This study is a quantitative research using bibliometric analysis. This study aimed to find out more detail about the “Statistics: A Journal of Theoretical and Applied Statistics” or SJTAS which was published during 1985-2021. This was seen from the topic of study, country productivity, author contributions, and analysis of their citation. The data in this study were taken from the Scopus database using keywords: (ISSN(0233-1888) OR ISSN(1029-4910)). The results obtained from the Scopus database are 1.798 documents. The average article citation fluctuates annually and the highest article citation is in 2018. Keywords from articles published in the SJTAS are dominated by topics: order statistics (55 articles), asymptotic normality (43 articles), bootstrap (33 articles), exponential distribution (32 articles), and consistency (31 articles).

Energy is a crucial input in the process of economic, social and industrial development of any nation. Fluctuating solar insolation and late sunrise hour has led to poor quality dried biological material production. A simulation of hot-air supplemented solar dryer (HSSD) designed for such purpose is presented for temperature distribution based on direct solar irradiation of 1423 W/m² of Akure, Nigeria (5.304º Latitude 7.258º Longitude). The environmental conditions in the hybrid dryer were measured during a day of operation. The model of the dryer was created and a numerical model was established to allow replicating the internal environmental conditions of the dryer. The airflow, temperature, radiative heat flux and other parameters inside the HSSD system were simulated using computational fluid dynamics (CFD) approach. The simulated result was compared with the calculated and estimated parameter values for the HSSD. The simulated air-flow pattern and temperature distribution on the horizontal and vertical planes in the drying chamber were analyzed and the results revealed spatial homogeneity of drying air condition. However, there is higher velocity profile at the outlet vent due to buildup of hot air at outlet vent. There was relatively low interference of external temperature in the drying chamber.

Senior High School 14 of BANDAR LAMPUNG is one of the Secondary Education that applies the use of information technology into the academic information system. The Secondary Education strategy plan in the development of information systems has not gone through the information system audit process so that the planning of the information system is not in line with the needs of the expected business process. To overcome this, it is necessary to have an academic information system audit to see the maturity level so as to produce an audit report that can be used as a recommendation in planning an academic information system in the future. An information system audit was conducted using the COBIT 4.1 framework on the DS11 domain. Data collection techniques through observation, interviews and questionnaires. The questionnaire used is a maturity level questionnaire while the maturity level questionnaire is used to measure the level of maturity of the information system for the current condition (as is) and the expected condition (to be). The results of the study concluded that the detailed control objective performance obtained from the expected maturity level (to be) questionnaire in the DS11 process as a whole was at level 4 or managed and measurable. Recommendations for planning solutions towards the expected level of maturity are carried out by defining remedial actions on the attributes of AC, PSP, TA, SE, RA and GSM

This study aims to investigate how effective asynchronous Google classroom with VTT on improving students' writing achievement for recount text at SMAN 6 Kendari used quantitative design with pre-experimental one group pre-test and post-test. The research population was 346 entire school who registered in academic year 2020/2021. Meanwhile, XI MIPA 3 were 28 students as a valid sample of this study. Sampling selected using simple cluster random. Data collection used a written test that analyst by paired sample t-test that shows descriptive and inferential statistics based on students pre-and post-test. The research finding shows that there was significant different in gain score for pre-test (M=62,50; SD= 5.853) and Post-test (M=80.1071; SD=5.09422), t (27) = 13.095; p < 0.05, ttable= 2.052. It shows t-count > t-table with sig α < 0.05, H0 is rejected and H1 is accepted, so it can be concluded that using asynchronous google classroom with video teaching tutorial show a positive effect on student writing achievement for recount text at SMAN 6 Kendari.

Reducing CO2 emission through innovation discovery is essential to respond to the global warming issue. The research states that construction material contributes 11% of CO2 emission on building. Agricultural waste in Indonesia is plentiful, but it has not been used optimally, one of examples is corncob waste. The study to theoretically identify the absorption level on acoustic panel of corncob waste using two kinds of panel thickness dimensions composed of natural corncob through literature study and laboratory test of impedance tube by identifying the absorption panel coefficient phenomenon of corncob waste. The physical characteristic of corncob is porous, and this study found that there was a good absorption level in two dimensions of panel thickness of 3 cm and 5 cm. It was strengthened by the finding of a frequency shift phenomenon of two dimensions of panel thickness due to resonance in air cavity/gap among corncobs.

The lecture building is the same building as the building in general, namely a building made of wood or concrete construction. During its operation, the potential for damage to an old building or a relatively newly constructed building is very large. There is no data on damage at the University of Palangka Raya that has caused a decrease in the level of productivity of activities carried out by building owners or users so that the condition of the college building is not well maintained. This research was conducted by conducting a survey of filling out the form in the building of the first lecture building of the Faculty of Economics and Business, University of Palangka Raya. The survey form was analyzed further, 3 categories of component types emerged, namely Architectural: Foundations, Sloof, Columns, Ring Balk, Walls, and Roof Frames, Architectural: Roofs, Ceilings, Floors, Locks, Frames and Leaves, as well as Painting, Utilities: MCK, and Electrical: Electric. The analysis used is descriptive analysis. The results of this analysis show that 3 components, which have a percentage damage of 0.5% of keys, 0.7% of frames and leaves, and 7.37% of painting, with a total of 8.6% fall into the category of damage levels, namely lightly damaged, with a budget of Rp. 759.736.00 for keys, Rp. 3,495.992.39 for frames and leaves, and Rp. 106.463.066.64 for painting, with a total cost of damage of Rp. 110,718,795.02. This research is useful for managers and further research can be a reference in improving the quality of the building.

DiTenun website is a web-based application developed to create new motifs or new weaving patterns. This website needs to have good performance so that it can be optimally used by the users. By understanding the importance of the information available on the DiTenun website, a performance testing is necessary. This performance test aims to verify specific system performance such as response time and service availability despite receiving a large number of requests. The performance analysis of the DiTenun website was carried out by spike testing using the Apache JMeter tool. In solving the problems and improving the performance of the DiTenun website, the researcher applied website optimization by utilizing the browser cache, activating gzip compression, and eliminating rendering – blocking resources. Evaluation of each solution was carried out by using a hypothesis test, namely using a paired sample t test. The result of the test showed that each solution that was implemented can be used to improve performance in the form of load time of the DiTenun website.

