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Early Childhood Education (PAUD) is a stage of education that plays a crucial role in maximizing children's cognitive, social-emotional, motor skills, and creativity growth at their peak developmental stage. Children aged three to six learn efficiently through play, hands-on exploration, and interaction with their surroundings. The purpose of this study was to evaluate the use of loose parts media based on natural materials as a means to stimulate creativity in early childhood at PAUD Pelita Mandiri Kertek. This study adopted a descriptive qualitative approach and utilized data collection techniques such as observation, in-depth interviews with teachers, and documentation of children's work. The main focus of this study was on the use of various natural materials, such as corn cobs, twigs, pebbles, and leaves, in play and learning activities. The results showed that loose parts media using natural materials can enhance children's creativity by improving problem-solving skills, strengthening verbal skills in expressing ideas and telling stories about their work, and supporting independent learning because children are actively involved in the educational process. The open-ended nature of the materials allows children to explore and express their ideas freely, thus creating a learning atmosphere full of creativity, innovation, and fun. The implications of this research indicate that the use of loose parts media based on natural materials can be an alternative learning method that is not only effective, but also economical and easy to implement to support the development of children's creativity, independence, and thinking skills, in line with the principles of child-centered learning.

This study aims to implement the Cooperative Integrated Reading and Composition (CIRC) learning model to improve collaboration skills and learning outcomes among phase E students in class X-3 at SMA Katolik 2 Kabanjahe in Catholic Religious Education. This research employed Classroom Action Research conducted in two cycles, consisting of planning, implementation, observation, and reflection stages. Data were collected through observation sheets, learning outcome tests, and documentation, then analyzed using descriptive qualitative analysis supported by process and learning achievement indicators. The findings showed that the implementation of the CIRC learning model improved across learning stages, including orientation from 87% to 95%, organization from 90% to 97%, concept introduction from 87% to 92%, publication from 93% to 98%, and reflection and reinforcement from 87% to 98%. Students’ collaboration skills also increased in each indicator, namely working productively from 75% to 88%, actively participating in problem solving from 82% to 88%, maintaining a balance between listening and speaking from 76% to 86%, appreciating group members’ contributions from 73% to 87%, and demonstrating responsibility as group members from 77% to 93%. Learning outcomes also improved, as shown by the increase in the proficient category from 27% to 77%, while the basic and developing categories decreased to 0% in cycle II. These results indicate that CIRC effectively enhances students’ active participation, collaboration, responsibility, and learning achievement. Therefore, CIRC is recommended as an alternative collaborative learning model for Catholic Religious Education, particularly in strengthening cooperative interaction and meaningful understanding of religious learning materials in classroom practice.

This community engagement program aimed to strengthen community empowerment through human resource development and employability skills training in West Java Indonesia. The program involved youth groups, unemployed individuals, women’s associations, and local community members who experienced limited access to professional training and workforce readiness opportunities. To address these challenges, participatory workshops, leadership training, career mentoring, and collaborative learning activities were implemented over a three-month period involving 65 participants. The findings demonstrated significant improvements in communication skills, teamwork, leadership competencies, career planning awareness, and problem-solving abilities among participants. Qualitative results also revealed increased confidence, stronger motivation for professional development, and greater participation in community and economic activities. Participants showed improved readiness for employment and entrepreneurship opportunities after completing the program. The integration of human resource development and participatory educational approaches proved effective in promoting employability and sustainable community empowerment

This study aims to analyze in-depth cognitive learning theory and its implications for improving the effectiveness of Islamic Religious Education (PAI) teaching at the elementary school level. The adopted methodological approach is qualitative through library research, with the application of content analysis and theoretical synthesis techniques. Primary data sources were obtained from academic literature including textbooks, scientific journals, and the latest empirical research relevant within the last decade. The results of the analysis indicate that cognitive learning theory positions cognitive processes as the core of learning activities, allowing students to function as active agents in constructing knowledge through understanding, analysis, memory representation, and integration with pre-existing cognitive schemas. In the context of PAI, this approach enables meaningful learning through interactive pedagogical strategies such as collaborative discussions, problem-solving, case studies, and metacognitive reflection, which are empirically adapted to the stages of students' cognitive development. The implementation of cognitive theory significantly contributes to strengthening conceptual understanding, increasing learning engagement, developing critical thinking skills, transferring knowledge, and internalizing Islamic values. Thus, cognitive learning theory makes a substantial contribution to optimizing the effectiveness of PAI teaching in elementary schools through an interactive, systematic, and understanding-oriented approach.

