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The Covid-19 pandemic that has occurred in the past two years is still the main topic, especially when this pandemic ends. The essence of the Covid-19 pandemic is the movement of people (as virus carriers) from one place to another. The move allows a location to be interconnected with other locations in the increase in Covid-19 cases. This linkage is a spatial relationship between locations. The same applies to the relationship between time. The main factor is the incubation period of the virus, which causes the increase in cases today to be influenced by cases in the past few days. The two correlations between spatial and time are combined to form the basis for space-time modeling. The model used is the Generalized Space-Time Autoregressive (GSTAR) model, limited to the order of 1:1. The uniqueness of this model is the presence of a weight matrix representing the spatial correlation. In this study, the weight matrix was modified using the Queen Contiguity Weight Matrix, which is based on neighbors directly adjacent or not between locations. The data used in this study is data on positive confirmed cases of Covid-19 per district in three provinces on the island of Java, namely Banten, DKI Jakarta (the state capital), and West Java. The total locations used are 41 districts/cities. The modeling step is to calculate the weight matrix, then estimate the parameters, and finally, the prediction for the following five periods (which is also the primary goal of this study). The results obtained predictive values for 41 districts/cities on June 12-16, 2022. [ABSTRACT FROM AUTHOR]

During the Covid-19 pandemic, the use of health services has increased significantly, therefore, the production of medical waste also experienced a high increase. The most appropriate and suitable technology to destroy medical waste is incineration or combustion technology, one of which is fluidized bed combustion (FBC). In addition, the FBC technique can also reduce hydrocarbon gases resulting from combustion so as to reduce dioxins into the environment. The reduction in carbon gas during combustion is caused by the absorbent used as a bed material for fluidization process. This study used alumina sand bed material with variations in diameter of 0.2 mm, 0.5 mm, 0.8 mm and 1.1 mm. This research was conducted with an experimental approach method using a laboratory scale FBC reactor and modeling using the Barracuda Virtual Reactor Computational Particle Fluid Dynamics (CPFD) software simulation. The results of this study indicate that alumina sand with a diameter of 0.2 mm has ability to capture more carbon than other sand diameter variations. Based on the simulation, the variation of the 0.2 mm diameter also shows the best solid mixing results due to the relationship between the fluidization movement of the bed material in the reactor and the bed material's ability to reach the highest up to 50 cm from the bottom of the reactor in the 60th second simulation. [ABSTRACT FROM AUTHOR]

From 2019-2021, the world faced the COVID-19 virus pandemic, which extraordinarily impacted the economic and health sectors. Indonesia is one of the countries that has also felt the impact of COVID-19. In 2022, the virus pandemic has decreased, but as citizens, we still prevent the impact of other viruses. Schools are places that need to be considered in efforts to prevent the spread of COVID-19 in 2020. One of the schools that will return to normal activities is elementary school. Elementary school is a significant place to be concerned about because of the many interactions. Health implementation protocols are one of the efforts to handle the spread of disease. Therefore, a washbasin is one of the tools that can be used to prevent viruses in elementary schools. During the COVID-19 virus pandemic, many portable washbasins were designed to prevent the spread of the COVID-19 virus. However, there are still some shortcomings in washbasin that have been designed and used in efforts to prevent viruses. One of the shortcomings in the washbasin that was designed earlier is the lack of user comfort because the size/dimensions used are still not yet tailored to the user of the washbasin. Based on the shortcomings outlined, it is necessary to redesign an ergonomic portable washbasin for elementary school students. The design of the portable washbasin uses the Quality Function Deployment (QFD) method. The result of this study is a redesign of portable washbasin for elementary school pupils oriented towards consumer desires. The draft has considered 100 anthropometric data from primary school pupils. The data is a reference in determining the designed product size. These features include wipes and hand sanitizers on the washbasin, a mechanical work system for operating the faucet, and taking soap when washing hands. [ABSTRACT FROM AUTHOR]

Public interest in investment instruments such as gold and stocks has increased in the last four years. This study used the Markov Chain to compare the performance of two investment instruments: gold and stocks. Although many s udies have used the Markov Chain to predict investment performance, no research compares different types of instruments simultaneously. On the other hand, there has been no research linking the results to the Covid-19 pandemic. This study used the Markov Chain because it is accurate and suitable for forecasting stock prices and gold. The results show that five stock sectors will experience an increase with the probability of more than 60%: transportation, consumer cyclical, energy, finance, and industrial. On the other hand, gold will also experience an increase in the long term with the probability of more than 50%. Markov chain can be used as the initial phase by selecting sectors likely to increase before urther technical analysis. First passage time indicates that stocks are more volatile, with an average transition from "up" to "down" for only one month. [ABSTRACT FROM AUTHOR]

