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The spread of COVID-19 in Indonesia is still classified as a pandemic until October 31, 2022. Even though the endemic has been enforced in several nations worldwide. However, the fact that people's mobility is increasing means that this condition can increase the number of new cases of COVID-19. The Indonesian government remains vigilant about any decisions that will be taken to maintain the stability of the country's health sector, economy, and population mobility. First, The purpose of this our research is to forecast of daily positive confirmed and daily mortality for the next 13 days using COVID-19 epidemiological data in Indonesia, i.e. DKI Jakarta and West Java. Second, the forecasting model uses a deep learning approach, i.e. LSTM and ARIMA. furthermore, The LSTM method and ARIMA modeling results are compared based on their respective to regions. Finally, The LSTM method has good model performance and the ability to forecast COVID-19 cases based on RMSE and MAPE. © 2022 IEEE.
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UN-Habitat noted that COVID-19 cases were disproportionately found in urban areas. A question arises as to what urban factors are related and how they are related. Therefore, this study aims to analyze the association between urban factors and cumulative cases of COVID-19 in Semarang City, the fifth largest Indonesian city with diverse urban characteristics. Through literature review, twelve urban factors were selected and tested against cumulative COVID-19 cases. The study was conducted cross-sectionally during the new normal period until just before the delta variant of COVID-19 emerged. The association was analyzed using robust regression because the OLS regression assumptions were not met. This study found a strong association based on a high R2 (0.725) value. This study also found six significant variables and found that;(1) elderlies are a vulnerable group that needs to be cared for, (2) planned densities are associated with lower COVID-19 cases, and (3) COVID-19 spread among the poor is presumably undetected, (4) bus transportation and (5) commercial facilities have higher COVID-19 transmission risk. Finally, the study outlines implications for future planning to promote planned densities, light active mobility, reduce poverty, and increase healthcare capacity.
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The COVID-19 pandemic has affected many ways of life, especially among people who experience the infection. The pandemic negatively affected the physical, social, and psychological functioning of individuals and societies, worldwide. This study aimed to evaluate the extent to which key factors may influence the QoL of people with COVID-19 in Semarang, Indonesia. The online cross-sectional study recruited 107 participants. Adults ( 17 years of age) with positive COVID-19 infection history were targeted. Quality of life was measured with the WHOQOL-BREF questionnaire. The questions explain how respondents attribute to each aspect of their life and how problematic or satisfactory they perceive them for their overall quality of life. Results showed that the highest mean score was found for the social domain (14.112.89), and the lowest mean score was observed for the environment domain (13.272.01). The presence of comorbidities had a statistically significant difference in the environment domain (p-value:0.006). During the COVID-19 pandemic, people had less satisfaction with their environment. The presence of anxiety often promotes changes in the perception of QoL for all domains among respondents (p-value: <0.0001). Investing such resources in these groups may be an efficient option to maximize positive public health impacts in this resource-poor environment.
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During the COVID-19 pandemic, the living conditions of rural women in coastal areas of East Java became increasingly difficult. The aim of this study is to reveal the important roles of women and their social resilience to survive during the pandemic. This research was conducted in poor coastal villages in the province of East Java, namely: 1) Surabaya City with multicultural characteristics;2) Situbondo Regency with Javanese–Madurese mixed cultural characteristics and 3) Tuban Regency with Javanese cultural characteristics. The subjects of this study were married women who have children. Data collection was conducted for 2 months (June-July 2021) using a structured interview technique (questionnaire) with 185 respondents and an in-depth interview technique with 18 informants, including women and local leaders. The results of this study indicate the "coping” and "adaptive” capacities of women during the COVID-19 pandemic. Although women's work in these coastal villages was categorized as unskilled work generating little income, women were still working to overcome the direct threat of the pandemic through available resources such as skills, time, family, and neighborhood ties. However, this study shows only a few capacities of the "transformative” type, whereby women have access to assets and assistance from wider social and political networks. This study shows a strong patriarchal culture influencing the lives of poor coastal rural women, but also reveals that the role of women was very important in maintaining family health and meeting income shortages for family needs during the COVID-19 pandemic. © 2022,Journal of International Women''s Studies. All Rights Reserved.
