Teacher learning communities are regarded as essential means to improve education quality through collaboration and professional development. However, implementation within formal school contexts faces challenges, such as time constraints, limited structural support, and low awareness of the benefits of learning communities. This study aims to explore the effectiveness of learning communities in enhancing teacher quality in schools and to identify factors influencing teacher participation. The research method employed is a literature review, encompassing analysis of 25 articles from various relevant academic journals. Thematic analysis highlights key topics, including effectiveness, challenges, and opportunities for the development of learning communities. Findings indicate that learning communities have a positive role in enhancing teacher competence and work motivation. However, significant obstacles remain, such as lack of support from school management and limited understanding. The study also emphasizes the potential for digital technology-based learning communities, which could increase teacher participation by providing more flexible access. This study concludes that stronger policy support and further research are needed to address implementation barriers and maximize the potential of learning communities to enhance teaching quality in schools.

The development of technology in the world at this time is very influential and has an impact on education. Therefore, interactive learning media is needed with the aim of attracting the attention of students. The purpose of this research is (1) Producing learning media in the form of board games with three-dimensional material for students 12th Grade SMA Negeri 51 Jakarta. (2) Knowing the effectiveness of learning media for students 12th Grade SMA Negeri 51 Jakarta. The research method used is the model ADDIE (Analysis, Design, Development, Implementation, Evaluate). because the research method with the ADDIE model has systematic and specific steps in each stage

This research uses the Polya problem-solving procedure to describe students' difficulty in problem-solving in the material about systems of linear equations in two variables. The method in this research is descriptive research. The subjects in this research were three students in Class VIII of SMP Negeri 6 Tondano. The data analysis techniques used are data presentation, data reduction and conclusion. The results of this research show that of the four stages of Polya problem solving, students who have the highest scores can fulfil all stages of Polya problem solving, students who have medium scores can fulfil three stages of Polya problem solving, and students who have high scores can fulfil two stages of Polya problem-solving.

Market Basket Analysis (MBA) is an analytical technique used to identify relationships between items in purchasing transactions. This notebook uses retail transaction datasets and the Apriori algorithm to discover hidden associations and patterns that retailers can leverage in optimizing marketing strategies, store layouts, and product recommendations. Through initial data processing, data exploration, and application of the Apriori algorithm, this analysis succeeded in identifying various significant associations between items that are frequently purchased together. The results provide valuable insights for retailers to develop targeted promotions and improve customer shopping experiences, while emphasizing the importance of selecting the right parameters to obtain accurate and relevant results.

In everyday life, three-dimensional shapes are ubiquitous, manifesting in structures such as houses, bottles, and vehicles. These shapes, characterized by length, width, and height, represent the application of functions of two variables, particularly within spatial domains. This research employs Python programming to model functions of two variables, specifically focusing on spatial surfaces. Leveraging the Matplotlib module, graphical representations of these functions are generated, while the NumPy module facilitates mathematical analyses, including identifying extremal values, critical points, and tangent lines. Results demonstrate the efficacy of Python in efficiently modeling functions of two variables. Through this approach, readers gain insights into the inherent characteristics and behaviors of such functions within spatial contexts, thereby simplifying mathematical analyses and enhancing comprehension.

Moss plants (Bryophyta) are bioindicators of environmental pollution. Identification of moss plant diversity has never been carried out at Medan State University. The research design used to obtain field data is by using the exploratory method. Sampling was purposive sampling in the humid environment around Medan State University, especially in parts that have lots of trees. The results obtained in this study show that there are two types of moss plants, namely leaf moss and liverworts. There are three species of leaf moss found, namely, Sphagnum moss, Entondon seductrix, Andreaea rupestris while the liver moss found is the Bozzania trilobata species.

The solutions of limit problems is one of fundamental concepts in real analysis, applicable in various fields of mathematics and other sciences. However, determining limit can sometimes present challenges, particularly when the fuction in question is complex and difficult to solve manually. This study demostrates the use of MATLAB as a tool to assist in solving such problems numerically. The findings show that MATLAB is realible in calculating the limits of specific fuctions, offering accurate solutions more efficiently and quickly compared to manual methods.

This research studies the application of the nth order Runge-kutta method as a numerical solution to ordinary differential equations. This method was chosen because it is able to provide high accuracy and flexibility in various PDB problems. We implement the nth-order Runge-Kutta algorithm in MATLAB and compare with other numerical methods, such as Euler's method. The results show that the nth order Runge-Kutta method is able to produce more accurate solutions, especially for nonlinear systems. This research makes a significant contribution to the development of numerical solutions for PDB and shows the potential of MATLAB as an effective tool for numerical simulation. Sensitivity analyzes of parameters and time steps were also performed to understand the impact of variations on stability and convergence.

Engineering is a science that studies the skills of creating tools and processing methods to perform various human tasks. Education is the conscious effort to prepare students for future tasks through teaching, learning and/or training. Character is a set of qualities that are always admired as a sign of a person's goodness, virtue and moral maturity. The purpose of this research is to conduct a literature review, ie. to find out the importance of technology in the development of a student's character. The method used is the Systematic Literature Review (SLR) strategy. SLR is a research method that aims to systematically identify, examine and interpret information obtained from journals at certain stages. The research results show that the integration of technology into education not only supports the learning process, but also plays an important role in the development of the student's character. Technology-based education encourages students to think critically, collaborate and adapt to the rapid changes of the digital age. Therefore, technology is an important tool to develop students who are academically intelligent in accordance with the values of Pancasila, but also with strong character and noble morals.

The research was conducted based on the problem of students in class XI TITL 2 SMK N 5 Surabaya This research aims to improve student learning outcomes by using differentiated learning based on student learning styles with differentiated content aspects. This research uses the PTK (Classroom Action Research) method with a quantitative approach and data collection techniques using diagnostic assessments (prestest) and summative assessments (posttest). The results of research using differentiated learning based on students' learning styles with differentiated content aspects show that there is an increase in learning outcomes which can be seen from pre-cycle activities with the percentage of learning completeness increasing from 18% to 43% in cycle I, then increasing to 78% in cycle II. From these results it can be concluded that research using differentiated learning based on students' learning styles based on differentiated content aspects has succeeded in improving the learning outcomes of class XI TITL 2 SMK N 5 Surabaya in mathematics lessons simple linear regression analysis material.