Construction projects require costs as a very important element in their implementation. There are several alternative methods that can be used as a rationale for conducting studies on cost savings. One of the alternatives that can be used for savings by eliminating unnecessary costs so that the value of the project can be reduced is Value Engineering (value engineering). One of the important stages in VE is the analysis of functions whose purpose is to identify the functions that are most beneficial for the study of VE. The method used in the analysis of this function is the Function Analysis System Technique (FAST) Diagram with the aim of defining the function of each work item analyzed and can review the basic functions that are used as guidelines in the selection of alternative designs for cost savings. In the Taman Sari Apartment construction project, a function analysis was carried out on high-value work items, namely structural work, frame work, door and window leaves, wall work, floor work and roof covering work. On the work of the structure identified the basic function of the work of the structure is to plan an alternative design with outputs in order to obtain cost efficiency. Then in the work of the frame, door leaves and windows have the basic function of planning an alternative design with output to be able to provide space access. Wall work with basic functions as a room divider to provide comfort and privacy as the resulting output. In floor work with the basic function of closing the floor base and the output is to beautify the room. For roof covering work has a basic function by calculating the roof load and output to obtain cost efficiency. After the implementation of the functioning analysis stage, cost savings are carried out by identifying and reducing unnecessary costs without reducing the quality and function level of the project it self.

The problem of loose spot welding nuts during knockdown is a problem, from the cost of replacing the loose spot welding nut and additional time to repair damage that can reduce productivity. To increase the strength of spot welding, it is necessary to test with certain variables, namely the spot welding process with five variables 25A, 30A, 40A, 50A, and 60A, five time variables 0.5 seconds, 1.0 seconds, 1.5 seconds, 2.0 seconds and 2.5 seconds. Each of 30 samples of each variable were tested for destructive torque with a digital torque wrench to get a precise torque value and SEM photos to determine the HAZ of the spot welding process. The results obtained from this study are to determine the effective value of each variable so as to increase the efficiency of repair costs in terms of goods and time due to the release of nut spot welding. Tests are carried out to increase productivity in terms of time and cost efficiency as well as to find out the science in examining the effect of current and time variables in the spot welding process.

Pile work in building construction is generally the first substructure/lower structure construction to be carried out. This is very important to note because delays in execution time at the beginning of the work will have a domino effect on increasing project costs. This study aims to analyze factors that cause delays in pile work (Xi) and on-time performance (Y) in constructing medium-rise buildings in the Jabodetabek area. This study uses the Multiple Linear Regression Analysis Method, with the data and information used are respondents' perceptions through questionnaires and statistically analyzed using the SPSS version 25 program. Simultaneously/together, Design/Planning Factors (X1), Work Implementation Factors (X2), Material Factor (X3), Equipment Factor (X4), and Soil Condition Factor (X8) have an influence contribution of 69% to the Time Performance of pile work in medium-rise building construction projects (Y). While the most dominant factor influencing the cause of delays in pile work in medium-rise building construction projects (Y) is the Soil Condition Factor (X8).

Disposal of laundry waste directly in the river is the cause of high river pollution. Laundry wastewater resulted in an increase in BOD and COD parameters so that it had a negative impact on ecosystem life. The coagulation process using chemicals can reduce BOD and COD parameters in wastewater but have negative effects on health. Chitosan from snail shells can be used as an alternative coagulant that is environmentally friendly because it contains about 70% - 80% chitin. This study aims to synthesize chitosan biocoagulants from snail shells and to test the effectiveness of snail shell chitosan in the treatment of laundry wastewater. Fourier Transform Infra-Red (FTIR) analysis showed that the deacetylation rate of chitosan obtained was 78.06%. Coagulation was carried out on wastewater using variable concentrations and stirring speed. The results showed that the optimum dose of snail shell chitosan biocoagulant was at a concentration of 0.4%. At this dose, the coagulant can bind to the most optimal contaminants so that it can reduce the BOD and COD values ​​in laundry waste and the Fast Stirring Speed ​​of 100 rpm is the optimum stirring speed because large speeds will produce excessive shear forces and prevent the desired floc arrangement.

This research aimed for the mathematical problem-solving ability of comparative materials reviewed from visual learning styles in classroom students. This research was descriptive research, which seeked to find out and describe the mathematical problem-solving skills of comparative materials in terms of learning styles in classroom students. Processed data was the ability to solve mathematical problems in terms of uditory and visual learning styles. The data collection technique used was in the form of giving questionnaires, writing testers and interviews. The questionnaire used was a statement-shaped questionnaire to analyze each student's learning style, namely visual and auditory, problems used in the test of problem-solving skills in the form of comparative materials, which amount to 2 numbers, and interviews aimed to find out the learning skills of students in solving comparative problems. The validity of the data used was triangulation method. Data analysis techniques are by using data reduction, data presentation, and verification. Based on the processing of the data, it was obtained that subjects with mathematical problem-solving skills based on visual learning styles on SV1 subjects were able to meet all four indicators of problem-solving ability according to Polya's steps, namely understanding problems, drawing plans, implementing plans, and reevaluating.

Indonesia is a country experiencing demographic growth, especially in the productive age. This growth has several consequences, among others, from income and consumption levels. The increase in the people's standard of living affects various industries, including the food and beverage industry. Apart from macroeconomic and demographic factors, technological factors play an essential role in increasing production. In this case, the availability of coffee machines on a home scale. This machine's existence enables small businesses to start their coffee cafe businesses to compete with large coffee companies. This research uses existing analytical tools between market potential analysis and boarding house structure analysis. This analysis found that there was a decrease in the barrier to entry to the ready-to-serve coffee industry. As a consequence, there are vast opportunities for small businesses to start a business using home-scale machines. This study explains the phenomenon of the rapid development of small-scale coffee in Indonesia in recent years.

