Using the linear sequential model method for Android-based encyclopedias

During this COVID-19 pandemic, almost everything depends on technology. The use of digital learning media is needed so that education continues. This study aims to produce an Android-based digital encyclopedia as a medium for learning in elementary schools. The method for making android-based digital encyclopedias uses the linear sequential model (NGO) method or the waterfall method. The results showed that the linear sequential model (NGO) method is easy and systematic to create a digital encyclopedia used on Android. From the research results, the need for electronic media that is easy to use and the manufacture using the linear sequential model method becomes more systematic and can serve as the foundation for making other learning media. © 2023 Author(s).

Coinfection in the cases of feline panleukopenia: a literature review

Coinfection caused by bacteria, parasites, or viruses complicates almost all feline panleukopenia virus (FPV) infections. Pathogens that colonize the gastrointestinal tract, Clostridium perfingens, Clostridium piliforme, Cryptosporidium spp, Giardia spp, Tritrichomonas fetus, canine parvovirus type 2,Salmonella sp., feline coronavirus, feline bocavirus, and feline astrovirus were isolated in the presence of FPV infection. Complex mechanisms between viruses, bacteria, protozoa, and hosts contribute to the pathogenesis and severity of coinfection. Prompt and accurate diagnosis, vaccination precautions, and appropriate treatment play important roles in reducing morbidity and mortality. This article outlines the etiology, pathogenesis, diagnosis, prevention, and treatment that can help veterinarians and pet owners improve their knowledge of managing the diseases.

Analysis of Fraudulent Financial Reporting based on Fraud Heptagon Model in Transportation and Logistic Industry listed on IDX during Covid-19 Pandemic

The purpose of this research is to test the fraud heptagon research model in detecting fraud in financial statements using eight Beneish M-Score ratios. The data research method uses regression linear methods in terms of testing research hypothesis. Statistical data processing in this study uses the SPSS version 26 program. The object of this research are Indonesia's Transportation and Logistic Industry companies listed on the IDX within 2019-2021. The total sample of this research are sixteen companies or forty eight samples for three years of research which have been determined by purposive sampling method based on certain criteria's. The results of this study indicate that the fraud heptagon research model simultaneously affects the detection of fraud in financial statements. © 2022 ACM.

Comparison of characteristics between peptides in fish meat and fermented products

In the pasca of the COVID-19 pandemic, many researchers have focused on finding drugs for the COVID-19. Peptide research is predicted to have a physiological mechanism of action and it does not cause side effects, therefore it is necessary to search for peptide sources. The aim of this study was to characterize peptides extracted from tamban fish (Sardinella fimbriata) and fermented products (Cincalok of Tanjungpinang). Peptide extract was obtained by maceration extraction using 95% PA (1:5) ethanol solvent, and then it filtered using MWCO 3 kDa and 10 kDa. The amino acid characteristics of the peptides was obtained using HPLC. Peptides of tamban fish had the pH of 7.6 and they are rich of amino acid histidine (890.18 mg/L), in addition to the amino acids glutamate, tyrosine, glycine, leucine, alanine, and aspartic acid. But the peptides of the fermented cincalok product had the pH of 6.4 and they are rich of amino acid leucine (1066.83 mg/L), in addition to the amino acids glutamate, valine, isoleucine, and alanine. Each of these peptides had the molecular weight of 10 kDa. The results of this study can be used as preliminary information to the pharmaceutical development of a new source of peptides. © Published under licence by IOP Publishing Ltd.

