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BACKGROUND: SARS-CoV-2 virus infection is a pandemic that began to emerge in December 2019 in various countries with high death rates of 4-9% until now. In March 2020, Indonesia found its first case where the condition of the infection kept spreading to various regions in Indonesia. Different regional conditions in Indonesia make it difficult to manage this virus infection. The capability of the regional hospitals to detect this virus infection with their facilities and infrastructure is required. CASE PRESENTATION: A 17-year-old man came to the Ajibarang Regional Hospital with complaints of coughs and colds felt for 4 days and fever for 2 days. Physical examination found a good general condition, moderate pain, the temperature of 38.8degreeC, pharyngeal hyperemia, and minimal lung crackles sound. Laboratory tests showed normal leukocytes, platelet, and hemoglobin levels. Chest radiograph was suggestive of bronchitis. The patient was hospitalized for approximately 4 days until the fever resolved and was discharged. Five days after the patient was discharged from the hospital, the results of the viral load examination using real-time polymerase chain reaction confirmed positive for Coronavirus Disease 2019 (COVID-19). CONCLUSION(S): This case showed unusual conditions of a mild clinical COVID-19 infection, laboratory results that did not support viral infections, as well as radiology examination of only bronchitis. The viral load test was found to be positive. Therefore, the diagnosis of the COVID-19 infection requires a comprehensive interpretation of complete history taking, clinical examination, laboratory, and radiology examinations for clinicians working with limited hospital facilities and infrastructures.Copyright © 2023 Edward Kurnia Setiawan Limijadi, Inge Cahya Ramadhani, Dian Tunjungsari Hartutiningtyas, Gara Samara Brajadenta.
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Role of Police Supporting Institutions in an Emergency in Indonesia. Regulations related to police duties and the condition of medical personnel are actually at the forefront of emergencies and pandemic disasters, but in Indonesia the police also called the front guard in efforts to prevent the emergency spread of Covid-19. It can be seen if there is gaps in the implementation of police duties during an emergency. This study aims to find out the existence of police as the institution that having mandate to manage and handle emergencies situation such as pandemic of COVID-19. This study used doctrinal legal research as one of the legal research methods. The findings show that management of health protection in Indonesia particularly in pandemic situation had not maximal. As can be seen there are several barriers to Indonesian Police in handling the emergency situations. Firstly, the internal problem in the institution, then it needs a revitalization. Secondly, the lack of adequate funding for the police's performance. Thirdly, as well as the external cause is the lack of publick awareness or the culture of society to be able to cooperate with the police in preventing the spread of COVID-19 in Indonesia. © 2023, Lembaga Contrarius Indonesia. All rights reserved.
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The dysphemistic utterance is a linguistic phenomenon which politicians often use as a form of strategic communication for referring certain subject with a word or an expression which may have a different meaning. So research aims to analyze the meanings of Indonesian politicians' dysphemistic utterances during the Covid-19 pandemic. The design of this research is qualitative-descriptive and semantic-pragmatic approaches are used in this research. The data used in the research are dysphemistic utterances spoken by Indonesian politicians in several videos uploaded in YouTube during the pandemic era (March 2021 -April 2022). Utterance is analyzed using Allan and Burridge theories. The literature review method was carried out on dysphemistic utterances in the social media sites, guided by an instrument which is designed and developed by the researchers. The technique used in this research is note-taking. This research uses the theory and investigator triangulation techniques to verify the data based on validity and reliability criteria. The analysis of data is presented using formal and informal methods. With the formal method, research results are presented by providing semantic and pragmatic meanings of words and sentences which build dysphemistic utterances. The research results show that there are 6 meanings of dysphemistic utterances spoken by Indonesian politicians during the pandemic era (March 2020-April 2021) that consist of 40 connotative meanings, 33 stylistic meanings, 45 affective meanings, 27 reflected meanings, 39 collective meanings, and 41 thematic meanings. This article is written to explain the dysphemism and euphemistic spoken by Indonesian politician to gain political
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-This study aimed to explain the structural influence of the implementation of the communicative approach and the use of information technology in Indonesian language learning on students motivation and learning achievement. This research was conducted in Blitar, Indonesia, and 186 students were chosen as the samples. An explanatory research design was used in this research. The data collection techniques used questionnaires and documentation, while data analysis techniques used descriptive statistics and structural equation modeling. The results of the analysis showed that there was a direct effect of the communication approach and the use of information technology on students learning motivation. There was a significant direct effect of students learning motivation on students achievement in the Indonesian language class. The communicative approach had an indirect effect on students achievement and showed a stronger coefficient of the effect on learning motivation compared to the use of information technology. These findings were discussed in depth based on the theory and results of previous studies.
