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The Covid-19 outbreak caused by the coronavirus has continued since December 2019 until now. This paper aims to describe the results of chest thoracic radiology examinations in infected patients. This research is descriptive retrospective using case reports. Secondary data in the form of 12 chest X-ray imaging results of suspected Covid-19 patients at the Lung Hospital dr. Ario Wirawan Salatiga during the period May to September 2020. Data analysis used qualitative descriptive. The results of this study found air space opacities of GGO consolidation with the most dominant bilateral, peripheral, and inferior zones. A radiological examination can confirm the diagnosis of Covid-19 by performing a serial chest X-ray. [ABSTRACT FROM AUTHOR]

COVID-19 is annunciated by the World Health Organization (WHO) officially as a pandemic in January 2020. The pandemic has reset all human associations globally. In this paper, we investigate the impact of festivity on the spread of COVID-19 before and after the Eid al-Fitr celebration in Malaysia. In order to determine the relationship between the studied variables (confirmed, recovered and death cases), the Pearson correlation method was applied. This study aims to determine the relationship between the variables studies before and after Eid al-Fitr in Malaysia. The data set was collected during Movement Control Order (MCO) for 30 days before and after Eid al-Fitr for 2020 and 2021, respectively. The data was obtained from the Malaysian Info Center specifically for COVID-19 under the Malaysia Ministry of Health (MOH). This study is restricted to the period under review and to infer whether COVID-19 spread faster during the festival period or otherwise. The results showed that the confirmed cases were positively associated with recovered cases (r = 0.165) before Eid in 2020, meanwhile, there is a negative relationship between the mentioned variables (r = -0.196) after Eid in 2020. Additionally, there is a positive relationship between confirmed and death cases before Eid in 2020 with r = 0.149. The results also revealed that for new confirmed and death cases after Eid in 2020 is r = -0.170. However, the correlation value of the mentioned variables before Eid in 2021 is 0.871, while the correlation value after Eid in 2021 is 0.233, respectively. Moreover, for confirmed and death cases before Eid is r = 0.790 and after Eid is r = 0.603 in 2021. This study concludes that in controlling the spread of COVID-19 in Malaysia, the strict Movement Control Order (MCO) during the festive (Eid al-Fitr) period gives a positive impact for the period under investigation. [ABSTRACT FROM AUTHOR]

Modeling infectious disease spread using a multi-state model with semi-Markov assumptions is used to determine the optimal sojourn time distribution between the Exponentiated Weibull distribution, the Weibull distribution, and the Exponential distribution or a combination of the three distributions. This paper uses data from 679 respondents infected with COVID-19 whose transition will be seen from March 1, 2020, to July 31, 2020, from the Provincial Health Office of the Special Region of Yogyakarta, Indonesia. The Exponentiated Weibull distribution has three parameters: if the value θ=1 is a Weibull distribution and if the value θ=α=1 is an Exponential distribution. Based on the data, the COVID-19 modeling with four states, namely dead, recovered, infected, and susceptible, is most suitable using the Weibull distribution and the Exponential distribution. Sojourn time in each state tends to be consistent except in the susceptible state at the beginning of COVID-19's spread because there are still few cases. The Weibull distribution generates a dynamic probability with a faster fall rate and a minor variance under the semi-Markov model. It is discovered in this work that in a multi-state modeling series, it is possible to use a mixture of more than one distribution for a person's sojourn time in a given state. [ABSTRACT FROM AUTHOR]

This article examines online test monitoring technology, which has been under public attention due to school lockdowns during the COVID-19 pandemic, which has increased the demand for online courses. Cheating on educational assessments is a worldwide issue; it happens in online and face-to-face courses, and it is prevalent among students taking unsupervised online examinations. Several online proctoring tools have emerged in the market, providing solutions to some key challenges. Some of these online proctoring tools use Auto proctoring systems. With the sudden condition like Covid 19, the online proctoring tool has not been tested on a large scale for the conditions in Indonesian vocational high schools. The service fee and technical requirements are included in the trial in question. This paper describes one of the first attempts to evaluate the selection of this tool properly and makes recommendations for secondary schools in Indonesia. This investigation, carried out at the Sragi Vocational High School, was divided into several phases, beginning with a literature review and ending with a pilot test conducted by a group of experts and students. The elimination of tools in each phase is based on the "survival of the fittest" approach, with each phase building on the previous phase's achievements and results. It has been shown that Auto Proctoring on Unsupervised Exams has a favourable impact on teacher assessment. [ABSTRACT FROM AUTHOR]

Indonesian society spends more than two hours in average per day using smartphone. Covid-19 pandemic increases its duration. Continued smartphone use may affect health. It is related to blue light radiation exposure produced by smartphone Light Emitting Diode (LED) screens. Although it looks like white light, the light released by LED has a wavelength that belongs to the category of blue light. Two common proposals for reducing the exposure are diminish unnecessary high-intensity light at night and attenuate the short wavelength spectrum components. However, still many users who are unaware that their smartphone has a blue light filter feature. This paper studies built-in blue light filter uses for reducing LED based smartphone screen light intensity. Visually, when the filter is activated, the screen will appear yellowish. Screen light intensities were measured using lux meter, either when filter enabled or disabled. From reduction calculation results, the filter gives up to 39% reduction, depends on screen and filter technology. Resumed from studies, blue light filtering can be beneficial in terms of increase sleep quality, maintain good academic performance and keep eye health. [ABSTRACT FROM AUTHOR]

