The low activity of students in biology learning is the main challenge in efforts to improve the quality of science learning in secondary schools. This study aims to analyze the effectiveness of the application of the Project Based Learning learning model in increasing student activity and learning outcomes in respiratory system materials at SMA Negeri 2 Langowan. This research is a Class Action Research that is carried out in two cycles, each of which includes stages of planning, action, observation, and reflection. The subjects of the study were 13 students in grade XI. The instruments used include student activity observation sheets and the final test of the cycle based on description questions. The results showed that in the first cycle, only 38.46% of students achieved learning completeness with an average score of 60. However, after improving the strategy in cycle II through active mentoring, learning motivation, and strengthening group work, completeness increased to 92.30% with an average score of 84.69. These findings indicate that the Project Based Learning learning model is able to build student activeness through contextual, collaborative, and hands-on experience-based learning. The increase in activeness is reflected not only in test results, but also in students' active participation in discussions, group presentations, and project completion. The implications of this study show that Project Based Learning is feasible to be implemented as an innovative learning strategy to improve the quality of student interaction and engagement in biology learning on an ongoing basis.

This study aims to examine in-depth and comprehensively the various obstacles faced by elementary school students in understanding the concept of fractions. Fractions represent one of the key components in basic mathematics education and often pose a significant challenge for many students. Through a structured literature review and in-depth analysis of empirical data, this research seeks to clearly describe the various difficulties students encounter when learning and understanding fractions. Additionally, this study investigates the underlying factors contributing to these difficulties and offers a number of creative and effective instructional strategy recommendations to help students overcome these barriers. The findings indicate that the primary challenges hindering students' understanding include several critical aspects: weak comprehension of basic fraction concepts, difficulty in representing fractions both visually and symbolically, struggles with performing arithmetic operations involving fractions, and challenges in relating fraction concepts to real-life situations. A thorough understanding of these challenges is expected to serve as a crucial foundation for improving the quality of mathematics instruction at the elementary school level.
 
 

This article aims to understand the concept of energy sources from an early age in order to increase their awareness of energy use and conservation. However, science learning in elementary schools (SD) often faces problems in delivering complex and abstract materials. This study investigates various innovations in science learning, especially those related to energy sources. In this study, we review the literature on various creative methods for learning, including the use of game media, blended learning, and interactive game tools. The results show that the implementation of these innovations can improve students' desire to learn and their learning outcomes. Therefore, science learning at the elementary level can be assisted by the integration of technology and appropriate learning approaches.

This research aims to examine the learning methods and challenges faced by several students when solving mathematics problems regarding number patterns, with an emphasis on analyzing students' thinking processes. This study employs an approach to analyze students' ways of thinking. In this study, a qualitative approach is used with a case study method on a group of junior high school students. Information was collected through observations and analysis of students' work. The findings of the research indicate that students apply various strategies in understanding the material of number patterns, which include memorizing patterns to trying to find their own formulas. However, many students face difficulties in drawing conclusions about patterns and connecting relevant mathematical concepts to everyday life. Common mistakes include errors in recognizing patterns, errors in calculations, and a lack of precision in understanding problems. Analysis of the thinking process shows that some students are still at the concrete operational thinking level, so they need visual aids and real-life examples to better understand patterns. This research emphasizes the need for an approach in teaching that can enhance students' abstract thinking abilities and requires varied practice in determining numerical pattern problems.
 
 

This research aims to explore the ways in which teachers address the challenges of learning mathematics for children in primary schools by referring to behavioristic theory. This theory emphasizes the central role of stimuli and reactions in influencing learning behavior, and the application of both positive and negative reinforcement to improve students' motivation and understanding. The approach adopted was a descriptive qualitative method using case studies in various primary schools. The results indicated that behavior-focused methods, such as providing repeated practice of problems, immediate feedback, use of concrete tools, and regular application of rewards and punishments, can improve students' enthusiasm and mathematics learning outcomes. However, teacher-driven learning and lack of innovation are barriers to implementation. Therefore, a combination with other methods is needed to make the learning process more thorough.