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The COVID-19 pandemic is suspected to change the consumption of beverages. This study aimed at analyzing the effects of the two-year COVID-19 pandemic on the consumption of beverages among Indonesian women. For this purpose, an online survey was designed and performed via social media in Java. As many as 1773 women participated in this study. The results showed that the two-year COVID-19 pandemic had an effect on increasing the consumption of bottled water, drinking water, isotonic drink, energy drink, milk, juice, coconut water, and herbal drink. Meanwhile, the consumption of tea, coffee, and soft drink decreased. © 2023 UPM Press. All rights reserved.
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The coronavirus disease 2019 (COVID-19) pandemic affected healthcare facilities globally. The current condition was a formidable challenge to maintaining blood supply in a blood center. This retrospective cross-sectional study analyzed the impact of COVID-19 Enforcement of Limitation on Community Activities on blood supply management in The Indonesian Red Cross Blood Center in Semarang City. Blood supply management consists of blood collection and receiving blood requests. Our study used secondary data from a blood donor and blood request reports from January to December 2018 and January 2021 to December 2021. Statistical analysis was done by comparing 2018 and 2021 data with an independent t-test. Our findings showed that implementing COVID-19 regulations severely impacted outdoor blood collection in Semarang City. The impact spanned the period of May to August 2021, especially in July 2021 (emergency enforcement of limitation on community activities) when the blood collection decreased by 68% (1,352 units) from the previous month. The amount of in-house blood collection was also found to have been sustained by the regulation impact because of blood recognition events from May until August 2021. The research also found that there was a significant decrease in outdoor blood donors, blood supplies, and blood demand between 2018 and 2021 (p<0.05). These findings were due to the amount of outdoor blood collection that was heavily dependent on unforeseen external situations such as a pandemic, a timely mitigation strategy was warranted to sustain blood supply.
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The World Health Organization (WHO) officially declared coronavirus (COVID-19) a pandemic on March 11, 2020. Educational institutions must change most face-to-face learning activities in class to online. This situation forces academic institutions to change the format of assessing student learning outcomes. Online exam surveillance applications utilizing cameras and other blocking browsers (proctors) are becoming popular. However, the appearance of the proctor model supervised exam system also raises controversy. The main discussion regarding this proctor system is the integrity of assessment and the capacity of students to adapt to this new method of supervision. The main question is whether students feel comfortable using the proctor system in exams and whether this system affects students' scores. To answer this question, we have analyzed the scores obtained from a trial of 152 scores of students learning Arabic at Hasanuddin University Makassar, Indonesia. The experiment involved three exam models: online format from home using the Sikola Learning Management System (Modality 1), online directly using the Proctor System in the Sikola Learning Management System (Modality 2), and a paper exam format in person under the supervision of a lecturer (Modality 3). The results show that students prefer Modality 1 (online at home with the Sikola LMS system). There is a statistical difference between the scores obtained by students from the three modalities analyzed. Student scores with modality 1 are higher than the other two modalities. On the other hand, there was no difference in scores between modalities 2 and 3. The online exam system (modality 2) can be applied to online exams in higher education institutions because it can reduce or even keep students from cheating.
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The Indonesian government has declared a strong commitment to information and communication technology (ICT) education reform but has made meager progress due to inconsistent education policies, fragmentary technological infrastructure, and ill-prepared teachers. Despite these obstacles, young people in Indonesia have embraced smartphones and related technologies as important means of maintaining their socially integrated lifestyles. This project sought to measure the adoption of smartphone technologies among pre-service teachers as part of their broader ICT consciousness and teaching. We examined the ICT competencies of 220 pre-service teachers at two state universities in western Indonesia. A questionnaire was distributed to the participants toward the end of the students' final practicum during the COVID-19 closure of the schools. Results showed very high use of smartphones in private contexts, infrequent use of laptops and desktop computers, a strong rejection of institutionally available (or often unavailable) devices and services, and a skewing of ICT skills toward tools available on smartphones, especially those accessible through social media platforms. © 2023 The Author(s). Open Access - This article is under the CC BY license (https://creativecommons.org/licenses/by/4.0/).