COVID-19 pandemic causes devastating impacts globally, including Surabaya. One of the significant impacts is that the increasing number of death cases, forcing every activity to comply with the health protocol for people safety. DISPENDUKCAPIL Surabaya (City Council for Civil Registration) faces the condition of increasing demand for the death certificate while the health protocol is obliged. To overcome this condition, DISPENDUKCAPIL transforms their service system from KLAMPID to KLAMPID COVID and the latest one into KLAMPID ONLINE. These transformations intend to reduce the crowd and direct human contact by shifting the activity into online activity. These transformations are proven in reducing transportation and human contact, however, increasing electricity and internet consumption. This study tries to assess the environmental impact change from each transformation. The SimaPro software calculation results for KLAMPID, KLAMPID COVID-offline submission, KLAMPID COVID-online submission, KLAMPID ONLINE-offline submission, and KLAMPID ONLINE-online submission generate 77.67 mPt, 169.31 mPt, 153.69 mPt, 61.74 mPt, and 54.53 mPt of environmental impact. It shows that there's an environmental impact jump during the KLAMPID COVID system because of the COVID-19 pandemic even though there is a reduction in transportation and paper use. [ABSTRACT FROM AUTHOR]

The potential of solar energy in Indonesia has become the main priority of the government to put some essential actions. As the regulations have been declared, the activities to explore solar energy to become large-scale photovoltaic (PV) power plants and small-scale rooftop PV systems. This paper is reviewing the current condition of electricity in Indonesia, the development of PV power plant including rooftop PV system, the roles and regulation that take places, and the Covid-19 impact towards the PV current development and several issues that following it. The solutions to overcome the pandemic has been thoroughly set by the government to achieve the target of 6.5 GW installed PV by the 2025. [ABSTRACT FROM AUTHOR]

Industrial Revolution 4.0 demands all parties, fostering efficiency and effectivity in their activities and administration through automation and digitation in processing and storing data based on their real activities. Ibnu Hajar Integrated Islamic School has to adopt cloud computing technology in teaching-learning and administrative activities which is recently conducted manually based on paper and teaching-learning processes conducted classically. One of the improvement efforts of problem-solving is starting the development of the Application of the E-Billboard and Presence Record System. In the process application development is based on the Design Thinking Processes, which is involved in understanding, observation, a point of view, creating/ideating, prototype, and testing. The implementation of such processes has resulted in the application and implementation of E-Billboard that has replaced conventional information board and online student and employees present system in Ibnu Hajar IIS Balikpapan. Employees Presence recording can be done through the QR code scanning process which is displayed in E-Billboard using their smartphones without touching the media of E-Billboard, So that can avoid queue and crowds. The advantages of such systems can avoid the spreading of COVID-19. [ABSTRACT FROM AUTHOR]

The global interest towards Open and Distance Learning (ODL) in higher education landscape has increased tremendously during the period of COVID-19 pandemic. Institute of higher learning is in high alert into making sure the curriculum delivery of all its program are uninterrupted to sustain student enrolment, its key core business. The top management of higher learning institution is forced to identify the right approach to get pass through this new normal of delivery. The real challenge now is to find the right balance between preparing the right skillsets among lecturers with the most suitable online learning avenues based on the internet-capability demographic of the remote students. This paper presents the strategic avenues for ODL management that was executed at UiTM Pulau Pinang during the COVID-19 pandemic. The strategic selection-methodology of the ODL Avenue based on the related dominant factors are analyzed and discussed. Stakeholders feedbacks function as the corrective learning input are presented to prove that flexibility in avenue selection must be offered to make sure every student is engaged so that the institute of higher education can sustain its role. Recommendation are made to improve the ODL avenue selection process by predicting future dominant factor in online learning landscape. [ABSTRACT FROM AUTHOR]

Investing in the stock market involves inevitable risk, especially due to the Coronavirus disease (Covid 19) and regional quarantine (lockdown) policies. Experiencing pandemic conditions, some investors might be worried and sold their stocks. Any action would make some loss or miss potential significant gain. Even though time the market is considered a hard and complicated process, understanding the risk can be one way to quantitatively measure the risk. In this paper, the risk is quantified using Monte Carlo simulation by considering Covid 19 outbreak where the expected returns and the highest values were observed. Furthermore, Analyzing Process use data from three different coal mining companies in Indonesia stock exchange. As a result, the three stocks presented which stock was the most, moderate, and least risky. [ABSTRACT FROM AUTHOR]

The Russian market of transport and logistics infrastructure developed rather slowly in 2019. By the way, there was nowhere to expect breakthrough indicators – the growth of the world economy is slowing down, and therefore the decline trends are inherent in many industries around the world. Delivery volumes gradually gained momentum, but in early 2020 there was a crisis – the COVID-19 pandemic, which swept the whole world and changed the lives of not only millions of people, but also the situation in the international and regional markets. The closure of borders between countries and the introduction of a self-isolation regime has led to a significant reduction in the volume of production capacities. The COVID-19 pandemic, having disrupted the established ties between producers and consumers around the world, has made serious adjustments to the business processes of transport and logistics organizations. The paper analyzes the features of the formation and functioning of logistics chains for Russia and the world. Global trends in the development of transport and logistics infrastructure in the modern conditions of transformation of economic relations were identified. [ABSTRACT FROM AUTHOR]

The global spread of the Covid-19 has made a great impact on all the spheres of our life, including the entire educational system. The pandemic has revealed vulnerabilities of distant learning on the one hand, but it has also showed extraordinary human resourcefulness and potential on the other. In this research, the circumstances, and basic challenges of coronavirus on the educational system have been analyzed, possible solutions of reshaping the educational system in the Post-pandemic Era are being proposed. By taking Chelyabinsk Institute of Railway Transport — a branch of the Federal State Autonomous Educational Institution of Higher Education Ural State University of Railway Transport (CHIRT, USURT) as an example, based on the case-study analysis, it is found that the reasons behind such impact include declines in employment, slowed globalization, lack of social competence. To help the higher educational institutions get through difficulties amid pandemic and to provide sustainable development of educational process, several possible strategies are being proposed in this paper. [ABSTRACT FROM AUTHOR]