The linear gel is prepared by treating bio-diesel with various water samples collected from different water bodies. The new biodiesel based linear gel was employed in the recovery of oil wells through hydrofracturing and pilot tests were conducted for the first time. The viscosity of gel was measured at various bottom hole-circulating temperatures and it was found to vary from 32 to zero dial reading in the range of 45ºC to 60ºC. The gel was observed to break at 45ºC and 60ºC in 120 min. So the final temperature was selected as 60ºC for the application of gel for coal bed methane (CBM) wells. It was observed that higher levels of salinity in water helped in optimum utilization of gel in real-time application.

Somalia has recorded the first confirmed Covid-19 case and first death case on March 16, and April 08, 2020, respectively. Since its arrival, it had infected 2,603 people and took the lives of 88 people while 577 patients were recovered as of 14 June, 2020. To fight this pandemic, the government requires to make the necessary plans accordingly. To plan effectively, the government needs to answer this question: what will be the effect of Covid-19 cases in the country? To answer this question accurately and objectively, forecasting the spread of confirmed Covid-19 cases will be vital. To this regard, this paper provides real times forecasts of Covid-19 cases employing Holt's linear trend model without seasonality. Provided that the data employed is accurate and the past pattern of the disease will continue in the future, this model is powerful to produce real time forecasts in the future with some degree of uncertainty. With the help of these forecasts, the government can make evidence based decisions by utilizing the scarce resource available at its disposal.

Linear gel fracturing fluids are expressed with an extensive range of materials/polymers in an aqueous base. Earlier we developed fracturing linear gel with fossil diesel, bio-diesel and also used suspending anti-settling agents and emulsifiers. Here we report on a novel and an efficient method for the preparation of linear gel direct mix with water, guar gum and sodium acetate together instantly. In this research work, we used water instead of diesel without any need to mix anti-settling agents, suspending agents, emulsifiers that resulted in 30 viscosity linear gel. The degradation pattern observed from the breaker test showed that a reduction in gel viscosity depends on time, temperature & breaker concentration. Ammonium per sulphate or Ammonium per oxidisulphate and enzyme-G were used for oxidation purpose to break the gel gradually at a particular static temperature. Observations from experiments revealed that a small concentration of breaker provides rapid break compared to oxidative breakers. This article, designing of fracturing fluids describes how to use the fluid's viscosity generated by the gelling agents like guar gum for CBM operations.

Novel Coronavirus disease 2019 (COVID-19) is an ongoing pandemic and life-threatening highly infectious disease outbreak. The people of Bangladesh are at high risk of COVID-19 and have already experienced various socio-economic, Physical health, and psychological consequences. Particularly, mental health problems are dominantly reported in the literature and should be controlled. The main objective of this epidemiological study is to assess the mental distress and identify its determinants using an online-based survey. Such information is urgently needed to develop feasible strategies for Bangladesh. An online survey was conducted for this study from May 01 to May 05, 2020. A total of 240 respondents provided self-reported online responses. Respondent’s mental distress was measured by the General Health Questionnaire 12 (GHQ-12) and by the self-rated mental health (SRMH) questions. Various kinds of statistical analyses ranging from simple to multivariable logistic recession were performed using SPSS 23.0. About 31.3% and 48.3% of respondents were mentally distressed by GHQ-12 and SRMH questions, respectively. Logistic regression analysis revealed that mental distress was significantly higher among those respondents, whose usual activity was affected by the coronavirus (OR = 6.40, 95% CI: 1.87 - 21.90, p<0.001) and whose financial stress was increased due to lockdown (OR = 2.12, 95% CI: 1.01 – 4.46, p<0.05) on GHQ-12. Female sex (OR = 1.97, 95% CI: 1.03 – 3.75, p<0.05) and respondents with poor mental health before the outbreak (OR = 3.38, 95% CI: 1.18 – 9.72, p<0.05) were also significantly affected by mental distress on SRMH. At least thirty-one percent of the respondents were found to be mentally distressed. Some of the study findings, particularly significant determinants, should be considered while developing strategies to reduce the burden of mental distress among study respondents or similar groups.

This study aimed to determine how much the increase in the ability of implementing fun-based learning for the mathematics teachers of SMA Negeri I Barru through structured clinical supervision. The method used in this study was a school action research. The population of this study were all mathematics teachers at SMA Negeri 1 Barru which consisted of 6 teachers: 3 males and 3 females. This study was conducted in the odd semester of the 2019/2020 school year for 6 meetings. Data in this study were collected by using observation sheets and structured clinical supervision observation instruments ranging from pre-observation, the observation of learning implementation to the observation of feedback implementation for each supervised teacher. The data were analyzed by using qualitative and quantitative descriptive analysis. The overall results of this study were based on the implementation of structured clinical supervision starting from the results of pre-observation of the teaching and learning preparation: syllabus, lesson plans for teaching materials and assessment instruments, as well as the results of observation of the assessment of the learning process.

This paper presents and evaluates a continuous recording system designed for a low-cost seismic station. The architecture has three main blocks. An accelerometer sensor based on MEMS technology (Microelectromechanical Systems), an SBC platform (Single Board Computer) with embedded Linux and a microcontroller device. In particular, the microcontroller represents the central component which operates as an intermediate agent to manage the communication between the accelerometer and the SBC block. This strategy allows the system for data acquisition in real time. On the other hand, the SBC platform is used for storing and processing data as well as in order to configure the remote communication with the station. This proposal is intended as a robust solution for structural health monitoring (i.e. in order to characterize the response of an infrastructure before, during and after a seismic event). The paper details the communication scheme between the system components, which has been minutely designed to ensure the samples are collected without information loss. Furthermore, for the experimental evaluation the station was located in the facilities on a relevant infrastructure, specifically a hydroelectric dam. The system operation was compared and verified with respect to a certified accelerograph station. Results prove that the continuous recording system operates successfully and allows for detecting seismic events according to requirements of structural health applications (i.e. detects events with a frequency of vibration less than 100 Hz). Specifically, through the system implemented it was possible to characterize the effect of a seismic event of 4 MD reported by the regional seismology network and with epicenter located about 30 Km of the hydroelectric dam. Particularly, the vibration frequencies detected on the infrastructure are in the range of 13 Hz and 29 Hz. Regarding the station performance, results from experiments reveals an average CPU load of 51%, consequently the processes configured on the SBC platform do not involve an overload. Finally, the average energy consumption of the station is close to 2.4 W, therefore autonomy provided by the backup system is aroud of 10 hours.

