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Moodle-based Learning Management Systems have been widely used in learning during the Covid-19 pandemic, especially in Indonesia. In this regard, this study aims to identify and describe the implementation of the Whole Language Approach in improving the ability to write simple scientific papers for students at PGRI Yogyakarta University through the Moodle-based Learning Management System. The method in this research is descriptive qualitative with data in the form of descriptions of the results of research implementation supported by observations, interviews, theoretical studies, and relevant research. The results of this study indicate an increase in the ability to write student scientific papers in the experimental class after using the Whole Language Approach through Moodle-based LMS in learning to write. Several aspects that were assessed were structure, systematics, language use, content coherence, and references used. This increase is indicated by the test numbers before and after the use of the Whole Language Approach through the Moodle-based LMS with mean values of 6.5 to 8.8 in the experimental class, and 6.7 to 7.1 in.the control class. This shows that the use of the Whole Language Approach through Moodle-based LMS is proven to improve students' ability to write simple scientific papers. [ABSTRACT FROM AUTHOR]

COVID 19 disease has spread worldwide, disrupting the economy, society, education, and health. It became crucial to understand the transmission curve and identify the best action in combating this highly transmissible epidemic. Epidemiological parameters of the deterministic Susceptible-Infected-Removed (SIR) model are widely used in explaining the characteristics and behavior of the disease spreading. Disease like COVID-19 is highly influenced by the uncontrolled factors of randomness, hence in this paper, the deterministic susceptible-infected-recovered-death (SIRD) model is extended to the stochastic SIRD (SSIRD) model. SSIRD model takes into consideration the noisy behavior of the process which explains the uncontrolled effects of the COVID-19 outbreak. The epidemiological parameter of the model changes throughout the epidemic due to external factors such as enforcement and public obedience to the control measures as well as the changes in healthcare facilities. These parameters need to be estimated. This paper estimates the epidemiological parameters of the SSIRD model using the Markov Chain Monte Carlo (MCMC) method of the Metropolis Hasting algorithm. The COVID-19 data from Malaysia and Indonesia are used and the dynamical behavior of the COVID-19 outbreak in both countries is simulated. The results show the parameter changing due to the uncontrolled factors influencing the trend of the pandemic curve. [ABSTRACT FROM AUTHOR]

The goal of this paper is to investigate students' condition during the first couple months of pandemic since it hit Indonesia. Since the beginning of 2020, the Covid-19 pandemic has imposed the use of technology in teaching and learning process, and nothing can enforce the use of technology in education as powerful as Covid-19 Pandemic. Schools and universities have been closed and the teaching and learning process must be done remotely through online learning to slow down the spread of the virus. Students must learn from home. Teacher has to adapt to using online learning platform during this pandemic. However, the e-learning process are still far from perfection as it still caused many problems for teachers and students as well; therefore, a suitable and appropriate learning environment needed to be created for improving the existing learning environment that is safe and effective for students and teacher during pandemic. This research aims to gain the basic inputs in designing an appropriate classroom/learning environment specifically for teaching during and, hopefully, after pandemic. An online survey is spread to reach more and wider respondents, because we would like to gain as much as possible data from the Z generation. There are as many as 4841 college students in Gorontalo responded to the survey. The Result of this research shows the students' condition on the first couple of months when the pandemic hit Indonesia, especially the province of Gorontalo, that effected the teaching and learning process in our university. The issues and problems surrounding the implementation of online learning as well as the students' life facing the covid-19 pandemic will be presented in more detail in this paper. [ABSTRACT FROM AUTHOR]

The implementation of Community Activities Restrictions Enforcement (PPKM) during the Covid-19 pandemic reduced activities in the transportation sector. This paper presents the measurement of Carbon Monoxide (CO) concentrations during the PPKM in Makassar City, Indonesia. The samples were collected weekly from August to September 2021 from two traffic-heavy roads using Tedlar bags and a vacuum pump and then analyzed using the Non-Dispersive Infrared method (NDIR). Results showed that the average concentrations of CO on the first street in the morning, midday, and afternoon were 826.63±83.34 µg/m3, 685.65±57.43 µg/m3, 861.6±59.79 µg/m3, respectively; and on the second street were 875.46±77.80 µg/m3, 741.80±62.95 µg/m3, 833.04±44.80 µg/m3, respectively. These CO concentrations measured during the PPKM are lower than those measured before the PPKM on the same sites, reported in another paper. The concentrations are also much lower than those of the Air Quality Standard in Makassar, 30,000 µg/m3. This finding implies that similar policies to reduce traffic and pollution, such as car-free-day, should be enacted to improve air quality. [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]

Teaching is an axiomatic activity for a lecturer. The teaching strategies are prepared before the teaching start. It might be a semester before, or even a year before the teaching activity. This will be challenging for EFL lecturer who teach in a vocational higher education that prepares the students with full skills to work in the field (having a real-world skill). Today, a challenge disrupting well-planned teaching strategies is the sudden Corona Virus or Covid-19 pandemic. This virus forces the world activities online to keep distance and stop the spread of the virus, including Indonesia. Luckily, the application of strategies is quite flexible, the lecturer could change it and adjust to the current changing situation [1]. Also, the lecturer usually has a backup plan or plan B to prepare for the unexpected challenges that emerge suddenly in the process of teaching and learning. Thus, this paper attempted to find interesting strategies that lecturers choose to achieve the goals of the vocational higher education, in some classes with field-skill practice goals in a vocational higher education. Specifically, this paper attempted in the English Department, Politeknik Negeri Padang, during the Covid-19 pandemic. [ABSTRACT FROM AUTHOR]