Detecting Left Heart Failure in Echocardiography through Machine Learning: A Systematic Review

Background: Heart failure remains a considerable burden to healthcare in Asia. Early intervention, mainly using echocardiography, to assess cardiac function is crucial. However, due to limited resources and time, the procedure has become more challenging during the COVID-19 pandemic. On the other hand, studies have shown that artificial intelligence (AI) is highly potential in complementing the work of clinicians to diagnose heart failure accurately and rapidly. Methods: We systematically searched Europe PMC, ProQuest, Science Direct, PubMed, and IEEE following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and our inclusion and exclusion criteria. The 14 selected works of literature were then assessed for their quality and risk of bias using the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies). Results: A total of 2105 studies were retrieved, and 14 were included in the analysis. Five studies posed risks of bias. Nearly all studies included datasets in the form of 3D (three dimensional) or 2D (two dimensional) images, along with apical four-chamber (A4C) and apical two-chamber (A2C) being the most common echocardiography views used. The machine learning algorithm for each study differs, with the convolutional neural network as the most common method used. The accuracy varies from 57% to 99.3%. Conclusions: To conclude, current evidence suggests that the application of AI leads to a better and faster diagnosis of left heart failure through echocardiography. However, the presence of clinicians is still irreplaceable during diagnostic processes and overall clinical care;thus, AI only serves as complementary assistance for clinicians.

The Covid-19 pandemic impact on community mental health

The impact of the pandemic is felt by people all over the world. This is caused by stigmatization, discrimination, positive experiences of Covid, and disruption of social support. The purpose of this systematic literature review was to find out the psychological impact during the pandemic on the community. This systematic literature review was compiled by searching for articles from 2020 to 2021 contained in health databases from several journals such as Elsevier, BMC, Index, Cambridge University Press, Dove Press, and Wiley which was performed electronically. The inclusion criteria included in this study were focusing on the impact of the Covid-19 pandemic and mental health. From 20 articles, it was shown that psychological factors also played an important role in adherence to preventive measures in public health (such as vaccination) and how people deal with the threat of this virus infection with good health protocols. A person with a low level of education had a risk of being prone to depression and anxiety. This was because if someone with a high level of education had extensive knowledge about virus transmission so that they were better able to protect and cope with the anxiety and depression. Theoretically, the implication of this study is to enrich insight related to the impact of the Covid-19 pandemic on community mental health. While practically, this study might empower the community to maintain a healthy lifestyle during the pandemic that can prevent mental disorders. We hope this study will also empower stakeholders to create a policy that works in facilitating mental health assistant during the pandemic, especially for the Covid-19 patients in the community. © The Authors, published by EDP Sciences.

The implementation numeration learning using Covid-19 context assisted e-learning primary school teacher

Mathematics learning that needs to be taught of primary school teachers consists of selected math parts to develop abilities and shape the child's personality and is guided by the development of science and technology, wherein Numeration learning in the form of PISA type questions using the application of learning PMRI using Covid-19 context. The learning media that will be developed in this study will be assisted by the Universitas PGRI Palembang e-learning system named SISFO. By utilizing E-Learning, one of them is online learning during the Covid-19 pandemic. Data collection uses descriptive qualitative and continuous quantitative where the data is also described theoretically and also uses the calculation of results in numeracy learning which is applied to the mathematics learning development course of primary school teachers at Universitas PGRI Palembang. The purpose of this research is to produce an application of numeracy learning based on the characteristics and principles of PMRI. The data submission analysis technique is in the form of observation sheets and student learning outcomes tests in the form of documentation. The results of the study were in the form of observation scores from PMRI activities in numeracy learning and also in the form of student learning outcomes that were documented as a whole which had a positive impact on working on 10 questions of reasoning ability tests on numeration that had been tested for validity and reliability in learning to work on statistical content questions. © 2022 American Institute of Physics Inc.. All rights reserved.

How can android-based trigonometry learning improve the math learning process?