In this era of COVID-19 pandemic; the lives of human beings are at very high risk. All the countries throughout the world have been facing this pandemic since the start of year 2020 and yet there is no particular vaccine discovered for this deadly virus. And the only way for an individual to protect themselves from this virus is to take all the necessary precautions and follow the norms set by the government. We must start protecting ourselves through simple precautions such as using masks, sanitizing, and by keeping a regular check over our health conditions and by following social distancing norms. As it has been more than 11 months we have been following lock down norms set by government but yet there is a high spike in number of cases and the economical state of the country as well as the individual's is declining. So it's time to get back to our professional lives. In this paper we proposed a smart entrance system to check the temperature of an individual, and to sanitize before getting into accomplish their task. This proposed system will helps humankind in this pandemic stage to continue our journey of personal and professional lives along with COVID-19. It ensures if an individual is following all the required precautions while using public resources for the safety of the community and also reduce the risk of the health checkers getting affected with the virus; which in turn might save many life's. [ABSTRACT FROM AUTHOR]

The major causes of disasters in the Philippines are typhoons and floods, and the Cagayan Valley Region is no exception. With this, preemptive evacuation are important measures for community preparedness. It is recognized, however, that it is more challenging to formulate actions in light of the Covid-19 pandemic. This paper proposes the development of project ODeSSEE: the Optimization of Decision Support System for Effective E-Governance. This system gathers different natured data from multiple source agencies. Data were investigated, processed, and synthesized for information to aid responders for disaster preparedness through evacuation planning. It displays significant maps and analytics that report information on both the flood susceptibility and Covid-19 status of barangays. These are deemed pertinent to address evacuation planning while considering the threat of the pandemic. Validations were made through cross-referencing datasets, R-squared value for fit of regression analysis and RMSE for predictive models of time-series data. [ABSTRACT FROM AUTHOR]

After Covid-19, there will be more pressure on companies and workers who support running it. Some researchers predict that the supply chain during the Covid-19 will encourage producers to invest in an enterprise resource planning (ERP) system, either as a new purchase or an upgrade to an existing system. This paper aims to determine whether the implementation of the enterprise resource planning (ERP) system that has been running has met company management's expectations by choosing the right evaluation model and developing relevant and measurable aspects to support the goals of success in implementing the ERP system. The research and development results of this measurement method can be used as a basis for companies to be used as an evaluation method for the development and improvement of the quality of ERP systems in the future. [ABSTRACT FROM AUTHOR]

As publicly known, the existence of COVID has affected all daily activities of our society and it has caused the adversity in hotel sector as well. Therefore Grand Edge Hotel can be appropriate object of research because its building has an east-west orientation. This paper has two research questions; First, how bad is the decrease of occupancy and energy occurred at four-star hotel amidst pandemic since 2020? Second, is there any effect by the pattern of rooms at the hotel having an east-west building orientation on guest profile amidst pandemic? Method of this research is the SPSS related to occupancy profile, consumption of energy and pattern of rooms at four-star Grand Edge Hotel Semarang. Pursuant to the result of analysis, it can be concluded that the decrease of hotel occupancy was significant for the consumption of energy amidst pandemic. Whereas the guest profile does not have significant effect on the room orientation, it means that the rooms on East side are not more electable than the rooms on West side by a ratio 38% to 62%. One of the considerations is the optimization of morning sunlight can be performed directly by using the swimming pool area in the rooftop. [ABSTRACT FROM AUTHOR]

Clean water is one type of water-based resource that is of good quality and commonly used by humans for consumption or in carrying out their daily activities, including sanitation. The arrival of COVID-19 has increase water usage as hand washing is a must. However, according to the World Health Organization (WHO), several localities face higher infection risks due to water supply shortages resulted from the increased demand for treated water. Having a contingency plan to facilitate that change can reduce the probability of water supply shortages. However, existing literature lacks detailed insights on water usage changes during a pandemic and pandemic response model. Response plans that tackle changing water demands during a pandemic, using COVID-19 as a case study, are compelling. Hence, this paper aims to determine the impact of COVID-19 on treated water supply and demand in Pahang. The results reveal that the lockdown during COVID-19 has increased domestic water demand and decreased demand for non-domestic (i.e., commercial, industrial, and government building). The net effect of these changes varies from place to place, depending on the relative proportion of domestic and non-domestic water usage across the major economic sectors. The findings are helpful for future water management strategy plans in the study area. [ABSTRACT FROM AUTHOR]

As of April 30, Vietnam has a total of 270 confirmed cases of the SARS-CoV-2 virus and no death, numbers that are significantly low compared to other neighboring countries. Besides, with no new cases reported in the past few days, and 222 cases have recovered. So far, Vietnam, which borders with China, where the COVID-19 originated, has done an excellent job in fighting the outbreak with limited resources compared to wealthy Western countries. In order to prevent further spread, Vietnamese authorities have enforced social distancing, many restaurants and businesses have shuttered, tourists have left, and many residents are out of work. As a result, the Vietnam economy and residents have been primarily affected. In this paper, the author will review how the Vietnamese Government combat the COVID-19 pandemic successfully, manage socio-economic impact as well as support poor people and workers. Lastly, the author will provide recommendations to Vietnam's Government to reduce the impact of coronavirus in tourist field. [ABSTRACT FROM AUTHOR]

Time series forecasting is a decisive step in data modeling and a significant area in machine learning. This paper presents Long short-term memory (LSTM) network, a deep learning neural network for predicting Covid-19 cases in India. The neural network models are trained and tested with Covid-19 case data sets obtained from PRS Legislative Research database. Further, the parameter optimization is carried out for choosing the optimal network. The parameters considered for evaluating the performance of LSTM network are RMSE, number of epochs, accuracy and loss. The results are compared with various recurrent neural network models and autoregressive model. The results revealed an improved accuracy of 92.8% for LSTM network in predicting the transmission of Covid-19 in India. [ABSTRACT FROM AUTHOR]

