Development E-Assessment Literacy Oriented Higher Order Thinking Skills (HOTS) on Thematic Learning to Measure Critical Thinking Skills of Primary School Students

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This research aims to develop E-Assessment Literacy Oriented Higher Order Thinking Skills (HOTS) which is expected to be able to measure students’ critical thinking skills. This research uses research methods according to ADDIE with five stages, namely Analisys, Design, Development, Implementation, Evaluation. The sampling technique used in this research is saturated sampling, the population of this study was class V students at SDN Berundung. The sample in this research was class V A students at SDN Berundung. The research results include the feasibility, practicality and effectiveness of the product. Product feasibility seen from the product validation results is classified as very valid, the language aspect shows an average of 0.800. The media aspect shows an average of 0.875. The test instrument was also validated by the validator as the research product showed an average of 0.650. The practicality of the product can be seen from the average percentage of educators’ responses of 90% with very practical interpretations, while student responses were 90% with very practical interpretations. The effectiveness of the product can be seen based on trial data carried out in class V of SDN Berundung. The research results prove that class V A is at stage post-test has the highest value of 90 and the lowest value of 80 with an average value of 84.58, and a standard deviation of 2.93. This shows that there is a significant influence on measuring critical thinking skills using E-Assessment literacy oriented HOTS.

Analysis of Stunting Incidents in Toddlers during the Covid-19 Pandemic at Community Health Centers Located in Banjarbaru, Indonesia

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Based on data from the Banjarbaru City electronic Nutrition Reporting Recording application, the highest cases of stunting toddlers at the Landasan Ulin Community Health Center were 131 people (19.8%) while children aged 0-23 months who were stunted were 72 people (19.7%) which still did not reach the national target of 14%. The purpose of this study was to analyze the risk factors associated with stunting incidence in terms of age, sex, Early Breastfeeding Initiation and exclusive breastfeeding. This research at the Landasan Ulin Community Health Center in Banjarbaru City used a cross sectional design. The population of this study was children aged 0-23 months. Determination of samples using systematic random sampling with a total of 165 children. Data were analyzed using Chi-Square and multivariate assays using multiple logistic regression tests. Based on the results of the analysis, children aged 0-23 months exposed to stunting amounted to 19.4%. The results of the Chi-Square test showed three variables that had a significant relationship with the incidence of child stunting, Early Breastfeeding Initiation and exclusive breastfeeding. The results of multiple logistic regression tests show that the most dominant factor related to the incidence of stunting in children aged 0-23 months is Early Breastfeeding Initiation. It is expected that there will be a regular increase in health promotion to breastfeeding mothers, direct visits to homes and socialization of the early initiation of breastfeeding procedures to relevant officers and the community.

Integer Solutions to Sextic Equation with Five Unknowns xy(x+y)=4(z+R)w^5

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This paper deals with the problem of finding non-zero distinct integer solutions to the non-homogeneous sextic equation with five  unknowns given by . xy(x+y)=4(z+R)w^5

 

The Role of Digital Marketing and New Students’ Trust to Opt for Darma Agung University

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This research aims to discuss the influence of digital marketing and the new students’s trust in the decision to opt for Darma Agung University (UDA) both directly and indirectly. The target population is new students class of 2023, with a sample of 290 people taken randomly. The primary data analysis technique applies a structural equation model (SEM) with the lisrel application program supported. The SEM uses the weight least squares estimation method. Digital marketing has a stronger influence on trust than on decisions to opt for. Trust influences decisions to opt. Trust mediates the influence of digital marketing on decisions to choose, but it’s partial. The Darma Agung University’s leaders should pay attention to social media.

Gas Compressibility Factor Prediction Using Machining Learning Algorithmic Protocol for Niger – Delta Gas Reservoir

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The gas compressibility factor also known as Z-factor plays an important role in obtaining thermodynamic properties of natural gas reservoir fluid property. Typically, empirical correlations and complex equation of state have been applied to determine this parameter in absence of laboratory measurements. However, high cost of running experimental measurement, poor performance and some limitations associated with these existing correlations have made the researchers to use intelligent models instead. Therefore, this study aimed at adopting support vector machine algorithm to forecast gas compressibility factor and to validate its performance with predictions from Artificial Neural network (ANN) and some existing correlations using statistical and performance plot analysis. A total of 519 data sets from Niger Delta was used in developing the model, out of it, 70 percent was used for training, 20 percent for testing and 10 percent for validation using MATLAB tool. From the statistical analysis result, it was observed that the new developed model did better than other existing methods with numerical value of 0.1997 rank, 0.0009 mean absolute error and 0.98 of coefficient of correlation using the test data. The cross plot of the support vector machine model gave the tightest cloud along 45o reference line. The residual (error) associated with the performance was impressive which was done to observe the distribution and the interval at which the error is minimal.

Some Solutions to Promote the Circular Economy toward Sustainable Development in Vietnam

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The recent global economic growth has reached many significant milestones, however, there is a problem with natural resources shortage and increasing environmental pollution. Circular economic development has become an international trend, especially when the world’s resources are increasingly exhausted, helping to solve the conflict between economic and environmental interests. In the context of international economic integration, Vietnam has signed a lot of new-generation free trade agreements (FTAs) with different countries and economic sectors, including commitments on environmental protection. Hence, adopting the circular economic model in Vietnam is inevitable to achieve sustainable development.

