satisfaction in online learning during the COVID-19 pandemic. The unit of analysis of this research involved 581 student respondents who had done online learning. This study uses a quantitative approach with SEM-PLS analysis to answer the three research hypotheses. The factor studied is the relationship between University Support, Online Learning Tools, Technical Support, and Student Satisfaction. The results of the analysis state that all items are valid and reliable with the indicated values of loading factor (LF), Average Variance Extracted (AVE), composite reliability (CR), and Cronbach's alpha (CA) > 0.5. Meanwhile, the value of R2 = 0.545, which means the model is quite representative. The results of the analysis of all hypotheses showed a positive and significant impact on Student Satisfaction. These results indicate that online learning activities during the COVID-19 pandemic really need university support and online learning tools that are well available from devices that can be used by students and teachers and technical support that is ready to solve all problems. © 2022 IEEE.
ABSTRACT
Not all COVID-19 survivors are ready to return to the community. Some of them choose to isolate themselves. This action is based on fears of rejection from the community. This study focuses on the contradictions and self-image of COVID-19 survivors. This study aims to analyse communication experience and the relationship between COVID-19 survivors and their surroundings. The aspects being analysed include motives, rejection, and efforts done by COVID-19 survivors in shaping their self-image using an ethnographic study involving six COVID-19 survivors from various provinces in Indonesia, including Bali, West Sumatera, North Sumatera, East Borneo, and West Java. Research informants were determined by purposive and snowball sampling, and the criteria was having been a COVID patient and being willing to be an informant. Data was collected through interviews and literature review. The results of the interviews were analysed in three stages. It was discovered that a contradictory motive exists in the form of a bad assumption that COVID-19 survivors can still transmit the virus. This is due to the fact that the public is not fully aware of COVID-19 and knowledgeable about it. It was also found that the communication action was successful in overcoming contradictions and restoring the self-image of COVID-19 survivors. The results of the study are expected to contribute to the restoration of self-image and the sustainability of the relationship between COVID-19 survivors and the surrounding environment. © 2022, Penerbit Universiti Kebangsaan Malaysia. All rights reserved.
ABSTRACT
E-learning refers to a technology-based learning system that allows it to be accessed anytime and anywhere. The application of e-learning in the world of education today is very much needed. The Covid-19 pandemic has encouraged to be used as a backup and solution in the learning system. Currently, knowledge management has been widely applied to digital-based learning. In its application, it is necessary to know what methods and models are applied to support the successful implementation of e-learning. It is hoped that this research will find out the knowledge management model for e-learning suitable for educational institutions. This study aims to find out the models and impact that arise in applying knowledge management in e-learning. This research was conducted using a systematic literature review method that took references from ACM, IEEE, ProQuest, ScienceDirect, and Scopus from 2017-2021 with the final paper extracted as many as 16 articles. In using KM to e-learning, using quantitative methods is more widely used. The SECI model can be a solution as a material for analyzing existing KM processes. Several other models can be applied according to the needs and objectives of KM implementation on e-learning. The application results show positive impacts, including improving better perception, user satisfaction, and improving existing knowledge processing. The implementation of KM in e-learning is also one of the success factors needed. © 2022 IEEE.
ABSTRACT
The COVID-19 pandemic affects not only health but also economics, social, and other areas including the television industry. In the midst of several disruptions that have hit the media industry, COVID-19 adds a new problem that is even more devastating to the television industry. Besides the number of television industry workers who have contracted COVID-19 and died, COVID-19 has also caused a crisis for television companies. This research used a qualitative case-study methodology with a subjective paradigm. It aimed to explain in depth the phenomenon of COVID-19 as it affected the television industry. This research used management crisis analysis and was conducted on the Indonesian television industry, including Metro TV and iNews TV. The conclusion of this research revealed that COVID-19 has had negative effects not only in terms of health and deaths, but also in terms of social areas, psychology and economics. Positive effects have also coe about due to COVID-19 in terms of the acceleration of communication technology, an increase in the quantity of television viewing and also an increase in loyalty to the television industry. Changes in the television industry's interaction patterns and working rhythms have also been caused by the COVID-19 pandemic.