Since study from home policy was introduced as a consequence of the COVID-19 pandemic, academic activities in Indonesia have transformed into electronic learning. However, there is a limited study examining the factors confirming the application of electronic learning by the lecturer during the COVID-19 crisis. To fill the research gaps, this paper scrutinizes the factors that confirmed electronic learning in a time of COVID-19 pandemic using the unified theory of adoption and use of technology (UTAUT) model. Specifically, we inspect confirmatory factor analysis of five dimensions of UTAUT, including performance expectancy, effort expectancy, social influence, facilitating conditions, and adoption of electronic learning. The research performed a survey method using an online questionnaire. Data in this study were collected from a permanent lecturer in Universitas Andalas, Indonesia. Data were processed using structural equation modeling (SEM). A total of 330 respondents participated in this survey. Our findings show that all constructs and items of electronic learning adoption are valid and reliable. From the results, the current study contributes theoretically and practically further elaborated in the light of this paper. [ABSTRACT FROM AUTHOR]

The Indonesian government has taken several policies to break the chain of transmission of the COVID-19 virus infection since the spread of this virus variant was first discovered in March 2020 in Indonesia. One of them is to require everyone to get vaccinated. This national vaccination program has been started since early January 2021 until now and expected to be one of the solutions to control the spread of coronavirus in Indonesia. This paper presents robust k-means to show the cluster of the spread of COVID-19 in Indonesia after the implementation of the vaccine policy for Indonesian citizens. The k-means algorithm is an unsupervised machine learning method. This method is well known in clustering. This is a partition clustering algorithm which is widely used in practice but in general, this method is sensitive to the presence of outliers. The variables considered in this study are the number of deaths, the number of recovered patients and the number of patients. Experimental comparisons are made with the basic k-means and robust k-means algorithm. It seems that for data on May, 2021, the cluster with k=3 in the robust case will provide closer risk levels of the provinces in Indonesia with their risk in reality, namely provinces with high, mid and low-level risk. [ABSTRACT FROM AUTHOR]

Coronavirus Disease (COVID-19) pandemic has emerged as one of the biggest challenge faced by researchers, especially in public health system. Since the virus spread and mutates quickly, strategies are needed so that the public health system doesn't collapse due to overcapacity. Modeling and forecasting accurately the COVID-19 daily new cases is very important to understand and help carry out risk management for the outbreak control. To obtain the estimation of the Indonesian daily cases of COVID-19 based on daily confirmed cases, we present a comparative study between three deep learning methods in this paper: Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Convolutional Long Short-Term Memory (Conv-LSTM). The data used is daily confirmed cases from September 1st to September 7th, 2021. The result is Conv-LSTM model produces better performance than other methods. Here we also provide 7 day out-of-sample forecast for daily cases from September 1st to September 7th, 2021 using each model. [ABSTRACT FROM AUTHOR]

The global crisis brought on by COVID-19 is unparalleled. Tourism is one of the many industries that have been made public by the recent COVID-19 epidemic. Indonesia itself was affected by the impact that caused a decrease in both foreign and domestic tourists. Smart tourism through the metaverse concept is one of the proposed solutions to deal with this problem, considering that metaverse has been booming lately, so it can attract the attention of tourists who cannot come directly to the tourist attractions. This paper aims to provide new insights regarding how to improve the Indonesian economy through tourism, so people realize the importance of the metaverse in the future. Moreover, we believe that the future of this metaverse will be very bright because the advantages of technology used in the metaverse are very beneficial for users (Blockchain, Crypto, Non-Fungible Token). [ABSTRACT FROM AUTHOR]

The global Covid-19 pandemic has significantly impacted various sectors in Indonesia. One sector that has a significant impact is the tourism industry, especially amusement parks and theme parks. Not much can be expected to attract visitors during a pandemic with just a regular touring video, even though the amusement park maintenance must still exist. This paper aims to develop an Augmented Reality (AR)-based Dino Park application with Unity and the SCRUM development method. This AR application was created aiming to increase user interest and experience to come to this place, such as virtual touring with AR features, providing a tourist sensation with 3D visuals because it can be moved according to the user's wishes and it is as if they have a virtual guide with information in the form of audio contained in each dinosaur fossil. The results of this study are Based on the results of the user acceptance test, an average of 83% user satisfaction levels with details (85% stated that the application is interactive to use, 83% stated the display is very attractive, 81% of the Dino Park application is very useful for people in in the field of theme park tourism, and 84% state they were satisfied with this application compared to similar applications in terms of features and appearance). [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]

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]

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]

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]

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]

