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Reading plays an important role in building a literate generation that is able to improve academic skills, broaden horizons and maintain local cultural identity. However, the low interest in reading in Indonesia, especially among students, is a big challenge. Internal factors, such as student motivation, and external factors, such as family and school support, are highly influential. Strategies such as reading for pleasure, edutainment and the School Literacy Movement are effective in fostering a reading culture as well as shaping students' characters, such as honesty, empathy and critical thinking. Challenges in implementation include limited reading materials, teacher training, technology support and collaboration with the community. Strategic steps, such as enrichment of reading materials, intensive teacher training and community involvement, are needed to overcome them. With good literacy, students can think critically, have character and contribute positively. This research uses a qualitative approach through a literature study to examine the importance of literacy culture.

This systematic review examines the effectiveness of antenatal classes in improving pregnant women's attitudes towards stunting prevention. The review analyzed 28 studies published between 2018 and 2023, focusing on developing countries, particularly in Southeast Asia. The methodology followed PRISMA guidelines, utilizing multiple academic databases. The analysis revealed that structured antenatal classes significantly improved maternal knowledge about stunting (68% increase in knowledge scores) and led to positive behavioral changes in nutritional practices. Regular attendance at comprehensive antenatal classes was associated with better pregnancy outcomes, with participants showing 75% higher rates of implementing recommended nutritional guidelines. Key success factors included regular class frequency, interactive teaching methods, cultural sensitivity, and strong community support. However, significant challenges were identified, including resource limitations, access barriers, and cultural resistance. The review highlighted successful adaptations such as hybrid learning models and community-based approaches. Recommendations include strengthening program design through evidence-based approaches, enhancing community engagement, developing sustainable funding mechanisms, and implementing robust monitoring systems. This review underscores the vital role of antenatal classes in stunting prevention while emphasizing the need for continued research to address existing challenges and enhance program effectiveness across diverse settings.

Islamic Religious Education (PAI) learning is not only aimed at improving students' knowledge, but also forming Islamic attitudes and behaviors according to religious values. This study aims to develop authentic assessments integrated into cooperative learning models in Islamic Religious Education (PAI) subjects in Elementary Schools by focusing on the material of Surah Al Alaq. Authentic assessments are used to assess students' cognitive, affective, and psychomotor aspects more comprehensively in a real-world context. This assessment is designed to improve students' understanding of Surah Al Alaq, which includes the content, values ​​of faith and knowledge, and the spirit of learning as contained in Surah Al Alaq. The research method used is a case study with a qualitative approach. The results of the study indicate that the use of authentic assessments in cooperative learning increases student participation, understanding of Islamic values, and cooperation skills. This study provides recommendations for educators to implement authentic assessment as an integral part of cooperative learning, especially in Al-Quran materials such as Surah Al-Alaq to create more meaningful learning in Islamic Religious Education subjects

Inappropriate learning models and lack of student interest and attention to physics learning result in unsatisfactory learning outcomes. The purpose of the study was to determine how the effect of Cooperative Learning model type Student Team Achievement Division (STAD) on student learning outcomes. The research method used is meta-analysis, data collection for this research by reviewing and browsing online articles. The results of the study found that the Student Team Achievement Division (STAD) type Cooperative learning model obtained an overall average effect size of 1.61, which means that the STAD type Cooperative learning model can influence student learning outcomes in Physics subjects. Learning material that is very influential in the application of the STAD type is Circular Motion as seen from the effect size value which is in the high category with a value of 8.81. The grade level that obtained a high category in applying the Student Team Achievement Division (STAD) type learning model was SMK class X with an effect size value of 2.2.

Hydroponic plant cultivation is booming, but stock and sales are hard to predict. Poor prediction can cause farmers to overstock and lose money. This study suggests a framework that uses several machine learning models, including Linear Regression (LR), Random Forest (RF), Decision Tree (DT), and Extreme Gradient Boosting. "Ensemble Learning," which combines these models, should yield more accurate and generalizable results than a single model. This framework is assessed using historical hydroponic plant sales data and related factors like price, weather, and market trends. The model's performance is measured by the difference between predictions and actual values using RMSE and MAE metrics. This framework should improve hydroponic plant stock and sales predictions. Farmers can make better production, inventory, and harvest distribution decisions. Besides reducing financial losses, this reduces food waste and improves food security.