Clean water is a basic human necessity that plays a vital role in public health and well-being. However, access to clean water remains a challenge in many drought-prone areas. This condition requires effective planning and evaluation to ensure the sustainability of clean water supply programs. This article aims to examine the application of the Problem Solving Cycle (PSC) method in the planning and evaluation of clean water supply programs in drought-prone regions. The study employed a literature review method by analyzing various scientific articles and relevant documents. Data were analyzed descriptively through identification, classification, and information synthesis. The findings indicate that PSC supports program planning and evaluation through the stages of problem identification, cause analysis, action planning, implementation, monitoring, and evaluation. Clean water supply programs contribute to improving community access to safe water and adequate sanitation, although several challenges remain, including limited resources, infrastructure management issues, and program sustainability. Therefore, PSC can serve as an effective approach to support the success of clean water supply programs in drought-prone areas.

This study was conducted to analyze the relationship between students’ critical thinking skills and mathematical problem-solving abilities through a literature review approach. The study is based on the importance of mastering higher-order thinking skills in the mathematics learning process, particularly when students are faced with complex problems related to real-life situations. The method used in this research was a literature review by examining various relevant scientific journals and academic books published between 2021 and 2026. The data analysis process was carried out through stages of identification, classification, evaluation, and synthesis of the collected sources. The findings revealed a significant and positive relationship between critical thinking skills and students’ mathematical problem-solving abilities. Critical thinking skills play an important role in helping students understand problems, process and analyze information, select appropriate solution strategies, and systematically review the results obtained. Students with strong critical thinking skills generally demonstrate more optimal mathematical problem-solving abilities. In addition, the implementation of learning models such as Problem-Based Learning and contextual approaches has been considered effective in improving both abilities. Therefore, critical thinking skills are regarded as an essential aspect that needs to be developed in mathematics learning in order to enhance students’ mathematical problem-solving abilities.

This study aims to analyze the influence of social support and soft skills on the work readiness of the 2022 cohort students in Tasikmalaya City. Work readiness is an essential aspect that students must possess to face increasingly competitive labor market demands. This research employed a quantitative approach using a survey method. Data were collected through an online questionnaire distributed to 110 respondents selected from a population of 150 students using the Slovin formula with a 5% margin of error and a simple random sampling technique. Data analysis was conducted using multiple linear regression with the assistance of IBM SPSS Statistics 25. Prior to hypothesis testing, validity and reliability tests were performed to ensure the quality of the research instruments. In addition, classical assumption tests, including normality, multicollinearity, heteroscedasticity, autocorrelation, and linearity tests, were conducted to verify the suitability of the regression model. The findings indicate that both social support and soft skills have a positive and significant effect on students’ work readiness. Support from family, peers, and the academic environment enhances students’ confidence in preparing for employment. Furthermore, communication skills, teamwork, problem-solving abilities, and responsibility as components of soft skills strengthen students’ readiness to enter the professional workforce. These findings highlight the importance of developing soft skills and strengthening social support to improve students’ work readiness.

The development of the digital economy has driven increased customer interaction through online chat services, making customer satisfaction a key factor in business success. Response speed and chat service quality are two important aspects in shaping the customer experience, but previous research has tended to examine them separately. This study aims to analyze the influence of online chat services and response speed on customer satisfaction partially and simultaneously. The method used is a qualitative approach with a literature review of 12 scientific articles from 2020–2025 obtained from academic databases such as Google Scholar and SINTA. The analysis technique used is descriptive-critical through the identification, comparison, and synthesis of previous research findings. The results show that online chat services have a positive effect on customer satisfaction, primarily through interaction quality such as information accuracy, ease of use, and problem-solving ability. Response speed has also proven to be an important determinant, where a fast response significantly increases customer satisfaction. However, speed without quality has the potential to decrease satisfaction. The discussion shows that the two variables have a complementary and inseparable relationship. Online chat services function as a medium for interaction, while response speed is a quality attribute that determines the effectiveness of the service. Therefore, the integration of both in one model is the main contribution of this research in filling the literature gap, especially in the context of e-commerce in Indonesia.