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Introduction: COVID-19 outbreak has caused changes around the world with many polices remade to stop the spread of this virus since it started in 2019. Indonesia with the overall highest positive cases in South-East Asia has been challenged with prolonged restriction policy issued from early 2020 until now due to continuous increase of cases. This study aims to know the mental health of Indonesia citizens during early quarantine before it changed into restriction. Method: Indonesian version DASS-21 questionnaire was used in this cross-sectional study to assess Indonesian adults aged > 25 years old using an online platform from 22nd April, 2020 to 28th May, 2020, then analyzed using T-test and one-way ANOVA. Result: All participants have no depression and stress symptoms that meet the threshold for probable depression according to the DASS-21 instrument. On the other hand, 26.3% participants showed anxiety symptom with severity classified into mild (16.0%), moderate (8.9%), and severe (0.4%). Conclusion: This study also found relationship of depression, anxiety, and stress characteristic with gender, age marital status, and income in adults during pandemic. Where in this study shows male, younger age, unmarried status, and lower income people have higher scale of depression, anxiety, and stress characteristic. This finding may help Indonesia's government and citizens to assess the restriction to mental health of Indonesian adults for further effective policy implementation. © 2023 IJPH.
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Radiology is used as an important assessment for patients with pulmonary disease. The radiology images are usually accompanied by a written report from a radiologist to be passed to the other referring physicians. These radiology reports are written in a natural language where they can have different systematic structures based on the language used. In our study, the radiology reports were collected from an Indonesian hospital and written in Bahasa Indonesia. We performed an automatic text classification to differentiate the information written in the radiology reports into two classes, COVID-19 and non COVID-19. To find the best model, we evaluated several embedding techniques available for Bahasa and five Machine Learning (ML) models, namely (1) XGBoost, (2) fastText, (3) LSTM, (4) Bi-LSTM and (5) IndoBERT. The result shows that IndoBERT outperformed the others with an accuracy of 98%. In terms of training speed, the shallow neural network architecture implemented with the fastText library can train the model in under one second and still result in a reasonably good accuracy of 86%. © 2022 IEEE.
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With the rapid development of information and communication technologies, some learning platforms have been used in the educational setting, particularly during the Covid-19 pandemic. This paper reports on blended learning or online and face-to-face learning practices viewed from lecturers and students' perspectives at an Indonesian higher education institution. To capture the participants' experiences, a narrative inquiry approach was adopted to the scope of blended learning in the English as a foreign language (EFL) classroom. In gathering the data, narrative interviews were used with four lecturers and four students. The findings reveal that the EFL lecturers used various online learning platforms in blended learning classes. Furthermore, both the EFL lecturers and students provided positive responses regarding blended learning. However, challenges were highlighted in the process of its implementation. These challenges include limited time allocation, poor internet connection, and students' self-study unawareness. This paper highlights the need to reschedule proper time allocation, design the best teaching methods and materials in blended learning, provide the best internet connection, and encourage student motivation in blended learning. © Authors.
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This paper investigates how the impact of the COVID-19 pandemic crisis affects the innovation of Micro, small and medium enterprises (MSME) in Indonesia and how innovation, namely product, process, marketing, and organizational innovation, acts as a mediator for MSME performance. An integrated conceptual framework is developed and empirically tested using cross-sectional survey design data from 300 MSME owners in Indonesia. Structural Equation Modelling (SEM) software Smart PLS examines the hypotheses testing. Descriptive analysis is also used to provide demographic data of the owners of MSMEs in Indonesia. This study reveals that the COVID-19 pandemic crisis significantly and positively impacts four dimensions of innovation. The results indicate that the pandemic triggered the MSME owners to innovate or adapt. This study also found that four dimensions of innovation partially mediate the COVID-19 pandemic crisis and MSME performance relationship. The results show that product, marketing, and organizational innovation significantly impact MSME performance. With marketing innovation as the lowest innovation dimension that affects performance, and organizational innovation as a major contributor that significantly impacts MSME performance. However, the results also demonstrate that among the four dimensions of innovation, process innovation does not significantly impact MSME performance which is highlighted by an indicator such as reducing production cost. This shows that reducing production costs is optional and does not mean that the performance of MSME will increase significantly. Therefore, the findings of this study are set to advance theories in MSME innovation and performance. It also presents important implications for the MSME owners to develop a successful and sustainable MSME industry. © 2023 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
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Based upon an extended Technology Acceptance Model (TAM), this study aims to investigate the factors influencing the behavioral intention to adopt Fintech from the perspective of Indonesian women. The research data were collected from 409 Indonesian female respondents and analyzed using the SEMinR statistical data analysis tool. Structural equation modeling (SEM) was used to assess this research's measurement model and structural model. The result shows that perceived usefulness, perceived ease of use, user innovativeness, attitude, trust, and brand image significantly positively impact behavioral intention to adopt Fintech among Indonesian women. Meanwhile, perceived ease of use, financial literacy, and government support are found to have indirect relationships with behavioral intention. In addition, moderation analysis revealed that the saving habits of women during the COVID-19 pandemic reduced the relationship between their innovativeness and behavioral intention to adopt Fintech. Based on these results, we recommend practical suggestions to the government, policymakers, and aspiring Fintech service providers further to enhance women's empowerment through digital financial inclusion. © 2023, The Author(s).
