Exploring challenges of online learning in the context of Ba Ria – Vung Tau University by English Major students

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This study aims to find out challenges of English major students in conducting online learning at Ba Ria – Vung Tau University (BVU). The research results were found by analyzing quantitative data by introducing survey to 160 English major students; the qualitative data was summarized by 15 English major students and 10 teachers from the interview. The results revealed many difficulties by the evaluation and perception of both students and teachers. The aspect of support is the highest while the lowest belonged to the challenges in aspect of the environment. Meanwhile, the challenges in aspect of collaboration were at the second position and the third position is about students’ attitude towards online learning. About challenges relating to equipment, the result was at the fourth position. Additionally, further discussions and recommendations on challenges that English major students encountered during online learning were also proposed.

The Effect of Problem Solving Method on Learning Outcomes of Elementary School Students

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This study aims to determine the difference in learning outcomes using the Problem Solving approach with classes that do not use the Problem Solving approach. This research uses quantitative approach by using quasi experimental method. This type of research is Nonequivalent Control Group Design with two groups, namely control group/class and experimental group/class. Both groups were given different treatments. The samples in this study were all Class V SDK Golo Mongkok which amounted to 40 students and were divided into two classes. Data collection techniques in the form of tests (pretest and posttest). The research instrument used is a test question.  Data analysis used is Descriptive Statistics, Data Normality Test, Variance Homogeneity Test, Statistical Hypothesis. The results showed that the average learning outcomes of the experimental class were higher than the control class. Thus it can be concluded that the application of the problem solving method can improve student learning outcomes.

Pragmatic Analysis of Deception and Miscommunication in Saki’s’ The Open Window

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This research looks at how Saki, also known as H.H. Munro, uses Grice’s maxims to accomplish practical consequences in his short story “The Open Window.” The research investigates how meaning is created through speech and how violations of these principles lead to misconceptions using a pragmatic approach. The research examines how the story’s characters interact in accordance with or without respect to Grice’s four maxims—quality, quantity, manner, and relation —using a qualitative descriptive technique. The study’s questions explore Vera’s application of these aphorisms, the irony and misinterpretation resulting from Framton Nuttel’s presumptions regarding them, Munro’s potential social critique of Victorian communication conventions, and the narrative’s thematic implications of deception, manipulation, and social anxiety.  Thirty of Grice’s maxims are found in the story, which Vera disobeys to produce hilarious consequences. The conversation sheds light on how these broken rules lead to misunderstandings and manipulation while also providing an understanding of the story’s social setting and the intentions of the protagonists. This pragmatic approach highlights the significance of effective and transparent communication in interpersonal relationships while enhancing our comprehension of the story’s dynamics, comedy, and thematic depth.

The Influence of Dividend Policy and Company Size on Company Value with Profitability as a Moderating Variable in Listed Energy Sector Companies on the Indonesian Stock Exchange 2018-2022 Period

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This research aims to determine the effect of dividend policy and company size on company value with profitability as a moderating variable in energy sector companies listed on the BEI in 2018-2022. This research was conducted based on information obtained on the Indonesian Stock Exchange. The sampling technique for this research uses a purposive sampling method. The population in this study was 82 energy sector companies listed on the IDX in 2018-2022 and the sample used was 21 companies. The type of data used is secondary data and the data analysis technique is panel data regression and the Moderate Regression Analysis (MRA) test with analysis tools using Eviews 10 software. The results of this research show that dividend policy has no effect on company value and company size has a positive and significant effect on company value. Profitability is able to positively moderate (strengthen) of dividend policy on company value, while profitability is able to positively moderate (strengthen) the influence of company size on company value.

Determinants of Mental Health in Nigeria

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Mental health is a serious but grossly neglected issue in Nigeria. Not only has it suffered neglect in the health sector, but alternative practitioners are also getting more involved such as traditionalists, religious leaders, cultural leaders and older relatives of mental health patients. This has contributed to the worsening mental health status of the country. The aim of this review is to search the literature to identify recent determinants of mental health in Nigeria, categorize them based on the Dahlgren and Whitehead’s framework and analyse what have been done so far to implement interventions tailored towards these determinants. This should help policy makers make policies that will be effective in the local context and not just adopting policies from elsewhere when trying to salvage this problem.

Improving the Rehiring Process and Employee Retention at KC Coal Mining Company

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In Indonesia, the rehiring of retirement and new contract employees is governed by various labor laws and regulations. The primary legislation that covers employment matters in Indonesia is the Labor Law (Law No. 13 of 2003 concerning Manpower) and its implementing regulations. Article 35, paragraph (1) Retirement in Indonesia generally occurs when an employee reaches the mandatory retirement age, which is typically set at 55 years old. However, this age may vary based on certain circumstances and job positions. Employers are expected to provide retirement benefits to employees who are eligible for retirement. These benefits might include severance pay, pension plans, or other retirement-related benefits.

