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This community service activity aims to instill religious values in the students at TPQ Miftakhul Huda by establishing the habit of praying before and after wudu, as an effort to transform worship practices from mere physical routines into profound spiritual experiences. Using the Asset-Based Community Development (ABCD) approach, this program is carried out through five main stages: discovery, dream, design, define, and do. The results of the activity indicate that through intensive demonstration and practical guidance, the students experienced significant improvement in discipline, awareness of maintaining purity, and moral responsibility as manifestations of Muslim character from an early age. Integrating prayer into the wudu practice has proven effective as an educational tool in building the foundation of faith from an early age, or the “golden age.” The synergy between the student team, educators, and the utilization of institutional facilities proved effective in establishing operational standards for character education that comprehensively integrate physical, mental, and theological aspects. Thus, the practice of wudu prayer serves as a strategic educational tool in strengthening children’s foundational faith during the golden age amidst the challenges of shifting global values.

Collecting donations for natural disaster victims is a form of social solidarity widely practiced by the community, including students. However, in practice, these fundraising activities must be carried out in accordance with applicable legal provisions, specifically Regulation of the Minister of Social Affairs of the Republic of Indonesia Number 8 of 2021 concerning the Implementation of the Collection of Money or Goods (PUB). This study aims to analyze the implementation of Ministerial Regulation Number 8 of 2021 in the practice of collecting donations for natural disasters by students. The research method used is a normative empirical research method with a legislative and sociological approach. Data were obtained through literature review and interviews with the Social Services Agency and student organizations. The results show that the implementation of Ministerial Regulation Number 8 of 2021 in student fundraising activities has actually taken place, but is not yet fully optimal. This is evident in the continued discovery of donation collections carried out without official permits from authorized agencies and the lack of accountability reporting for collected funds. This condition indicates that the level of compliance with administrative provisions in the implementation of fundraising is still relatively low. Therefore, increased regulatory dissemination, more effective oversight, and increased legal awareness among students are needed to ensure that fundraising activities are carried out transparently, accountably, and in accordance with applicable laws.

This study aims to: (1) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the mathematical concept comprehension and self-efficacy of 10th-grade students at SMA Negeri 3 Tarakan; (2) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the mathematical concept comprehension of 10th-grade students at SMA Negeri 3 Tarakan; (3) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the self-efficacy of 10th-grade students at SMA Negeri 3 Tarakan. The research population included all tenth-grade students of SMA Negeri 3 Tarakan in the 2024/2025 academic year. The research sample consisted of two classes selected randomly: one experimental class receiving discovery learning with an aptitude treatment interaction strategy and one control class receiving conventional learning. The research instruments consisted of a test measuring mathematical concept understanding on trigonometry material and a self-efficacy questionnaire. The data obtained were tested for prerequisites through normality and homogeneity tests before being analyzed using inferential statistical tests in the form of an independent samples t-test with the assistance of SPSS software version 26.0. The research results show that the implementation of the discovery learning model with the aptitude-treatment interaction strategy has a significant impact on students' mathematical concept understanding and self-efficacy simultaneously, with a significance value of 0.006 < 0.05. Partially, this learning model has a significant effect on students' mathematical concept understanding, with a significance value of 0.018 < 0.05. However, the effect of the discovery learning model with the aptitude-treatment interaction strategy on students' self-efficacy is not statistically significant, as indicated by a significance value of 0.089 > 0.05, even though there is a tendency for increased self-efficacy among students participating in the experimental class learning. Nevertheless, the influence of the discovery learning model with the aptitude treatment interaction strategy on students' self-efficacy is not statistically significant in partial terms, although there is a tendency for an increase in self-efficacy among students participating in the experimental class. These findings suggest that the discovery learning model with the aptitude treatment interaction strategy is effective in improving students' understanding of mathematical concepts in trigonometry material and has the potential to support the development of self-efficacy in mathematics learning.