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus identified as the cause of the Coronavirus Disease 2019 (COVID-19) outbreak. The gold standard for detecting this virus is polymerase chain reaction (PCR). The electrochemical biosensor method can be an alternative method for detecting several biomolecules, such as viruses, because it is proven to have several advantages, including portability, good sensitivity, high specificity, fast response, and ease of use. This study aims to optimize an electrochemical aptasensor using an AuNP-modified screen-printed carbon electrode (SPCE) with an aptamer to detect RBD protein S SARS-CoV-2. Aptasensors with the streptavidin-biotin system were immobilized on the SPCE/AuNP surface via covalent bonding with linkers to 3-mercaptopropionic acid (MPA) and electrochemically characterized by the [Fe(CN)6]3-/4-redox system using differential pulse voltammetry. The results showed that the immobilized aptamer on the SPCE/AuNP electrode surface experienced a decrease in current from 11.388 to 4.623 µA. The experimental conditions were optimized using the Box-Behnken experimental design for the three factors that affect the current response. The results of the optimization of the three parameters are the concentration of aptamer, incubation time of aptamer, and incubation time of RBD protein S SARS-CoV-2, each of which is 0.5 µg/mL, 40 minutes, and 60 minutes, respectively. The RBD protein S SARS-CoV-2 with various concentrations was tested on an electrochemical aptasensor to determine the detection limit and quantification limit, and the respective results were 2.63 and 7.97 ng/mL. The electrochemical aptasensor that has been developed in this study can be applied to detect RBD protein S SARS-CoV-2 as a COVID-19 biomarker in a simple, practical, and sensitive way. © 2022 by the authors.
ABSTRACT
National governments around the world have made every effort to fight Covid-19. One of which is by building mobile applications that can be used to trace and monitor the citizens' health during this pandemic. These applications are expensive. It requires a significant amount of time and effort to develop and maintain the information systems. Therefore, there is a continuous struggle to identify the key factors influencing the information systems' adoption, utilization, and success. This study was performed to address the problem by identifying parameters that affect the information system success of "10 Rumah Aman (10 Safe Houses)", a community-based application in fighting the Covid-19 pandemic, using the DeLone and McLean (D&M) model. As a result, system quality positively affected the use and user satisfaction. Furthermore, service quality positively influenced use but not user satisfaction. Meanwhile, information quality had no significant effect either on use or satisfaction. Both use and user satisfaction had a significant effect on net benefits. © 2021 ACM.
ABSTRACT
The COVID-19 pandemic has resulted in various responses to activities from the community, one of which is sports activities. Exercise believes in increasing the body's immunity so that during the COVID-19 pandemic, many people exercise. One of the sports that has increased during the COVID-19 pandemic is cycling, which is happening in Indonesia, especially Jakarta. Cycling activities during the COVID-19 pandemic have increased even though, on the other hand, the government is enforcing rules regarding restrictions on social activities to avoid transmission of the COVID-19 virus. This phenomenon has received a response from the Regional Police Chief and the Governor, confiscating bicycles for cyclists who continue to carry out their activities. Based on this issue, this study explores the social and hedonic factors that influence the intention to use mobile cyclist applications that occurred on cyclists during the COVID-19 pandemic. This research was facilitated by the SPSS application using two techniques: Crosstabulation A study of 440 users of mobile cyclist applications showed an increase in new cyclists, especially women, and the average age was under 30 years. Apart from that, social factors had a significant negative effect of 11.7% and hedonic factors of 98.4%. This research is essential for industry and scientific development in the future. © 2021 IEEE.
ABSTRACT
The pandemic of Covid-19 detected for the first time in early March in Indonesia has been making people stay at home. It affects almost every sector, including higher education. Lecturer, staff, and students have been pushed to work and study from home. There are many approaches from the government, and the ultimate method is a full and partial lockdown. During March to May, with these techniques, it is not only can be temporary slow-down the case but also improved the quality of air. We have two fixed stations at Telkom University (-6.970, 107.629), with an altitude of around 650 and 670 m above sea level, respectively. Those locations were influenced by residential and industrial pollution under not so much open green spaces. Low-cost PM2.5 and CO2 sensors were deployed as well as monitoring meteorological parameters through cheap detectors. The system was equipped by an Internet of Things (IoT)-based modem for data transferring via the internet every 2-min. Results showed that PM2.5 mass concentrations were lower than usual cased in that location. Meanwhile, no significant evidence that the level concentration of CO2 is decreased. The decreasing mobility of people working and studying from home have been making less dirty air. It means that fewer aerosols can be identified in the air. The complex behavior between those polluted air and meteorological conditions have been tried to analyze, but no direct evidence that better air quality makes the outbreak is slowing down.