The method used in this study was a classroom-based action research that aimed to improve students' mastery of the geometric transformation formulas through the Play Lucky Card technique. This study was conducted in class VIII.2 of SMP Negeri 3 Barru with 23 students. The results achieved after the study was carried out for two cycles were as follows: In the first cycle, there were 40.63% of students who had the ability to master the geometric transformation formulas in the sufficient category. Whereas in the classical results, it was found that the students' average score was 68.06 in the 54.6-64.5 interval or in the sufficient category. In the second cycle, there were 56.25% of students who had the ability to master the mathematical formulas in the high category, 28.13% of students had the ability to master the mathematical formulas in the very high category. From the results of the final evaluation of the second cycle, it was classically found that the students' average score was 76.75 in the 64.6-84.6 interval or in the high category. Based on the results of the final evaluation, the students of class VIII.2 had an absorption amounted to 86.75%, and other data showed that the students of class VIII.2 who scored > 65 (84.38%), were in the high and very high category. Thus, it can be concluded that there was an increase in the ability to master the geometric transformation formulas of class VIII.2 students at SMP Negeri 3 Barru after the implementation of Play Lucky Card technique, there was an increase in motivation and activeness as well as the presence of students following the mathematics learning process. This was reflected in the number (quantity) of students who raised their hands to work on the questions on the blackboard which tended to increase from one meeting to the next. Moreover, almost all students submitted every homework according to predetermined deadlines.

This review article aims to create awareness towards COVID-19 epidemic and develop a basic responsibility in human beings to control and stop the transmission of COVID-19. It has been highlighted that disaster is imminent if we play with nanostructures unknowingly. The effect of COVID-19 on mankind and its detection and transmission have also been discussed briefly. The protection guidelines including treatment procedures have been illustrated. The utilization of nanoparticles to detect and cure COVID-19 has been described.

Amount of death due to pregnancy are gradually decreasing worldwide, among all of these estimated deaths, one-fifth of the maternal death recorded in southern Asia. The increasing rate of caesarean section (CS) delivery and the improved safety of surgical skill are the big reason of reduced pregnancy related mortality rate. Bangladesh has the increasing CS rate on southern Asia. This study aimed to identify the different factors affecting the increasing rate of CS in Bangladesh This cross-sectional survey was conducted between January 2020 - March 2020 among the married women at reproductive age (15-49 years age) having at least one under five years child of Dhaka and Noakhali district in Bangladesh. A questionnaire was designed to survey the preference of their delivery mode. Bivariate logistic regression analysis was performed to identify the factors. A total of 357 Bangladeshi women participated in the survey and 55.7% declared they would prefer normal vaginal delivery (NVD) and 37.3% had no clear preference. The actual scenario was the overall CS rate was 51.8% during 2015-2019. But it was very high (77.8%) for the 40 years and above women. The study revealed several important factors that significantly affect the increasing rate of CS for childbirth. Maternal age, religion, current place of residence, working status, monthly household income, birth order, marital age and year of childbirth were found to have significant effect on the high rate of CS. All those who have had face CS at least once in our study faced various problem, they reported. Most of them was feeling tired to do little work and suffered long term back pain. This study will help policy makers in formulating appropriate programs to cope with this challenge efficiently and effectively. Some Special programs should be taken to increase the social awareness and values to save both mother and child, which may lead to decrease the rate of CS in Bangladesh.

The purpose of this paper was to measure the effect of a COVID-19 on social, psychological, economic, and health conditions in Libyan society. This study was undertaken through a questionnaire survey using the Google Form survey questionnaires in order to collect the data. A random sampling method was used from 1st June to 15th July 2020by obtaining greater insight into the issue. A result of this study revealed that the COVID-19 had a different effect on four dimensions (social, psychological economic, and health conditions). The findings of the study indicate that there is a small positive effect on social, middle, and above middle positive effects on psychological and economic respectively and high positive effect on health conditions with various percentages in Libyan society. This has been one of the first academic studies on the COVID-19 on social, psychological, economic, and health conditions addressed the Libyan society. Arguably, many of the areas covered in this study warrant more specific and in-depth investigation. The researchers hope that this paper will be beneficial to both Libyan people and the government in improving and developing the social aspects to avoid spreading COVID-19 in the future.

Anticipating the quantity of new associated or affirmed cases with novel coronavirus ailment 2019 (COVID-19) is critical in the counteraction and control of the COVID-19 flare-up. The new associated cases with COVID-19 information were gathered from 20 January 2020 to 21 July 2020. We filtered out the countries which are converging and used those for training the network. We utilized the SARIMAX, Linear regression model to anticipate new suspected COVID-19 cases for the countries which did not converge yet. We predict the curve of non-converged countries with the help of proposed Statistical SARIMAX model (SSM). We present new information investigation-based forecast results that can assist governments with planning their future activities and help clinical administrations to be more ready for what's to come. Our framework can foresee peak corona cases with an R-Squared value of 0.986 utilizing linear regression and fall of this pandemic at various levels for countries like India, US, and Brazil. We found that considering more countries for training degrades the prediction process as constraints vary from nation to nation. Thus, we expect that the outcomes referenced in this work will help individuals to better understand the possibilities of this pandemic.