The increasing need for insulation in electric power systems encourages the discovery of high-performance and sustainable dielectric materials. This study presents a Literature Review of biomass-based composite insulator research from 2018-2025 to synthesize the effect of filler type and treatment on the electrical, thermal, and mechanical properties of polymer composites. Literature was analyzed from reputable databases with inclusion criteria, and thematic analysis data extraction. Processing methods generally include washing, acid/alkali treatment, calcination, and advanced production techniques such as sol-gel and ultrasonication, integration of biomass fillers especially at low fractions (3-7%). The results show 1) the dominance of the use of rice husk as a source of biosilica for the main matrix filler of the insulator. 2) the performance of biomass composite insulators is highly dependent on the quality of purification, particle size, and surface modification of the filler. 3) there is a significant increase in the insulator's breakdown strength, resistivity, and thermal stability with the addition of biomass fillers to the main matrix. 4) the long-term stability of biomass materials against humidity and thermal aging has not been evaluated in depth.

This study explores the role of visual analytics in enhancing decision-making processes within creative industries, focusing on its application to large-scale multimedia datasets. Visual analytics integrates interactive visualization techniques with computational algorithms, enabling users to explore complex datasets intuitively and derive actionable insights. The research centers on the design and implementation of interactive dashboards tailored to the creative sector, particularly film, music, and advertising industries, to facilitate real-time data exploration. The study also investigates the usability of these tools through expert-based evaluations, aiming to assess their effectiveness in supporting informed and timely decision-making. The findings reveal that interactive visualizations significantly improve insight discovery and pattern recognition, enabling decision-makers to uncover hidden trends in large multimedia datasets. However, challenges related to scalability, user acceptance, and real-time processing were encountered during the implementation phase. The research highlights the practical benefits of integrating visual analytics into industry workflows, which include enhanced content creation, audience engagement, and strategic planning. Furthermore, the study identifies key visual analytics techniques such as dynamic dashboards, pattern recognition, data mining, and clustering, which are essential for analyzing multimedia data. The study concludes by emphasizing the potential for wider applications of visual analytics in other sectors, suggesting future research directions to improve tool performance, scalability, and user accessibility, as well as exploring the integration of emerging technologies like artificial intelligence and virtual reality.

: The rapid expansion of cybersecurity standards and threat intelligence frameworks has led to significant semantic fragmentation among security terminologies, hindering effective information retrieval and interoperability across systems. Traditional keyword-based search approaches are inadequate for capturing the contextual meaning of security terms, particularly within formal frameworks such as NIST, MITRE ATT&CK, and CWE. This study addresses this challenge by proposing CyberBERT, a transformer-based semantic search framework designed to align cybersecurity terminologies through deep contextual representation and ontology-driven reasoning. Research Objectives: The primary objective of this research is to develop a semantic retrieval model capable of understanding conceptual relationships between security terms beyond lexical similarity. Methodology: The proposed methodology fine-tunes a BERT-based model on the NIST Glossary corpus using a combination of masked language modeling and triplet loss objectives to generate discriminative semantic embeddings. These embeddings are further aligned with cybersecurity ontologies, including MITRE ATT&CK and CWE, to enhance semantic consistency and explainability. Semantic retrieval is performed using cosine similarity within a 768-dimensional embedding space and evaluated using Mean Reciprocal Rank (MRR) and Precision@K metrics. Results: Experimental results demonstrate that CyberBERT achieves an MRR of 0.832, outperforming domain-adapted baselines such as SecureBERT and CyBERT. The integration of ontology alignment improves semantic accuracy by over 6%, while robustness evaluations confirm resilience against adversarial linguistic perturbations. Visualization using t-SNE reveals coherent semantic clustering aligned with the five core NIST Cybersecurity Framework functions. Conclusions: In conclusion, CyberBERT effectively bridges semantic gaps across cybersecurity terminologies by combining transformer-based contextual learning with ontological reasoning. The framework offers a robust, interpretable, and scalable solution for semantic search, supporting improved interoperability and knowledge discovery in cybersecurity operations and standards harmonization.