Regions in Indonesia prior to the COVID-19 pandemic were actively building housing that really helped the community in the availability of decent housing. The COVID-19 pandemic has caused a decline in the number of construction projects throughout the country, including housing developments. The purpose of this study was to find out about the effect of COVID-19 on the risk of work carried out in the construction world in several cities in Indonesia, especially in residential construction. The results of the study contained 8 risk factors for delays (material factors); labor factors (labors); equipment factors (equipment); financial factors (financing); environmental/situation factors (environment); regional restriction factors (PSBB/PPKM); Site characteristic factors; managerial factors (managerial)) and 57 risk variables in the survey, there were 9 invalid risk variables and 48 valid risk variables in housing construction during the covid-19 pandemic which affected the delay in the work, it was found 10 highest risk. Strategies that can be applied to the implementation of Housing Construction Projects during the pandemic and post-pandemic, are adjusted to the main factors that are formed. For the first Main component, the solutions that can be applied include: 1) Controlling the Project cash flow effectively and efficiently; 2) Application of the method of analysis of the value of the results (earn value method) to control the project budget and time; 3) Prepare project unexpected budgets; 4) Implement strict health protocols on ongoing projects. [ABSTRACT FROM AUTHOR]

In December 2019, the World Health Organization (WHO) China Country Office reported a case of pneumonia of unknown etiology in Wuhan City, Hubei Province, China. The spread of the COVID-19 virus has also reached the territory of Indonesia. In Indonesia itself, the Government's efforts to deal with this virus have been carried out, namely by forming a COVID-19 Task Force (Covid-19 Task Force) which has several programs, one of which is spraying disinfectants on various roads throughout Indonesia. This study aims to determine the effect of liquid disinfectant immersion on the characteristics of HRS-WC in the Marshall test. There are two treatments, namely the manufacture of normal mixed test specimens, and specimens immersed in disinfectant liquid. For the treatment of specimens immersed in disinfectant liquid, immersion was carried out with concentration variations of 100% liquid disinfectant, 75% liquid disinfectant+25% water, 50% liquid disinfectant+50% water, and 25% liquid disinfectant+75% water and variations in immersion time of 1, 2 and 3 minutes. The results showed that the effect of the length of the immersion time for each disinfectant variation on the optimum asphalt content, namely asphalt content of 7%, reduced the characteristics at normal levels with the largest decrease occurring in immersion with 100% disinfectant content with the immersion time of 3 minutes. This indicates that disinfectant variations and immersion time have a negative effect on asphalt quality. [ABSTRACT FROM AUTHOR]

The impact of the COVID-19 pandemic influences different aspects of society, including tourism. The policy of limiting community activities encourages the closure of various tourist attractions. Alian Butterfly Park is a butterfly breeding park and butterfly education tour. Due to critical conditions caused by the COVID-19 pandemic, a visit to this place was limited. This encourages the need for alternative media applications to support butterfly garden educational tours. We developed the Interactive virtual tour application as an alternative medium for potential visitors in the era of the COVID-19 pandemic. The virtual tour has two main features that use virtual reality technology: Virtual Tour 360 and Virtual Exhibition 3D. Evaluation of the system is carried out using the User Experience Questionnaire (UEQ) testing to test the user experience. UEQ results obtained Excellent results for aspects of attractiveness, clarity, stimulation, and novelty, and Good results for efficiency and accuracy. The virtual tour lets the manager do promotions, making it easier to introduce the location virtually. [ABSTRACT FROM AUTHOR]

Covid-19 is a new type of disease caused by the Sar-CoV-2 virus found in China. This virus spread very quickly until it reached Indonesia. Data shows that every month there is an increase in positive cases of Covid-19 in Indonesia, one of which is in Pangkalpinang City. To reduce the rate of spread, the Government of Indonesia has implemented related policies, namely the implementation of a health protocol known as washing hands, wearing masks, and keeping a distance). However, the health protocol has not been fully implemented by all elements of society. The purpose of this study was to determine the variables that influence the Covid-19 prevention strategy based on the community's behavior, to determine the number of clusters and the behavioral characteristics of each cluster, and to develop appropriate prevention strategies. The method used is clustering with the K-Means algorithm. Data processing is done using the value of k is 3. The data processing results show that 3 clusters are formed, namely the community cluster that complies with the health protocols by 23.84%, the community cluster that does not comply with the health protocols by 52.52%, and the community cluster that is very compliant with the health protocol by 23.64%. Cluster 2 is a community that does not comply with health protocols, so a special strategy is needed. Based on the results of the regression values, it was found that the Covid-19 news anxiety variable had a positive effect on awareness of maintaining distance. [ABSTRACT FROM AUTHOR]