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Aim: The aim of the study was to outline the longitudinal outcomes of olfactory dysfunction amongst patients with coronavirus disease 2019 (COVID-19) in a single tertiary centre in Malaysia. Material(s) and Method(s): Adults patients who tested positive for COVID-19 via reverse transcription-polymerase chain reaction and were admitted to Hospital Sungai Buloh, Malaysia, were recruited in this study. The patients completed a questionnaire via telephone interview comprising the following details: age, sex, ethnicity, comorbidities, general and otorhinolaryngological symptoms, and onset and duration of olfactory and gustatory dysfunction. The patients with persistent olfactory and gustatory dysfunction at the time of the initial interview were followed up every 3 to 5 days until resolution. Result(s): A total 185 patients were included in this study out of 378 patients contacted. Ninety patients reported olfactory dysfunction symptoms, with 59 of them complaining of anosmia. The mean age of the participants was 39.52 years (age range: 18-66 years). More than half of the patients with olfactory dysfunction had no comorbidities (55.56%). Of the 90 patients with olfactory dysfunction, 66 patients (73.3%), including 40 males and 26 females, regained their olfactory function completely within 2 weeks. The remaining 24 patients were contacted after 4, 8, and 12 weeks. Ten patients (11.1%) were found to have recovered their sense of smell after one month, while 5 patients (5.56%) recovered within 2 months, and 1 patient (1.11%) recovered in 3 months. Conclusion(s): Complete recovery was noted in 73% of the patients within a period of 2 weeks, whereas persistence of symptoms was noted in 6 patients (6.67%) after 3 months.Copyright © Pediatr Med Rodz 2022.
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The COVID-19 pandemic has had profound impacts on access to and use of therapeutic landscapes and networks, especially for people who are vulnerable due to economic, social, and work-related disadvantage. For one such vulnerable population, Indonesian female domestic workers (FDWs) in Hong Kong, this study employed a mixed methods approach to examine the associations between perceptions of therapeutic landscapes (TLs), therapeutic networks (TNs), subjective wellbeing, and self-rated health during the COVID-19 pandemic. Data from an online survey were analyzed via structural equation modeling (SEM) and confirmatory factor analysis (CFA) to investigate the direct and indirect associations between TLs, TNs, and health and wellbeing. The findings demonstrate little or no association among FDWs' perceptions of TLs and TNs and FDWs' self-rated health and subjective wellbeing, except for a negative total association between TL and subjective wellbeing. Using insights gleaned from thematic analysis of in-depth interviews with FDWs, we suggest that these unexpected findings are mainly due to restricted access to public places, reduced social gatherings, and the fact that employers rarely granted days off during the lockdown. Although processes at the employer and municipal scales limited FDWs' access to therapeutic places, increased use of digital communications and spaces provided an important source of social and emotional support during the pandemic.
Subject(s)
COVID-19 , Humans , Female , COVID-19/epidemiology , Pandemics , Communicable Disease Control , Hong Kong/epidemiology , IndonesiaABSTRACT
The COVID-19 pandemic forced university-based language teachers to rely on technology for teaching. While the challenges of the rushed move to online teaching have been well documented, less is known about how teachers adapted to online teaching through professional development. This article focuses on the experiences of four English-language teachers in Indonesian higher education, who took part in an exploratory practice study for the integration of technology-enhanced pedagogical practices in teaching. In this article, we explore the pedagogical puzzles they explored with their students, the challenges faced by the teachers and the gains achieved by undertaking exploratory practice for integrating technology into language teaching in 2021. Drawing on data gathered through semi-structured interviews and focus group discussions, we identified that the application of exploratory practice principles enabled the participant teachers to tackle a variety of pedagogical puzzles related to online teaching and professional development. We also found that they overcame a variety of challenges and used potentially exploitable pedagogic activities to better understand students and their learning needs, which encouraged them to recognize students as partners in teaching. Further investments of resources and support are necessary to ensure that language teachers fully benefit from exploratory practice in terms of professional development during and beyond the pandemic. © The Author(s) 2023.
