The Effectiveness of Project-Based Learning Model on Critical Thinking Skills in Grade IV Elementary School on Fraction Number Material in Bantul District

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Project Based Learning is one of the learning models that provides space for students to explore knowledge. The purpose of this research is to find the effectiveness of Project Based Learning (PjBL) on the development of critical thinking skills on fractional number material. The method used is mixed method (qualitative and quantitative) with the research objective to identify the effectiveness of the PjBL model on critical thinking skills. Data collection by questionnaire and document analysis Skills measured based on 5 aspects of critical thinking skills consisting of 12 indicators. This research was conducted in grade IV elementary schools in Bantul district. Data collection by test The results showed that critical thinking skills were obtained at 97.1% with very good criteria. It can be concluded that students have very good critical thinking skills development.

Infant Growth Pattern Aged 0-6 Months in Low Birth Weight Babies with Normal Birth Weight Babies in Kendari City

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Background: This study aims to determine the differences in growth patterns of babies aged 0-6 months with a history of Low Birth Weight (LBW) and Normal Birth Weight (NBW) at the Kendari City Regional General Hospital.

Method: This type of research is observational research with a retrospective cohort research design. The sample in this study was 72 newborn babies who were divided into 2 groups, namely LBW and LBW babies. Data analysis uses non-parametric tests, namely the Maan Withney test.

Results: The results of this study stated that the growth pattern of babies aged 0-6 months with a history of low birth weight in Kendari city hospitals was mostly in the normal category. The growth pattern of babies aged 0-6 months with a history of normal birth weight at Kendari City Hospital is mostly in the normal category.

Conclusion: There is a difference in the growth pattern of LBW and LBW babies (p=0.001). There is a difference in the time to achieve normal growth. The median time to achieve normal growth for LBW babies is 5 months, while for LBW babies it is 1 month.

From Crisis to Opportunity: Innovation Strategies for Business Survival and Growth in MSMEs Post COVID-19 – A Case Study of Tent Rental in Semarang

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This study examines how Micro, Small, and Medium Enterprises (MSMEs) adapted to the post-COVID-19 landscape to boost sales and ensure business continuity, focusing on Persewaan Tenda dan Alat Pesta Al-Hadi, a tent and party equipment rental business in Semarang, Indonesia. Using a descriptive qualitative case study approach, the research highlights key strategies that enabled the business to overcome pandemic challenges. Specifically, service, process, and product innovations played crucial roles in its recovery. Service innovation included leveraging social media for brand visibility and offering promotions like free shipping. Meanwhile, process innovation involved restructuring the family business for greater efficiency. Additionally, product innovation focused on improving equipment quality to ensure customer satisfaction. Ultimately, these innovations were pivotal in driving growth, underscoring the importance of adaptive strategies and innovation for MSMEs in a post-crisis economy.

The Use of Chat GPT for the Assessment of the Tourism Industry in the Island of Crete, Greece: A SWOT Analysis

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Artificial intelligence and the language model Chat GPT have increasing uses in several sectors including the tourism industry. The island of Crete, Greece is a popular global tourism destination with a flourishing tourism industry. Chat GPT has been used for the assessment of the island’s tourism industry according to SWOT methodology. The responses of the abovementioned language model regarding the strengths, weaknesses, opportunities and threats of tourism industry in Crete have been analyzed and it was found that they were adequate and satisfactory. Chat GPT has identified the internal advantages and vulnerabilities of tourism industry in the island as well as the opportunities and risks imposed by the external environment. The results given by Chat GPT were in accordance with the views of tourism experts and tourism stakeholders indicating that artificial intelligence can be used supplementarily to human analysis in the tourism sector. The results of the current study and the responses of Chat GPT can be used by policy makers and tourism stakeholders in Crete for the development of rational and effective policies regarding the future of the local tourism industry.