The new life adaptation protocol implemented in Institut Teknologi Sumaterea (ITERA) during the COVID-19 pandemic requires visitor identity check to restrict access to several buildings and reduce the massive spread of the corona virus. The inspection is carried out by manually collecting visitor information, which can result in a queues buildup of vehicles that want to enter the ITERA environment, and also, the identity of incoming visitors is not adequately monitored. In addition, the smart camera system for visit recording is built with the ability to identify visitors' faces, which triggers automatic gate access and records visitor information. Visitor information is stored in the form of identity number, name, visitor status, time/date of visiting, and information about the location of visitors. The visitor data is stored in a database and can be accessed by ITERA on the visitor website page. The system has an ability to trigger automatic gate to give an order to open or close the gate based on the face recognition results. The system development is divided into three stages: face recognition development, website-based data visualization creation, and hardware development. At each stage, the development produces a system with face recognition capabilities, a visitor recorder website, and a series of automatic gate hardware consecutively. The face recognition system connects directly to the website via the Firebase database. The development of the system capability for face recognition is carried out using a learning model of the K-Nearest Neighbor (K-NN) algorithm method, which obtains the training results have an accuracy of 99% using a confusion matrix method. [ABSTRACT FROM AUTHOR]

Airflow sensor is an important component in medical ventilators. It measured the air flow rate, tidal volume, and minute volume delivered to the patient. During the COVID-19 pandemic, airflow sensors were not locally available due to international demand; also, their design and fabrication for this medical application require complex processes and standards. This work aimed to develop flow sensors for medical ventilators. Two types of airflow sensors have been created: orifice-based flow sensors and venturi-based flow sensors. Methods for flow sensor development include defining design specifications, developing CAD design, choosing the material for housing, 3D printing, flow sensor assembly, testing, and calibration. Performance analysis was performed for accuracy, precision, and linearity across the desired flow range encountered in mechanical ventilation. The prototypes of flow sensors have also been compared their performance to commercially available flow sensors. Using a statistical analysis t-test, it was observed that there was no difference in performance between the prototypes and the commercial flow sensors. These airflow sensors had been installed in the automatic airbag ventilator #BPPT3S-POLY for measuring the tidal volume and minute volume delivered to the patients. [ABSTRACT FROM AUTHOR]

Implementing learning during the COVID-19 pandemic in Indonesia has resulted in the essence of learning not being achieved, which is a process of change in behavioral aspects. Meanwhile, in this era and future, professional resources who have abilities to think beyond and create something that can solve the issues are still needed in the industry. Education models and methods must be developed to replace conventional methods that are no longer sufficient to satisfy the needs of those kinds of issues. One of the learning models known to be effective and popularly used is the Project Based Learning (PjBL). Utilizing game elements in the learning method is also believed to be one of the effective ways in learning activities to gain better learning results. In recent years, one of the technological trends that have been studied by researchers in many fields is the Game Technique in education. Modification of the learning method and model is still in development, but research that combines the two methods is still very little developed. This study aims to analyze trends in the development of Gamified-PjBL in physics learning research in 2017-2022 using the bibliometric method aiming to describe (1) VOSviewer visualization of publication developments and (2) VOSviewer visualization of publication developments based on researchers. The results of Vosviewer's visual analysis show that educational research with the keywords G-PjBL on science, especially physics, is quite a trend in 2019. However, there are still very few who review these two topics simultaneously. There is a potential for novelty in research on applying a gamified Project-based Learning model to the physics concept. [ABSTRACT FROM AUTHOR]

This research aims to utilize robotics technology to create an Arduino-based automatic trash can innovation with an infrared sensor that integrates STEAM learning based on problems in the surrounding environment during the Covid-19 pandemic. This study follows the research procedure of the Research and Development (R&D) model. The innovations made in this automatic trash can include being able to open and close automatically, being able to find out the capacity of the remaining trash can, and being able to provide feedback in the form of thanks for the efforts of the community who have disposed of their trash in the right place. The innovation of making automatic trash cans that are integrated with the STEAM approach can be used as alternative learning that can improve students' critical, creative, and logical thinking skills and scientific work and can trigger students' enthusiasm to be able to continue to innovate in solving problems in the surrounding environment. In addition, with the innovation of the automatic trash can, it is hoped that it can inspire and educate the public to dispose of waste according to the place provided. [ABSTRACT FROM AUTHOR]