Advances in information and communication technology have had a significant impact on the world of education, especially in improving the effectiveness and efficiency of the learning process. One technology that is often used is Microsoft PowerPoint as learning media. This study aims to analyze the effect of using PowerPoint media on student learning interest in Islamic Religious Education and Ethics subjects at SMKN 3 Solok City. This research uses a quantitative approach with a quasi-experimental method using a nonequivalent control group design. Data were collected through tests, questionnaires, and observations, and analyzed using normality, homogeneity, and t-test. The results showed that the use of PowerPoint media had a positive and significant effect on students' interest in learning. The experimental group that used PowerPoint had a higher level of interest in learning than the control group. This is due to the presentation of material that is more interactive, interesting, and systematic, so as to motivate students to be actively involved in the learning process. The t-test value shows that there is a significant difference between the experimental and control groups, with a t-count value of 5.384 (p < 0.05). This study concludes that PowerPoint learning media is effective in increasing students' interest in learning Islamic Religious Education and Ethics subjects. Hopefully, this finding can be a reference for educators in developing technology-based learning models that are more innovative and relevant to modern learning needs.

Cardiovascular disease is a leading cause of death globally, necessitating effective predictive systems. This research aims to analyze the effectiveness of various machine learning (ML) models—Logistic Regression (LR), Random Forest (RF), Naive Bayes (NB), Support Vector Classifier (SVC), and K-Nearest Neighbors (KNN)—in predicting heart disease using publicly available health data. The study involved pre-processing data, training models, and evaluating them using accuracy, precision, recall, F1-score, and G-Mean metrics. The results show that KNN is the most reliable model, with the highest accuracy of 92%. Significant health features were identified, such as chest pain type and maximum heart rate. The study contributes to improving clinical decision support systems by identifying optimal ML models for heart disease prediction.

Christian Religious Education (PAK) in the digital era faces great challenges as well as opportunities to develop through learning innovation. With a theological foundation such as Ephesians 2:10, this education does not only aim to develop cognitive aspects, but also to shape character oriented towards personal and spiritual transformation. PAK teachers are required to be inspirers who integrate faith values with innovative learning approaches, such as the utilisation of digital technology, the development of student-based learning models, and the application of creative methods, such as gamification and blended learning.However, this digital transformation is not without obstacles. In Palu City, geographical challenges, technological limitations, and diverse student backgrounds are important issues that need to be addressed. By implementing strategies such as teacher training, collaboration with churches, and contextualised curriculum development, PAK can adapt and be relevant to the times. This research uses a literature review to explore the concept and implementation of innovations in PAK, including improving teachers' skills in technology, learning management, and communication. The results show that a constructivism-based approach, which emphasises hands-on experience and active learning, can improve learning effectiveness. The synergy between technology, faith and local context is the key to the success of Christian education that is able to produce a generation with character and competence to face the digital era..    

This study aims to analyze the application of collaborative learning models in the digital era based on a literature review of 15 related journals. Collaborative learning, which involves social interaction between learners and utilization of digital technology, has great potential in improving student engagement, concept understanding, and 21st century skills. The analysis shows that technology-based collaborative learning, such as the use of Learning Management Systems (LMS), online platforms and other collaborative applications, is effective in improving learning quality. However, the implementation of this model also faces challenges related to technology access, digital literacy, and online learning management. In conclusion, collaborative learning model in the digital era can enrich learners' learning experience, provided it is supported by adequate infrastructure and training for educators. Technology-based collaborative learning has the potential to be a solution to create a more inclusive, interactive and competency-based education in the future.

The implementation of creative and innovative learning models based on Higher Order Thinking Skills (HOTS) in the digital era is a must in an effort to improve the quality of education that is relevant to the challenges of the times. This study aims to analyze the effectiveness of the implementation of creative and innovative learning models based on HOTS in the digital era and identify supporting and inhibiting factors in the process. This study uses a qualitative descriptive research method. Data collection was carried out using interview and observation guidelines. Data analysis was carried out in stages, data reduction, data presentation and drawing conclusions. The results of the study indicate that the creative and innovative learning mode approach based on HOTS is very important to improve students' critical and creative thinking skills, which are the main needs in facing the challenges of the 21st century.