This study is a mini literature review aimed at exploring the use of the Math Master software in enhancing students’ computational thinking skills. Computational thinking is a crucial 21st-century skill, particularly in technology-based mathematics learning. This article reviews several relevant studies that discuss the use of educational software, specifically Math Master, in helping students solve mathematical problems systematically, logically, and efficiently. The review findings indicate that Math Master can serve as an interactive tool that supports conceptual understanding and encourages algorithmic thinking among students.

This research focuses on the development of contextual-based interactive learning media to improve mastery of reaction rate concepts and develop the character of high school students in remote areas. This learning media was developed to provide learning experiences that are relevant to everyday life, therefore the concepts of reaction rate are simpler to understand and apply in students. In addition, this contextual approach also aims to encourage character development, such as responsibility, discipline, creativity, curiosity, and communicativeness during the learning process. A literature review was conducted to gather articles relevant to this topic, with a published time frame of 2018 - 2025. The review shows that this media significantly helps students in understanding the concept of learning material, critical thinking, as well as strengthening positive character aspects that support learning success. This research concludes that contextual-based interactive learning can be an efficient option in the science learning process in high school.

Indonesia is renowned for its abundant and diserve natural resources, including various plants. Many medicinal plants are traditionally utilized due to their therapeutic benefits. The utilization of minnieroot leaves as a traditional medicine shuld be supported by comprehensive studies to identify the active compounds, thereby omproving their quality, safety and afficacy. Secondary metabolites in minnieroot, particularly in the leaves, contain polyphenolic compounds, while the roots are known to contain flavonoids. This study aims to identify secondary metabolite compounds in minnieroot (Reullia tuberosa L.) leafs methanol extract. The study utilized methanol as a solvent for the extract solution became colorless, resulting in a extract yield of 8,02% of the leaf’s weight. The qualitative test confirmed the presence of secondary matebolites, specifically flavonoids and tannin in the methanol extract of minnieroot leaves. The final result from column chromatography separation  shows that crystals are formed in the sixth vial. The crystals areb brownish blackn in color and weigh 0, 1235 g.

This article aims to explore the opportunities of optimizing Artificial Intelligence (AI) in supporting adaptive, inclusive, and innovative learning in the Society 5.0 era. With its potential to revolutionize education through content personalization, responsive learning, and administrative efficiency, AI is the key to future education transformation. The research approach is qualitative through literature analysis and case studies, covering the implementation of AI in adaptive learning, educational chatbots, and virtual reality technology. The researcher's review of several studies revealed that AI not only eases the administrative burden on teachers, but also provides individually tailored learning plans and improves students' digital literacy. However, the integration of AI in education faces challenges such as resistance to change and disparities in access to technology. To overcome these challenges, the development of inclusive policies as well as AI-based training for educators is recommended, thus ensuring the ethical and effective application of technology, in line with the humanistic and future-oriented vision of Society 5.0.

Improving the quality of Human Resources (HR) is a major challenge in facing global competition. Education as the main means of improving the quality of HR in Indonesia is still faced with the problem of inequality of access and quality between regions. This inequality causes disparities in educational development between urban and remote areas. This study focuses on grouping provinces in Indonesia based on aspects of educational development in 2023, using cluster analysis. Secondary data from the Central Statistics Agency (BPS) is used as the basis for analysis, including variables of average length of schooling, Gross Participation Rate (APK), Pure Participation Rate (APM), number of senior high schools, and community literacy development index. This study uses hierarchical and non-hierarchical cluster analysis methods to group provinces in Indonesia. The results of the hierarchical cluster analysis using the average linkage method show the most optimal cluster with the formation of three clusters. The first cluster consists of 31 provinces, the second cluster consists of 2 provinces, and the third cluster consists of 1 province. Data characteristics show large variations in the number of senior high schools and relative homogeneity in the average length of schooling between provinces.