When the COVID-19 pandemic hit, most universities in Indonesia implemented emergency distance learning. Lecturers might face one of the most challenging times because they are forced to convert face-to-face learning into online classes using Video conference Meetings with no prior experience. Although the situation was only applied temporarily, lecturers conducted emergency distance teaching for almost three years, and it could affect their mental health. This study aims to identify the effects of video conference fatigue on burnout by considering online teaching self-efficacy as the mediator. The study focused on the emergency remote teaching situation during the COVID-19 pandemic by excluding open universities due to their prior experience. A convenience sampling technique was implemented to select participants, and 501 lecturers in Indonesia were included in this study. The result shows that burnout is affected by video conference fatigue after being mediated by online teaching self-efficacy. While online teaching self-efficacy shows adverse effects on burnout, this study found that video conference fatigue has both a positive direct and indirect impact on burnout even after including online teaching self-efficacy as the mediator. To conclude, online teaching self-efficacy was identified as a significant mediator in the relationship between video conference fatigue and burnout. [ABSTRACT FROM AUTHOR]

Emergency distance teaching was distance learning that applied temporarily for a short period of time and without planning from the start with the aim of keeping the learning process going. The change in face-to-face learning during the COVID-19 pandemic occurred significantly and suddenly, without any prior anticipation, struck various challenges for implementing the learning activities. Lecturers also face new challenges during distance learning, facing new environments due to the application of working from home. Several psychological issues arose, particularly anxiety that might impact a person's ability to perform at an adequate level. This study aims to see the direct and indirect effects of several determinants like emotion regulation, gender, and academic ranks on anxiety among lecturers in Indonesia, and burnout serves as a mediator. A cross-sectional study was carried out to observe the population of this study during one specific time using The Hopkins Symptom Checklist-25, The Emotion Regulation Questionnaire, and the Teacher Burnout Scale. 501 participants consisting of 318 female and 183 male lecturers across provinces in Indonesia were included in this study. The convenience sampling technique was applied to select participants based on the criterion of study sampling. The result showed that emotional regulation worked both direct and indirect effects with different impacts. Only expressive suppression strategy significantly both directly and indirectly influenced anxiety. Meanwhile, cognitive reappraisal worked significantly only with an indirect effect mediated by burnout to anxiety. The impact was negative, which means the more lecturers used cognitive reappraisal, the lower the chance they could experience burnout and anxiety. This study also found that academic rank also presented a negative indirect effect on anxiety after being mediated by burnout. On the other hand, anxiety was not significantly influenced by gender. Therefore, this study found a significant contribution of emotion regulation and academic ranks toward anxiety mediated by burnout among lecturers. [ABSTRACT FROM AUTHOR]

After the COVID-19 pandemic ended, the Ministry of Education, Culture, Research, and Technology launched a new learning curriculum called the Merdeka Curriculum that requires teachers to use various kinds of learning media. However, a few of the technology-illiterate teachers keep using the same learning media monotonously, which makes the students bored to study. The goal of this research is to develop a learning media called Physicatz learning application for topics impulse and momentum that is feasible to be used in physics learning. The model that has been used in this research is the ADDIE model with steps: (1) Analytic, (2) Design, (3) Development, (4) Implementation, (5) Evaluation. This research obtained a percentage score of 81% from material experts, 90% from media experts, and 92% from learning experts. This application is also being tested on physics teachers with a percentage score of 95% and 74% score from 39 second-graded SMAN 30 East Jakarta science students. The slightly lower score compared to other validations came from the student's point of view due to limitations of their access to the internet. [ABSTRACT FROM AUTHOR]

