Workplace Learning and Collaborative Learning: Insights and Applications in Azerbaijan’s Education System

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This article explores the significance of workplace learning and collaborative learning, focusing on their applications within Azerbaijan’s education system. By analyzing global best practices and local contexts, the article identifies key strategies to enhance the professional development of educators and students. Workplace learning is examined as a mechanism for continuous professional growth through structured and unstructured experiences in educational settings. Collaborative learning is discussed as a dynamic process that enhances critical thinking, teamwork, and adaptability among students and educators alike. Findings emphasize the integration of collaborative methodologies into workplace environments, fostering innovation and adaptability in educational practices. The article also highlights the challenges that hinder the full implementation of these methods, including cultural barriers, resource limitations, and policy gaps. Actionable solutions, such as infrastructure development, targeted training programs, and cultural shifts toward teamwork, are proposed. These insights aim to contribute to the ongoing educational reforms in Azerbaijan, providing a roadmap for fostering a more inclusive and effective learning ecosystem.

Quantitative Analysis of Inventory Record Inaccuracy (IRI): A Case Study on Warehouse Stock Discrepancies

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Inventory Record Inaccuracy (IRI) presents critical challenges to warehouse operations by causing inefficiencies, financial losses, and diminished stakeholder trust. This study examines IRI at XYZ Warehouse through the analysis of Gross Variance and Net Variance, identifying a discrepancy rate of 0.53%, equivalent to 3,089 units or IDR 154,450,000 in potential financial losses. The findings emphasize the importance of accurate inventory management to mitigate these losses and improve operational efficiency. This study serves as a foundation for future research and interventions aimed at addressing IRI and its associated challenges.

A Sociological Perspective on Computer Science in Enhancing Workplace Efficiency: Implications for the Digital Economy and Nation Building

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This paper investigates the intersection of sociological perspectives and computer science in the workplace, emphasizing how technology adoption can enhance efficiency and contribute to the digital economy. Through a qualitative analysis of contemporary case studies, the paper highlights the social dynamics affecting technology integration and argues for a holistic approach considering cultural, organizational, and socioeconomic factors in national development strategies.

Adapting Deep-Learning in Early Yam Disease Detection Using Lenet-5 (Adam Optimizer) Convolutional Neural Network Architecture to Improve Productivity and Enhance Farmers Social Habits in the Digital Age

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The agriculture sector faces significant challenges due to diseases affecting crop yields, particularly in yam cultivation. This study explores the adaptation of deep learning techniques for early detection of yam diseases using a LeNet-5 Convolutional Neural Network (CNN) architecture optimized with the Adam optimizer. The fam sides considered are; Ardokola, Zing and Mutum Biu in Taraba State, Nigeria. By leveraging advanced image processing and machine learning methodologies, we aim to develop an effective diagnostic tool that empowers farmers to identify and manage diseases promptly, ultimately improving productivity. This research not only enhances the technological capabilities of farmers in the digital age but also promotes better agricultural practices, fostering social habits that encourage knowledge sharing and community engagement. The proposed system is tested on a comprehensive dataset of yam leaf images, demonstrating its ability to accurately detect various disease conditions at 17.84%. Results indicate a significant improvement in recognition accuracy, suggesting that the integration of AI-driven solutions can transform disease management approaches in yam farming, contributing to sustainable agricultural practices and improved livelihoods for farmers.

The Influence of Industrial Regulations, Strategic Alliances, and Market Competition on Perceived of Firm Performance (Case Study of a Private Construction Sector Companies in Balikpapan)

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Providing infrastructure is one of the fundamental sectors that must be realized in the context of economic development so that general prosperity can be achieved. In its implementation, the Government has determined projects that fall into the National Strategic Project (PSN) category, the aim of which is to meet basic needs and improve community welfare. Kalimantan Island in particular has 13 projects with a total investment value of Rp. 240.3 trillion. Funding for basic infrastructure and connectivity projects comes from the government, government-private partnerships, state-owned companies and the private sector. One of the main regulations is the public-private partnership (PPP) policy, which allows BUMN and private companies to work together in developing strategic projects. Poor governance in state-owned enterprises hinders effective collaboration with private companies in the Balikpapan construction sector, primarily through capability, resource and politicization gaps that affect industry regulations, market competition and strategic alliances. This research uses a survey method to collect data using a questionnaire. Sampling was carried out using a non-probability method with a purposive sampling approach. The sample in this study consisted of 31 respondents who were company representatives or directors or top managers of private companies in Balikpapan City which formed alliances with other private companies when participating in National Strategic Projects. This research uses SEM-PLS with the SmartPLS 3.0 application tool. Based on the results of this study and the discussion that has been carried out, the following conclusions can be drawn: Industry regulation affects financial performance, industry regulation affects customer performance, industry regulation affects business process performance, industry regulation affects learning and growth performance, strategic alliance affects financial performance, strategic alliance affects customer performance, strategic alliance affects business process performance, strategic alliance affects learning and growth performance, market competition affects financial performance, market competition affects customer performance, market competition affects business process performance, market competition affects learning and growth performance, and overall that industry regulation, strategic alliance, and market competition have significant influence on perceived performance of private companies in Balikpapan construction sector.