This study was motivated by the low basic multiplication skills of third-grade elementary school students, particularly in conceptual understanding, calculation accuracy, and problem-solving abilities. The objective of this study was to determine the effect of the Jarimatika method combined with the Problem Based Learning (PBL) model on students’ basic multiplication skills. This study employed a quantitative approach using a one-group pretest-posttest design. The participants were 30 third-grade students of SD Negeri Sukanegara. Data were collected through pretest and posttest instruments that had been tested for validity and reliability. The results showed a significant improvement in students’ multiplication skills after the treatment, as indicated by the increase in the mean score from 55.17 in the pretest to 80.00 in the posttest. The paired sample t-test analysis revealed a significant difference between pretest and posttest scores (t = -10.951, p = 0.000 < 0.05). The findings indicate that the implementation of the Jarimatika method combined with the Problem Based Learning (PBL) model effectively improves students’ basic multiplication skills and supports more active and meaningful mathematics learning.

The increasing complexity of urban transportation systems demands intelligent and measurable navigation methods. Medan City, the capital of North Sumatra Province, has a dense road network with multiple route options that often confuse road users. Dijkstra's Algorithm, developed by Edsger Wybe Dijkstra in 1959, is a greedy-based computational approach proven effective for solving the shortest path problem on non-negative weighted graphs. This study applies Dijkstra's Algorithm to determine the shortest route from Medan Railway Station to Universitas Negeri Medan (UNIMED). The road network was modeled as an undirected weighted graph with 15 nodes and 16 edges, where edge weights represent actual road distances measured via Google Maps. The graph has a density of 0.152, confirming its sparse graph characteristic. Three alternative routes were identified and analyzed. The algorithm was implemented in Python 3 using the heapq module as a priority queue. Results show that the optimal route is A → B → C → E → F → M → N → O via Jl. M.T. Haryono, Jl. Aipda KS Tubun, Jl. Madong Lubis, and Jl. Prof. H.M. Yamin, with a total distance of 6.64 km. This achieves 99.1% accuracy compared to Google Maps, with a deviation of only 0.06 km. The optimal route is 6.25% more efficient than Alternative Route 1 (7.30 km) and 11.9% more efficient than Alternative Route 2 (7.54 km). The algorithm executes in under 1 millisecond with time complexity O((V+E) log V). These findings confirm Dijkstra's Algorithm as highly effective for medium-scale urban road network optimization.

The rapid transformation of education driven by globalization and technological advancement demands adaptive learning approaches that align with the characteristics of Generation Z learners. This generation is known for its curiosity, independence in thinking, and openness to diverse perspectives, yet it is also vulnerable to misinformation and negative online influences. Within the context of Islamic education, learning is not solely oriented toward cognitive development but also emphasizes the cultivation of moral values, particularly tolerance. This study aims to explore how contextual teaching methods can contribute to fostering tolerant attitudes among Generation Z students in Islamic educational settings. The research employs a qualitative approach through library research, utilizing a descriptive-analytical framework. Data were collected from various sources, including academic journals, books, and previous studies related to contextual learning, multicultural education, and Generation Z characteristics. The data collection technique involved document analysis, followed by content analysis procedures such as data reduction, categorization, and conclusion drawing. The findings indicate that contextual learning effectively promotes tolerance by engaging students in discussion, problem-solving, reflection, and real-life experiences. The integration of multicultural values and the role of teachers as facilitators and role models further strengthen this process. However, challenges remain, including limited teacher understanding, the persistence of conventional methods, inadequate supporting facilities, and the influence of social media. Overall, contextual learning presents a relevant strategy for developing open-minded, balanced, and socially adaptive Generation Z learners.

This study aims to explore issues faced by students and the contribution of guidance and counseling (BK) services in addressing various challenges at MTSN Cirebon. The issues studied include low levels of discipline, school withdrawal behavior, lack of learning motivation, and smoking habits among students. This study employed a qualitative, descriptive approach. Participants in the study consisted of BK teachers, students, and student organizations (OSIM and MPK) selected using a purposive sampling technique. Data were collected through in-depth interviews, observation, and documentation. Data analysis was conducted using an interactive model involving data reduction, data presentation, and conclusion drawing. Its validity was tested through triangulation of sources and techniques. The findings of this study indicate that the issues faced by students are influenced by internal and external factors, such as lack of self-awareness, low learning motivation, environmental impacts, and excessive use of social media. BK services play a vital role in addressing these issues through preventive and curative approaches, as well as collaboration between teachers, students, parents, and school organizations. In addition, consistent discipline, engaging learning methods, and monitoring of student behavior are also crucial elements in problem-solving efforts. This research confirms that resolving student issues requires a comprehensive and collaborative approach across all parties within the school environment. Guidance and counseling services play a strategic role in supporting students in overcoming challenges and developing their full potential.