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East Java Province has the fourth-highest number of COVID-19 cases among all other provinces Indonesia. This study aimed to examine the spatial effect on confirmed cases of COVID-19 and the risk factors. Data were analyzed using Geoda software to obtain Global Moran's Index and Local Spatial Autocorrelation (LISA) and QGIS 2.8.1 software to make a map. Moran's I scatter plots also used to exploring the bivariate association between COVID-19 cases and potential predictors. The Global Moran's I statistics value shows spatial clustering in COVID-19 cases across the municipalities of East Java Province (Moran's I=0.3986). A positive spatial autocorrelation was observed between COVID-19 cases and population density (Moran's I = 0.2059), vaccination coverage (Moran's I = 0.322), the number of laboratories (Moran's I = 0.2322), ratio of health worker (Moran's I = 0.1617), and household (Moran's I = 0.0866). In comparison, a negative spatial correlation was observed between COVID-19 cases and The Enforcement of Restrictions on Community Activities' levels (Moran's I =-0,2420), average number of family member (Moran's I = 0.0115). The LISA cluster map shows that there were 3 hot spots (Surabaya, Gresik, and Sidoarjo) and 3 cold spots (Sampang, Pamekasan, and Sumenep). Copyright © 2023, Institute of Medico-legal Publication. All rights reserved.
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Background: COVID-19 has significantly affected the socio-economy globally. Aprisindo director claimed that the socio-economy effects due to the COVID-19 pandemic are also encountered by the shoe company. Shoe company mapping revealed that 60% of companies experienced suffer demand, while the remaining 40% experienced moderate and high demand. The current research was done on a shoe company in Tangerang, which has many layoffs for about +or- 700 workers in April 2020. It occurred due to the COVID-19 pandemic, which has decreased goods order. This research aimed to know the effect of the COVID-19 pandemic on a shoe company in Tangerang by using SEM-PLS and identifying the strategic improvement suggestion in overcoming the COVID-19 pandemic on shoe company in Tangerang by using NGT (Nominal Group Technique) method.
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The new eruption of COVID-19 has overpowered the world, convinced lockdowns and pushed general clinical consideration systems. Covid is known to be a significantly overpowering disease, and spoiled individuals at first don't show signs, while some stay asymptomatic. The new eruption of COVID-19 has overpowered the world, convinced lockdowns and focused on general clinical consideration structures. Covid is known to be significantly compelling contamination, and corrupted individuals at first don't show signs, while some stay asymptomatic. In like manner, various assemblies have shown uncommon interest in cell contact following applications that help with robotizing the inconvenient task of following all new contacts of late perceived polluted individuals. We give an overview of several suggested methods following results in the increase, many of which have been distributed nationally, and discuss the concerns clients have expressed about their use. © 2022 IEEE.
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Background: The global epidemic of COVID-19 has reached an emergency status in the health system, including dentistry. The dentist profession is inseparable from the possibility of direct or indirect contact with microorganisms in the patient's blood or saliva. National and international dental associations, such as Persatuan Dokter Gigi Indonesia and the American Dental Association, have published practice protocols that must be applied by dentists who choose to continue practicing during the COVID-19 pandemic. Dentists' knowledge of practice protocols in the current situation is very important, as it enables dentists to take infection control measures against virus transmission in the dental practice environment. Strong knowledge can have a positive impact on the psychological state of dentists, such as by reducing the anxiety level of dentists when treating patients during the pandemic. Purpose: To determine the correlation between the level of knowledge of dentists regarding practice protocols and the level of anxiety that they face regarding practicing during the COVID-19 pandemic in Indonesia.
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Pujon Kidul, Malang is a village tourism that offers agricultural potential as a tourist attraction to prosper the communities. Pandemic Covid-19 has caused instability in all sectors, including agricultural sector. The agricultural sector is the last line of defense, but that does not mean the pandemic has no impact on farming activities. On the contrary, the pandemic has slowed global economic growth and social growth, particularly in agriculture;as a result, social capital and local wisdom must be strengthened. As a result, this study was carried out to support Covid-19's Resilience Area in the tourism village of Pujon Kidul by investigating the role of social capital and resilience. Confirmatory Factor Analysis (CFA) and the Structural Equation Model (SEM) were used in this study. We employed structural equation model using AMOS program which the result of the study shows that the residents of Pujon Kidul Village Tourism already have favorable social capital circumstances, which are characterized by a high level of trust among residents and good social network. This trust and social network support the Covid-19 Resilience Village program's effectiveness. So far, the currently used model could explain the relationship between social capital and community resilience. © 2022 Editura Universitatii din Oradea. All rights reserved.