The quality of education is one of the important issues that draws attention in various educational discussions in Indonesia. In educational organizations, as in any other organization, achieving good and effective organizational performance becomes the focus of education managers. The impacts of globalization, the development of science and technology, and modern learning models and methods are all contributing factors. This research refers to literature research. To obtain research data, the researcher collects, analyzes, and compiles sources from articles, books, and previous research papers on the application of strategic management in education. The researcher then supplements the strategic management data to improve the quality of education. Teachers and economic policy researchers have started meeting to discuss policy changes in management and how to respond to them. To achieve superior organizational performance, an organization must be able to compete in both human resources and finances. Both are crucial elements for an organization. The role of leadership is a key element in achieving this goal. Improving the quality of education in educational institutions, addressing global challenges, enhancing the quality of educational management, improving the quality of the learning process, improving the quality of human resources in education, as well as strategic management and operational management in building network management.

This study discusses the application of the cooperative learning model in improving students' ability to learn drama at Istiqlal Delitua Private High School. In this case, the cooperative learning model is one of the learning models used in drama learning because this model can encourage collaboration, improve social skills, and develop student creativity. This study also uses a qualitative descriptive method with data collection techniques in the form of observation, interviews, and documentation. The results of the study show that the application of the cooperative learning model significantly improves student engagement, drama script writing skills, and character acting skills. This model is also effective in creating an interactive and fun learning atmosphere, increasing student motivation, and building confidence in drama performances. This study also emphasizes the importance of teacher support and a conducive environment in implementing a cooperative learning model for drama learning.

This study aims to develop and implement Problem-Based Learning (PBL) and Project-Based Learning (PJBL) learning models in mathematics learning at SD Negeri No. 18 Bababulo, Majene Regency. The main objective of implementing these two models is to increase student involvement, as well as critical, analytical, and creative thinking skills in solving mathematical problems. The implementation procedure began with an introduction to the theme of the impact of plastic waste on the environment. Students were divided into six groups to discuss problems, develop project plans, and conduct observations. The results showed that students were actively involved, with significant increases in motivation and critical thinking skills. Enthusiasm was seen during discussions and presentations, although there were challenges related to self-confidence during presentations, which were overcome through practice from the teacher. The conclusion of this study states that the implementation of PBL and PJBL is effective in improving students' understanding of mathematical concepts and social skills. Suggested follow-ups include consistent implementation of both models and periodic evaluation to improve the quality of learning.

Every student has different learning needs. Students have the right to receive learning needs that are appropriate to their individual development. One of the learning models that supports students is differentiation learning. Differentiated learning is a pedagogical approach designed to meet diverse learning needs among students by adapting methods, materials and learning environments. This article discusses how differentiated learning can develop students' cognitive and social abilities in elementary schools. This type of research article uses a qualitative approach with a literature review method. This literature comes from research results limited to articles from the last 10 years.

This study presents an advanced approach to multi-class skin lesion classification by leveraging an ensemble model comprising the Inception-V3, ResNet-50, and VGG16 architectures. The classification task focuses on categorizing skin lesions into distinct classes, including Melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC), using the ISIC dataset, a comprehensive collection of dermoscopic images. In order to properly balance the dataset, the oversampling strategy is utilized, as some lesion types are underrepresented due to inherent imbalances in the dataset. By ensuring that the model is trained on a more representative dataset, this balancing improves the algorithm's capacity to categorize all lesion types properly and impartially. By combining the complementary features of ResNet-50, Inception-V3, and VGG16, the ensemble technique improves the overall classification performance. ResNet-50 is chosen for its deep feature extraction capabilities, which help capture fine details in lesion patterns. Inception-V3 is selected for its multi-scale processing, allowing it to effectively analyze lesions at varying resolutions and sizes. VGG16 is included due to its simple yet highly effective architecture for image classification tasks. The ensemble model with data augmentation significantly outperforms individual models in skin lesion classification for both the original and balanced ISIC datasets regarding accuracy, precision, recall, and F1-score. This method offers a robust solution for skin lesion classification, contributing to more accurate and reliable diagnostic tools in dermatology.