This paper studied the hierarchy of end-of-use options for smartphones to support online learning during COVID-19 pandemic in Indonesia. The EOU options were first studied by reviewing relevant literature about e-waste in Indonesia and then a hierarchy of EOU options was drew up. Finally, integrating the result with the analysis from the literature review on the use of smartphones in online learning during the pandemic, we proposed a new hierarchy that could bridge the challenges in both aspects. As a result, it helps to reduce e-waste from used smartphones and at the same time helps underprivileged students to obtain smartphones for online learning. [ABSTRACT FROM AUTHOR]

The situation and condition of the COVID-19 Pandemic in the world have widely impacted around the globe, forcing Indonesia to urge every individual and organization, including Bapeten as the nuclear regulatory to adapt to bear this situation so that the function of nuclear regulatory continue to be conducted for ensuring the facility safety meets the requirement. Though during the Pandemic, nuclear facilities continue to safely operate with adjustments to comply with the health protocols requirements to prevent the spread of pandemics. Based on a review of nuclear regulatory practices during the Pandemic in several countries, it is necessary to implement a regulatory inspection strategy through the methods and approaches effectively and sufficiently to ensure compliance to the requirements and conditions during the stringent large-scale social restriction (PSBB) period and new normal. During the stringent PSBB period, the strategy was a remote inspection by submitting a Facility Safety Report (LKF) by nuclear facilities. The submitted LKF contains all safety parameters when operating a nuclear facility. Meanwhile, the new normal (after stringent PSBB) is the hybrid inspection, called the new paradigm inspection. The implementation of this strategy has been conducted effectively and efficiently with a positive response from the nuclear facility license holders. In this paper, it can be concluded that the inspection strategy conducted out during the stringent PSBB period and the new normal period has been implemented well enough to ensure the facility's safety. [ABSTRACT FROM AUTHOR]

The COVID-19's rapidly spread in Indonesia is a serious concern for government. Various government policies, such as large-scale social restrictions, which is called as PSBB, and the imposing restrictions on community activities, be called as PPKM, have been applied to slow the spread of COVID-19. These policies were supposed to control people activities in many areas, especially that will invite the crowd happening. In this paper, the control charts be explored to obtain the overview of the daily new COVID-19 cases number, which is considered as a production process. The proportion of positive COVID-19 cases be observed and monitored using P-control chart. The data used is from the specimen COVID-19 test in DKI Jakarta Province, since April 2020 to January 2021. It is obtained that the process of daily new COVID-19 cases number has not been statistically controlled. It is detected some mean shifts of proportion in some point of times. Several findings indicate an upward trend, suggesting that the proportion of positive cases COVID-19 is rising. The public's conduct in Jakarta has served as a model for the government in designing policies to tackle the spread of Covid-19. However, due to the high mobility of Jakarta residents and its lack of consistency in the region, the COVID-19 process still remained out of control. [ABSTRACT FROM AUTHOR]

In the digital era, as it is today, accurate information services are needed, coupled with the current state of the COVID-19 pandemic, which certainly makes the economy in a country decline, especially Indonesia. People who are undergoing MSMEs are hampered because of the COVID-19 pandemic. The pandemic has made people change the way they do buy and sell activities online. E-commerce is one of the means or applications for trading via the internet where people can transact to meet their needs. This paper aims to identify the role of E-commerce in helping MSMEs in Indonesia using a systematic literature review method. With this research, researchers hope to identify the role of E-commerce in the national scope, especially in Indonesia. Research to be carried out includes looking for journals about E-commerce in Indonesia, analyzing the development of MSMEs in each of their business fields, reviewing the results of how E-commerce can help MSMEs in Indonesia. [ABSTRACT FROM AUTHOR]

The outbreak of COVID-19 has struck multi-sectoral such as health, education, hospitality industry, transportation, and businesses including Small and Medium Enterprises (SMEs) all around the world. Especially when the lock-down policy was administered to anticipate the increasing number of Covid-19 victims. The mobility regulation applied have turned all people and all sectors into online and social media instead of direct interaction. This paper is intended to describe the role of social media for SMEs in Indonesia during Covid-19. The qualitative research method was conducted by providing questionnaire and interviewing SMEs from three different cities in Indonesia. The data has shown that social media has played important roles for SMEs in maintaining their business during Covid-19. This research presents insightful findings which can be will be helpful for SMEs in maintaining their business during Covid-19. [ABSTRACT FROM AUTHOR]

Conserving agricultural genetic resources (AGR) is one of state commitment to support food security and sustainable agricultural system. The pandemic of COVID-19 forced Indonesia government to issued policies which resulting on significant reduction in operational costs in AGR conservation and limitation of activities. This paper describes the proactive approach taken in IAARD-ICABIOGRAD Gene Bank to maintain the sustainability of AGR conservation during the pandemic situation. Several measures were taken including laying off some contract staff, reducing working hours, delaying plantation schedule, relocation plantation site, and optimizing on seed monitoring. The delay in plantation schedule and relocation of planting site caused of less optimal of yield in soybean and mung bean regeneration and crop failure of some accessions in rice. The lack of resources caused several activities cannot be performed. Delay of seed processing increase seed damage and inadequate rogueing during seed production cause disruption of genetic integrity of rice accessions. The optimization on seed monitoring resulted in the safely regenerated of a total of 112 rice accessions and 149 soybean accessions with very low viability. Adequate support is needed for further gene bank operational to resume the incomplete activities, to set back genetic integrity, and to set better management system. [ABSTRACT FROM AUTHOR]

