The Description of Mathematics Problem Solving Skills Reviewed from The Learning Style in Students of Grade VI of SDN 44 Rampoang Palopo

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.

Analysis of the Development of Home Scale Machines in the Food and Beverage Industry

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.

Design and development of instant linear gel for coal bed methane gas operations

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. 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.

Short-term Forecasting of Cumulative Confirmed Covid-19 Cases Pandemic in Somalia

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.

Novel eco-friendly linear gel for oil well recovery through efficient hydrofracturing

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.

The Enhancement in Mastery Abilities of Geometric Transformation Formulas Through Play Lucky Card Technique on the Students of Class VIII-2 at SMP Negeri 3 Barru, Indonesia

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.

Improving the Ability of Implementing Fun-Based Learning Through Structured Clinical Supervision on Mathematics Teachers at SMA Negeri 1 Barru, Indonesia

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.

Reliable Data Acquisition System for a Low-Cost Accelerograph Applied to Structural Health Monitoring

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.

Nanotechnology for Mitigating Impact of COVID-19

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.

Prevalence and determinants of mental distress during COVID-19 outbreak in Bangladesh: evidence from an online survey

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.