Characteristics of Sheep Farmers in Gucialit Village Based on Age, Education Level, Livestock Farming Experience and Number of Livestock Raised

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Local sheep farming in Indonesia, especially in rural areas, is essential in supporting food security and improving the community’s economy. Sheep not only provide a source of animal protein but also contribute to farmers’ income. This study aims to identify the characteristics of sheep farmers in Gucialit Village, Lumajang Regency, East Java, which has excellent potential for developing the livestock sector. The method used is a case study with primary data collection through direct observation and farmer interviews. Samples were taken using incidental sampling techniques. The results showed that most farmers were aged between 41-60 years (51.25%), with the participation of the younger generation (21-40 years) reaching 35%. However, farmers’ education level is still low; 51.25% only have elementary school education. Livestock farming experience varies, where 42.5% of respondents have 11-20 years of experience. Most farmers keep 6-10 sheep (45%), reflecting the scale of small to medium businesses. This study found that despite challenges in adopting modern technology, the regeneration of young farmers and the experience of older farmers can complement each other to improve livestock practices. The conclusion of this study emphasizes the importance of improving education, training, and management development to increase the productivity and sustainability of sheep farming businesses in Gucialit Village. The integration of older farmers’ experience and innovation from the younger generation is expected to create more efficient and sustainable farming practices.

Development of Ibu Kota Nusantara: The Threat of Mechanical Solidarity to Indigenous Communities

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The development of the Ibu Kota Nusantara gave rise to the degradation of mechanical solidarity in indigenous communities. This article aims to examine the threat of mechanical solidarity that occurs in indigenous communities as a result of the development of the Ibu Kota Nusantara. The consequences of this threat must be recognized by various parties. This is important to provide space for existence, especially for local indigenous communities. The use of qualitative methods of the phenomenological type is the basis for the line of thought in this paper, where data is obtained through an observation process; interview; and document study. The data obtained was then analyzed using phenomenological analysis techniques. Based on Emile Durkheim’s theory of mechanical solidarity, the results show that indications of threat have clearly occurred as a result of IKN development. Threats to mechanical solidarity occur starting from land conversion which results in a crisis of local community identity and disintegration and leads to marginalization of local communities.

A Model of Design and Implementation Micro-credentials in TVET: A Promising and Flexible Pathway to Employment and Skill Development

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The article explores the increasing importance of micro-credentials in Vocational Education and Training (VET) as an innovative response to the rapidly changing demands of the job market. Micro-credentials are defined as short, focused educational programs that provide learners with specific skills or competencies. Unlike traditional qualifications, which often require extensive time and cover a broad range of topics, micro-credentials offer a more streamlined pathways approach to education, addressing targeted skills directly relevant to industry needs. The article emphasizes the benefits of micro-credentials, which include improved employability, personalized learning experiences, cost-effectiveness, and enhanced support for lifelong learning. These benefits make micro-credentials particularly attractive in industries where specialized skills are highly valued. The growing recognition of micro-credentials among employers underscores their increasing relevance as a means to bridge the gap between education and workforce requirements. The methodology presented in the article is grounded in secondary data analysis. This approach serves as a foundation for the development of a unique, personalized model designed by the author. The model specifically addresses the integration of micro-credentials into TVET, with a focus on technical programs. The model aims to align TVET offerings with labor market demands, taking into account the skills gaps and trends identified through data analysis. By employing existing research and insights, the author has crafted a framework that emphasizes practicality and relevance in meeting workforce needs. The findings highlight the transformative potential of micro-credentials in fostering skill acquisition and professional development. These programs are shown to provide a flexible and targeted learning approach, effectively addressing the specific competencies required by modern industries. The author’s model demonstrates how micro-credentials can be seamlessly integrated into TVET programs, offering tailored solutions for addressing workforce challenges. The increasing acceptance of micro-credentials by employers further validates their relevance as an essential component of modern education systems. In conclusion, the article advocates for the integration of micro-credentials into TVET systems as a strategic approach to enhancing workforce readiness and adaptability. By offering a practical, cost-effective, and flexible pathway to skills development, micro-credentials bridge the gap between education and employment. The proposed model provides a robust framework for incorporating micro-credentials into technical programs, ensuring alignment with industry requirements and fostering lifelong learning opportunities. This integration represents a vital step in addressing the dynamic needs of the labor market.