The rehiring of retired employees and new employees has gained prominence as organizations seek innovative strategies to address workforce challenges. This study investigates the motivations behind and advantages associated with retirees and new employees on a contract basis, focusing on a case study conducted within a coal mining company in Indonesia. The objective is to illuminate the drivers and benefits of rehiring retired personnel, shedding light on their impact on organizational performance and employee dynamics. Through qualitative and quantitative research methods, including questioner, interviews, and surveys, this study explores the reasons that prompt the reemployment of retirees and reemploying contract employees for a period of up to 5 years, examining factors such as their domain expertise, institutional knowledge, and the evolving nature of work. Moreover, the study assesses the tangible and intangible benefits of such rehiring practices, encompassing enhanced productivity, cost-effectiveness, mentorship opportunities, and knowledge transfer.

The case study approach provides contextual insights into the unique challenges and opportunities within the coal mining industry in Indonesia while also contributing to the broader discourse on talent management strategies. The findings contribute to a deeper understanding of the potential advantages and considerations associated with engaging retirees in the workforce, offering implications for human resource practices, organizational strategies, and the future of work dynamics.

Metacognitive Strategies Used in Comprehending Reading Academic Texts for Doctoral Students

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The importance of metacognitive strategies in achieving proficiency in second or foreign language reading is widely acknowledged. There is a growing interest in the reading of specialized academic literature in a second language. The objective of this study was to examine qualitatively the metacognitive strategies employed by students majoring in English Education during academic reading. Participants involved in this study was seven students in second-year of the Doctoral Program of Makassar State University. The metacognitive strategies employed by the participants were determined through the collection of data integrating journal entries. The results revealed the overall metacognitive strategies used in comprehending academic reading of doctoral students were activated prior knowledge, relating the text to their own experiences, determining the meaning of unfamiliar words, summarizing the information, determining the most important information and what is worth remembering. Only the strategies that were frequently cited by the participants were established or changed by them are addressed in the rest of the study, based on the theory of Flavell (1976).

The Impact of Kahoot! And Quizizz to Teach English Tenses for Flyers

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Mastering English tenses is crucial for A2 Flyers students, enabling them to expand their language proficiency and excel in English examinations such as the Cambridge test. However, many schools and centers solely rely on traditional grammar-based teaching methods and paper exercises, resulting in student disinterest. To address this issue, educators must incorporate modern technological tools to cultivate students’ enthusiasm for learning tenses. Kahoot! and Quizizz present promising opportunities for both teachers and students. This research aims to investigate the effectiveness of using Kahoot! and Quizizz in teaching English tenses to Flyers. Participants in the study are A2 level students at Phuong Nam Language Center. Quantitative data was gathered through pre-test and post-test assessments, while qualitative data was obtained through questionnaires and semi-structured interviews. The test scores indicated a significant improvement in students’ academic performance, with the mean score increasing from 4.50 in the pre-test to 7.55 in the post-test, indicating notable progress. Moreover, the results highlighted the students’ heightened engagement during the teaching and learning process, particularly with the use of Kahoot! and Quizizz. Consequently, these quiz applications proved to be beneficial tools for teaching English tenses to Flyers.

Circular Economy Transformation in Chemical Industry: Integrating CRM and AI for Sustainable Growth

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This white paper explores the pivotal role of Customer Relationship Management (CRM) in the digital transformation journey of the chemical industry. As customer expectations continue to evolve and competition intensifies, chemical companies are turning to CRM solutions to enhance customer interactions, streamline operations, and drive business growth. The abstract provides an overview of CRM’s significance in the chemical sector, highlighting its role in customer segmentation, sales automation, marketing optimization, and customer service enhancement. By centralizing and optimizing customer-related processes, CRM enables chemical companies to deliver personalized experiences, improve sales productivity, and foster stronger customer relationships. Through a comprehensive examination of CRM implementations and potential applications in the chemical industry, this white paper aims to provide valuable insights for industry professionals seeking to leverage CRM to navigate the challenges and opportunities of the digital age.

A Comparison of Artificial Neural Network (ANN) and Long Short-Term Memory (LSTM) in River Water Quality Prediction

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River water is a crucial natural resource utilized for various purposes, including agriculture and drinking. Human activities such as mining, industrial discharge, and improper waste management contribute to river water pollution, affecting its quality and posing risks to human health. Monitoring and predicting river water quality are essential for effective management and pollution control. The research focuses on Dissolved Oxygen (DO), and comparing of Artificial Neural Network (ANN) and Long Short-Term Memory (LSTM) to developed prediction models. Evaluation of the models’ performance shows that the ANN model outperforms LSTM in predicting Dissolved Oxygen (DO) concentrations, achieving lower Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). Although LSTM exhibits lower Mean Squared Error (MSE), the ANN model demonstrates better accuracy in minimizing the average distance between predicted and actual values. The findings suggest that ANN-based models offer good performance in river water quality prediction, with potential for further enhancement through additional variables or model architecture adjustments.