Development of Mathematics Learning Tools Using Hopscotch Games to Enhance Students’ Creative Thinking in the Topic of Plane Figures’ Area

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The creative thinking ability of students in mathematics remains very low in practice. Creative thinking skills can be enhanced through contextual mathematics learning by connecting mathematics to everyday life, and one of its examples is the use of hopscotch games. However, in reality, there are no existing learning tools that incorporate games to improve students’ creative thinking skills. This study is a developmental research aimed at designing mathematics learning tools with hopscotch games on the topic of the area of plane figures, aligned with the Merdeka Curriculum. The development model used is the 4D model. Data collection techniques include observation, tests, and questionnaires. Validity is determined through the validation results of teaching modules, student worksheets and test packages. Practicality is assessed from observations on the implementation of the learning tools, while effectiveness is measured by learning mastery, N-Gain category, student response questionnaires, and statistical tests. The research results indicate that the developed learning tools meet the criteria of being valid, practical, and effective. The validity coefficients for the teaching module, student worksheets and test packages are 3.38, 3.31, and 3.43. The observation results for the implementation of the learning tools achieved a score of 3.83, categorized as high. The classical mastery percentage reached 76.5%, with 100% of students in at least the medium N-Gain category. Students’ responses were positive, and there was a significant influence of the implementation of mathematics learning tools with hopscotch games on improving students’ creative thinking skills. Therefore, these learning tools are deemed feasible and effective for enhancing students’ creative thinking abilities through hopscotch games.

Corporate Governance Framed by Local Culture: Ownership’s Power, Less-Independency Monitoring of Commissioners Board and Audit Committee

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This study aims to discuss the involvement of local cultural factors in corporate governance. The involvement of local cultural factors results in two phenomena: (1) controlling the power of owners and (2) reduced independence of the board of commissioners and audit committee in monitoring CEO and board performance. Design/methodology/approach – This qualitative study employs in-depth interviews and focus group discussions with respondents from five private and state-owned enterprises. Interviews and discussions were conducted with CEOs, commissioners, audit committee members, and owners. Findings – The study reveals (1) owners exert significant controlling power over CEOs and boards, influencing strategic decisions and distorting professional performance. (2) Non-interventionist owners utilize the board of commissioners and audit committee for indirect control, reducing independence. (3) Controlling power of ownership is more dominant in private enterprises than state-owned enterprises, reflecting Indonesia’s local culture, where CEOs and boards are perceived as “staff” accountable to owners. (4) Lack of independence among commissioners and audit committees is more prevalent in private enterprises due to cultural influences.

Application of Gross Motor Skills-Based and Conventional Learning Models to the Understanding of Mathematics Concepts in Grade 1 Elementary Schools in Karanganyar District

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This research focuses on the application of gross motor skills-based and conventional learning models to the understanding of mathematical concepts in grade 1 elementary school (SD). The purpose of the research is to describe which is better between gross motor skills-based learning and conventional learning on understanding the concept of mathematics in grade 1 elementary school. The study population was grade 1 elementary school students in Karanganyar district. Research sampling using randam sampling. Data retrieval techniques using tests. Data analysis using two-way Anava with unequal cells. The results showed that the Anava test of two-way unequal cells obtained data that FHitung (43.52)> FTabel (3.84) and the marginal mean of the gross motoric learning model 88.18 was greater than the conventional learning model which had an average of 74.51. The conclusion of the research is that there is a difference between the two learning models and the gross motor skills learning model is better than conventional learning on understanding the concept of mathematics in grade 1 SD.

On RBL-STEM Learning Activities: The Use of ANN Multi-Step Time Series Forecasting to Improve the Students Metacognition in Solving A Cryptocurency Volatility Based on the Fundamental, Technical and On-Chain Analysis

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Metacognitive skills refer to an individual’s ability to be aware of, manage, and evaluate their own thinking processes, supporting independent learning strategies and understanding. However, the low level of metacognitive skills highlights the need for further research, particularly on how to improve them. This study aims to enhance students’ metacognitive skills through a Research-Based Learning (RBL) approach and STEM learning activities by employing multi-step time-series forecasting techniques based on Artificial Neural Networks (ANN). The main focus is on designing learning activities that teach ANN Multi-Step Time Series Forecasting to address cryptocurrency volatility, analyzed using three main approaches: fundamental analysis, technical analysis, and on-chain analysis. By applying ANN to predict cryptocurrency price volatility, students are expected to better understand market dynamics and improve their decision-making abilities. The results show that RBL-STEM learning activities can be structured into six clear stages to utilize ANN Multi-Step Time Series Forecasting for improving students’ metacognitive skills in solving cryptocurrency volatility issues based on these analytical approaches.

Optimizing Policy for Online Seaman Book Services at the Class III Gorontalo Port Authority and Harbor Master’s Office

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This study aims to evaluate and analyze the development of online Seafarer Book services at the Port Authority and Syahbandar Class III Gorontalo Office, focusing on various aspects of public service theory indicators such as tangibles, empathy, reliability, responsiveness, and assurance. This research uses a qualitative approach with a case study design, focusing on implementing the online Seafarer Book service. Data is collected through interviews, observations, and document reviews from various stakeholders involved in providing services. The findings show that the online Sailor Book service has improved service efficiency but faces challenges regarding system reliability, user education, and infrastructure support. The study identifies key areas for improvement, including improving the reliability of online systems, better training for users in using the system and improving the physical and technical infrastructure to support services. The study concluded that while online Seafarer’s Book services have the potential to significantly improve seafarers’ documentation processes, ongoing improvements and adjustments are needed to address the challenges identified. Improving system reliability and user support is critical to the success of the online service model.