This research is based on the importance of learning realistic mathematics in mathematics. The purpose of this study is to determine the implementation of learning by using realistic mathematics learning models in improving the mathematical understanding of students of class VI MIN 2 Mataram City. PMR is a learning approach to mathematics that involves the reality and experience of students. In mathematics learning students are required to be more active in finding and finding solutions to a problem, so that learning that occurs will be centered on students. The research method used is a qualiative method for collecting data through observation, interviews and documents. The results showed that the application of realistic mathematics learning was effective in increasing students' mathematical understanding in the discovery of mathematical concepts through contextual learning and relevant to daily life. Thus, this research provides a significant involvement in understanding the role of PMR in increasing the mathematical understanding of students as well as part of an effective mathematical learning approach.

This research was conducted because researchers saw that PAI teachere still appilied conventional learning models during the Islamic religious education learning process. Researchers saw that many students did not play an active role during the question and answer session, and lacked the courage to express their opinions. during the learning process. The purpose of conducting this research is to find out whether there is an influence of implementing the Everyone Is Teacher Herr Active Learning Model on students' active learning in Islamic religious education at SMP N 1 Panti, Pasaman Regency. The type of research used by researchers is quasi-experimental research. The population of this research is all class VIII students, totaling 129 students. The technique used in sampling by researchers was odd semester UTS scores and then a normality test and homogeneity test were carried out and the samples were determined randomly. Data collection was carried out by researchers using a questionnaire, the analysis technique was carried out using the f-test and t-test. The results of the analysis using the f test in the experimental class had a value of 4.701 with a significance level of 0.040-0.005 so it could be concluded that there was an influence, while the results of the analysis using the t in the control class there is a t-hit value of 4.357> t-table 2.064 and a significance level of 0.000 0.05 and it can be concluded that there is differences in student activity.

The global clean water crisis is exacerbated by significant losses in water distribution networks (WDNs), resulting in inefficient use of both water and energy resources. Traditional methods of leak detection and pressure management often fail to address these inefficiencies, leading to substantial water wastage and high operational costs. This research aims to design a sustainable, smart water distribution system using advanced technologies such as Machine Learning (ML) for leak detection and automated pressure control. The system employs real-time monitoring through IoT sensors, which continuously gather data on water pressure, flow rates, and other critical parameters. This data is analyzed using various ML algorithms, including supervised and unsupervised learning models, to detect anomalies indicative of leaks. Additionally, the system integrates automated pressure control mechanisms that dynamically adjust pressure to prevent over-pressurization, reducing both water loss and energy consumption. By combining leak detection and pressure control, the proposed system offers a more efficient, sustainable solution to water resource management compared to traditional methods. The expected outcomes include a significant reduction in water loss, enhanced energy efficiency, and improved water service quality. However, the implementation of such a system in rural or small-town infrastructure faces challenges, including sensor maintenance, algorithm reliability, and regulatory issues. A cost-benefit analysis suggests that while the initial investment in smart technologies may be high, the long-term savings in water and energy costs outweigh these costs. This study underscores the potential of ML-based systems in enhancing water conservation, operational efficiency, and sustainability in water management.

This research is classroom action research that aims to improve learning outcomes in Natural and Social Sciences (IPAS). The topic is changing forms of energy in class IV-B students, SDN Pakis 01 Surabaya. The number of students in the class consists of 25. The data collection method used consists of observation, tests, and documentation. The learning model applied is problem-based learning (PBL). The research results show that the learning model Problem-Based Learning (PBL) can significantly improve student learning outcomes in science subjects. The pre-cycle results showed a completion rate of 32%; in cycle 1, it increased to 56%, and then in cycle 2, it increased to 80%. Implementation of learning models (problem-based learning) has succeeded in achieving the expected targets and can effectively improve student learning outcomes, especially in class IV-B at SDN Pakis 1 Surabaya in the 2024-2025 academic year. The learning model of problem-based learning (PBL) is also known for its effectiveness in building students' critical thinking skills so that it can help make the learning process easier.    

This study aims to analyze the effectiveness of STEM (Science, Technology, Engineering, and Mathematics)-based learning models in improving students' understanding of thermodynamic concepts. The research method used is a quasi-experimental with a pretest-posttest design. The subjects of the study were high school students who were divided into experimental and control classes. The results showed that the STEM approach can significantly improve students' conceptual understanding and problem-solving skills compared to conventional learning models. The implication of this study is the need for integration of the STEM approach in physics learning in order to improve the quality of education in the modern era.