Using ICT-based interactive learning media is a learning method that strongly supports the teaching and learning process for students and teachers during the COVID-19 pandemic. This ICT-based learning media must be easily accessible to teachers and students, and one of the interactive media that is easily accessible is android-based learning media. This development research aims to design android-based learning media on valid trigonometric material and improve students' mathematical critical thinking skills. This development research using the ADDIE model took 121 Ipeople consisting of expert validators, user (teacher), and students. The expert validators consisted of one mathematics education material expert and one ICT expert. Meanwhile, user represented by one mathematics teacher were involved in validating the use of the media design. In addition, there were participants from among students, which included 118 class X high school students throughout the Province of West Java, Indonesia, who took part in a limited trial phase of 20 people, an extensive trial of 50 people, and a product trial of 48 people. A sample of 118 students came from high school in the medium cluster. So, the reason for taking the sample represents the condition of students both on the island of Java and in Indonesia. The results showed that the developed android-based learning media was valid and could be used without revision with a combined percentage of 87.33%, with details of material experts at 84%, media experts at 92%, and validation by mathematics teachers at 86%. The results of the practicality test on students of 81% showed that the Android-based learning media design had a strong response, so the learning media made were very practical to use. The product test results show that the achievement of mathematical critical thinking skills of students who learn to use android-based learning media is better than those who learn not to use android-based learning media.

Opportunity Focused, Innovativeness and Resource Leveraging towards Business Competitiveness in New Normal Era: A Case Study of Sanan Industry in Malang

Business sustainability in New Normal era is based on how smart is the ability of entrepreneur to maintain and develop their business especially during uncertainty in COVID-19 pandemic. Characters of entrepreneur define from the strategic management in managing their tangible and intangibles factors within their business models. This paper aims to understand the influence of intangible factors such as opportunity focused, innovativeness and resource leveraging towards business competitiveness in food industry. This is a quantitative research that is conducted in Sanan Industry of Malang which is a place of 65 chips home industries. Samplings were selected through a non-probability using the purposive method. The Structural Equation Modeling-Partial Least Square (SEM-PLS) method was used to conduct research analysis using the WarpPLS analysis tool. This study shows the results that opportunity focused and innovativeness have a positive and significant effect on the competitiveness, however improvement need to be done in resource leveraging competitiveness to survive the pandemic. © 2023 American Institute of Physics Inc.. All rights reserved.

The implementation numeration learning using Covid-19 context assisted e-learning primary school teacher

Mathematics learning that needs to be taught of primary school teachers consists of selected math parts to develop abilities and shape the child's personality and is guided by the development of science and technology, wherein Numeration learning in the form of PISA type questions using the application of learning PMRI using Covid-19 context. The learning media that will be developed in this study will be assisted by the Universitas PGRI Palembang e-learning system named SISFO. By utilizing E-Learning, one of them is online learning during the Covid-19 pandemic. Data collection uses descriptive qualitative and continuous quantitative where the data is also described theoretically and also uses the calculation of results in numeracy learning which is applied to the mathematics learning development course of primary school teachers at Universitas PGRI Palembang. The purpose of this research is to produce an application of numeracy learning based on the characteristics and principles of PMRI. The data submission analysis technique is in the form of observation sheets and student learning outcomes tests in the form of documentation. The results of the study were in the form of observation scores from PMRI activities in numeracy learning and also in the form of student learning outcomes that were documented as a whole which had a positive impact on working on 10 questions of reasoning ability tests on numeration that had been tested for validity and reliability in learning to work on statistical content questions. © 2022 American Institute of Physics Inc.. All rights reserved.

COVID-19 and Gender Role in Unemployment: How Women in Special Capital Region of Jakarta is Less Likely to be Unemployed During Economic Disturbance