By far, over the last couple of months, the day-to-day business activity of crude supply and demand in Indonesia has been in the position of barely touching the bottom line, moving disproportionally with the government's long- run strategic plan in providing sufficient energy supply for the consumers. The statistics have revealed the current energy supply realization is different than that of the last year. In brief, the performance of oil and gas export-import has been deeply disturbed since the global pandemic of Covid-19 broke out. This particular paper aims at portraying, from a macro perspective, the intricate nature of the oil and gas phenomenon, having many complexly interrelating variables. The methodology opted in this particular study is the multivariate linear regression to draw the complete picture of the relationship between the global pandemic and its profound impact on the oil and gas trade balance. The value of the originality of this study is to reveal the effect of a global pandemic to the Indonesia Economy at large and also to make suggestions to the policymakers, or other stakeholders in an effort to support the initiative of developing a strategic plan for the long-term sustainability of petroleum energy in Indonesia. [ABSTRACT FROM AUTHOR]

The COVID-19 epidemic has thrown Indonesia's sports calendar into confusion, with many high-profile sporting events rescheduled or postponed for the foreseeable future. Tourism is one of the greatest vital sectors pouring the Thai economy, which can constantly generate great income for Thailand and Indonesia. The number of international tourist arrivals to Thailand in 2018 reached 38.12 million people and Indonesia sport tourism received 250,000 foreign tourists in 2018. Based on an all-encompassing approach, this research has exposed that integrating various strategies for tourism expansion with sound government policies and proactive management practices have led to significant positive outcomes towards mutual success of tourism sectors of Thailand. Additionally, the paper delivers considered policy to drive long-lasting enhancements in tourism sector, exchange rate and service sectors through efficient management and intelligent utilization of resources in tourism sector. The recent shocks in provide and demand within the world aren't because of sudden economic reasons. Indeed, associated with Covid-19 that causes speedily spreading world health issues and life threats round the world coping with the social issues created by Covid-19 pandemic, they ought to not neglect the economic changes created by this pandemic. The government-ordered lockdowns have discontinuous life for billions and within the same time creates economic collapse situation. The foremost vital of those economic changes in developing countries with high fragility is exchange rates caused by sports and tourism industry, as a result of exchange rates will directly have an effect on several economics variables, from inflation to foreign trade, from the balance of payments to interests. Therefore, this analysis calculates the result of COVID-19 to sports and tourism business for affected countries within the worldwide. Thus, this study evaluated the impact tourism performance to detect the economic changes in sports industry. [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]

The COVID-19 pandemic has changed various aspects of human life today, especially in education. It requires all elements of education to adapt and continue learning in the following semester. The application of technology in education improves the ability of teachers to deliver material to students, makes it easier for students to understand the material presented and makes time more effective and efficient. Technology has a significant role in the field of education. The purpose of this study is to provide choices about the effectiveness of learning using telegram, learning technology media devices during the COVID-19 pandemic. This study uses a qualitative method, international articles, and similar sources related to learning solutions during a pandemic using telegram media. Online learning using telegram media is an effective alternative to activate classes even though schools have been closed considering that time and place are at risk during the current pandemic. However, it is essential to evaluate this learning technique according to local conditions considering that the distribution of facilities and the ability of parents to provide different online learning facilities to students in Indonesia is still minimal. [ABSTRACT FROM AUTHOR]

Covid-19 has spread to various countries in the world, including Indonesia. Surabaya becomes one of the big cities in Indonesia where the spread of Covid-19 is very fast, so the number of positive cases of Covid-19 is very large and more than 1000 people die because of this disease until November 2020. Prediction of the number of positive cases of Covid-19 can be used to regulate the availability of facilities in hospitals and make plans and policies to overcome this disease outbreak. Many prediction methods have been found, one of which is the Extreme Learning Machine (ELM). ELM has high training speed and accuracy. However, the performance of ELM depends on the number of neurons. When the number of neurons is not precisely determined, the accuracy of prediction becomes worst. Particle Swarm Optimization (PSO) is used to decide the number of neurons. For this reason, this paper proposes a prediction of the Covid-19 cases in the City of Surabaya using the hybrid of ELM and PSO (ELM-PSO). The experiments show that the comparative performance of the proposed methods with several activation functions in the prediction of the Covid-19 cases in the City of Surabaya. [ABSTRACT FROM AUTHOR]

The covid-19 pandemic has altered the course of the economy all over the world, including Indonesia. Government policy to resort to social restriction and working from home has increased household consumption of energy but reduce the commercial use of energy. Economic growth is greatly affected by the pandemic and had surged to -5.32% during the pandemic but has been increased before the second wave of the pandemic strikes. In the long-term, the economy and electricity consumption are expected to recover. The recent plan to phase out coal from the energy generation sector has provided the pathway for New and Renewable Energy (NRE) in providing more environmentally friendly electricity to support the reduction of greenhouse gas (GHG) emissions. Electricity demand-supply analysis is performed using LEAP and the result demonstrated that full utilization of NRE will reduce GHG emission by more than 700 million metric tons of CO2 equivalent in 2050 and renewable energy mix goal may be achieved in 2050. However, development of smart grid and energy storage should also be developed to compensate the intermittency of wind and solar electricity. Factors such as power generation cost, land requirement, externalities, and grid stability should be carefully studied in order to assure that the electricity produced is affordable and do not pose burden in form of government subsidies. [ABSTRACT FROM AUTHOR]