This study aims to analyze the improvement of students’ knowledge and the alignment of the Civic Education learning model with the characteristics of third-grade students at SDN Kadipiro. The research problem arises from the tendency of Civic Education in elementary schools to rely heavily on lecture-based instruction, which results in low student engagement and limited comprehension of abstract concepts such as rights and obligations. A descriptive qualitative approach was employed through observations, interviews, and documentation to obtain a comprehensive picture of the learning process, the instructional model applied, and classroom dynamics. The findings reveal that the teacher implemented a game-based Discovery Learning model that emphasizes exploration, categorization, verification, and independent conclusion-making by students. This model proved effective, as evidenced by 85% of students being able to understand and distinguish examples of rights and obligations in accordance with the Civic Education learning outcomes. The study also indicates that game-based learning is more compatible with the students’ predominant visual and kinesthetic learning tendencies, enabling them to maintain focus more effectively than when using traditional lecture methods. However, several challenges emerged, including variations in students’ writing literacy skills and the absence of a structured assessment rubric. These findings underscore the need for flexible instructional design, the integration of concrete learning media, and the implementation of more systematic formative assessment practices. Future research is recommended to develop differentiated instructional strategies and to utilize more diverse media to accommodate the needs of heterogeneous classrooms.

This study aims to determine the effect of the application of the Discovery Learning learning model on student learning outcomes in Geography class X at Sinar Pancasila Betun Private High School. The study used an experimental method with a pretest-posttest control group design. The study population was all students of class X, with a purposive sampling technique consisting of an experimental class and a control class. The research instrument was a multiple-choice learning outcome test that had been tested for validity and reliability. The results showed a significant increase in learning outcomes in the experimental class after the application of the Discovery Learning learning model. The average posttest score of the experimental class was 74.0236, higher than the control class of 19.2045. Hypothesis testing using the t-test showed that the calculated t value > t table at a significance level of 5%, so the alternative hypothesis was accepted. This means that there is a positive effect of the use of the Discovery Learning learning model on student learning outcomes. Based on these findings, it is concluded that the Discovery Learning learning model is effective for improving student learning outcomes in Geography learning and can be used as an alternative innovative learning strategy in schools.

Mathematics learning demands optimal student activity, concentration, and participation. However, many students still exhibit a passive attitude during the learning process, resulting in learning outcomes that have not reached the expected level. This article aims to analyze various effective classroom management strategies for fostering enthusiasm for learning and increasing student participation in mathematics learning. This study uses a library research method by reviewing various scientific sources, such as journals, academic books, and relevant research reports. The results of the study indicate that effective classroom management plays a crucial role in creating a conducive, interactive, and student-centered learning environment. Teachers function not only as transmitters of material but also as facilitators and administrators capable of building positive social relationships and motivating students to actively think and participate. Preventive, curative, and repressive classroom management strategies have been proven to improve student focus, motivation, and learning outcomes, especially when integrated with learning approaches such as discovery learning, teacher-centered learning, and the use of creative methods like squad games and block systems. Thus, adaptive and innovative classroom management is key to realizing participatory, enjoyable, and meaningful mathematics learning for the development of students' overall potential.