The Level of Development and Tax Revenues in the Association of Southeast Asian Nations

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In this study, three distinct panel models, namely the Pool Ordinary Least Square (OLS), Fixed Effect (FE), and Random Effect (RE) models, were utilized to investigate the impact of foreign direct investment, trade openness, inflation rate, proportion of value added in agriculture, proportion of value added in industry, civil liberties, political rights index, official development assistance, and human development index on tax revenue in the six ASEAN countries, namely Cambodia, Indonesia, Malaysia, the Philippines, Thailand, and Vietnam, over the period of 2005 to 2021. The FE model was deemed more appropriate than the Pooled OLS model, as indicated by the FE test. Furthermore, a Hausman test was conducted, which revealed that the FE model was more suitable than the RE model. Regarding the empirical findings of the fixed effects (FE) model, it was observed that four indicators, namely FDI, TRADE, INF, and HDI, exhibit a statistically positive correlation with tax revenue. This implies that an increase in these variables would facilitate the promotion of tax revenue. Conversely, two variables, ARG and CIVLIB, despite exhibiting statistically significant correlations with tax revenue, demonstrate negative effects. This leads to the conclusion that an increase in these indicators would result in a decline in tax revenue.

 

Process Mapping Analysis to Improve Scheduling Strategy for Exploration Well Drilling Investment in Proposal Phase

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The delay of accomplishing business process milestones in Exploration Function was an impact of organizational transformation that includes re-grouping of working area and manpower of multiple subsidiary entities into one region. Only two wells managed to be drilled out of six targeted wells. The bottleneck issue lies in the proposal phase of the exploration well drilling investment. Report documents, interviews, and focus group discussion are collected as data for this research. The root causes were found in several stages along proposal phase and coming from process, people, and data aspect. The qualitative analysis of this research applied process mapping analysis to understand the dependency of each task, and value-added – non-value-added activity analysis to define the importance of each task. The result is corrective actions proposed to cut time duration through several treatments towards specific processes. Sequentially, the quantitative analysis of this research applied that new process mapping and use the time of events on the following execution phase as the time limit to estimate the new time duration for each task. The managerial implication of this research is the generation of a metric for project scheduling.

A Study on Work Management Practices and its impact on Productivity: Moderating role of Sustainable Work Environment

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The concept of a Sustainable Work Environment (SWE) has garnered significant attention in recent times, as organizations strive to achieve higher levels of employee well-being and productivity. This paper aims to investigate the influence of SWE on work management and productivity, focusing on three primary objectives: a) understanding the factors contributing to a challenging SWE, b) identifying gaps in existing work environments that hinder performance, and c) comprehending employee perceptions of SWE and its impact on work management practices.

To accomplish the research objectives, a mixed-methods approach was employed, combining qualitative and quantitative data collection techniques. Firstly, an extensive review of the relevant literature was conducted, exploring the diverse factors influencing the creation of a challenging SWE (Objective a). This investigation revealed critical aspects such as work-life balance, organizational culture, leadership support, employee involvement, and physical workspace conditions as key determinants of SWE.

Subsequently, surveys will be employed to identify specific gaps in the current work environments that impede employee performance (Objective b). The research will highlight the crucial hindrances like inadequate resources, communication barriers, unclear job roles, and lack of employee recognition.

The study will also delve into understanding the employee perception of SWE and its effect on work management practices (Objective c). Through employee surveys and feedback, the research will explore more on how employees’ view their work environment impacting their motivation, job satisfaction, and overall work performance.

The outcomes of this research may have significant implications for organizations aiming to create a more sustainable and productive work environment. By addressing the identified factors contributing to a challenging SWE and recognizing existing gaps in work management, organizations can proactively design targeted interventions to foster a more supportive and conducive workplace. Cultivating a positive SWE and understanding employee perceptions will lead to greater job satisfaction, reduced turnover rates, and heightened productivity, ultimately driving organizational success.

Innovating Vietnamese Education in the Context of Industrial Revolution 4.0: A Systematic Review

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The rapid advancements in technology brought about by the Industrial Revolution 4.0 are driving the need for significant changes in education systems worldwide. In this comprehensive review, we have analyzed the effects of Industry 4.0 technologies on education and examined the challenges faced by the Vietnamese education system in embracing innovation. Our search of major databases has yielded 12 relevant studies conducted between 2015 and 2022. The findings reveal that technologies such as artificial intelligence, big data analytics, the Internet of Things, and mobile learning have transformative potential. However, Vietnamese education is currently lagging behind in terms of digital integration and innovation. Challenges exist in areas such as curriculum development, teaching methods, infrastructure, teacher preparedness, and management mechanisms. To address these challenges, we recommend reforms to learning objectives, contents, and methods, as well as the training of teachers in digital competencies. Additionally, upgrading facilities and equipment, decentralizing school governance, and fostering international cooperation are crucial steps. It is imperative for Vietnam to comprehensively prepare for Education 4.0 in order to enhance its human capital and competitiveness. Furthermore, further empirical studies are needed to explore the implementation of educational innovations.