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1.
AIP Conference Proceedings ; 2714, 2023.
Article in English | Scopus | ID: covidwho-20243501

ABSTRACT

The rapid global spread of the Covid-19 led to the utilization of online tools for various lecturing activities. Online learning is a change mandated on lecturers and students to achieve significant educational goals, irrespective of time and location. This research investigates factors affecting the use of the videoconferencing app, Zoom in supporting the online lectures. This study is quantitative research with the unified theory of acceptance and the use of technology (UTAUT) model to analyze online learning software acceptance. The research subjects consist of students and lecturers from the University of Bina Sarana Informatika (UBSI) Indonesia. The result shows that the performance and effort expectancies, as well as the social factors, affect users' attitude towards the software use and their behavioral intention. Also, the facilitating conditions affect their attitude with no significant effect on intention. © 2023 Author(s).

2.
1st International Postgraduate Conference on Ocean Engineering Technology and Informatics 2021, IPCOETI 2021 ; 2484, 2023.
Article in English | Scopus | ID: covidwho-2298675

ABSTRACT

The Covid-19 pandemic has devastated the health aspect and slumping economic impact. The government is having economic difficulties in 2020, especially for MSMEs (Micro, Small and Medium Enterprises). Many of them are unable to pay their debts to third parties, let alone expect a profit. Unfortunately, because MSMEs are the spearhead of the community's economy, especially in villages. In these conditions, the ability to innovate on products is more important to do, to meet market demand. Marketing capabilities using digital technology can also help broader marketing at competitive prices. The purpose of this study was to see the effect of the profitability of MSMEs during the Covid-19 pandemic, with the innovation capability variables and digital technology as independent variables. The method used is working on a questionnaire and testing the hypothesis using assumption tests and multiple linear regression. The results showed that partially the innovation capability affected the profitability of MSMEs. MSMEs that innovate to create products needed during a pandemic have high profitability. Digital technology does not affect the profitability of MSMEs. It happens because people do not usually use financial technology and lack confidence in the marketplace. Simultaneously the capabilities of innovation and technology affect MSMEs. © 2023 Author(s).

3.
4th International Conference on Life Science and Technology, ICoLiST 2023 ; 2634, 2023.
Article in English | Scopus | ID: covidwho-2227119

ABSTRACT

COVID-19 is a disease caused by SARS-CoV2 that had spread in 218 countries. The use of bioactive compound-based antivirals needed to be considered for COVID-19 treatment. One of the potential bioactive ingredients in COVID-19 treatment is chlorogenic acid of white turmeric (Curcuma zedoaria). One of target proteins for chlorogenic acid is Angiotensin Converting Enzyme-2 (ACE2) which is associated with the SARS-CoV2 infection pathway. A strategy that could be used for COVID-19 drugs design was by inhibiting ACE2, a viral receptor, using chlorogenic acid compounds from white turmeric. This study was aimed to predict chlorogenic acid compounds of white turmeric to inhibit ACE2 through reverse docking. Docking was done with Pyrx and visualized with PyMol and Discovery Studio software. Data gained from software and webserver were analyzed descriptively and compared with three control compounds. The results of this study concluded that chlorogenic acid from white turmeric could be recommended as oral COVID-19 drugs candidate. © 2023 American Institute of Physics Inc.. All rights reserved.

4.
International Journal of Electrical and Computer Engineering ; 12(6):6707-6715, 2022.
Article in English | Scopus | ID: covidwho-2080909

ABSTRACT

The coronavirus disease-19 (COVID-19) pandemic has spread to various countries including Indonesia. Thus, implementing large-scale social restrictions (Bahasa: Pembatasan Sosial Berskala Besar (PSBB)) has resulted in the paralysis of the economy in Indonesia. including micro, small, and medium enterprises (MSMEs) have decreased turnover and even went out of business. The Department of Cooperatives and Small and Medium Enterprises (SMEs) in Pesawaran Regency, Lampung, oversees 3,808 MSMEs, whose development should be monitored as a basis for determining policies. However, there are problems in classifying MSMEs according to their categories because they have to check the existing data one by one, so it takes a long time. Therefore, this study proposed the C4.5 algorithm to solve this problem. In addition, this research compared with the naïve Bayes algorithm to find out which algorithm had a good performance and is suitable for this case. The results showed that 91% of MSMEs were included in the micro category, 8% was in a small category, and 1% was in the medium category. Based on the results, it explained that the C4.5 algorithm was bigger than naïve Bayes with a difference in the value of 3.79%. It had an accuracy value of 99.2%. Meanwhile, naive Bayes was 95.41%. © 2022 Institute of Advanced Engineering and Science. All rights reserved.