Covid-19 is a severe acute respiratory syndrome (SARS) caused by a zoonotic virus in which bats have been identified as carriers. The disease outbreak was first reported on 1 December 2019, in Wuhan city in the Hubei province of China. It has infected more than eleven million persons worldwide and hundreds of thousands have died from the disease complications. It has spread across over 213 countries and territories globally. The global economic impact of the disease has been monumental. The impact cuts across global stock markets, aviation, tourism, entertainment and sports industries. Politics and governments have equally been impacted upon by the disease as legislative businesses have been suspended as a result of the disease. Many political leaders have tested positive and have got to undergone self quarantine and treatment. This paper have equally identified and itemized environmental health aspects of the disease which include: sneeze, cough, talk, touch and covid-19 control waste materials such as face mask, disposable hand glove, medical apron, used tissue papers. Conclusively, it is recommended that face mask should be produced with materials that will be comfortable to people in order to encourage the use. Disused materials should be disposing of properly and promptly.

To control and minimize, many countries have to try to impose radical lockdown, red zone and movement control or stay on their residents. The effectiveness of these alleviation measures is highly dependent on collaboration and the fulfillment of all members of a civilization. The knowledge, attitudes and practices people hold toward the disease play a vital role in determining a society’s willingness to accept behavioral change of the people. This study was to determine the Effect of COVID-19 in among the Bangladeshi public. A cross-sectional online survey of 260 Bangladeshi residents of various sectors and professions was conducted via Google form. Descriptive statistics, chi-square tests, t-tests and one-way analysis of variance (ANOVA) were conducted. Principal component analysis (PCA) was considered to design a standardized scale to measure the mental stress and socioeconomic crisis. Logistic regression was applied to estimate the statistically significant association between different variables on awareness level of the country and cluster analysis (CA) was applied to examine the reliability of each item according to the components to develop a composite score. The overall rate of the level of awareness of Bangladeshi people was only 25%, although 96.9% knowing COVID-19 epidemic. The 33.5% maintain lock down and 40.0% people maintain social distance. We found lack consciousness of People spreadCOVID-19that maybe increase about 68.1% over the country and there is positive correlation between people knowing COVID-19 and awareness level. Losses in education sector are found statistically significant. The PC 1 (first principal component) explained 9.328 % of the variance which was moderate positive loaded with locality people maintain social distance (0.568) and strong positive loaded with people maintain lockdown in locality (0.619). Moreover, result shows that, stay at home was the best method to reduce this pandemic situation, and agriculture sector may overcome this economic distress. However, Meta-Analysis showed that there is strong association between awareness levels of COVID-19 and washing hands daily in the lockdown area.

A feeding experiment was conducted with rabbits as experimental animals for 2 months at 4 treatment groups under the same environmental conditions. The aim was to study the toxic effects of dietary graded levels of polyethylene (PE, 0, 1, 2, and 4 g/ton diet). The main effects were that some animals fed the PE-contaminated diets suffered from mange, diarrhea, weakness, and/or loss of weight. Post-mortem examination of the contaminated-diets fed rabbit revealed presence of bad smell liquids in its abdomen, residues of collective PE in the small intestine, collective feces in one part of the intestine and the parts were filled with aqueous accumulation, the color of one hepatic lobule was pale, and the lungs' color was bloody red. Yet, feed intake and water consumption increased by feeding the contaminated diets. Moreover, animals offered the contaminated diets reflected heavier body weight. However, the feed conversion (utilization) was negatively affected by the PE- contaminated diet; since, dietary PE-inclusion increased apparently feed consumption than the real body weight gain. Slaughter test of the PE-treated animals reflected many remarks including loss of rabbit's weight; increased skin weight, skin was thick and dough, changes in the color and quality of the carcass flesh, easy broken bone. When these animals were eviscerated, it were observed white-colored lungs, with necrosis and bloody infiltration, small-sized liver, with blackly-red color, enlarged gall bladder, narrow diameter of the small intestine, presence of collective mass of PE on the internal wall of the small intestine. The presence of PE in the experimental diets was responsible for significant lowering the specific gravity of the treated animals' bone, as well as their flesh moisture and fat; yet, their crude protein increased besides their edible parts and boneless meat percentages increased too, but not significantly. Dietary contamination with PE reflected its residues in the rabbits' flesh and increased the flesh content of ash (P>0.05). The contaminated diets were responsible for significantly (P≤0.05) evaluating lymphocytes %, MCV, MCH, and PLT and lowering both monocytes and granulocytes % as well as RBCs count. Significant (P≤0.05) increases in albumin, creatinine and uric acid concentrations and decreases of ALT activity were recorded with feeding rabbits the PE-contaminated diets; but, Cho. and Trig. concentrations were decreased (P≤0.05). There was a significant increase of scores of hepatic congestion and necrosis in liver from rabbits group received 0.4 PE when compared with control group. Statistical analysis shows significant increase of scores of renal congestion, fibrosis and acute tubular necrosis in group received 0.4 PE when compared with control group. Hence PE negatively affected rabbits' performance, health and quality, and may affect the consumers' health too.

The present study was carried out to compare between some freshwater food fish species and some other freshwater ornamental fish species commonly known in Egypt, concerning the haematological parameters, dressing percent, fillet (boneless meat) percentage, and chemical composition of the fish flesh on dry matter basis. Four food fish species (Nile tilapia, grass carp, catfish, and Tobara from Manzalah Fish Farm, Dakahlia governorate, General Authority For Developing Fish Wealth, Ministry of Agriculture, Cairo, Egypt) and two ornamental fish (Koi and Fan-tail (Goldfish), from local ornamental fish trade shops, Mansoura, Dakahlia governorate, Egypt) species all belonging to the freshwater fishes were sampled, three fishes from each. Body measurements of the individual fishes were recorded, blood samples were withdrawn, live body weight was recorded, fish were dressed (eviscerated) and filleted, the flesh were minced, dried, and sieved for chemical analysis. From the forgoing results, it could be concluded that the worthiness comparison among fish species for physical, biochemical and haematological parameters, and fish quality must be done between similar species, sex, size, physiological status, nutritional status, rearing system. These parameters are variable and influenced by genetically and environmental aspects.