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Background: Coronavirus disease 2019 (COVID-19) can infect the human respiratory system and causes 6.93% of all deaths in East Java Province. Comorbid diabetes mellitus and hypertension can exacerbate COVID-19 patients. Purpose: This study aims to analyze the relationship between diabetes mellitus and hypertension with mortality in COVID-19 Patients in Lamongan District.
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Background: Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by a new type of coronavirus, and as of September 11, 2020, 210,940 cases have been reported spread across all provinces in Indonesia. Central Java is the province with the 3rd highest cumulative case as of August 24, 2020. On the other hand, Klaten District ranks 11th out of 35 Districts/Cities in Central Java, and it is classified as a moderate risk zone area. Purpose: This study aims to describe the Covid-19 cases in Klaten District.
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Background: COVID-19 is an infectious disease caused by a new type of virus named SARS-CoV-2. There is still no specific treatment for COVID-19;the antibiotic is used for therapy and to prevent severe disease, so the increasing use of antibiotics in COVID-19 patients will lead to a detrimental impact and the risk of antibiotic resistance. Purpose: This study aims to analyze antibiotic use frequency and determine the number of DDD per 100 bed-days in July - December 2020 at Bhayangkara Hospital Surabaya.
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Background: The COVID-19 pandemic has infected many people and impacted the political, economic, social, cultural, defence, security aspects, and welfare of society. One of the regions of Indonesia with the most cases is East Java Province which has reached more than 46,984 confirmed cases. Purpose: This study aimed to analyze self-awareness and the amount of risk in terms of knowledge, attitudes, and perceptions of the people of East Java Province with compliance with the COVID-19 health protocol after the adaptation of new habits.
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This study investigates theories from the strategic entrepreneurship literature related to strategic entrepreneurship mindset, strategic entrepreneurship leadership, and entrepreneurial value creation. A sample of 85 SMEs was taken from the SME sector in East Java, Indonesia, using a non-probability sampling method with a purposive sampling technique. The data collection process was a survey with questionnaires distributed directly to the SME owners. The data analysis was carried out using a structural equation measurement model (PLS-SEM) and included outer model analysis, inner model analysis, mediation testing, and hypothesis testing. This study contributes to the strategic entrepreneurship leadership variable, which is a mediating variable. The study confirms this theory for SMEs to provide broader scientific ideas related to strategic entrepreneurship theory. The small and medium-sized enterprises (SMEs) that were looked at can create entrepreneurial value through benefits and added value for individuals, organizations, and the social environment. This can contribute to progress and sustainability, which will help the economy in Indonesia and give decision-makers more information.
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This paper proposes pandemic support system design exercises from both hardware and software perspective as constituent part of higher education computer science courses. Two case studies in context of computer science and automation study programmes at University of Niš, Faculty of Electronic Engineering in Serbia ae covered: Intelligent Information Systems and Microcontroller Programming. In case of the first one, the topics cover information system implementation relying on Java Enterprise Edition (JEE) technology with presence of machine learning elements provided by Weka API, so smart vaccination process support information system is presented as example. On the other side, the focus on the second course is on PIC16 family microcontrollers and RTOS-based system implementation using CCS C compiler and presented example represents control unit for indoor coronavirus safety control. © 2022 IEEE.
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We present in this paper a suite of four software applications that will help a user to learn the basic vocabulary (about 6000 words) of the English language. The software program asks the user to choose a word from a list of other words. The originality of these applications consists mainly in the modality in which the choices for a tested word are selected. The software applications are graphical applications written in Java programming language. Applications can be modified so that the user can learn other foreign languages. They can also be integrated on e-learning platforms. In the context of the COVID pandemic, online learning has grown. © 2022 IEEE.