5.
NeuroQuantology ; 20(7):2675-2684, 2022.
Article in English | EMBASE | ID: covidwho-1979736

ABSTRACT

In December 2020, Indonesian people were still shaken by the corona virus (COVID-19) pandemic. The government is trying to deal with this outbreak. So far, the emergency public activity restrictions (PPKM Darurat), level 1-4 has been extended several times. The number of positive COVID-19 patients is still relatively high, although the number continues to decline, so that anxiety among the public is still visible. It affects people's mental health. The Banyumas Regency Government has made every effort to overcome this problem, but has not succeeded because there are still a lot of people who do not care about handling COVID-19. This studyaims to (a) map interaction problems in dealing with the corona virus, (b) social solidarity and (c) strategies taken to maintain mental health. The method of the research is qualitative with an embedded-case study, female informants from dasa wisma (a group consisting of 10-20 family heads that are close together), people infected with the corona virus, neighborhood unit (RT) officers. The informant collection technique is purposive sampling, data was taken by in-depth interviews, focus group discussions and observation, while the analysis used is interactive analysis. The results show that the social interactions of rural and urban communities in responding to neighbors who are positively infected with COVID-19 are different. Rural communities tend to "isolate" people affected by COVID-19 because they still have a relatively low understanding of COVID-19, while urban communities tend to be more open. In general, thesocial solidarity that is built is relatively the same, namely mechanical solidarity with different technicalities according to the situation and conditions of the surrounding community. Social solidarity built on “jogo roso and jogo tonggo” (neighbors respect and care for one another), the strong role of dasa wisma and PKK (Family Welfare Movement) women team in neighborhood unit level (RT). The strategies taken to maintain the mental health of people affected by COVID-19 and the surrounding community in general are taking a religious approach, getting closer to God, watching YouTube videos, reading the Quran, listening to religious lectures on TV, readingbooks about COVID-19, drinking herbal ingredients and thinking positively. To support the health workers, the women from dasa wisma are trained and equipped with the basic skills of checking temperature, blood pressure, oxygen saturation and supervision. The implications and roles of RT and RW (community units) administrators are further enhanced in socializing the understanding of the corona virus by implementing crisis management.

6.
Frontiers in Education ; 7, 2022.
Article in English | Scopus | ID: covidwho-1809366

ABSTRACT

Introduction: The COVID-19 pandemic has caused disruptions in educational institutions across the country, prompting medical schools to adopt online learning systems. This study aims to determine impact on medical education and the medical student’s attitude, practice, mental health after 1 year of the Covid-19 pandemic in Indonesia. Methods: This study utilized a cross-sectional design. An online questionnaire was distributed digitally to 49 medical schools in Indonesia from February–May 2021. A total of 7,949 medical students participated in this study. Sampling was carried out based on a purposive technique whose inclusion criteria were active college students. This research used questionnaires distributed in online version among 49 medical faculties that belong to The Association of Indonesian Private Medical Faculty. Instruments included demographic database, medical education status, experience with medical tele-education, ownership types of electronic devices, availability of technologies, programs of education methods, career plans, attitudes toward pandemic, and the mental health of respondents. Univariate and bivariate statistical analysis was conducted to determine the association of variables. All statistical analyses using (IBM) SPSS version 22.0. Results: Most of the respondents were female (69.4%), the mean age was 20.9 ± 2.1 years. More than half of the respondents (58.7%) reported that they have adequate skills in using digital devices. Most of them (74%) agreed that e-learning can be implemented in Indonesia. The infrastructure aspects that require attention are Internet access and the type of supporting devices. The pandemic also has an impact on the sustainability of the education program. It was found that 28.1% were experiencing financial problems, 2.1% postponed their education due to this problems. The delay of the education process was 32.6% and 47.5% delays in the clinical education phase. Around 4% student being sick, self-isolation and taking care sick family. the pandemic was found to affect students’ interests and future career plans (34%). The majority of students (52.2%) are concerned that the pandemic will limit their opportunities to become specialists. Nearly 40% of respondents expressed anxiety symptoms about a variety of issues for several days. About a third of respondents feel sad, depressed, and hopeless for a few days. Conclusion: The infrastructure and competency of its users are required for E-learning to be successful. The majority of medical students believe that e-learning can be adopted in Indonesia and that their capacity to use electronic devices is good. However, access to the internet remains a problem. On the other side, the pandemic has disrupted the education process and mental health, with fears of being infected with SARS-CoV-2, the loss of opportunities to apply for specialty training, and the potential for increased financial difficulties among medical students. Our findings can be used to assess the current educational process in medical schools and maximize e-learning as an alternative means of preparing doctors for the future. Copyright © 2022 Turana, Primatanti, Sukarya, Wiyanto, Duarsa, Wratsangka, Adriani, Sasmita, Budiyanti, Anditiarina, Ainin, Sari, Darwata, Astri, Prameswarie, Tursina, Purbaningsih, Kurniawan, Widysanto, Setiawan, Ma’roef, Yuliyanti, Rahayu, Sahadewa, Raharjo, Lestari, Pinilih, Dewi, Dinata, Permatasari, Rahayu, Mahardhika, Herlinawati, Hayati, Setyonugroho, Diarsvitri, Purwaningsari, Chiuman, Latief, Triliana, Tubarad, Triastuti, Sompa, Angreni, Lubis, Tadjudin, Pandhita, Pramuningtyas, Anas, Ayuningtiyas, Ivone, Yunita, Handayani, Puspitasari, Tendean, Suswanti and Kurniawan.