The situation in the pandemic COVID-19 period has forced the education system to come into a different way of learning. This paper has oriented how to present laboratory workouts through a computer vision training kit to overcome distance learning in the pandemic. Thus, students (as the user) can use it anywhere. The environment used is on a Single Board Computer of NVIDIA Jetson Nano. The method is using the waterfall model. The way to access the training kit is to use the camera input on the user camera attached to their device connected through a streaming website. We establish the connection using the Remote Desktop Protocol, and The IoT part of the tool uses Antares Cloud Storage. Thus, the device state in the ESP32 microcontroller could be changed by the computer vision program. The entire process, as a result, can be inspected on another web portal containing the summary of the process on each module. [ABSTRACT FROM AUTHOR]

Portable air purifiers are one of the most sought-after equipment for consumers during the Covid-19 pandemic. Because this equipment can help filter the air from harmful particles, bacteria, and viruses. In addition, the advantages of portable air purifiers can be placed in any position. The ideal portable air purifier position in a room can provide time efficiency in cleaning the air. One method that can be used is Computational Fluid Dynamics. Because this method can provide visualization of flow, pressure contours, and flow rates. The research in this paper will vary the position of the portable air purifier, namely in the position above the floor, in the middle room and the position in the middle room with a maximum fan speed of 1.4482 m/s. The results of the numerical simulation flow visualization show that the position of the air purifier in the middle room is better than the position of the air purifier above the floor in the middle room. In addition, for the volume of flow rate in the inlet area, the position of the air purifier in the middle room gives a greater value when compared to the position of the air purifier above the floor in the middle room. [ABSTRACT FROM AUTHOR]

This study discusses the operational performance of Transjakarta Corridor IX during pandemic. The purpose of this paper is to ensure that the busses can serve the needs of the society. The analysis uses survey data in the morning and evening peak hours. The factors used to analyze the performance of Transjakarta corridor IX are: circulation time, headway, and load factor using parameters from the Direktorat Jenderal Perhubungan Darat (2002) to determine whether the service levels are good or not. The results of the analysis show that the circulation time is classified as good for 2 hours 36 minutes, the dwell time is also classified as good for 4 minutes 24 seconds, the headway is classified as good with a time of between 9 minutes 15 seconds, then the load factor is classified as good with an average of 56.83% but there are significant excess load factor on the second bus on Thursday on the Pluit-Pinang Ranti route, and the level of availability required of 30 busses during circulation time. Then a redesign was made to improve the load factor that did not meet the parameters. The design was made by reducing the accumulated number of passengers by 50% and shortening the headway by 50% so that 19 busses were needed to carry passengers to comply with regulations. [ABSTRACT FROM AUTHOR]

Unmanned Aerial Vehicles (UAVs), referred to as drones, can offer many conveniences for carrying out surveillance activities and surveying road conditions by minimizing human interaction in the field during the Covid 19 pandemic,. So far, road condition surveys are still based on manual field observations,. It requires a long time to take documentation and measure road distress. It could disrupt traffic flow, especially on relatively narrow roads, and surveyor safety on particular roads. In this paper conducted a survey of road conditions during the pandemic using drone. The results showed that a survey of road distress using a drone for 1 km could be carried out in 1 hour by 4 people, requiring 5-8 hours to process data to produce orthophoto products that can be used for identification, inventory, and classification 9 types of road distress in Indonesia research sites. Furthermore, the dimensions of road distress were calculated faster and resulted in accuracy above 97% compared to measurements in the field. [ABSTRACT FROM AUTHOR]

The COVID-19 Pandemic has brought changes in various aspects, particularly in education sector. Consequently, this situation has encouraged society to learn as well as use Artificial Intelligence (AI) technology much further and lead to an era of technologies that are dynamic, adaptive, productive, and at the same time making the world more digitally connected. AI facilitates the existing technology to be more applicable in daily lives by using image recognition which is already being developed. As the field of AI develops, so will the potential to protect the environment. From the land and air to both drinking and ocean water, AI is shaping up to be the key that government, organizations, and individuals can tap to work toward a cleaner planet. Furthermore, Telkom University as one of universities that supports Green Campus concept, will be the case study to be reviewed. This paper focuses on the role of AI in achieving the sustainable environment of Green Campus through Image Recognition to detect another part that is not perceived to be healthy/green in terms of the environment. To sum up, it is proven that AI offers beneficial uses in diverse purposes, notably in underpinning environmental protection effort. [ABSTRACT FROM AUTHOR]

The operation of a university is strongly influenced by the availability of electrical energy. So that currently, electrical energy is one of the absolute and unavoidable basic needs of universities such as Hasanuddin University (Unhas). This is because at Unhas, there are modern learning and practicum facilities, both for the learning process, academic administration needs, and teaching media that generally use electrical energy-based equipment. Prior to the Covid-19 pandemic, Unhas's electricity consumption was relatively high. From 2018 to 2019, the average amount of electrical energy consumption was 14.3 GWh per year. Since entering 2020, the consumption of electrical energy has decreased to an average of 4.3 GWh. The decrease in usage is because at Unhas, there is often a policy of working from home for employees and lecturers, and studying at home for students. The decrease of 4.3 GWh was due to the absence of student activities at Unhas. So that it can be illustrated that the use of electrical energy of 4.3 GWh is an academic administrative activity. This paper aims to deliver an overview of the impact of covid 19 on the decline in electricity consumption at Unhas. [ABSTRACT FROM AUTHOR]