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Feline Panleukopenia Virus (FPV), Feline Infectious Peritonitis (FIP), Feline Calici Virus (FCV), and other cat's viral diseases were reported in Indonesia. Viral diseases that appear usually appear in each season with different intensities depending on the type of virus. The research data was taken from Animal Hospital Prof. Soeparwi's medical record in 2017-2019 along with rainfall, humidity, and temperature data in the Yogyakarta area in 2017-2019 obtained from the Climatology and Geophysics Meteorology Agency (BMKG). Disease data are grouped by diagnosis;temperature, humidity, and rainfall data. Data analysis was performed with Microsoft Excel 2016 in the form of a frequency chart and descriptive. The results of the analysis between the incidence patterns of FPV, FIP, FCV, Feline Viral Rhinotracheitis (FVR), and Papilloma with climatic conditions in the dry and rainy season periods show patterns that vary depending on the character of the virus that causes the disease. High incidence in the rainy season is seen in FPV and FCV, for FIP the incidence of each season is almost the same in each year, whereas the incidence of FVR and Papilloma can be higher in the rainy season and sometimes also can be higher in the dry season. These findings indicate that the incidence of viral diseases in cats has a seasonally based pattern of events.
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Background: Comorbidity is a major factor in determining the outcome of COVID-19. However, existing studies regarding comorbidities and the disease severity and mortality of COVID-19 are mostly based on studies in the whole community, and not on those admitted to hospitals. This study aims to determine the demographic profile of comorbidities among COVID-19 patients hospitalized in tertiary care referral hospitals and its association with disease severity and mortality.
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The full impact of COVID-19 has yet to be felt: while it may not define the new decade, it is clear that its immediate significance was to test many of the basic operating assumptions and procedures of global civilization. Even as vaccines are developed and utilized and even as it is possible to see the beginning of the end of COVID-19 as a discrete historical event, it remains unclear as to its ultimate importance. That said, it is evident that the academic exploration of Southeast Asia will also be affected by both the global and regional experiences of the pandemic. “Breakthroughs of Area Studies and ASEAN in the Era of Homo Untact” promises to help reconceptualize the study of the region by highlighting the importance of redefined spatial relationships and new potentially depersonalized modes of communication. This paper acknowledges these issues by suggesting that the transformations caused by the pandemic should motivate scholars to raise new questions about how to understand humanity—particularly as it is defined by societies, nations and regions. Given that COVID-19 (and the response to it) has altered many of the fundamental rhythms of globalized regions, there is sufficient warrant for re-examining both the ways in which disease, health and their related spaces affect the perceptions of Southeast Asia. To achieve “breakthroughs” into the investigation of the region, it makes sense to have another glance at the ways in which the discourses about diseases and health may have helped to inscribe definitions of Southeast Asia—or, at the very least, the nations, societies and peoples who live within it. In order to at least consider these larger issues, the discussion will concentrate on a formative moment in the conceptualization of Southeast Asia-British engagement with the region in the late 18th and early 19th centuries. To that end three themes will be highlighted: (1) the role that British diplomatic and military narratives played in establishing the information priorities required for the construction of colonial knowledge;(2) the importance not only of “colonial knowledge” but information making in its own right;(3) in anticipation of the use of big data, the manner in which manufactured information (related to space and disease) could function in shaping early British perceptions of Southeast Asia—particularly in Batavia and Java. This discussion will suggest that rather than see social distancing or increased communication as the greatest outcome of COVID-19, instead it will be the use of data— that is, big, aggregated biometric data which have not only shaped responses to the pandemic, but remain likely to produce the reconceptualization of both information and knowledge about the region in a way that will be at least as great as that which took place to meet the needs of the “New Imperialism.” Furthermore, the definition and articulation of Southeast Asia has often reflected political and security considerations. Yet, the experience of COVID-19 could prove that data and security are now fused into a set of interests critical to policy-makers. Given that the pandemic should accelerate many existing trends, it might be foreseen these developments will herald the triumph of homo indicina: an epistemic condition whereby the human subject has become a kind of index for its harvestable data. If so, the “breakthroughs” for those who study Southeast Asia will follow in due course. © 2022, Busan University of Foreign Studies. All rights reserved.