This study aims to determine whether there is an influence of practical activities on students' critical thinking skills and scientific attitudes. The study was conducted in June-July 2025, the method used in this study is quantitative quasi-experimental. Sampling was carried out non-randomly using purposive sampling techniques. The sample of this study was 27 second semester students. The average value of critical thinking skills was 82.22 while the average value of the scientific attitude posttest was 67.48. The average value of critical thinking skills and scientific attitudes was obtained from the calculation of prerequisite tests, namely the normality test and the homogeneity test. Furthermore, a t-test was carried out is using the Paired Samples Test. The results of the Paired Samples Test were 0.000 because the p value <0.05, it can be concluded that there is an influence of discovery learning-based practical activities on students' critical thinking skills and scientific attitudes

The rapid development of digital technology has significantly transformed commercial activities, particularly through the emergence of marketplaces as platforms for online transactions. The vast number of products available in a marketplace often creates difficulties for users in finding items that suit their needs and preferences. To address this challenge, a recommendation system is required to provide personalized and relevant product suggestions. This study discusses the implementation of a product recommendation system in a marketplace using the Collaborative Filtering method. This method works by leveraging information from users’ previous behavior, such as purchase history, ratings, and similarity of preferences with other users, to generate more accurate product recommendations. The Collaborative Filtering approach has proven effective in identifying user preference patterns based on relationships between users as well as between items. This study employs user interaction data such as ratings and shopping activities as the processing foundation. The process involves data collection, preprocessing, calculation of similarity between users or products, and generating recommendation lists. The results indicate that this method enhances the shopping experience by providing relevant product suggestions tailored to user interests, thereby increasing customer satisfaction and potentially improving sales performance in the marketplace. Thus, the application of a Collaborative Filtering-based recommendation system not only simplifies product discovery for users but also offers strategic advantages for marketplace operators in digital business competition

The pitcher plant (Nepenthes sp.) is a type of predatory plant typically found in tropical regions and has a pitcher structure designed to attack insects. The pitcher's structure acts as a small ecosystem that supports a variety of microorganisms, both those living on the surface (epiphytes) and those within the tissue (endophytes). This study aimed to extract and identify microorganisms present on the surface and interior of the pitcher plant. Samples were taken from peat swamps and separated using Nutrient Agar (NA) for bacteria and Potato Dextrose Agar (PDA) for fungi. The discovery process involved examining morphological characteristics both visually and under a microscope. The results revealed differences in the types of microorganisms between the outside and inside of the pitcher, influenced by the microenvironmental conditions in each area. These findings can serve as a foundation for further study of the bioactive potential of microorganisms from the pitcher plant.

The issue of determining the number of students' graduation times is one of the important indicators in transmitting the quality and effectiveness of the higher education process in universities. The rate of on-time graduation not only impacts accredited institutions, but also becomes a concern for campus management in designing learning strategies and academic guidance. This study aims to apply and compare two classification algorithms in data mining, namely C4.5 and K-Nearest Neighbor KNN, in predicting the accuracy of students' graduation times. Predictions are made based on academic attributes such as Grade Point Average GPA, number of credits that have been achieved, and Semester Grade Point Average IPS as input variables. The method used in this study is Knowledge Discovery in Database KDD which includes data selection, preprocessing, transformation, data mining, and evaluation of results. The study was conducted using the RapidMiner tool, with a dataset of 279 Informatics Study Program students from the 2015 to 2019 intake. The data was classified into two categories: "graduated on time" and "not graduated on time". The test results showed that the KNN algorithm provided better performance compared to C4.5. KNN produced an accuracy of 76.08%, with a precision of 73.11% and a recall of 41.92%. Meanwhile, the C4.5 algorithm produced an accuracy of 73.49%, with a precision of 64.62% and a recall of 41.89%. This difference in accuracy indicates that KNN is more effective in capturing patterns in the data and providing more accurate predictions in this context. Thus, the KNN algorithm can be considered a more optimal method to assist universities in predicting potential student admissions in a timely manner, thus enabling early intervention for students at risk of late graduation. This research also contributes to the development of data mining-based academic decision support systems in higher education.