For many years, proper biomedical waste (BMW) management in line with the rules was among the overlooked components of health care. Biomedical waste presents a series of environmental contamination. As a result, it must be treated using extreme caution and disposed of properly. There are a few gaps in the handling of biological generated waste, and the coronavirus epidemic has made it very hard. The virus's quick breakout resulted in a massive increase in the amount of biohazardous matter. The COVID-19 epidemic's devastation has altered global waste generation trends, needing special attention. Sudden variations in trash generation and volume need a dynamic response from authorities. This study highlights the problems that the collection and recycling business faces even after a pandemic, as well as the basic possibility to eliminate current framework faults. The study covers specific situations for handling medical waste, polymeric garbage, and recycling bins, which were all major causes of concerns all through this time period. We also go over successful stakeholder involvement and teamwork.The existence of illness sewage treatment in regular effluent created offers significant dangers and liabilities to hygiene workers. Small metal usage is predicted to recover as a result of rising hygiene concerns, particularly from items used for safety precautions and medication. The research further underlines the significance of creating localized, streamlined supply channels to deal with these kinds of situations in the case of unanticipated devastating catastrophes. Despite presenting unique solutions to existing recycling challenges, the paper also presents numerous crucial recommendations to regulators to enable them to cope with any potential outbreaks in a holistic way. [ABSTRACT FROM AUTHOR]

Health monitoring systems are rapidly growing in recent times, Continuous monitoring of the patients is one of the big challenges for hospitals. Smart systems have been established to track the patient present health status; we focus on monitoring the patient's blood pressure, body temperature, Heart rate. In this project we use Arduino Mega 2560 which is a microcontroller board based on the ATmega2560 comments. In this paper, Embedded C language by using Arduino is used to obtain the sensor values. IOT data cloud is used in this project. IOT is used in healthcare system to track the patients' health condition as a monitoring device. Cloud computing develops as a platform for IoT data storage, processing and analytics because of its simplicity, expandability and affordability. Transmit sensor values to Arduino and it sends to GSM and WIFI module to monitor the parameters of the patients. In this project the notifications of patient's health status are sent to the caretaker and nurse, simultaneously it is updated in webpages also for the doctor's reference. Taking in account, COVID 19 Pandemic is highly infectious and spreadable disease, so to maintain the social distance, this monitoring system is needed. It reduces the need for face-to-face appointments with doctors in hospital. ECG sensor is also used to decide the heart activity of the patients. This project aims for the patients who are in continuous monitoring and bedridden. The GSM and IOT technologies give the architecture for healthcare in this project. [ABSTRACT FROM AUTHOR]

Forecasting is a method used to predict the value of a variable in a future time. One of the forecasting methods that can be used to achieve this aim is fuzzy time series approach. The fuzzy time series is a forecasting method used to predict historical data by forming linguistic values and producing more accurate forecasts. This paper discusses the fuzzy time series to predict the positive case of COVID 19 in Central Sulawesi. The forecasting steps in fuzzy time series are defined by the universe U, which determines the number and length of interval classes, defuzzifying and defining sets Fuzzy on U, performing of Fuzzification on data number of visitors, determine Fuzzy logical relationship (FLR), forming Fuzzy Logical Relationship Group (FLRG), performing defuzzification, and performing the forecast calculations. The results with an accuracy of forecasting value using MAPE is 36.90%. As a result the forecasting using fuzzy time series statisfies the criteria forcasting. The COVID-19 case can vary at any time depending on the efforts of the Central Sulawesi government and public awareness to always maintain cleanliness. Moreover the health protocols should be massively implemented to reduce the virus spread in society. [ABSTRACT FROM AUTHOR]

This paper examines construction technologies in the context of digitalization in the VUCA world, a dynamically changing stressful world that requires a quick response and adequate processing of impressive volumes of information. The restrictions introduced throughout the country in connection with the COVID-19 pandemic are shown, paralyzing the activities of many construction companies and organizations operating in the commercial real estate market. The technologies and models of adaptive management used in the event of problematic, crisis situations have been investigated in modern practice. The use of the technology of the enterprise's potential has been investigated, which makes it possible to develop a model for the development of adaptive management of the construction complex. Popular modern construction technologies are shown; analytical conclusions are drawn. [ABSTRACT FROM AUTHOR]

Lockdown is one of the policies taken by many countries to prevent the spread of covid 19. In contrast to other countries, Indonesia does not adopt a lockdown policy but prefers Restrictions on Community Activities (PKM). Restrictions on community activities such as referring to lockdown but not in full, the existing policies include four restrictions: cessation of the implementation of activities in schools and educational institutions, restrictions on activities at work, restrictions on religious activities, and restrictions in public places. This paper tries to investigate the effect of restrictions on Community Activities on air quality, especially on the concentration of Carbon Monoxide in one city and partially based on core activity. This study measures the column concentration of total Carbon Monoxide (CO) from the Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor satellite. In this study, we analyze the average CO concentration of Semarang City before and during COVID-19 from January 1, 2019, to August 30, 2021. The results show that the policy of restrictions on Community Activities can reduce the value of CO concentration to remain stable at < 30 mol/m2 in core activities with the dominance of local internal transportation within the city (education, settlements, trading center, and industry), while activities with the dominance of transportation outside the city (transportation nodes) produce different things with an average concentration of > 32 mol/m2, but with a downward trend. [ABSTRACT FROM AUTHOR]

In December 2019, the outbreak of Covid-19 does cause a lot of serious issues, fatality, economic crisis, the rise of the unemployment rate, air pollution, and so on. This paper focuses on the impact of Covid-19 that relates to the long-lasting issue of air quality. The scope of this study is focused on the changing of air quality that occurred within the Movement Control Order (MCO) which was launched by the Malaysian government against Covid-19 spreading in Malaysia. Multiple reports suggest during the MCO period, the overall air quality in Malaysia was improved. However, when we just look into the history of air quality index (AQI) value without doing any further analysis, we can see there is no significant difference between the AQI value since the MCO was executed. Therefore, we need to understand how AQI value is obtained and compare available data before MCO is launched to the first three phases of MCO. This paper estimates the impact of MCO towards reduction of moving vehicles which can give impact to air quality in terms of 24-hours PM2.5 concentrations. Air quality index data have been analyzed by developed code using MATLAB. From the investigating and analyzing the data conducted, we found out the impact of MCO on the air quality in Malaysia is positive. [ABSTRACT FROM AUTHOR]