Various studies indicate that mathematics learning in schools is still dominated by teacher-centered methods that emphasize abstract concepts, resulting in limited connection to real-life contexts and low student engagement. Therefore, innovative learning approaches are needed to bridge mathematical concepts with real-world experiences while encouraging active student participation. This community service activity aims to enhance students’ conceptual understanding and creativity through the use of innovative mathematics teaching aids within a participatory approach. The method employed is descriptive-implementative, consisting of needs analysis, training implementation, and evaluation stages. Data were collected through concept understanding tests, mathematical creativity tests, observations, and interviews, and were analyzed using both quantitative and qualitative approaches. The results show an improvement in students’ conceptual understanding as well as the development of mathematical creativity, indicated by increased fluency, flexibility, and originality in problem-solving. In addition, students’ active participation in the learning process significantly improved. The use of teaching aids proved effective in creating more meaningful learning experiences through direct interaction with mathematical concepts. In conclusion, the use of mathematics teaching aids in participatory-based learning is effective in improving the quality of learning, particularly in terms of students’ conceptual understanding and creativity.

This study examines the role of Artificial Intelligence (AI) in enhancing student collaborative learning, with a particular emphasis on AI-driven feedback mechanisms and patterns of student interaction in developing effective collaborative skills. Unlike prior studies, this research highlights the mediating effect of AI-driven feedback on teamwork efficiency and overall learning outcomes in collaborative environments. An explanatory quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) to ensure robust data analysis. Data were collected from 112 university students who were actively engaged in AI-assisted collaborative learning activities, using a structured online survey instrument. The data were subsequently analyzed using SmartPLS software. The results reveal that AI significantly enhances student interaction (β = 0.534, p < 0.000) and improves problem-solving feedback (β = 0.620, p < 0.000), both of which contribute to significantly strengthening collaborative skills (β = 0.716, p < 0.000). However, the findings also indicate that AI alone does not directly improve collaboration without the support of structured pedagogical design and guidance. Therefore, universities should strategically integrate AI-driven feedback into Learning Management Systems (LMS) and strengthen digital literacy initiatives to optimize the effectiveness and sustainability of AI in collaborative learning contexts.

This study aims to analyze various research results related to the application of context-based mathematics learning in improving students' mathematical literacy. Mathematical literacy is an important skill that enables students to understand, use, and apply mathematical concepts and reasoning in solving various problems related to real life. This study uses a qualitative approach with a literature review method. Research data was obtained through a review of various scientific articles relevant to the research topic. The analysis process was carried out in several stages, namely identification of literature sources, selection of articles based on topic suitability, and synthesis of published research findings. The results of the study show that integrating everyday contexts into mathematics learning can improve students' conceptual understanding, mathematical reasoning abilities, and problem-solving skills. Learning that links mathematical material to real-life situations can also help students understand concepts more meaningfully and encourage active engagement in the learning process. The findings of this study provide an overview that the application of mathematics learning based on everyday life contexts can be an effective strategy in improving students' mathematical literacy. Therefore, teachers need to design learning that links mathematical concepts to real-life situations so that students' mathematical literacy skills can develop optimally.

Health program planning is an essential process in improving public health status through a systematic and data-driven approach. This study aimed to analyze health program planning based on situational analysis and the problem solving cycle (PSC), as well as to identify the root causes of problems using the fishbone approach. The research employed a descriptive qualitative method supported by simple quantitative data. Data were collected through in-depth interviews, observations, and documentation involving purposively selected informants. The results of the situational analysis identified several major health problems, including stunting, low posyandu attendance, and limited maternal knowledge regarding nutrition. Priority setting using the USG method determined stunting as the main health issue. Furthermore, root cause analysis using a fishbone diagram revealed that stunting was influenced by various factors related to man, machine, method, material, environment, money, and management. The application of the problem solving cycle facilitated systematic intervention planning, including nutrition education, community empowerment, and child growth monitoring. Program implementation demonstrated improvements in maternal knowledge and posyandu attendance. In conclusion, health program planning based on situational analysis, fishbone analysis, and the problem solving cycle proved effective in producing targeted and sustainable interventions.