Since the outbreak of the novel coronavirus (covid-19) pandemic from China in 2019, it has left the world leaders in great confusing due to its fast-paced propagation and spread that has left infected a world population of over Eleven Million persons with over five hundred and thirty four thousand deaths and counting with the United States of America, Brazil, Russia, India and Peru in the lead on these death toll. The pandemic whose increased mortality rate is targeted at ‘aged’ citizens, patients with low immunology as well as patients with chronic diseases and underlying health conditions. Study models covid-19 pandemic via a susceptible-infect-remove actor-based graph, with covid-19 virus as the innovation diffused within the social graph. We measure the rich connective patterns of the actor-based graph, and explore personal feats as they influence other nodes to adopt or reject an innovation. Results shows current triggers (lifting of inter-intra state migration bans) and shocks (exposure to covid-19 by migrants) will lead to late widespread majority adoption of 23.8-percent. At this, the death toll will climb from between 4.43-to-5.61-percent to over 12%.

This study aimed to determine the representation ability of students in learning chemistry. The ability of representation consists of three levels, namely macroscopic level, submicroscopic level, and symbolic level. This study was a descriptive study. The subjects in this study were 53 XI grade students. The study instrument was in the form of a description test compiled based on indicators of representation ability. The results showed that the average score of students’ representation ability at the macroscopic level is 66.94, and is in the good category. The average score of students’ representation ability at the submicroscopic level is 47.17, and is in the medium category. The average score of students’ representation ability at the symbolic level is 64.30, and is in the good category.

This study aimed to determine the effect of animation media in discovery learning model on the students’ representation ability on chemical equilibrium materials. This study was an experimental study using post-test only group design. The study population consisted of 6 classes or 127 students. The sampling technique was done by using purposive random sampling, and 2 classes were chosen consisting of 53 students. Data were collected using a representation ability test which included macroscopic ability, submicroscopic ability, and symbolic ability. By using the inferential analysis of the Mann Whitney test, it was obtained that the significance value for the macroscopic ability was 0.003, the submicroscopic ability was 0,000 and the symbolic ability was 0.041. The significance value is smaller than α = 0.05. Referring to that, it can be seen that there is an influence of animation media in discovery learning model on the students’ representation ability on chemical equilibrium material.

Teacher competence is the roundness of knowledge, skills and attitudes that manifest smart and responsible actions in carrying out tasks as agents of learning. Teacher competencies consist of pedagogic competencies, social competencies, personality competencies, and professional competencies. This research focuses on teacher professional competence. Teachers' professional competencies are examined in 3 aspects namely mastering the material, mastering basic competencies, and developing learning materials that are creatively influenced. This research is a descriptive study to get a picture of the professional competence of Senior High School chemistry teachers in Merauke District. The study was conducted in 3 schools, namely SMAN 1 Merauke, SMAN 2 Merauke and SMAS YPK Merauke. Data obtained through observation, interviews, and documentation. The data obtained were analyzed by means of data reduction, data presentation and conclusion drawing. Through descriptive data analysis the results are obtained: (a) mastering material with an average value of 1.6 being in the category of very competent; (b) mastering basic competencies with an average value of 1.5 very competent categories; and (c) developing learning materials that are creatively influenced by an average value of 1.25 competent categories. Average overall aspects of professional competence 1.45 competent categories. The results of the analysis indicate the professional competence of chemistry teachers in Merauke District is quite good, although there are things that need to be developed so as to improve the professional competence of teachers who have.

The purpose of this research was to analyze student motivation in learning process teach by using Chemsketch. The type of this research is descriptive qualitative research, this research conducted in SMAN 2 Merauke in Papua. Technic that used to get the data using purpose sampling, total population are 28 students in Grade X IPA 2. The data in this research collected using questionnaire that given for student after finish learning process by using software chemsketch on topic hydrocarbon by giving checklist in every item. Based on data analysis, the result only three categorized that got from research, first are 11 student (39.28%) \categorized very high motivation, second are 16 students (57.14%) categorized high motivation , and the third is 1 student (3,5%) categorized medium. From the result showed that the use of chemsketch able to motivate student to learn chemistry especially hydrocarbon topic and for teacher can used as an alternative media for teaching.

In this work Chaotic Predator-Prey Brain Storm Optimization (CPS) algorithm is proposed to solve optimal reactive power dispatch problem. Predator–Prey Brain Storm Optimization position cluster centers to execute as predators, accordingly it will progress towards enhanced positions, although the left over thoughts do as preys; consequently they move far from their neighboring predators. In the projected algorithm chaotic theory has been applied to enhance the quality of the exploration. Ergodicity and indiscretion are utilized in the CPS algorithm, such that projected algorithm will not get trapped in the local optimal solution. Chaotic predator-prey brain storm optimization (CPS) algorithm has been tested in standard IEEE 30 bus test system and results show the projected algorithm reduced the real power loss effectively.

This paper proposes Enhanced Frog Leaping Algorithm (EFLA) to solve the optimal reactive power problem. Frog leaping algorithm (FLA) replicates the procedure of frogs passing though the wetland and foraging deeds. Set of virtual frogs alienated into numerous groups known as “memeplexes”. Frog’s position’s turn out to be closer in every memeplex after few optimization runs and certainly, this crisis direct to premature convergence. In the proposed Enhanced Frog Leaping Algorithm (EFLA) the most excellent frog information is used to augment the local search in each memeplex and initiate to the exploration bound acceleration. To advance the speed of convergence two acceleration factors are introduced in the exploration plan formulation. Proposed Enhanced Frog Leaping Algorithm (EFLA) has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss considerably.

No traffic-signal intersection located on Jalan Serang and Jalan Curug, Tangerang Regency often causes traffic congestion. Many side barriers activities of vehicles inhibit the movement of traffic flow. The toll-road access, which is not far from the intersection, makes the queue long enough to enter Jl. Raya Serang also affects the performance of the surroundings. The study aims to determine the performance of the above intersection this time, which is measured by the capacity, degree of saturation, speed, queuing opportunities, density, and level of services. Field surveys and further analysis of the calculations that have been carried out show the intersection performance. The peak traffic volume occurred on Wednesday, February 5 2020, at 3877 pcu / hour at 07.00 - 08.00 WIB, with a capacity (C) of 2937 pcu / hour. From the available data, the DS value is 1.32. at the Service level F.