A web-based referral tool called SIIRMAAYU is available to moms (mothers) and newborns (neonatal) in the Indramayu District. In order to manage health referrals throughout the 2020–2022 COVID-19 pandemic, this application has been used for more than 10 years, from 2013 to the present. This study tries to investigate the elements that affect both intention and conduct. Unified Theory of Acceptance and Use of Technology (UTAUT2)'s Maternal Neonatal Applications Indramayu (SIIRMAAYU) acceptanceModifications have been made to the Unified Theory of Acceptance and Use of Technology (UTAUT2) model for this study. We collected primary data by utilizing WhatsApp to distribute a Google Forms-based survey to a large audience. Users who had used the app for at least a year and lived in Indramayu were considered research participants. They also had to have referred patients who were pregnant or nursing. 418 persons were collected from the sample using the nonprobability purposive sampling technique. The investigation makes use of AMOS software and structural equation modeling (SEM). According to the findings, the UTAUT2 model may be applied to analyze the Behavioral Intention of application usage and can explain how Use Behavior affects that usage. This research concluded that Habits (H) are significantly influenced by the elements of facilitating conditions (FC) and effort expectancies (EE). In the meantime, usage behavioral intentions (BI) are significantly influenced by performance expectations (PE) and habits (H). While having little effect on usage intention is hedonic motivation (HE), pricing values (PV), and social influence (SI). This study demonstrates that in order to assess the adoption of the SIIRMAAYU application, the UTAUT2 model needs to be updated. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, Institut Teknologi Indonesia (ITI) also employed an e-learning model through the siAkadCloud application. Along the way, problems were encountered when using siAkadCloud, especially by novice users, as no research had been conducted to determine the level of usability of siAkadCloud. This research aims to enhance the usability of siAkadCloud, a specific application utilized by ITI. The research framework is based on the International Organization for Standardization (ISO) and consists of attributes of effectiveness, efficiency, and user satisfaction. The attributes of effectiveness and efficiency are related to the ergonomic display concept. The application's effectiveness and efficiency were measured through Usability Testing. Data collection was conducted using three methods: task tests, questionnaires, and interviews. The research sample comprised two groups of users, namely five skilled users and five novice users. The research took place from April to July 2022. Measuring user satisfaction through the USE Questionnaire yielded the following results (using a Likert scale of 1-5): usefulness (4.16), ease of use (3.82), ease of learning (4.05), and satisfaction (3.41). The average usability value for siAkadCloud was 55.6%, categorized as 'sufficient.' Proposed improvements for siAkadCloud include adding several features, such as a search field, a help button, and the ability to download and print study plans and transcripts. Interface display improvements were made by using a white background and blue and black fonts, enhancing color contrast. These features and display enhancements increased the usability value of the siAkadCloud application to 76.76%, categorized as 'user-friendly. [ABSTRACT FROM AUTHOR]

This article was written to review the existing research in Indonesia related to the process of assessing mathematics learning during the COVID-19 pandemic. The results of the study focused on the obstacles, the alternative assessments, and the benefits of the assessment. Articles were analysed qualitatively through five steps, namely identification of research questions, identification of relevant articles, article selection, article mapping, and compiling, summarising, and reporting the results. The research data was sourced from 31 research articles. The results of the content analysis of the article show that some of the assessment constraints are: (1) the assessment only focuses on the cognitive domain; (2) educators do not directly observe students' skills; (3) poor internet connection; (4) students do not have gadgets; (5) educators have difficulty making exam questions; (6) lack of mastery of technology; (7) students commit fraud; (8) lack of student motivation; and (9) lack of peer help. Alternative assessments during the pandemic, namely: (1) online tests; (2) quizizz; (3) Google Classroom; (4) portfolio; (5) self-assessment; (6) face-to-face learning through home visits; (7) attitude assessment by looking at the activity, responsibility for doing assignments, and student attendance; (8) knowledge assessment is seen from the student's ability to work on the questions; (9) assessment of skills with performance techniques; (10) formative assessment, (11) poster presentation; and (11) students get teacher empathy. The benefits of online assessment are (1) fast feedback, (2) students can control their assessment, (3) saving time, (4) reducing cheating, and (5) supporting students' higher-order thinking skills. [ABSTRACT FROM AUTHOR]