ABSTRACT
The use of digital resource for learning has been increasing since the Industrial Revolution 4.0 was enlivened. This was further strengthened by the government's policy to learn from home since the COVID pandemic 19. Various types of online learning can be effective but also sometimes do not succeed in achieving the expected learning goals. Drijver suggests that 3 main factors influence how digital learning resources can be effective in learning, namely how the design of digital content is, how the teacher's role in digital content is, and the use of the educational context used in digital content. Realistic Mathematics Learning can be an approach that can accommodate all the factors. This study aims to provide appropriate digital learning resources for teachers and students during the COVID 19 pandemic. An adapted Plomp Design is used for developing digital content. This developmental research suggests that the characterization of RME supports the requirements for effective digital learning resources in a way that enables the student to foster their constructive learning activities. However, these rich didactical activities lack in providing an adequate presentation on the mathematics content. © Published under licence by IOP Publishing Ltd.
ABSTRACT
Due to the global pandemic of Covid-19, Indonesian government released a large-scale social restriction policy to reduce the spread of the disease. It still allowed people to have activities outside. The government also had another policy to divide covid-19 patient into three categories, such as People under Monitoring (ODP), Patients under Surveillance (PDP), and Confirmed Patients. This study aimed to explore the Covid-19 model in which large scale social restriction had been involved. It was not only to figure out the stability analysis of the model but also to predict the spread of the disease through numerical simulation. We constructed model based on the characteristic of Covid-19. Human population have been divided into five sub population, such as Susceptible (0), Susceptible (1), Exposed, Infected, and Recovered. Three of them related to the Covid-19 patient’s category. A disease-free equilibrium and endemic equilibrium have been determined. By using Next Generation Matrix, the basic reproduction number also had been obtained. Stability analysis have been done to explore the existence of the disease. A large scale-social restriction had a significant effect to the spread of the disease. The effectiveness of policy ranges from 80%-100% and it will reduce the number of people under monitoring. © 2020 the author(s).
ABSTRACT
This study aims to analyze a person's intention in using self-service technology (SST) services during the pandemic COVID-19. Where this time, raising problems one of the social distancing that affects a service provided, especially on services that use technology that applies SST. This study develops from previous research where the customer has satisfaction in using SST services. Still, this use does not know a person intention to use SST services, so it is necessary to develop with several factors the adoption of technology, namely influence that can make a person intention to use. The research framework of this research consists of several factors and indicators, namely efficiency (4 indicators), Reliability (4 indicators), security (3 indicators), Convenience (3 indicators), Ease of use (4 indicators). This study uses an online survey with google form for users of self-service technology services in 5 major cities in Indonesia. Dissemination of the survey for three months, and the obtained were 100 respondents valid. This research conducts testing using Smarpls v3.0. The results of this study found two factors that influence perceived usefulness, namely: efficiency and reliability, and found three factors that did not have an impact, namely Security factors, Convenience Factors, Perceived Ease of use, and Service Trust do not have an impact on perceived usefulness. This result is a very interesting finding because during the period pandemic COVID-19. These factors are no longer the top priority in the use of SST services and do not affect who intention to use a technology service. Thus, it can be concluded that whose intention at a certain level of the problem will prioritize the reliability and efficiency of the system for service. This factor can be the focus of the company in developing systems that adopt Self-service technology. © 2020 ASTES Publishers. All rights reserved.
ABSTRACT
The focus of this research is crisis management in the education sector during the COVID-19 pandemic. This was done following an atmosphere of crisis in the field of education that encouraged the Indonesian government to issue policies in the form of the Study from Home (SfH) crisis programme. The object being analysed is related to the application of crisis management and the communication experience of students during the programme. The purpose of this study is to describe the opinions of students during the crisis programme. The study was conducted in the city of Bandung by involving lecturers and students. The methodology used is a qualitative approach to phenomenological studies. Data collection was conducted through online interviews and literature studies. The study found that the government established SfH as an emergency learning programme during the COVID-19 pandemic. The implementation of SfH was through online learning using various chat and video conference applications. There were two weaknesses of online learning namely technical and communication weaknesses. Technical weakness is influenced by geographical factors, internet networks, and internet costs. While communication weaknesses include slow adaptation, learning media are not optimal, and an interactive atmosphere has not been developed, and there is no atmosphere of empathy. This situation results in lecturers not being able to manage the learning effectively. Studying online during SfH should be able to build collaboration classes to be able to foster motivation and interest in student learning. Collaboration classes are realised when lecturers and students try to improve communication competencies. © 2020, Universiti Kebangsaan Malaysia Press. All rights reserved.