The gender gap that occurs in Special Capital Region of Jakarta, between men and women has an impact on aspects of employment related to labor absorption. Increasing the number of optimal employment opportunities, both in terms of productivity and efficiency, can determine the success of economic development in a region. This study was conducted to see how likely it is that women are unemployed, in relation to the employment aspect in Special Capital Region of Jakarta which is based on secondary data from BPS and analyzed with a descriptive quantitative approach. The results showed that the open unemployment rate (TPT) in Special Capital Region of Jakarta in 2019-2020 experienced a significant increase in 2020, namely 4.86% for men and 4.5% for women. Different results are shown in the variable labor force participation rate (TPAK), which tends to experience a fluctuating trend with the participation rate of men being higher than women. In general, the COVID-19 pandemic has an impact on employment, which in turn has an impact on unemployment. During the COVID-19 pandemic, the unemployment rate was dominated by men, due to the high wages of men compared to women. In addition, women's labor force participation rates are relatively low compared to men's, causing women to have little chance of being unemployed. Female workers have higher resilience than male workers, this is due to the higher saturation of women in informal economic activities with entrepreneurship. Entrepreneurial activities tend to have more resilience than formal workers because there is no risk of termination of employment from the employer. © The Authors, published by EDP Sciences.

Correlation study between physical disability and covid-19 cases in Sleman, Indonesia

The spread of the highly infectious COVID-19 has severely impacted the global community. Population density and intense physical interaction are the catalysts of the virus spread. Many regulations were issued to halt the spread of the virus, including the limitation of people's mobility and physical interaction. With the limitation of mobility and physical interaction, many people with disabilities are struggling to access their needs since they depend on their caregivers. The lack of inclusive policies in the health system itself also ends up deprioritizing the disabled. This article aims to identify the correlation between physical disability and COVID-19 cases and identify the spatial distribution of the correlation in Sleman regency, Indonesia. This article presents the correlation with the qualitative approach using Pearson product-moment correlation method. The data used in this article is secondary data obtained from official government agencies. The findings of this study showed that Pearson correlation between physical disability and COVID-19 cases is 0,04346 and classified as very low positive. © The Authors, published by EDP Sciences.

Relationship of the Significance of Freshwater Use to Health Protocols During the Covid-19 Pandemic in Bantul Village, Yogyakarta

The Covid-19 pandemic has an impact on the use of freshwater. Freshwater has an essential role in preventing the spread of Covid-19 related to the implementation of health protocols also Clean and Healthy Living Behavior. The important factors that influence water use are socioeconomic conditions, including income level, type of work, and education level. The spread of Covid-19 significantly occurs in urban areas. Bantul village is the center of government, economy and one of the planned areas of urban settlements in Bantul Regency. Bantul village is also a hinterland of the Yogyakarta agglomeration area. This study was conducted to determine the influence of socio-economic conditions on the significance of changes in water use during the Covid-19 pandemic to implement health protocols in Bantul village. The data was obtained through interviews with 99 respondents based on random sampling techniques. This research was conducted with quantitative methods and descriptive analysis techniques. The result shows an increase in freshwater use during the pandemic, particularly washing hands and taking a shower. The highest increase in freshwater use is in Kurahan Hamlet. While in Grujugan Hamlet, there has been no increase. The increase in freshwater use indicates the suitable implementation of health protocols. © The Authors, published by EDP Sciences.

Modified Multi-Kernel Support Vector Machine for Mask Detection

Indonesia is one of the countries most affected by the Coronavirus pandemic with millions confirm cases. Hence, the government has increased strict procedures for using face masks in public areas. For this reason, the detection of people wearing face masks in public areas is needed. Face mask detection is a part of the classification problem. Thus Support Vector Machine (SVM) can be implemented. SVM is still known as one of the most powerful and efficient classification algorithms. The research aims to build an automatic face mask detector using SVM. However, it needs to modify it first because it only can classify linear data. The modification is made by adding kernel functions, and a Multi-kernel approach is chosen. The proposed method is applied by combining various kernels into one kernel equation. The dataset used in the research is a face mask image obtained from Github. The data are public datasets consisting of faces with and without masks. The results present that the proposed method provides good performance. It is proven by the average value. The values are 83.67% for sensitivity, 82.40% for specificity, 82.00% for precision, 82.93% for accuracy, and 82.77% for F1-score. These values are better than other experiments using single kernel SVM with the same process and dataset. © 2022 CommIT Journal. All rights reserved.

