ABSTRACT
Vocational education plays a strategic role in the creation of a skilled workforce who is ready to enter the world of work. In order to achieve the standard competency level, the proportion of practice is required to be 60% and large financing is required. During the Covid-19 pandemic there were many changes in the world of education, PBM had to be done online or online, children's education costs were not fulfilled due to layoffs, the economy slumped and had an impact on entrepreneurship and the influence of student personal costs. The cost of education has changed a lot. A study of changes in financing is needed for planning learning in covid conditions and demands for changes in learning patterns in the 4.0 era. The design used in this research is an explanatory mixed method research, quantitative data is taken together with qualitative data collection. The independent variable is the influence of the pandemic, the dependent variable is the cost of education (education budget and student personal costs). Online survey using googleform. The sample of level II and III students who have been exposed to face-to-face and online learning is 143 students. The education budget & costs are presented with the percentage of reduction and increase. Individual operational costs before and during the pandemic were used the Mann Whitney test at 95% confidence level. The recurrent cost budget that is used to finance the operational activities of PBM for D3 Nutrition Study Program for one budget year, with the predicate BLU should have financial management flexibility, so that student advice to provide tuition fee relief, complete facilities (campus wifi, practical equipment, air conditioning class), providing adequate quotas and spending for practical purposes as well as sufficient costs for student activities can be facilitated. All budget items decreased during the epidemic, except for the cost of providing goods and services for competency and IT compliance. The results of the survey on individual personal costs showed that the significance of all items in question, parents' income, living costs and transport costs decreased before and during the pandemic, while Quota and refreshing costs / personal needs increased on average. A deeper study is needed on the education budget and changes in individual operational costs during the Covid-19 pandemic and facing the challenges ahead in the 4.0 era.Copyright © 2020 Ubiquity Press. All rights reserved.
ABSTRACT
Cyberspace is essential for e-business, including small and medium enterprises (SMEs). In reality, SMEs have limited resources for cybersecurity. Furthermore, dealing with the fourth industrial revolution and the post-COVID-19 era, the challenges are not limited to cybersecurity only but also cyber resilience. Over 200 cyber resilience assessment frameworks have been proposed. Thus, SMEs need help to operate cyber resilience as a simple. This paper reviews the technical architectures behind the cyber resilience (CR) to detect processes and monitor assets continuously from incidents in the modeling level. The technical architectures of the CR model are built on five layers. The five layers are services, data, generative models, data analysis, and resilience scale. Machine learning and data mining based a probabilistic model approach works to solve the problem of the CR model. The approach is taken to ensure that the probabilistic model is adaptive in the face of uncertainty. The CR model helps to explain the technical architecture of each layer to realize the probabilistic model in practice. © 2022 IEEE.
ABSTRACT
In early 2020, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) was found in Wuhan, China. The virus causes the disease named COVID 19 and this disease was declared as pandemic. Vaccines helped prevent the spread of the disease, while the intermediary media that transmits the virus expands the spread of COVID 19. This paper constructed the model and analyzed the effects of vaccination on the spread of the virus COVID 19 with asymptomatic cases through intermediary media. It is assumed that the vaccine is given only to susceptible individuals, and individuals who receive the vaccine will be resistant and cannot be infected with COVID 19. The Runge Kutta method is used to solve the differential equations, and dynamical system is used to analyze the model. The numerical simulation shows that the vaccine effectively prevents the spread of COVID 19 with asymptomatic cases through intermediary media. However, there is a need for further review regarding the effect of vaccination that does not make recipients resistant to COVID 19. © 2022 American Institute of Physics Inc.. All rights reserved.
ABSTRACT
This article describes the results of the data analysis of Covid-19 case in the Ogan Ilir Regency of South Sumatera Province. There were some visualization graphs of similarity groups among 16 sub districts based on Covid-19 case categories. Visualization similarity was drawn on a biplot graph based on the name of sub districts and some Covid-19 case categories. The implementation of social activity restrictions from the government policy was referenced as a way to split the time periods in analyzing data. The first period was an initial time that the pandemic breakout, the next period was the period of some social activities restriction in a large-scale area in Indonesia, then the new normal period was the last period. The biplot graphs showed that there were various grouping of sub districts in every period of time. There were differences in sub districts grouping from period to period. The variance and the correlation between two of Covid-19 case categories differ from period to period as well. Nevertheless, there was a special note about some sub districts that tend to be solo groups separated from the other sub district groups in some periods. Those solo group of sub districts were namely Indralaya, Indralaya Utara, Pemulutan Selatan, and Sungai Pinang sub district. The various result of grouping sub districts indicates that the handling Covid-19 case should be done by the different ways for the different group. Those ways should consider the characteristics of sub district group in order to get the effective result in solving Covid-19 pandemic. The different way also should be considered for handling Covid-19 in.the solo group of sub district. These analysis results were the simple visualization of similarities among sub districts that should be deeply investigated. Next research could be done for explorating and predicting the probability of Covid-19 case categories using the others statistical method. © 2022 Author(s).
ABSTRACT
AIM: The purpose of this study was to analyze the quality of life of hemodialysis patients during the COVID-19 pandemic. METHODS: This study used a descriptive design. The sample in this study was hemodialysis patients at the Gatoel Hospital, Mojokerto City, as many as 122 respondents who were determined using simple random sampling technique. The sample criteria in this study were hemodialysis patients at Gatoel Hospital, Mojokerto City, undergoing hemodialysis therapy <2 years, and willing to participate in research activities. The research instrument used was adopted from the WHOQOL-BREF questionnaire. RESULTS: From the results of the study, it was found that more than half of the respondents had poor physical health dimensions as many as 62 respondents (50.8%), more than half of respondents had poor mental health dimensions as many as 68 respondents (55.7%), more than half of respondents had social health dimensions. Bad as many as 62 respondents (50.8%) and most respondents have poor functional health dimensions as many as 74 respondents (60.7%). CONCLUSION: It was found that more than half of the respondents in this study had poor quality of life. More than half of the respondents had physical health dimensions in the poor category, more than half of the respondents had mental health dimensions in the bad category, more than half of the respondents had social health dimensions in the bad category and most of the respondents had functional health dimensions in the bad.
ABSTRACT
World Health Organization (WHO) declared COVID-19 has become a pandemic on March 11 2020, and counted as a dangerous disease including in Indonesia since it is causing immune drop after an infection that could emerge other diseases. Therefore, many people, both poor or wealthy, are worried. We formulate a modified Susceptible Infected Recovered compartmental model (SIR), where the Infected compartment could be dead because of the disease. Assuming that the poor have less access to excellent health facilities, this population is more likely to have more diseases that can recur after being infected with COVID-19. From pandemic history, life expectancy and death rates are disproportionate between the wealthiest and most deprived populations. It is based on previous pandemic cases that the life expectancy and death rates between the wealthy and poor communities are excessive. We show the effect of social inequality on the growth of the COVID-19 death case using the SIR model for the COVID-19 outbreak considering that the reinfection of COVID-19 could happen in some cases knowing that immune could be waning between people that got recovered from the virus. By numerical calculations and illustrating it in the graph, the results show that cases with high social inequality tend to have higher death rates and cases with low social inequality levels tend to have lower death rates. Thus, social inequality could affect the death rate caused by COVID-19 cases. © 2021 Institute of Physics Publishing. All rights reserved.