The Indian financial market and global markets experienced volatility due to pandemic. Estimations of volatility helps to measure the performance of the share price of the company. This paper studies about the impact of pandemic on the food processing companies listed in NSE. The objective of the paper is to examine the level of volatility prevailing in the selected food processing companies share returns. The daily returns of the companies are collected from January 1, 2019 to November 27, 2020.the returns of the selected period is considered for this purpose. GARCH model is used to capture the volatility of the returns. Findings reveal that the high volatility is experienced during the Covid period observations. While comparing the returns of the stock, the returns are positive during the Covid period than the Pre-Covid period. Thus reflecting the bounce back from the unprecedented Covid shocks in the market. [ABSTRACT FROM AUTHOR]

Borobudur Temple is a cultural heritage used as a tourist spot. Tourist activities on top of the temple give additional burdens to the temple continuously besides external factors from nature such as wind, temperature changes, weathering, moss growth, and others also contribute to the physical changes of Borobudur Temple. These combined factors can affect the Borobudur Temple wall stability, so it is necessary to monitor the temple wall stability using a robotic total station. This paper discusses the evaluation of Borobudur Temple wall stability by monitoring the points located above the balustrades during the COVID-19 pandemic situation. Tourists are prohibited from entering the temple buildings during the COVID-19 pandemic, so there is no influence of human activities for research related to the temple wall stability. Monitoring in this condition can be used as a comparison with monitoring during the peak season in the future. Each monitoring results in good quality measurement data. The coordinate component graph shows that the points' position displacement vertically is smaller than the horizontal position. Every displacement value in the monitoring point is less than 5 mm, which indicates that the temple walls are in a stable condition. The displacement vector shows that many points are elastically deformed both horizontally and vertically. [ABSTRACT FROM AUTHOR]

This paper examines the creative mathematical abilities of grade 4 to grade 5 primary school students using face-to-face Sundanese ethnomathematics learning, which is limited due to the covid 19 pandemic. This quantitative research uses a quasi-experimental pretest-posttest one-sample test method. This research involved 17 students in grade 4 and 11 students in grade 5. The study results showed the t-test results that Sundanese ethnomathematical learning by using the Endog-Endogan game proved beneficial for students because it could develop mathematical creative thinking skills in fractional number material. The creative thinking ability test found that fluency is higher than flexibility. Traditional games help students easily understand mathematical ideas contextually by involving interesting games in learning fractions activities. [ABSTRACT FROM AUTHOR]

Online learning has been applied all over the world during COVID-19 outbreak. Until today, that kind of learning has been about one and a half year conducted in schools. This paper wanted to reveal how joyful elements had been implemented on online learning during that time. Hence, we can learn some results which would show us how joyful elements should be implemented on online learning. Qualitative-descriptive method was used in this study. A questionnaire, which related to joyful elements on online learning, had been shared to 2nd semester college students of 2 departments (Natural Science and Physics Education) and 3 classes (A, B and C), but only 39 students sent back their answers. The students' answers based on their experience during online learning in this outbreak time. The data was processed and the result consisted of: 1) Jokes and appealing stories were the most effective online learning tactics (as a note, images and videos presentations had almost the same number of voters), 2) Learning in the form of assignments from teachers or lecturers were the most discouraged thing for them, 3) Oral lecturing was the most proper learning method for them, 4) Relaxed feeling because no need to attend formally in real classes was the most thing they liked. Based on the result, it was concluded that on online learning students need teachers' or lecturers' roles greater than when face-to-face learning in order to gain joyful elements during learning. Besides, students actually enjoy their houses as learning classes but hope that independent learning methods implementations (such as assignments) are reduced during learning. [ABSTRACT FROM AUTHOR]

Distance estimation between two or more objects is a crucial task in the computer vision research area. Moreover, in the era of COVID-19, it becomes an urgent issue as it can enable social distance preserved. Distance estimation could be done using stereo vision (stereoscopic photogammetry) but requires more complexity. In this paper, researchers show distance estimation is possible using only monocular vision. We propose a deep-learning based method, Mobilenet Single Shot Detector (MSSD), combined with Camera Calibration to detect objects and estimate the distance between them in the setting of monocular vision. To verify the robustness of the proposed method, we created a dataset video using a monocular camera. The experimental results showed the performance of the proposed method could estimate the distance properly using the recorded dataset. [ABSTRACT FROM AUTHOR]

In the present modern Healthcare system, demands for Home Healthcare services have drastically increased, especially during pandemic outbreaks such as the covid-19 infections. Home Healthcare (HHC) system is meant to provide a flexible method of healthcare services at the patient's home. Since HHC has limited and multi-dimensional resources, its demand is extensively high. As a result, the allocation of resources is one of the most complex and critical tasks for the HHC operational team. The inclusion of dynamic resources in their scheduling and routing plans becomes even more challenging for the HHC team. Hence, we investigate the Dynamic Vehicle routing problem with time window (DVRPTW) using the constraints for adding new patients to the existing route plan based on their preferred timeslots. In order to solve this combinatorial problem, we used Genetic Algorithm (GA) enhanced by Levy Flight (LF) to minimize total travel and idle time and maximize new patient visits in every route plan. In this paper, we evaluated the efficiency of the proposed algorithm by comparing it to the well-known Nearest Neighborhood algorithm, and found that it outperforms well. Thus, by adopting GA along with LF in the HHC organizations can benefit from cost effective and time saving solutions. [ABSTRACT FROM AUTHOR]