The COVID-19 is an infectious disease caused by Severe Respiratory Syndrome Coronavirus-2/SARS-CoV-2. In 2020, Indonesia is the second country with the highest COVID-19 pandemic cases in Southeast Asia. Prevention of the spread of COVID-19 is carried out by quarantining infected individuals. The spread of this infectious disease can be represented in a susceptible infected quarantine recovered (SIQR) model. We formulate a SIQR model, apply the model to COVID-19 in Indonesia, determine the pattern of its transmission, and interpret the results of the application of the model. In this paper, the data used from March 2020 to January 2021 were analyzed to obtain the parameter values. Based on the application, the pattern of the spread of COVID-19 in Indonesia during 2020-2025 shows that the number of susceptible, infected, quarantine, and recovered individuals are downward trends. Furthermore, there are still infected individuals in 2025, and this amount can be reduced if the quarantine and self-isolation process is carried out optimally. [ABSTRACT FROM AUTHOR]

Statistics of the past have shown a period of time in which certain e might affect the operable capacity of refineries in Indonesia. Many have pointed out that steps must be taken to ensure the operable level of refinery matches the historical data of refinery operable capacity. In this particular study, the macro perspective of the refinery is discussed particularly in relation to the global pandemic of Covid-19 by taking into account the most recent publicly released data and information from the Central Bureau of Statistics of Indonesia. The methodology used in this paper is the linear and multivariable regression as the tools to observe the relationships between different variables. Furthermore, the complex phenomenon of an indirect relationship between different sets of variables will be technically explained. At the end of the study, the target is to provide an insight into whether or not the conclusion driven from this study will be beneficial to the decision or policymakers. [ABSTRACT FROM AUTHOR]

Ever since the last three years, the government of Indonesia's strategic long-term plan in supplying a "greener- alternative energy" for the I households has shown an increasingly considerable number of houses have opted for the city gas as the primary source of energy. The statistics conducted by the Central Bureau of Statistics of Indonesia have conveyed a strong message to end-users that the city gas will continue to grow that are largely congruent with industry key factors such as the more economical natural gas price, the availability of city gas network distribution and the emerging of the property sector. Throughout this particular study, the multivariate regression method has been intensively used to model the complexity of indirectly related predictors to hit the target of finding the desired level of city gas growth. This paper further discusses, the unforeseen variable of the global pandemic Covid-19 that will presumably have a profound impact on the macro aspect of city gas development. In the end, this study should harvest a new idea, especially for the policymaker or executives to draw a new draft leading up to the new policy related to optimize the development of the city gas sector. [ABSTRACT FROM AUTHOR]

The Coronavirus Disease 2019 (COVID-19) pandemic has become one of the biggest challenge in research community, especially in public health system. One of the challenges that encountered is how to manage the public health system so that it does not collapse because of overcapacity, while maintaining the testing, tracing, and treatment to slowing down the spread of the virus and decreasing the number of deaths caused by COVID-19. Therefore, a predictive model that can estimate and forecast the new daily cases and daily deaths of COVID-19 are important to give recommendations to policy maker about how to control – and eventually – prevent the spread. In this paper, we present a comparative study between Long short-term memory (LSTM), Bidirectional LSTM (Bi-LSTM), and Deep Bidirectional LSTM (DBi-LSTM) to forecast the number of COVID-19 daily cases and daily deaths in Indonesia, based on daily confirmed cases and daily death cases from August 26th, 2020 to August 25th, 2021. The result is DBi-LSTM performs better than LSTM and Bi-LSTM in both daily cases and daily deaths datasets, in terms of training process and lower error prediction value based on MAE and RMSE. Here we also provide 14 day out-of-sample forecast for daily cases and daily deaths from August 26th to September 8th, 2021 using each model. [ABSTRACT FROM AUTHOR]

Kampung in Indonesia is well known as one of the character urban form, in which it has various condition as well as their way of living. In general, a kampung is sat as an urban informal settlement for low-income people which separate in many locations, such as along the riverbank or railway, around the urban waste disposal, etc. Nevertheless, some kampung are situated in the downtown or around the Malang Square as the most expensive area. Usually, kampung performs as a high density settlement, less of infrastructure, and supported by informal economic activities. Realized that kampung have some problems, develop a concept by themselves and some of them are supported by government, private and university. Various efforts have been made in supported kampung improvement programs, then it become a mass movement, and also supported by public – private – university program using kampung design competitions. The results of improving some programs were vary widely, but in generally it makes better conditions, in terms of increasing environmental quality, better residential infrastructure, better social participation, and increasing family income. Among the various efforts made, it turns out that many have succeeded in changing the stigma of a slum and dense kampung to be more livable and even a tourist destination, then in general it supports the concept of sustainability. In the early 2020, all of the word suffers caused of Covid-19 pandemic, in which almost all of economic and social activities are sharply decreased or even stopped up to the new normal is applied, some activities are to be conducted, but in fact, it was still limited, including tourism. After entering micro-scale social restriction, the number of covid sufferer were decrease, namely between level 3 to 4, various activities can begin to be carried out, including implementation of schools, worship and many activities using the health protocol in various form. Therefore, an adaptive concept is needed as a way out for the Covid-19 problem which aims to develop and restore tourist kampung, as well as sustainability needed. This concept is structured with an approach that combines scaling methods, sustainable concepts and health protocol standards for tourism development. The result of this research can be implemented in kampung tourism than it has the possibility for widespread in many kampung. [ABSTRACT FROM AUTHOR]