Journal of Applied Science, Engineering, Technology, and Education (ASCI) is an international wide scope, peer-reviewed open access journal for the publication of original papers concerned with diverse aspects of applied science, technology, engineering, and education. ISSN 2685-0591 (Online)

The COVID-19 is outbreak from China and infected more than 131,652 people and caused 7,300 deaths in Iran. Unfortunately, the infection numbers and deaths are still increasing rapidly which has put the world on the catastrophic abyss edge. Application of data mining to perform pattern recognition of infection is mainly used for preparing the spread mapping which considered in this work for spatiotemporal distribution assessment and spread pattern analysis of corona-virus (COVID-19) infection in Iran

In this work Hybridization of Genetic Particle Swarm Optimization Algorithm with Symbiotic Organisms Search Algorithm (HGPSOS) has been done for solving the power dispatch problem. Genetic particle swarm optimization problem has been hybridized with Symbiotic organisms search (SOS) algorithm to solve the problem. Genetic particle swarm optimization algorithm is formed by combining the Particle swarm optimization algorithm (PSO) with genetic algorithm (GA). Symbiotic organisms search algorithm is based on the actions between two different organisms in the ecosystem- mutualism, commensalism and parasitism. Exploration process has been instigated capriciously and every organism specifies a solution with fitness value. Projected HGPSOS algorithm improves the quality of the search. Proposed HGPSOS algorithm is tested in IEEE 30, bus test system- power loss minimization, voltage deviation minimization and voltage stability enhancement has been attained.

The turbojet engine operates on the ideal Brayton cycle (gas turbine) and consists of six main parts: diffusers, compressors, combustion chambers, turbines, afterburners and nozzles. Using computer code writing in MATLAB software environment, exergy analysis on all selected turbojet engine components, exergy analysis on J85-GE-21 turbojet engine for selective height of 1000-8000 meters above sea level at speeds of 200 m/s and temperatures of 10°C, 20°C and 40°C have been provided and then, according to the system functions, the system is optimized based on the PSO method. For the purpose of optimization, variables of Mach number, efficiency of the compressor, turbine, nozzle and compressor pressure ratio are considered in the range of 0.6 to 1.4, 0.8 to 0.95, 0.8 to 0.95 and 7 to 10, respectively. The highest exergy efficiency of different parts of the engine at sea level with an inlet air velocity of 200 m/s corresponds to a diffuser with 73.1%. Then, the nozzle and combustion chamber are respectively 68.6% and 51.5%. The lowest exergy efficiency is related to compressor with 4%. After that, the afterburner is ranked second with 11.6%. Also, the values of entropy produced and the efficiency of the second law before optimization were 1176.99 and 479 w/k respectively and the same values after optimization were 1129 and 51.4 w/k respectively which is identified. After the optimization process, the amount of entropy produced is reduced and the efficiency of the second law of thermodynamics has increased.

Point cloud data reconstruction is the basis of point cloud data processing. The reconstruction effect has a great impact on application. For the problems of low precision, large error, and high time consumption of the current scattered point cloud data reconstruction algorithm, a new algorithm of scattered point cloud data reconstruction based on local convexity is proposed in this paper. Firstly, according to surface variation based on local outlier factor (SVLOF), the noise points of point cloud data are divided into near outlier and far outlier, and filtered for point cloud data preprocessing. Based on this, the algorithm based on local convexity is improved. The method of constructing local connection point set is used to replace triangulation to analyze the relationship of neighbor points. The connection part identification method is used for data reconstruction. Experimental results show that, the proposed method can reconstruct the scattered point cloud data accurately, with high precision, small error and low time consumption.

In vehicular ad hoc networks, the current method does not consider the delay of data transmission, resulting in slower vehicle data transmission speed. A vehicle data transmission method based on backbone network is proposed in this paper. Firstly, the characteristics of vehicle ad hoc network are analyzed. Based on the statistics of the road, the vehicle cluster is composed of the vehicles parking on the roadside and no roadside according to the different directions of the vehicle driving. The backbone network is constructed on the basis of the cluster of vehicles, and the data transmission between the vehicles is implemented by the data transmission method of overlay network. This method can overcome the disadvantages of traditional data transmission methods, improve the efficiency of on-board data transmission, and complete the research on fast data transmission method in wireless vehicle ad hoc network. The experimental results show that the proposed method can achieve higher data transmission success rate with lower data transmission overhead and smaller transmission delay.

The advent of the Internet that aided the efficient sharing of resources. Also, it has introduced adversaries whom are today restlessly in their continued efforts at an effective, non-detectable means to invade secure systems, either for fun or personal gains. They achieve these feats via the use of malware, which is both on the rise, wreaks havoc alongside causing loads of financial losses to users. With the upsurge to counter these escapades, users and businesses today seek means to detect these evolving behavior and pattern by these adversaries. It is also to worthy of note that adversaries have also evolved, changing their own structure to make signature detection somewhat unreliable and anomaly detection tedious to network administrators. Our study investigates the detection of the distributed denial of service (DDoS) attacks using machine learning techniques. Results shows that though evolutionary models have been successfully implemented in the detection DDoS, the search for optima is an inconclusive and continuous task. That no one method yields a better optima than hybrids. That with hybrids, users must adequately resolve the issues of data conflicts arising from the dataset to be used, conflict from the adapted statistical methods arising from data encoding, and conflicts in parameter selection to avoid model overtraining, over-fitting and over-parameterization.