7.
2021 2nd International Academic Conference on Energy Conservation, Environmental Protection and Energy Science, ICEPE 2021 ; 271, 2021.
Article in English | Scopus | ID: covidwho-1287832

ABSTRACT

Covid-19 detection in food is an effective solution to ensure the accurate detection rate of Covid-19. The difficulties and detection methods of food virus safety detection and the feasibility of digital PCR detection technology are analyzed. The main parameters and characteristics of dPCR technology and other PCR technologies are compared. The application of dPCR technology in the detection of food viruses and pathogenic bacteria, the application of dPCR technology in the preparation and purity verification of Covid-19 RNA reference material, and the steps and methods of dPCR technology in food testing Covid-19 were expounded. Compared with traditional detection methods, digital PCR technology has great advantages in virus detection limit and stability. dPCR will develop towards high flux and automation, and achieve the absolute quantification of multiple target sequences at low cost. It will help to play a crucial role in the detection of covid-19 in food. © 2021 The Authors, published by EDP Sciences.

8.
6th International Symposium on Wetlands Environmental Management, ISWEM 2020 ; 758, 2021.
Article in English | Scopus | ID: covidwho-1254321

ABSTRACT

Pressure on peat swamp forests in Ogan Komering Ilir (OKI) Regency for timber extraction, agricultural land, oil palm plantations, and pulp and paper plantation forests cause degradation of peat swamp forest. Communities living around peat swamp forests in OKI Regency are affected by changes of peat swamp forests and Covid-19 pandemic. This study aimed to examine the livelihood strategies of communities around peat swamp forests due to degradation of peat swamp forests and Covid-19 pandemic. The sustainable livelihood analysis was used as an analytical framework in this study. The data obtained were analyzed descriptively qualitatively and quantitatively. The diversification strategy was appropriate to be implemented because it allows the community to achieve improved welfare and be sustainable under peat swamp forest ecosystem change and Covid-19 Pandemic. The diversification strategy also reduced community dependence on natural resource-based livelihoods. Increasing the quality and quantity of human, social, financial, and physical capital were enabling the diversification strategy. © Published under licence by IOP Publishing Ltd.

9.
IOP Conference Series. Earth and Environmental Science ; 747(1), 2021.
Article in English | ProQuest Central | ID: covidwho-1238158

ABSTRACT

This study aims to evaluate the implementation of the workshop in using google classroom as social community services for elementary school teachers and learning assistance at home for Elementary school students in Kare district, Madiun. With the Covid-19 pandemic outbreak, there were several problems faced by teachers and students in several elementary schools in Kare, they are;1) teachers had a problem in operating google classroom as media for teaching, 2) students had a problem in using Google Classroom, 3) Parents had difficulty in monitoring or assisting children’ work. Starting from this problem, it is necessary to do a workshop for teachers in maximizing the using of Google Classroom and doing a learning assistance program for students at home. Furthermore, the steps in implementing this program are;1) doing workshops and mentoring teachers;2) mentoring and assisting student s;3) reflecting on activities and planning follow-up and program dissemination. The participants of this workshop were 26 teachers;while the participants of home-community were 10 groups which consist of 66 pupils handled by 12 university students. By doing this program, it is hoped that there will be an improvement in the quality of online teaching learning process in the elementary schools in Kare, Madiun. The results showed that:1) 81% of teachers were enthusiastic in participating in the workshop of Google Classroom, 2) the activities in assisting students at home done by Universitas PGRI Madiun’s students helped primary students in understanding the material and using Google Classroom, even though 34% of students still had connectivity problems in accessing Google Classroom, 3) 75% of parents were satisfied with Home Learning Assistance done by UNIPMA’s students.

10.
Journal of Physics: Conference Series ; 1722, 2021.
Article in English | Scopus | ID: covidwho-1096446

ABSTRACT

A phenomenon of coronavirus became a big deal around the world at the end of December 2019. To find out how deadly the disease is, we can use the Case Fatality Rate (CFR), which provides the ratio number of deaths due to covid-19 between founded cases number of covid-19. However, studies to see the relationship between the number of cases and the number of deaths caused by covid-19 in Indonesia rarely done. Time Series analysis that can see how the relationship between the number of cases and the number of deaths due to covid-19 in Indonesia is Vector Autoregressive Integrated Moving Average analysis (VARIMA). Data used in this model must be qualified the stationary. For that reason, the transformation using differencing and logarithm on data must be performed to resolve non-stationary. The result shows the model that fulfilled all assumptions and had the smallest AICC value is VARIMA (1,1,1). The model shows the number of cases influenced by the number of cases and the number of deaths in the previous period. The same condition applies to the number of deaths affected by the number of deaths and the number of cases from the preceding period. © 2021 Institute of Physics Publishing. All rights reserved.

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