The need for physical distancing in the Covid-19 pandemic has led many countries to implement policies to study from home. In mid-2020 and until mid-2021, students in Indonesia still have to do online learning. Therefore, the lecturers teach online (known as Emergency Remote Teaching (ERT)), including for science courses. A hands-on activity in science courses is often considered unable to be carried out optimally in ERT. In this study, the role of hands-on activity in teaching basic science concepts online (ERT) is discussed. The methodology used in this research is Self-Study of Teacher Education Practices (S-STEP). The main data source is taken from the author's reflection (journaling) process in implementing ERT in the basic science concept course in primary school teacher education. Some results from the students' feedback questionnaire are also part of the data. From this research, it is found that in ERT for science, a hands-on activity not only plays a role in improving student competence, such as in in-person teaching, but also has a role in engaging students' attention, providing a sense of learning to the students, and also providing a possibility for interaction among students and between lecturer and students. This result may provide insights to science subject lecturers during the ERT period. Due to the importance of hands-on activities, In ERT, the hands-on activities may be replanned and redesigned according to ERT conditions, but science lecturers are suggested not to completely eliminate the hands-on activity. [ABSTRACT FROM AUTHOR]

The striking global transmission of COVID-19 has empowered numerous governments to intervene in order to keep the contamination at bay. Medical tourism could be a developing marvel with arrangement ideas for wellbeing frameworks, particularly in goal countries. Medical tourism, a rapidly growing industry, has been identified as a potential source of financial diversification by a number of countries. This study proves that government expenditure is significantly affected by CO2 emission and sectors, all in contributions to pollution. Despite the fact that Indonesia is one of the most popular destinations for therapeutic tourism, research into its competitiveness has been limited and limited in scope. This case study employs a quantitative approach to identify and analyse the variables that position Indonesia as a viable medical tourism destination. Based on an all-inclusive approach, this investigation discovered that coordinating various procedures for restorative tourism advancement with sound government arrangements and proactive administration practises has resulted in significant positive results toward shared victory of Indonesia's tourism and healthcare segments. [ABSTRACT FROM AUTHOR]

Since the Covid-19 pandemic was started in Indonesia in March 2020, huge action has been done by the Government including constitutes policies on handling the Coronavirus. One of the important things to prevent being infected with the Coronavirus is to keep the hands sanitized. It can be done either wash using soap or sanitized using hand sanitizer. However, some problems may occur in the distribution of hand sanitizers, such as undirected delivery or waste of transportation distribution costs for delivery. This research aims to determine an optimal distribution route for hand sanitizer to some public facilities in Palembang City, Indonesia as input for the Government in preventing the spread of the virus. The Nearest Neighbour and Sweep algorithm was applied to fulfill the objective of the study. For this study, two public services were set as origin points and 30 public facilities as destination points. The optimal distribution route result is based on the Nearest Neighbor method with a total distance of 136.56 Km and a total time of 423 minutes, compared to the Sweep algorithm method. By applying the suggested route based on the Nearest Neighbor methods, the total cost is estimated 2.1% less compared to the distribution route on the Sweep algorithm. [ABSTRACT FROM AUTHOR]

Transmission of the coronavirus continues to increase in many areas since the pandemic occurred. The increase in cases is due to the high level of transmission through droplets that can occur due to physical contact and communication made by Covid-19 sufferers. Face-to-face relationships between pharmacists and patients are vulnerable to the spread of Covid-19. Therefore, through the appeal of the Ministry of Health of the Republic of Indonesia by utilizing information technology as a medium in communicating with patients, a Communication, Information, and Education (KIE) information system was created. The purpose of this research is to produce a KIE information system as part of the duties and responsibilities of the pharmacy in terms of providing drug information. The research method with the prototype method starts from system requirements analysis and system design. The system requirements analysis interview was conducted using the PIECES method and made a system design using context diagrams and Data Flow Diagrams (DFD). The data taken is in the form of points submitted by the pharmacy in conducting KIE. This study uses data from interviews and observations of KIE points at the Pundong Clinic. The results showed that there were 8 main points conveyed by the pharmacy in conveying information on drug use to patients. The design of the KIE information system using the PIECES method resulted in a new system that can assist pharmaceuticals in conveying information on drug use to patients accurately, completely, and avoiding the transmission of Covid-19. [ABSTRACT FROM AUTHOR]