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—The COVID-19 pandemic forced schools to change their offline learning model to online. Teachers can use many platforms for online learning, such as Google Classroom. This study aims to reveal the use of google classroom in online learning of Indonesian subjects at schools during the pandemic. A literature study is used in this research. Data is collected from various sources, such as journal articles, proceedings, books, and online news. The results of the analysis show that in learning Indonesian during a pandemic, Google Classroom is used by teachers as an online learning medium because it is easy for students to access. Using Google Classroom effectively increases student understanding and can increase student activity in learning. © 2023 ACADEMY PUBLICATION.
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In Indonesia, the implementation of the national COVID-19 (Coronavirus disease of 2019) vaccination programmes has received criticism from various strata of society, especially through social media platforms such as Twitter. Therefore, Twitter can be used as a data source to analyze Indonesian public sentiment regarding the vaccination programme. Various classical machine learning methods exist for sentiment analysis, but these methods require complex feature engineering and do not focus on the importance of word order in a sentence. In this study, a deep learning model, bidirectional encoder representation from transformer (BERT), is used to overcome these problems by conducting experiments to determine the best dataset after pre-processing, the best hyper-parameter, and the best pre-trained model for BERT. The data used in this study were Indonesian Twitter data with a total of 3000 tweets. Our results demonstrate that BERT is suitable for performing sentiment analysis. In our experiments, BERT obtained better results than classical machine learning methods, with a precision of 86.2%, recall of 86%, f1-score of 86%, and accuracy of 86%. The results of the sentiment analysis performed in this study can be considered by the government in formulating policies related to the implementation of vaccination programmes. ICIC International ©2023.
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The World Health Organization (WHO) officially declared coronavirus (COVID-19) a pandemic on March 11, 2020. Educational institutions must change most face-to-face learning activities in class to online. This situation forces academic institutions to change the format of assessing student learning outcomes. Online exam surveillance applications utilizing cameras and other blocking browsers (proctors) are becoming popular. However, the appearance of the proctor model supervised exam system also raises controversy. The main discussion regarding this proctor system is the integrity of assessment and the capacity of students to adapt to this new method of supervision. The main question is whether students feel comfortable using the proctor system in exams and whether this system affects students' scores. To answer this question, we have analyzed the scores obtained from a trial of 152 scores of students learning Arabic at Hasanuddin University Makassar, Indonesia. The experiment involved three exam models: online format from home using the Sikola Learning Management System (Modality 1), online directly using the Proctor System in the Sikola Learning Management System (Modality 2), and a paper exam format in person under the supervision of a lecturer (Modality 3). The results show that students prefer Modality 1 (online at home with the Sikola LMS system). There is a statistical difference between the scores obtained by students from the three modalities analyzed. Student scores with modality 1 are higher than the other two modalities. On the other hand, there was no difference in scores between modalities 2 and 3. The online exam system (modality 2) can be applied to online exams in higher education institutions because it can reduce or even keep students from cheating © 2023, International Journal of Advanced Computer Science and Applications.All Rights Reserved.
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This study evaluates the effectiveness of central bank policy in influencing intention to use a new payment platform, QRIS (Quick Response code Indonesian Standard). The evaluation is hindered by the contemporaneous emergence of the COVID-19 pandemic, which acts as a confounding factor in adopting the new payment instrument. To disentangle the effect of those variables, we collected data from 617 respondents consisting of customers and merchants, employed a structural equation model with SmartPLS, asses fourteen hypotheses with demographic factors included as moderating factors. The result of the study successfully disentangles the policy impact from the pandemic impact and separates the risk of a pandemic from common risks. We verify that the pandemic and government intervention had significant direct and indirect effects on the intention to use QRIS, with the habit being the most influential component, outperforming other technology adoption determinants. This study, therefore, contributes to the advancement of the literature on the topic of technology adoption and government intervention and suggests that this measuring approach can be used as a complementary instrument to assess the impact of central bank policy on the public © International Journal of Economics and Management