Due to COVID-19, the entire learning process must be held online. Online learning activities during the COVID-19 pandemic could affect students' literacy skills if the learning could be optimally carried out. One of the learning models that can be applied to support students' chemical literacy is the guided inquiry learning model. This study aimed to determine the effectiveness of the guided inquiry learning model on the chemical literacy of high school students on electrolyte and nonelectrolyte material in 10 grade SMA Negeri 2 Malang. The research type is a quasi-experimental. The design in this study used a pretest-posttest control group design. The subjects of this study were students of SMAN 2 Malang, grade X MIPA-2 as the control group and grade X MIPA-3 as the experimental group. The experimental group was given guided inquiry learning, while the control group was given expository learning. The chemical literacy test instrument was adapted from the instrument developed by Zaidah. The results of the chemical literacy test are used to determine students' chemical literacy ability and scientific attitude. Data were analysed using the Whitney test through SPSS 25 for Windows. The results showed that there is no significant difference in increasing chemical literacy skills, and the effectiveness of guided inquiry learning in electrolyte and nonelectrolyte material is in the medium category, with a score of 0.2227. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has changed various aspects of education, including teachers' perceptions of professionalism. This study aimed to determine the teacher's perception of professionalism and its development during the pandemic. A case study was conducted to determine the teacher's perception. The research was carried out from June to July 2021. The research participants were 29 teachers who were members of the Malang Regency Biology MGMP. Furthermore, four teachers with different backgrounds (one senior teacher teaching in public schools, one senior teacher teaching in private schools, one junior teacher teaching in public schools, and one junior teacher teaching in private schools) were selected to enter the program. Data collection was carried out through surveys and structured interviews with teachers. The survey data were analysed quantitatively. The interview data were analysed qualitatively using the content analysis method. The results showed that most of the teachers had considered themselves professional teachers. The case study results show that teachers have entered the dimensions of Compliant and Collaborative Professionalism. The results showed that 55% of teachers considered themselves professional, 38% considered themselves unprofessional, and 7% answered maybe. The results of the interviews indicate that teachers already have the awareness to improve their professionalism. [ABSTRACT FROM AUTHOR]

Learning activities during the COVID-19 pandemic are a challenge for education in Indonesia. Education, which was originally able to take place more simply (face-to-face), is now being carried out at home through online/distance learning. Even in some areas, some apply mixed learning models (online & offline). This has an impact on what students receive. In addition to these challenges, literacy demands are one factor that must be addressed at this time. The importance of technological literacy and environmental literacy is the ease of using technology and overcoming the impact of technological developments in this era, one of which is identifying issues related to environmental problems and efforts to overcome them. This study aims to determine the level and relationship between technological literacy and environmental literacy of class XI SMAN 1 Batu during the COVID-19 pandemic. This research is survey research with a correlational design. The sample used in this study amounted to 105 students from class XI, with the sampling technique purposive random sampling. The instrument used was a technological literacy test sheet adapted from Greenstein (2012) and an environmental literacy test adapted from MSELS (2011). The results showed that the average technological literacy score was 144.8 in the high category (Proficient), and the average environmental literacy of class XI students of SMAN 1 Batu was 274.9 in the medium category. The results of the Pearson correlation analysis obtained a significance value of p <0.05 (related). [ABSTRACT FROM AUTHOR]

With the onset of the COVID-19 pandemic throughout the world, it is crucial to maintain the body's immunity so that it does not get infected. Of the many ways to preserve the body's immunity, exercise and consuming nutrient-rich foods and drinks are two examples. Specifically, vitamin D is one of the nutrients that might boost the immune system. The research methodology used an analytic observational design with a cross-sectional study design, which employed a survey approach to determine the description of vitamin D intake, sun exposure, and the immune system in college students. Research subjects were selected utilizing the total sampling method with a population of 93 college students. Vitamin D intake data were obtained using a 1x24-hour food recall and entered into the NutriSurvey application. Data regarding sun exposure were utilized from the Sunshine Exposure Questionnaire (SEQ), and the immune system assessment was conducted using the Immune Status Questionnaire (ISQ). The results revealed that the vitamin D intake in college students in the less category was 98.8%, and 1.2% of college students were in the sufficient category. Sun exposure of college students in the low category was 20.2%, the moderate category was 40.4%, and the high category was 39.3%. In addition, college students with a normal immune system were 75.3%, and those with a decreased immune system were 24.7%. In conclusion, only 1.2% of college students had sufficient vitamin D intake, while 98.8% were insufficient. Sun exposure to college students in the high category was 39.3%, 40.4% in the low category, and 20.2% in the low category. College students with a normal immune system comprised 24.7%, less than those with a decreased immune system of 75.3%. [ABSTRACT FROM AUTHOR]