The Covid-19 pandemic which has lasted for almost two years has limited public activities in various sectors, including activities in the construction project. Construction consultants as part of the service providers in this field are also affected. This paper aims to analyze the intensity of construction consultant operational risks during the Covid-19 pandemic. The study focused on consulting service providers in Banda Aceh City who were active in carrying out design and supervision services from 2020 to early 2021. The data were obtained from the perceptions of 53 participants who participated in answering questionnaires through the online application Google Form. The questionnaire contains questions related to the potential risk variables that may occur in three consultant operational factors, namely time, cost, and performance factors. The assessment of potential risk is stated in the risk occurrence index. The results of the analysis of all these perceptions indicate that the aspects of performance and cost are risk factors with "very high" occurrence intensity encountered in the consultant's operational activities and then followed by the time factor which appears with "high" intensity. In all study factors, risk events tend to be more dominant in the variables associated with design activities. [ABSTRACT FROM AUTHOR]

Over 60 per cent of pupils in the COVID 19 epidemic created significant disruption in the educational system, and educational institutions across the globe were closed. Essential elements of e-learning during COVID-19 have been technology management, management support, improved student knowledge about the usage of e-learning systems and the need for a high standard of information technology from instructors, students, and institutions. This article aims to find key success elements for E-learning during COVID-19 by utilising the MSP and TOPSIS methods to improve the educational process. The objective of the paper was to identify crucial success factors for e-learning during COVID-19. In COVID-19, 69 E-learning managers were interviewed based on specified evaluation and e-learning methods across various channels. Mixed learning was the best appropriate training method for practical use among the five learning systems. These findings showed the readiness of E-learning to carry out instruction throughout the COVID-19 epidemic, regardless of how exceptional the technology was at a school. [ABSTRACT FROM AUTHOR]

In recent years, mathematical modeling has played a key role in many life applications such as computer science, physics, chemistry, and genetics. Actually, in this paper, our focus is on the classifications and the importance of mathematical programming and its applications in health problems especially the Mathematical Modeling of COVID_19. According to the era of the Corona pandemic, it has been using mathematical equations to employ mathematical programming in epidemics and the mechanism of spreading in urban areas. The solution of the problem is presented in two directions; the first was by graphic representation and the other by using computational software via the Python language. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, the applications of e-learning have become more widespread because of the inability of students to attend schools and universities. Usability techniques are important aspects qualities and success operators for any electronic learning website and, application. However, there is a lot of literature on usability technologies in many areas such as business, financial, and health, but a little about the recent directions of these technologies for modern e-learning. Therefore, this research conducted a systematic review on recent ways of e-learning usability assessment approaches to fill the gap in this topic. The systematic review consists of downloading many articles on usability evaluation techniques that are used to measure e-learning quality from major databases such as Science Direct, Google Scholar, Academia, Scopus, Springer, and Clarivate. Then these articles have been investigated one by one to find which usability evaluation techniques are common, reliable, and their advantages and disadvantages. The study of the systematic literature review showed that the most commonly employed technique for measuring e-learning quality is the testing using a questionnaire in about 80.95% of the papers examined. Furthermore, empirical studies such as experiments, surveys, and case studies account for 66.65 percent of the studies reviewed. I hope this research will serve as a reference for decision-makers in ministries and universities to check the fineness of their e-learning. The current study is used as a reference for researchers and Ph.D. students to overcome drawbacks in current e-learning usability evaluation techniques. [ABSTRACT FROM AUTHOR]

Online examinations and E-learning systems have gained more attention in the educational institutions nowadays due to the spread of the COVID-19 epidemic. Unlike traditional exams, web-based or online examination systems are very useful to prepare an exam, save time and money and provide accurate results. In this paper, new e_Exam system is developed to give us efficient exam in terms of saving time and cost and effort and cheating probability The proposed system, named Web-Bases Examination System (WBES), is implemented by using PHP, MySQL and a little of JavaScript. WBES provides four examinations with a time limit for each one and an ability for the admin to add, edit or delete questions from the exams. WBES has a feature that each client or user will be tested by a different set of questions or different order and that decreases the cases of cheating between users or students. WBES can be accessed from any client in the same local network that the server is connected to. [ABSTRACT FROM AUTHOR]

Understanding public responses to emergencies, including outbreaks of diseases, is necessary and significant. A demonstration of how to separate papers about the virus Covid-19 into different topics using topic modeling techniques in several studies is introduced in this research article. Inthe field of machine learning, topic modeling is a major topic. Though primarily, it is used to build models. It provides a quick and easy way to mine data from unstructured textual data, with samples representing documents.The most extensively utilized subject modeling approaches are Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA). On the other hand, model creation can be tedious and repetitious, requiring costly and methodical sensitivity analyses to determine the ideal collection of model parameters. Moreover, comparing models frequently require time-consuming subjective opinions. The topic models assign a probability to each word in the vocabulary corpus related to one or more themes (LSA, LDA). Several LDA and LSA models with varied degrees of coherence were generated, and the model with the greatest degree of coherence was selected. This experiment demonstrates that LDA outperforms LSA. [ABSTRACT FROM AUTHOR]

Despite the rapid development and spread of Information and Communication Technology (ICT) during the past four decades, which has become a prominent feature of the era, Iraq is still at the bottom of the list of developing countries, especially in the field of technology and communication by all standards. In fact, Iraq lies outside the scope of education quality alongside other six Arab countries. This, however, is attributed to the constant mis-management and lack of knowledge about issues relevant to the modes of technology development. What makes things worse is the outbreak and rapid spread of Covid-19. This, so to speak, has imposed a number of restrictions on education to the extent that the government has resorted to E-Learning. The researchers, however, briefly address the concept of (ICT) as well as the global technological diffusion indicator for the Arab group in which Iraq's position is analysed according to the main and sub-indicators. Moreover, the E-Learning, its advantages and disadvantages, is being brought into focus. To amend all the obstacles, solutions have been proposed in accordance with the general technological indicator. Besides, the research-paper concludes with recommendations and suggestions which will definitely contribute to the attainment of the goal aspired for. [ABSTRACT FROM AUTHOR]