The Model “SMART”- an Innovation for Achieving Future Success in TVET Students: An Empirical study

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The “SMART” school innovation project represents a significant advancement in addressing the challenges faced by students in technical vocational education and training (TVET) programs, particularly concerning their mathematical proficiency. Recent analyses of state matriculation exam results have highlighted a troubling decline in mathematics achievement among students, which poses a substantial barrier to their academic and professional success in TVET learning classes. In response to this issue, the SMART project has been designed to enhance students’ academic performance while cultivating a more inclusive and engaging learning environment. At the core of the SMART project is a differentiated instruction approach to those groups’ students according to their mathematical abilities. This method allows educators to tailor their teaching strategies to meet the diverse needs of students, ensuring that both advanced learners and those struggling with foundational concepts receive appropriate support. By creating specific groups- advanced, intermediate, and those with significant gaps—and regrouping students from different professions into new classes, the project enables targeted interventions that address individual learning needs. This approach allows for simultaneous instruction in mathematics across all new mixed-profession classes, enabling personalized support due to the equal curriculum and equal allocation of hours. This structured grouping not only helps in identifying and addressing knowledge deficits but also promotes a collaborative learning atmosphere where students can thrive. The project emphasizes the importance of regular progress monitoring, with systematic evaluations conducted every two months. This ongoing assessment enables educators to make timely adjustments to teaching strategies and group placements, ensuring that students are continuously challenged and supported. Furthermore, the project incorporates innovative and interactive teaching methods designed to engage students actively in the learning process, moving away from traditional, monotonous approaches. By establishing a comprehensive framework for educational improvement, the project not only seeks to elevate students’ proficiency in mathematics but also aims to create a holistic approach to learning that prioritizes the diverse needs of all learners. The SMART project is poised to make a lasting impact on the educational landscape, equipping students with the necessary skills and confidence to excel in their future studies and professional endeavors. By addressing the root causes of low mathematics achievement and fostering a supportive learning environment, the project aims to prepare students for the challenges they will face in both their academic and career paths.

Mastering Business Leadership: The Value of an MBA in Today’s World

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The Master of Business Administration (MBA) is widely recognized as a gateway to leadership and career excellence. This qualification fosters a unique blend of strategic thinking, analytical capabilities, and entrepreneurial insight, enabling professionals to navigate complex business challenges. In a rapidly evolving global economy, the MBA offers not just theoretical knowledge but practical expertise, providing graduates with a competitive edge in diverse industries. This article delves into the value of an MBA, exploring its financial returns, career advantages, and transformative role in leadership development. With data-supported visuals such as bar charts, pie charts, and line graphs, the discussion highlights trends in program costs, industry placement, and enrollment shifts from traditional to online formats. While acknowledging challenges such as high tuition and market saturation, this research emphasizes the enduring relevance and adaptability of the MBA in meeting modern business demands.

An Advanced Machine Learning Approach for Enhanced Diabetes Prediction

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 Diabetes is a chronic health condition affecting millions globally, causing severe complications and burdening healthcare systems. Current machine learning methods for diabetes prediction face challenges such as data imbalance, limited generalizability, and computational inefficiency. This study proposes a novel method that combines K-Nearest Neighbors (KNN), clustering techniques, Synthetic Minority Over- sampling Technique (SMOTE), and Random Forest for outcome classification to address these issues. The PIMA Indian Diabetes Dataset was used to evaluate the approach, achieving accuracy of 87.50%. However, the study has limitations, such as dependency on specific datasets and computational complexity. Future work will focus on validating the method across diverse datasets, optimizing computational efficiency, and developing real-time prediction capabilities.