Malaria is a national and global scale problem on Covid pandemic, with number of cases 516,272 (2020) in Indonesia and 7.9 million in Asia. Resistance use of insecticides, increase doses that harm non-target organisms. This research aims to determine LC90 in toxicity test of synthesis Nanosilver, Carbamate, and Organophosphate. It uses controlled post-treatment design, with total samples of 40 of treatment of Anopheles larvae in malaria endemic areas. LC90 calculation based on estimates and plotting the observed data with the y = ax + b formula. LC90 in synthesis of Nanosilver nitrate and Organophosphate is (0.5 mg/lt + 0.87mg/lt mg). LC90 in synthesis of Nanosilver nitrate and Organophosphate Carbamate are (0.5 mg/lt + 2.235 mg/lt). The absorption of silver nanoparticle into the body of larva Anopheles sp. occurs through the spiracles. Synthesis of Nanosilver and Organophosphate is more effective than Carbamate due to the nature of the Organophosphate and Carbamate materials which influenced by the size of the compounds. Synthesis Nanosilver nitrate (Ag2NO3) has LC90, 0.5 mg/lt + 0.87 mg/lt, which is effective for controlling larva of Anopheles sp. and eco-friendly material as it is better than Carbamate. [ABSTRACT FROM AUTHOR]

Covid-19 has spread across the world. To overcome this, the Government of Indonesia implemented a Large-Scale Social Restriction (in Indonesia, it is called PSBB) in several areas, including Jakarta. The research aims to analyze the number of transportation modes and industrial closures on air quality (CO, NO2, SO2, O3, and PM10) during PSBB using descriptive-analytic methods. Our research uses secondary data obtained online from Jakarta's Environmental Services, Transportation Services, and Manpower Services. The analysis used in our study is Mann Whitney and Rank Spearman tests. Overall, the number of transportation modes have more impact than industrial closure. PSBB has impact on reducing CO levels 72,4%, NO2 (78%), and SO2 (0,35%). Coefficient correlation number of modes transportation with CO (R = 0,259; p < 0,001), NO2 (R = 0,384; p < 0,0001), SO2 (R = 0,372; p < 0,0001), industrial closure with SO2 (R = -0,364; p < 0,006). Most motorized vehicles Band industries use fossil fuels. Vehicle and industrial restrictions reduce the use of fossil fuels. Emission reduction will affect air quality. Restriction on the number of industries and vehicles at the time the PSBB significantly reduces exhaust emissions. [ABSTRACT FROM AUTHOR]

The global COVID-19 pandemic had a complex impact on the supply chain system. Manufacturing companies always strive to be able to face corporate competition and become superior with one of them through selecting the right supplier. Suppliers have the highest risk in a company, especially during the COVID-19 pandemic era, but with the correct selection of suppliers, the company can provide strength in global competition. The purpose of this research is to be able to solve the problem of sustainable supplier selection in a garment industry in Indonesia during the COVID-19 pandemic through the integration method between AHP and MOORA. AHP as a method that has been proven in many studies, in this study is used to determine the weight of each criterion. Furthermore, MOORA as a method that has good selectivity in choosing the best alternative will be used in the selection process. 12 criteria with 5 alternatives are used to determine the best supplier. The contribution of this research is the integration of the AHP and MOORA methods and the determination of important criteria in the era of the COVID-19 Pandemic. The results show that the criteria for the area with the level impact of COVID-19 (C12) have the greatest weight and supplier 3 becomes the first ranked supplier or the best supplier. The integration method between AHP and MOORA is easy to use and can choose the right sustainable supplier during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

During the COVID-19 outbreak, the use of mobile payment methods in Indonesia rose dramatically. Retaining customers is critical for mobile payment service providers. The purpose of this study is to analyze consumer behavior toward the adoption of mobile payment systems using the unified theory of acceptance and use of technology (UTAUT), utilitarian value, and trust. The partial least squares-structural equation modeling (PLS-SEM) approach is used to validate the suggested model. The information was gathered from 260 M-payment customers in Indonesia. The findings revealed that information quality, system quality, and service quality all had an impact on perceived value. Performance expectancy, social influence, effort expectancy, facilitating conditions, personal innovativeness, trust, and perceived value all had a substantial impact on behavioral intention. Furthermore, behavioral intention had a considerable influence on user behavior. The findings of this study contribute to a better knowledge of the elements that influence the adoption of M-payment systems in Indonesia. [ABSTRACT FROM AUTHOR]

Since the Covid-19 pandemic, the growth of E-commerce in Indonesia has increased sharply. Due to the shift in human habits or activities from offline to online. However, the lack of facilities and infrastructure is a problem fisher face when they want to distribute their catch. This study develops an online marketplace to provide convenience for fishers in marketing their catch. This study aims to create a Customer to Customer (C2C) marketing system model with Progressive Web Application (PWA) technology. PWAs can develop applications in a fast, reliable, and attractive user experience. The product display uses the closest distance calculation based on the region category. Transactions are limited to using the COD system to adjust to the background of knowledge, trust, and customer convenience. The development research results show that the system can work well following the analysis of user needs. [ABSTRACT FROM AUTHOR]