Due to the huge fast spread of Covid-19 around the world, which resulted in the loss of many lives, the maximum level of emergency was triggered all over the world. The best way to reduce COVID-19 infection is to prediction it early based on artificial intelligence (AI). To determine whether the patient has COVID-19 infection or not. An accurate and effective diagnosis system for Covid-19 was proposed in this paper. The diagnostic parameters for right and left lungs, D-dimer, and physiological parameters such as SpO2, temperature, and heart rate were collected from CT scans (three RGB colors) for right and left lungs, D-dimer, and physiological parameters such as SpO2, temperature, and heart rate. The data was collected from 300 patients, with each patient receiving 10 samples; 114 of them were infected with Covid-19, while the remaining 186 were uninfected. For training, testing, and verifying the gathered data, an artificial neural network (ANN) on one hidden layer at 20 nodes-based Backpropagation method was used. For all diagnostic parameters, a total of 30,000 samples were obtained (300 patient x 10 parameters x 10 samples per patient). The 3,000 data samples (300 individuals, 10 samples each) were divided into three datasets: 70% for training ANN (2,100 out of 3,000 samples), 15% for testing ANN (450 out of 3,000 samples), and 15% for validation ANN (450 out of 3,000 samples) (450 out of 3,000 samples). In terms of ANN performance, correlation coefficient, error, mean absolute error (MAE), and histogram, the results of COVID-19 diagnosis based on ANN were studied. The MAE for training, validation, and testing at 20 nodes, respectively, was 0.0012, 0.012, and 0.013, indicating that the ANN achieves good diagnostic accuracy. In training, validation, and testing at 20 nodes, the correlation coefficient (R2) between the actual and estimated value was 0.9999, 0.9996, and 0.9998, respectively. In terms of correlation coefficient and MAE, the suggested technique beat the current state-of-the-art. [ABSTRACT FROM AUTHOR]

Covid-19 Pandemic has negatively impacted several aspects the life of people and businesses. Agribusiness is no exception in receiving impact of the pandemic. For further sustainable development, agribusiness needs to redirect its activities to provide products in line with market demand. The objectives of this paper are to describe the current conditions of agribusiness implementation, and to prescribe what needs to be carried out by and in agribusiness for meeting products, particularly quality foods, that are currently and in futures demanded in people efforts to survive from the attack and sickness of Covid-19 and carry on the living of the people. Data for this study are obtained from secondary and primary sources, capitalizing available data from others and author own research and extension activities, especially in Lombok Island. The study concluded that the implementation of agribusiness system and its subsystems in Lombok Island has not been operating in its full potentials, and therefore some activities are recommended to be done to improve the conditions of the agribusiness itself, as well as to fill in the demand for quality foods for consumers, who are in the needs of protection and curing from diseases caused by Covid-19. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Tourism is one of the most important sectors in Indonesia. However, since the COVID-19 pandemic, tourism industries has declined significantly. Restrictions on mobility and activities in public places affect the tourism sector. One of them can be seen from the hotel room occupancy rate (ROR). ROR in Indonesia experienced a significant decline in mid-2020, since the spread of COVID-19 was confirmed in Indonesia. Until the end of 2020, Indonesia's ROR seems to have increased, but still cannot fully recover as before the pandemic. It's been a year since the first COVID-19 case in Indonesia. Various policies have been implemented by the central and regional governments in dealing with this pandemic. To find out how much ROR has improved in 2021, this paper discusses the analysis of national and provinces level ROR in January 2020-June 2021 from BPS survey and big data. These two data are compared to see how well the ROR generated by big data represents the official ROR from the BPS survey. The result from big data analysis show that majority of provinces have not experienced significant ROR improvements in 2021. The result is in line with ROR from the BPS survey, as well as the demand pattern shown from the google trends data. [ABSTRACT FROM AUTHOR]

COVID-19 pandemic brings a lot of new challenges like never before. Adaptation is a must including in the learning and teaching ecosystem. A sudden switching from in-person learning to distance learning is difficult, especially in Indonesia where distance learning is still uncommon. Hence, a set of proper strategies is required to push the success rate of distance learning. This paper shares our experience in employing the pair programming approach as a part of our distance learning strategy. We applied the approach in two introductory programming courses available to the freshmen. Two grouping methods were applied (random and clustered). Based on both the final grades and the students' opinions, we conclude that pair programming is very effective to help the students reaching the course objectives. However, team commitment was reported as the biggest obstacle. [ABSTRACT FROM AUTHOR]

Corona Virus Disease 2019 (COVID-19) is a new virus that can be contagious and its worst effects can lead to death. COVID-19 first appeared in Wuhan, China until it finally spread throughout the country, one of which is Indonesia. The spread of COVID-19 cases in Indonesia itself is quite rapid until finally the World Health Organization (WHO) designates COVID-19 cases as pandemics. Based on current conditions, this paper discuss about predict positive case data of COVID-19 at five locations in East Java (Malang City, Batu City, Pasuruan Regency, Malang Regency, Pasuruan City) using a space-time model namely Generalized Space-Time Autoregressive (GSTAR). Considering that COVID-19 is very easy to spread not only depending on the time but also the proximity between locations, the GSTAR method is good enough to be used to predict the assumption of parameters between heterogeneous locations. The estimation used is OLS with the location weight of cross-correlation normalization. The results of this study obtained the GSTAR(21)-OLS model is the best model to predict the number of positive cases of COVID-19 in.five locations in East Java by weighting the normalization of cross-correlation based on the smallest RMSE value in data out sample. Forecast results for the next 10 days of positive cases of COVID-19 in.all five locations show not very significant changes. [ABSTRACT FROM AUTHOR]