Health program planning is an essential process in improving public health status through a systematic and data-driven approach. This study aimed to analyze health program planning based on situational analysis and the problem solving cycle (PSC), as well as to identify the root causes of problems using the fishbone approach. The research employed a descriptive qualitative method supported by simple quantitative data. Data were collected through in-depth interviews, observations, and documentation involving purposively selected informants. The results of the situational analysis identified several major health problems, including stunting, low posyandu attendance, and limited maternal knowledge regarding nutrition. Priority setting using the USG method determined stunting as the main health issue. Furthermore, root cause analysis using a fishbone diagram revealed that stunting was influenced by various factors related to man, machine, method, material, environment, money, and management. The application of the problem solving cycle facilitated systematic intervention planning, including nutrition education, community empowerment, and child growth monitoring. Program implementation demonstrated improvements in maternal knowledge and posyandu attendance. In conclusion, health program planning based on situational analysis, fishbone analysis, and the problem solving cycle proved effective in producing targeted and sustainable interventions.

Self-development is a crucial competence for navigating the professional world; however, many individuals face significant barriers in optimizing this potential. This study aims to formulate an integrative model of Quranic Tadabur and bibliotherapy as a professional therapeutic intervention in counseling, addressing gaps in existing literature. Using a library research method with content analysis, the findings indicate that Quranic Tadabur effectively enhances essential self-development skills, including self-awareness, work motivation, problem-solving, time management, emotional regulation, critical and creative thinking, and social collaboration. Within the bibliotherapy framework, the self-development process is structured through stages of motivation, incubation, follow-up, and evaluation. Furthermore, several counseling techniques are proposed, such as self-management, minimal contact, counselor-led management, and directed counseling, to support individual growth. This integrative approach highlights the role of spirituality in fostering holistic personal and professional development. The study contributes theoretically to the advancement of spirituality-based counseling models, particularly in the context of modern career development, and offers a conceptual foundation for future empirical research.

This study explores the integration of Creativity Education and Growth Mindset in Catholic Religious Education (CRE) at Senior High Schools and examines its alignment with the Sustainable Development Goal (SDG) 4, focusing on quality and inclusive education. Using a Systematic Literature Review based on the PRISMA 2020 protocol, the study analyzed 1,263 articles from scientific databases, narrowing down to 106 relevant studies. The findings highlight that Creativity Education fosters critical thinking, cognitive flexibility, problem-solving, and the integration of moral and spiritual values. Growth Mindset enhances students’ intrinsic motivation, perseverance, and resilience, creating an adaptive, innovative, and inclusive learning environment. The synthesis led to the development of an integrative learning model, which includes the Creative Reflective Learning Cycle, Faith-Based Project Learning, Creative Growth Dialogue, and Digital Creativity Integration. This model aims to holistically develop students’ cognitive, creative, moral, and spiritual capacities. The study demonstrates that the combination of Creativity Education and Growth Mindset enriches CRE pedagogical practices and supports the development of 21st-century skills, such as critical thinking, collaboration, digital literacy, and moral literacy. It concludes that project-based learning, digital technology integration, and curriculum adjustments are vital steps in improving learning quality and inclusiveness. The study recommends further empirical research to test the effectiveness of the proposed model.

This study focuses on examining the effectiveness of the metacognitive guidance approach in mathematics education using the Systematic Literature Review (SLR) method. Metacognitive strategies are considered a relevant approach in 21st-century education because they encourage students to plan, monitor, and evaluate their thinking processes independently. The literature search was conducted via Google Scholar using appropriate keywords and yielded 306 articles in the initial stage. Subsequently, the selection process followed the PRISMA flowchart, including the removal of duplicate articles, screening based on titles and abstracts, and eligibility assessment through full-text review. From these stages, 12 articles meeting the inclusion criteria were selected as the basis for analysis. The study’s findings indicate that metacognitive guidance has a positive impact on mathematics learning, particularly on students’ problem-solving skills, critical thinking, mathematical literacy, and learning outcomes. This approach also enhances metacognitive awareness, enabling students to be more focused in selecting strategies, monitoring the learning process, and evaluating the results. Thus, this strategy is worthy of integration by teachers to strengthen the quality of learning and higher-order thinking skills.