The economy is sphere of public work and the set of relations that form in the system of production, distribution, exchange and consumption. The paper examines the digital, cyclical, environmental and regional aspects of a cyclical digital environmental regional economy. The digital direction of the economy uses digital twins and robots as assistants to improve its quality, productivity and efficiency. The cyclical economy uses savings and profits to boost its competition and development. The environmental direction of the economy maintains the viability of the environment. The regional economy increases diversification and capacity of local production and preserves the environment in its territory regardless of the type of economic activity. Cyclical aspects of the economy of self-sufficiency mainly concern the financial round-up, and the closed reproduction cycle. Business models of cyclic reproduction realize its economic self-sufficiency. At present, Russia, China, the United States and EU integration education have achieved the optimal level of national economic self-sufficiency. Russia, the United States, and the EU have the necessary financial and human resources. At the same time, China, with excessive human resources, is pursuing a policy of expansion into developing and underdeveloped countries. The main reason for countries to abandon autarky policies in favor of globalization of research activities is the decline in profit levels. The reason for this situation lies in the availability of cheap labour and favourable economic conditions, and production in countries is therefore cheaper. The reason for globalization and the international division of labour lies in maximizing profits, and autarks in maximizing national production, i.e. self-sufficiency. The unity of the Autarky State must be ensured by the existence of economic, historical, cultural ties, as well as by national equilibrium.

The adoption of information and communication technology (ICT) tools and medium in today’s business, is geared to advance data processing tasks, timely exchange of data, easy access to the Internet at increased speed, extended memory to house large volumes of data, and better communications, etc. Businesses grow in lieu of advancing the services they offer; But, they require as a matter of urgency, a corresponding need for effective communication to grow exponentially. The Intranet provides an option to advance such via its many features (not limited to) collaborative communication channel, ease in business processes, etc. We posit that many businesses lack a clear strategy to implement an effective Intranet design. This often leads to investment profit loss, loss of time, unproductivity, and complete failure in achieving its set goals. Extending Ojugo and Eboka (2020) via a multi-service intranet, the study outcomes an infrastructure that allows the effective integration of data solutions via an open-source protocol, application, hardware, and software. Three common issues observed therein includes: packet loss, jitters, and latency. Jitters and packet loss can be resolved via increased bandwidth allocation; while, latency is minimized via upgrade in the infrastructure. Thus, our proposed solution seeks to provide users with mobility, resilience, economy, flexibility, and productivity with improved service delivery and performance. The study recommends that to harness the full benefits of Intranet and improve communication within businesses and organizations today, there is the need for a constant knowledge update is imperative, which will in turn improve effective communication in the implemented infrastructure.

The aim of this study is to predict 200.000 cases of Covid-19 in Spain. Covid-19 Spanish confirmed data obtained from Worldometer from 01 March 2020 – 17 April 2020. The data from 01 March 2020 – 10 April 2020 using to fitting with data from 11 April – 17 April 2020. For the evaluation of the forecasting accuracy measures, we use the mean absolute percentage error (MAPE). Based on the results of SutteARIMA fitting data, the accuracy of SutteARIMA for the period 11 April 2020 - 17 April 2020 is 0.61% and we forecast 20.000 confirmed cases of Spain by the WHO situation report day 90/91 which is 19 April 2020 / 20 April 2020.

The purpose of this research is to find out information about the effect of organizational culture, leader behaviors, job satisfaction, and justice on organizational commitment. In this study, school is considered as an organization. The study was carried out at Islamic Junior High Schools in the Mataram City, NTB. The data for this survey reseach were collected by using quesionnaires distributed to fifty-nine teachers as the samples. The data were analyzed statistically using path analysis.The results of the analyses shows that: (1) organizational culture has a positive direct effect on organizational commitment, (2) leader behaviors have a positive direct effect on organizational commitment, (3) job satisfaction has a positive direct effect on organizational commitment, and (4) justice has a positive direct effect on organizational commitment.

The traditional UAV aerial photography system has the disadvantages of unclear imaging, low system efficiency and poor flight control effect. Thus, a digital aerial photography system based on wireless sensor network is proposed. Firstly, the principle of aerial photography system is analyzed, and the wireless sensor network is set up. A large number of wireless sensor nodes are deployed in the interval, and functions such as wireless communication and calculation are completed by nodes; the SN-RN data acquisition layer, the RN-UAV relay transmission layer and the UAV-DC mobile aggregation layer are designed to form a wireless sensor network architecture, and the UAV digital aerial photography technology is combined to form the wireless sensor network. Experiments show that the medium error, maximum error and medium error limit of the digital aerial photography of the UAV are low, the total working time of the system is short, and the accuracy of the flight execution of the UAV is maintained between 93%-95%, and always stable. Therefore, the overall imaging effect of this method is better, the system work efficiency is higher, the system control effect is better, and it is more practical and advantageous.

The cold drawing process is one of the precise metal forming techniques which have attracted attention by many researchers with respect to the given properties such as potential for improvement of mechanical properties of the material, achieving of accurate dimensional tolerances and rise of quality at final surface so that different studies are conducted on properties of various materials in the course of analysis of its effect. Using cold drawing and also exertion of special heat treatment cycle in this investigation, initially the seamless steel tube Ck60 has been produced and then effect of cold drawing has been assessed on the mechanical properties and structure of steel. The production process of seamless steel tube includes two phases of cold drawing which was followed by surface reduction levels 15.1% and 13.7% respectively. In order to analyze mechanical properties, tensile test and hardness-testing was used and metallography test was also employed to observe the structure. The given results indicate that the seamless steel tube Ck60 produced by means of this production process has ultimate tensile strength (1021 MPa), yield strength (950 MPa) and elongation (9%). Moreover, the value of hardness mean was 312 for the final tube in Vickers Hardness Test. The images taken from optical microscopy also show that the final structure of tube is uniform and as perlite ferrite.

The process of the development of the world of digital technology has affected many areas. One of the central areas experiences penetration of digitization technology is in the area of health. One of the influences that add to the health field is medium with a large number of emerging health applications that can be easily accessed via a smartphone or tablet device. For example, in developed countries currently, examination process health the ear or hearing children have can be done using your smartphone. Through this tool, the doctor can diagnose the infection and prepare the proper treatment for patients. Growing number of mobile applications in the health field will certainly ease the course of patient care. There are currently a lot of digital health applications. For that we researchers designed a program shaped application that can be run over the web and sms gateway, to monitor the health conditions of babies from a variety of disorders. The information disseminated through the web and sms gateway can be accessed easily by the mothers who are nurturing her baby, so that a mother will get the right information on how to care for a baby with healthy and avoid distractions endanger the health of infants. this application may be applied in health centers, posyandu, or hospital.