COVID-19 Incidence Prediction Model Based on Community Behavior With Neural Networks

BACKGROUNDS: The COVID-19 pandemic has created a global health emergency that requires a public health response to prevent the spread of the virus. AIM: The purpose of this study was to determine the prediction model for the incidence of COVID-19 based on the community behavior. METHODS: This study used a cross-sectional study design. The study population was all people aged above 18 years in Medan City. The samples were 395 people recruited by convenience sampling technique. The research instrument used was a questionnaire in Google form, then, we transferred the data from the survey to a computer program using Microsoft Office Excel. Furthermore, the data were analyzed using the neural networks method. Later, the features importance was calculated using the random forest with mean decrease impurity method. RESULTS: The results showed that, based on the confusion matrix, the prediction value for those who did not suffer from COVID-19 was correct from negative data = 8, the correct prediction value for COVID-19 from positive data = 8. While the incorrect prediction value for machines that predicted negative results but the actual data was positive = 2, and predicted a positive result but the actual data was negative = 4. Thus, based on the neural net classification method, the accuracy value was 72%. The results of this study indicate that poor preventive behavior by the community greatly affects the spread of COVID-19. CONCLUSION: Poor community behavior, such as not limiting their interaction or contact with other people, not exercising frequently, leaving the house without keeping a safe distance, and not washing hands regularly can all contribute to the COVID-19 transmission in the community.

Adopting To New Habits During The Covid-19 Pandemic: A Cross-sectional Study In The Dki Jakarta Province

Adapting New Habits (ANH) is a new way of life to maintain productivity during the COVID-19 pandemic by implementing COVID-19 prevention behaviors. The ANH implemented in stages according to specific regional conditions. This study aims to determine the factors influencing the people of DKI Jakarta in implementing ANH readiness behavior. This cross-sectional study was conducted from September-October 2020 in Jakarta by a voluntary sampling technique. The questionnaire was distributed by online form via social media and achieved total 424 respondents. The proportion for respondents with good ANH readiness behavior was 57.10%. The multivariate analysis showed gender (OR = 2.29;95% CI = 1.38-3.80), attitudes towards ANH (OR = 4.41;95% CI = 2.78-6.98), infrastructure for IMR (OR = 1.97;95% CI = 1.27-3.10), the frequency of seeking ANH information (OR = 1.94;95% CI = 1.24-3.03) was significantly related to ANH behavior (P < 0.05). Gender, attitudes towards ANH, infrastructure for ANH, and frequency of seeking ANH information had contribution in encouraging ANH readiness behavior among people in Jakarta. The Provincial Government and Health Office of Jakarta need to strengthen optimum health promotion and to design strategies to influence people's attitudes towards ANH.

Designing Pisa-like mathematics problem using a COVID-19 transmission map context

Regarding consistently poor outcomes in all PISA tests, the launch of minimum competency assessment (MCA) in 2021 creates concerns among students and educators regarding how learning will occur in the classroom. For this reason, this research aims to produce valid and practical PISA-like potentially affecting mathematics literacy to prepare them for MCA. Design research in the form of development studies is utilized in conjunction with online learning platforms. The findings reveal that the resulting PISA-like characteristics include the content of changes and relationships explored, the context used in the COVID-19 transmission map, and the PISA-like difficulty level at the reasoning level. To conclude, students worked on PISA-like relating change and relationship using COVID-19 transmission map context by predicting and interpreting information relevant to a given situation. © 2021 Author(s).