This research aims to identify the impact of the Covid-19 pandemic on dentist profession students. Respondents in the study included 141 students. The sample population was dental professional students of the 2019 and 2020 batches at Yogyakarta Muhammadiyah University. The research generated the data in the form of student attitudes, knowledge and e-learning towards dentist profession students during the Covid-19 pandemic. This type of research is descriptive observational. Data analysis was descriptive. The results of the attitude of dentistry students towards Covid-19 showed that the majority of students experienced a change in attitude toward learning adjustments during the Covid-19 pandemic. Dentist profession students had a good understanding of knowledge and attitudes in using e-learning. The positive impact on dental students was that students became more self-aware of Covid-19 and understood the use of e-learning. The negative impact experienced by students was a loss of motivation to learn and decreased physical, mental, intellectual, social, and clinical well-being. Implementing dental students professional-level learning had positive and negative impacts. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, recognition of oral pathognomonic lesions in COVID-19 patients is urgently needed. Considering its high morbidity, minimising contact as much as possible is of the utmost importance. Therefore, this study needs the dentistry 4.0 technologies. This includes digital medical records using the Hospital Management Information System (HIMS) application on hospitalized patients through televisite. This study was to describe oral lesions of moderate on hospitalized COVID-19 patients at Dr. Ramelan Naval Central Hospital (RSPAL) Surabaya from August 2020 to July 2021. A descriptive study was conducted between August 2020 and July 2021 on COVID-19 patients hospitalized at RSPAL Surabaya, East Java, Indonesia. Patients were examined by oral medicine specialists using a televisite or in person and were treated for oral health care. All information was recorded electronically in an integrated HIMS. To analyse the data, it was necessary to use a data processing system, namely MS. Excel, which was presented as a table. The results showed that there were three common types of oral lesions, in the form of oral candidiasis at 29.5%, followed by stomatitis and related lesions at 16%, then Cheilitis at 11.3%. There are no typical (pathognomonic) lesions for hospitalized patients with COVID-19 at RSPAL Surabaya. [ABSTRACT FROM AUTHOR]

Aerosols, droplets, and splatters are generated throughout dental treatment. New research has found that the viability of SARS-CoV-2 virus indicates infectious aerosols can persist for several hours and on surfaces for 2 days. The aim of this study was to determine whether there is aerosol contamination and splatters on dentists and their work environment after dental treatment performed using blacklight visualization. This research design is descriptive analytic with observational method conducted at UMY Dental Hospital. The samples of this study were 80 dental procedures. Observations were made before, during, and after dental treatment. The authors ensured there was no contamination before the procedures and the contamination after the procedures were thoroughly cleaned, and there was no contamination remained before other patients arrived. Contamination discovered on participant's facial protective barrier was on the inner corner of the eye (62.9%). Chest (7.5%), abdomen (7.5%), right upper limb (7.5%), left upper limb (1.25%), right lower limb (1.25%), left lower limb (1.25%). Contamination of non-surgical gown A (24%), B (35%), C (13%), D (0%), dentist chair (0%), separator (35%), handpiece (66%), saliva ejector (90%), three-way syringe (60%), bowl rinse (100%), dental chair (5%), tray (51%), dental light (60%), foot control (19%), cuspidor unit (35%). The most contamination on the face was at the right inner corner, chest, abdomen, right upper limb, both sleeves of medical gown, dental unit on rinse bowl. Dentists have a high risk of exposure to Covid-19 from aerosols and splatters contamination on the face. [ABSTRACT FROM AUTHOR]

There has been a fast spread of the coronavirus disease 2019 (COVID-2019) over the globe, and vaccination is the most efficient strategy to combat this disease. More than ten COVID-19 vaccines have been approved internationally, but only five have been used in Malaysia. According to the Director-General of Health Malaysia, Tan Sri Dr Noor Hisham Abdullah, the government aimed to achieve herd immunity for COVID19 by 2021. To achieve herd immunity, at least 80% of the total population in Malaysia, which is approximately 26.2 million people, needed to be vaccinated. Program Immunisasi COVID-19 Kebangsaan (PICK) has started its first implementation on 18th March 2021. Therefore, this study used a simple Runge-Kutta 4th Order method to predict when Malaysia would achieve the herd immunity of COVID19 disease. With few assumptions, the logistic growth model was used to represent the vaccinated population in Malaysia. It was then solved using Runge-Kutta order 4 (RK4) in Excel and MATLAB (curve fitting tool). This numerical exercise showed that approximately 24.23 million people would receive COVID-19 vaccination by the end of 2021. In comparing this result, a Matlab using curve fitting tool was also used to predict the number of vaccinated people based on the current vaccination data from CovidNow with only 26 million vaccinated people. The result showed that Malaysia failed to achieve its targeted plan to achieve herd immunity for COVID19 b y 2021. To conclude, the government should ramp up its PICK program and revise its current SOP to curb this COVID-19 disease spread. [ABSTRACT FROM AUTHOR]