Unpaid Work is one of gender equality's problems that inevitably occur in domestic life. Most women experience inequality problems because of pre-existing views of a woman's role. This study aims to determine the circumstances and changes in unpaid Work in Indonesia and Japan during the COVID-19 and before the pandemic. The method used in this research is literature study and interviews. These interviews were conducted with 8 Indonesian families and 8 Japanese families where both partners are working. Based on the data processing result, there is an increase in the time to do unpaid Work for women and men during the COVID-19 pandemic. Other than the time increase, men's role in taking care of the households also increased, but the dominant worker at home is still women. To this study, gender equality of unpaid Work at home is more balanced in Indonesia than in Japan. This statement can be seen because of the role of Indonesian women in society, such as the number of working women, women's role in government, and others. The authors provide ideas for handling unpaid work problems in domestic life with this study. [ABSTRACT FROM AUTHOR]

The spread of the Covid 19 virus in various countries, including Indonesia, has made face-to-face teaching difficult to implement. In a short time, schools and universities have to change their learning methods to online learning. Bina Nusantara University has prepared online learning models, such as Video Conference (VC), Video-based Learning (VBL), and discussion forum. VBL has been prepared before the lecture starts so that students can study the material first. With the VC model, Lecturers give lectures through the Zoom application. Meanwhile, the discussion forum is a means of discussion between lecturers and students through a system called Binusmaya. From these three learning models, researchers will focus on VC and VBL methods. This study aims to evaluate the two learning models regarding language proficiency skills. The research scope will be limited to the Japanese skills course at Bina Nusantara University. The data collection method in this study used a questionnaire with a 5-point Likert scale. Furthermore, the questionnaire results will be analyzed by quantitative methods using Lisrel to find the benefits of learning with these two methods. From the evaluation results, it is found that the VC and VBL methods affect Japanese Language Proficiency. [ABSTRACT FROM AUTHOR]

The purpose of this study was to determine and analyze the effect of transformational leadership and charismatic leadership on the commitment to health workers during the Covid-19 pandemic. The approach used in this research was quantitative. The population in this study were health workers who served in hospitals (private and government hospitals) in several cities in Indonesia, with as many as 367 health workers. The data collection technique was the survey method. The analysis used the multilinear regression assumption test by using SPSS. The study results found that transformational leadership had a direct positive effect of 4.4% on the commitment of health workers during the Covid-19 pandemic. Charismatic leadership directly had a positive effect of 5.7% on the commitment of health workers during the Covid-19 pandemic. Simultaneously transformational leadership and charismatic leadership influenced 18% of the commitment of health workers during the Covid-19 pandemic. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, the local authority in each city was implementing different approaches to limit the virus spread within the population. Jakarta, as the city with the most reported cases in Indonesia, reinforced the lockdown policy to limit the activities of its people. This regulation has been reported by news outlets as the main factor which improve the traffic condition in Jakarta during this period. The present study proposed a text mining approach to explore this phenomenon in the social media realm, especially Twitter. The tweets used in this study were gathered from the Jakarta police department's official Twitter account, @TMCPoldaMetro. This account regularly reports the traffic condition from several locations across Jakarta. The proposed method extracted the location and its traffic condition reported on the tweets. Then, the weighted scores, from zero to two, were calculated to quantify this traffic condition during the lockdown period (10th of April - 31st of December 2020). These scores are compared to the same period from the two previous years, as well as the previous period within the same year (1st January - 9th of April 2020). Firstly, a series of t-test was conducted to statistically measures the traffic condition differences in general. The result of this study indicates a significant traffic improvement during the lockdown period in overall reported locations. Furthermore, chi-squared tests were also performed to measure traffic improvement in each specific location. Surprisingly, several locations which considered as office district was reported no traffic improvement. [ABSTRACT FROM AUTHOR]

This study aims to identify the implementation of Work-Based Learning (WBL) during the covid 19 pandemic in vocational education. The literature review systematic method approach is used for decision making from the implementation of Work Based Learning. We identified 151 articles from the Scopus database with keywords work-based learning virtual pandemic and conducted citation searches using five articles to identify relevant literature. Research using the term virtual educational, virtual reality landscape describe work-based learning for medical students. Apprenticeship and other forms of work-based learning can be an opportunity for empowering young people and adults, boosting their long-term employability through quality education and training. Consensus in Asia that apprenticeships and other forms of work-based learning may support the transitions of young people from school to employment and increasingly contribute to upskilling and reskilling of adults. Recommendations The implementation of WBL activities in the future will be carried out online and offline by continuing to apply the process but hard skills and soft skills are still obtained. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has caused global disruption that has significantly affected various supply chain systems worldwide. Several garments manufacturers in Indonesia have struggled to get material supplies because of a sudden stop in suppliers' operations. Besides COVID-19, various disruptions, either small or large, can occasionally occur within companies' supply chain systems. Several strategies have been applied to create resilient and robust supply chain systems to both anticipate and recover from the threat of disruption. Three primary strategies are considered in this research: the sourcing strategy, resilience strategy, and supply base strategy. An analysis with quantifiable parameters was conducted to evaluate the application of the strategies within the case study company's supply chain network. An investigation was carried out by developing a two-stage stochastic programming model that includes 128 disruption scenarios. This model also includes two types of disruption: Low Impact High Frequency (LIHF) and High Impact Low Frequency (HILF). Based on the results of the analysis, the strategies are effective in creating a resilient supply chain system. Compared with the past condition, the implementation of the strategies as mentioned earlier leads to a lower total cost and maximum service level. [ABSTRACT FROM AUTHOR]