The numeration with lesson study assisted by E-learning Merdeka campus of COVID-19 contexts at primary school teachers Universitas PGRI Palembang

Teaching Classroom Management for the implementation of numeracy learning where using the COVID 19 context requires attention to every step that must be by the characteristics and principles of PMRI and also on PISA questions of PISA mathematical reasoning ability content where PISA in numeration pays attention to the level of students' knowledge where the resulting questions lead to primary school teacher candidate level of reasoning. This research is research that follows a literature theory study. However, the implementation of this study is the first step for dissertation research which is a stage in research development. This study uses e-learning assistance wherein PGRI there is already a special application, namely, sisfo where a primary school teacher can access online learning using the internet. The purpose of this study is to follow up on what numeracy is in PISA and also how the principles and characteristics of PMRI in applying this theory to practice. Where later this learning also combines lesson study as something new for primary school teachers who require a lot of learning activities with students' mathematical reasoning abilities about numeracy. Qualitative descriptive data collection techniques, which develop all existing literature as a basic theory study and work on initial questions in learning where primary school teacher candidates are introduced to numeracy questions using the COVID-19 context. So that the results of these questions are analyzed descriptively qualitatively. The results will be in the form of mathematical numeration problems that are typed on a computer because they are based on e-learning. The problem is to introduce the extent to which students know what numeracy and lesson study is. The data collection technique is observation and documentation in learning. The result is numeracy learning for students in the form of observation sheets and student answer documents in working on numeracy questions and geometric shapes. © 2021 Author(s).

Effects of the COVID-19 pandemic on eating habits and exercise habits of the selected high school adolescents in West Lampung Regency

Coronavirus Disease-19 (COVID-19) is a global pandemic that has infected various countries in the world, including Indonesia. Restrictions on activities outside the home including school closures in suppressing the transmission of COVID-19 have an impact on changes in physical activity and eating behavior in a direction that endangers health and causes nutritional problems, as well as increases the risk of NCDs that can exacerbate COVID-19 disease. This study aims to determine differences in exercise habits and consumption habits before and during the COVID-19 pandemic in selected high school students in West Lampung Regency. The study design of this study was cross-sectional using primary data obtained through filling out questionnaires and FFQ. The study was conducted in July 2020. The research sample consisted of 295 students who were selected using the purposive sampling method at selected public high schools in West Lampung Regency. The research data were analyzed using SPSS 2.0 using Mc Nemar test bivariate analysis. The results showed that there were differences in the frequency of exercise (p-value 0.000), exercise duration (p-value 0.000), vegetable consumption habits (p-value 0.021) and fruit (p-value 0.000) before and during the COVID-19 pandemic. There is no difference in the variables of snack consumption habits (p-value 0.280), fast food (p-value 0.207), fried food (p-value 0.180) and soft drinks (p-value 0.103). It can be concluded that, the COVID-19 pandemic has an impact on changes in exercise habits both in the frequency and duration of exercise as well as vegetable and fruit consumption habits of students selected high school in West Lampung Regency.

Environmental, education, training of human resources support for small and medium micro enterprises in bandung city and its impact on business performance: Case study on middle small micro enterprises, Bandung-West Java-Indonesia

The purpose of research is to find out how the conditions and support from the business environment, education, training in building the performance of Micro, Small and Medium Enterprises or MSMEs actors in the City of Bandung-West Java-Indonesia, at the time Covid 19 took place. This condition needs to be examined scientifically, given the very large contribution of this sector to Gross Domestic Product and labour absorption in the city of Bandung. The selected respondents were 45 micro, small and medium entrepreneurs in Bandung, with a questionnaire distributed online. The data obtained were tested by testing the validity, reliability, classical assumptions and data normality. To test the level of support contribution of each variable studied, qualitative and verification analysis were used, in the form of correlation coefficient analysis and determination. The results showed that qualitatively all the variables studied showed a fairly good level of condition and verification also showed that all the variables studied showed a very small contribution of support in creating the performance of MSME actors in Bandung City. Departing from the results of this research analysis, it can be concluded that the business environment, education, training in building the performance of Micro, Small and Medium Enterprises or MSMEs actors in the City of Bandung-West Java-Indonesia, at the time Covid 19 took place, had a very small and characteristic contribution of support. significant. © 2021 Karadeniz Technical University. All rights reserved.