The deadly pandemic known as COVID-19 has been responsible for the deaths of hundreds of thousands of people across the globe and has impacted millions. Social isolation has been shown to be an effective measure in preventing the further development of the disease. But it has been brought to our attention that the required procedure is not being followed. As a result, an efficient system has been created for the monitoring public spaces to impose social distancing, particularly for the elimination of the risk of infection with the Corona virus by keeping the minimum recommended distance between persons. The method of detection of objects also known as "You Only Look Once" is used by the system in order to identify the people are present in the scenario as well as the distances that separate each individual from the others. The persons who are standing in too close a proximity to one another is then numbered and marked with the use of audiovisual cues, and the result of this process is sent to the employees who are monitoring the situation. After that, this information is maintained so that it may be utilised to make forecasts about future infractions. [ABSTRACT FROM AUTHOR]

Examining Students' Opinions about NDUM e-Learning during COVID-19 is a study to improve the NDUM e-Learning system based on Sentiment Analysis approach. Firstly, surveys are distributed among the students to get feedback related to NDUM e-Learning. From the feedback, useful data can be collected for data analytic process. CRISP-DM framework and Opinion Mining architecture is used for this study. Next, Sentiment Analysis is implemented to classify the student's feedback into "positive" and "negative" sentiment. Further, two machine learning algorithms (i.e. Decision Tree and SVM) are used to construct the classifier model. Finally, results are displayed in graphical form to illustrate findings of the study. The result provides an overview of the level of satisfaction, suitability, system improvement, suggestions and the overall impact of the use of NDUM E-Learning during the pandemic. first, second, and third level headings (first level heading) [ABSTRACT FROM AUTHOR]

Depression is a mental health disorder that affects a significant portion of the population. According to recent statistics, an estimated 3.8% of the population experiences depression, including 5% of adults. The traditional methods of detecting depression, such as face-to-face interviews, have limitations and are not always effective. However, social media sentiment analysis has the potential to identify people at risk of depression. In this essay, we will discuss the prevalence of depression in society, the limitations of traditional methods for detecting depression, the potential of social media for depression detection, the challenges of analyzing social media sentiment for depression detection, and the effectiveness of social media sentiment analysis for depression detection. [ABSTRACT FROM AUTHOR]

The present study is about the detailed analysis of the pandemic Corona Virus 2019 which has rocked the entire world with a maximum impact with its structure, its appearance and nomenclature, Clinical presentation and transmission, diagnostic technique. It's a respiratory illness caused by the virus SARS-CoV2 (Severe Acute Respiratory Syndrome). It's a syndrome is different from other virus syndromes as this might act as Symptomatic also as Asymptomatic. The common symptoms would be cold, fever, cough, sneezing, running nose, breathing issues, Fatigue, etc. The paper may be a vivid picture on the COVID 19 cases in Tamilnadu which is within the Southern part of India and therefore the treatments like Ventilator, Plasma, etc and therefore the remedy offered to the patients like Naturopathy, Ayurvedic, Siddha, Unani, Homeopathy, etc,.for better recovery and immunity to fight against the virus. It analyses the detailed reports and statistics during a regression form with reference to daily new death rate and total death rate with the assistance of statistical tools of the general rectilinear regression equation. the entire confirmed cases and daily new confirmed cases are plotted using Normal P-P plot of regression Standardized Residual. The Pearson correlation value is 0.837 which features a strong direct correlation between active cases and total recoveries. [ABSTRACT FROM AUTHOR]

The goal of the study was to find out how people's eating habits affected their weight in cities and small towns during the Novel Covid-19 pandemic. Methods and Materials: A total of 454 people were asked questions and evaluated based on things like what they ate and how many calories they ate. Chi-square analysis from SPSS software was used to find out how people's eating habits affected their diets in both cities and villages in Chennai and Kanchipuram. The size of the sample was worked out by keeping G-power at 80%, =0.05, and a confidence interval of 95%. Results: People in the pre-covid community who answered the survey kept their ideal body weight (48.46%) because they ate on a schedule because of how they lived. However, most of this group said they had gained weight (47.36%) during the pandemic. The Chi-square results for urban and rural communities with three determining factors are 16.316 and 14.347, and a statistically significant value of P0.001;P=0.05 was found. Conclusion: Based on innovative analysis, the results showed that both men and women had more erratic eating habits after the pandemic (Post Pandemic) than they did before the pandemic. This led to bad eating habits, which led to unhealthy weight changes and obesity among the respondents. [ABSTRACT FROM AUTHOR]