This study investigates the implementation of the discovery learning model to enhance the learning independence of Grade V students in the IPAS subject at MIS Nurul Yaqin. The problem arises from limited learning facilities, which reduce opportunities for activities that stimulate creativity, as well as students’ limited ability to recognize and describe shapes and colors in detail. This Classroom Action Research applied the Kemmis and McTaggart model with Grade V students as the research subjects. Data were collected through observation, questionnaires, interviews, and documentation, and analyzed descriptively in both quantitative and qualitative forms. The results show that Discovery Learning effectively improved students’ independence in learning. Through its exploratory approach, students actively engaged in questioning, observing, experimenting, and drawing conclusions in meaningful activities. Improvements were noted in self-confidence, task discipline, initiative in managing learning, motivation to understand material, and responsibility for outcomes. Active participation at each stage—from problem formulation to reflection—enhanced mastery of the properties of light and their applications, while also fostering critical, creative, and responsible learning behavior. Furthermore, the study found that the implementation of Discovery Learning encouraged collaborative interaction among students, allowing them to share ideas, test hypotheses, and provide peer feedback. This created a more student-centered learning atmosphere, shifting the focus from teacher instruction to student exploration. Quantitative results showed that student independence increased significantly, with success rates rising from 47.80% in Cycle I, when learning was still teacher-centered, to 84.76% in Cycle II, as students became more actively engaged both physically and mentally. These findings highlight the importance of using student-centered approaches such as Discovery Learning to develop independence, critical thinking, and motivation. The model not only supported better academic outcomes but also prepared students with essential lifelong learning skills that can be applied across subjects and in real-life problem solving.

Stem cells are unspecialized cells with the ability to self-renew over long periods of time without undergoing significant changes in their basic properties. The discovery of adult stem cells has revolutionized therapeutic and regenerative medicine and led to the development of new therapies for previously untreatable terminal conditions. Hematopoietic stem cell transplantation was the first example of successful stem cell therapy and has been widely used in the treatment of a variety of diseases, including leukemia, adult T-cell lymphoma, and multiple myeloma. Meanwhile, autologous mesenchymal stem cell transplantation is increasingly being used to repair mesenchymal tissues and other organs such as the lung and heart, and has shown promise in the treatment of stroke, multiple sclerosis, and diabetes. Interest in the therapeutic potential of other adult stem cells including neural, mammary, intestinal, inner ear, and testicular stem cells is also growing. The discovery of induced pluripotent stem cells has opened new insights into the epigenetic mechanisms underlying pluripotency and carcinogenesis. This study employed a qualitative approach with a literature review method, aiming to conduct an in-depth review of the scientific literature related to the development of stem cell therapy and its epigenetic implications. Through a systematic analysis of various academic sources, this study seeks to formulate a comprehensive conceptual understanding and identify future directions for safer and more targeted stem cell therapy development.

The background of this study is based on the absence of formal pantomime learning in the curriculum or in extracurricular activities, but the school is able to achieve achievements in pantomime competitions. This study aims to examine the pantomime teaching strategy at SMPN 1 Kawali in improving student creativity as preparation for facing pantomime competitions between students. This study uses a qualitative descriptive analytical approach with data collection techniques in the form of observation, interviews, documentation and literature studies. The subjects of this study were art and culture teachers and students who were prepared as participants in the pantomime competition. The results of this study indicate that the teaching strategies applied include: (1) Application of a scientific approach and application of the discovery learning method, experimental method, drill method, demonstration method, (2) talent search selection strategy through NMB (Nesaka Mencari Bakat) activities and dance extracurricular activities, (3) competition strategy which includes the stages of introducing basic pantomime concepts, exploring themes and storylines, designing movements and development, intensive training and periodic evaluation of student abilities in terms of expression, movement techniques and creativity. All of these strategies have been proven to be able to improve student creativity, prepare them optimally for competition, and produce achievements in pantomime competitions.                                                                                 

This study analyzes the reinvention of heroism and gender identity in Disney's Mulan (1998), an animated adaptation of the Chinese mythology of Hua Mulan.  Mulan diverges from conventional storylines that exalt masculine power and martial prowess, focusing instead on themes of heroism, self-discovery, and the subversion of strict gender standards.  The film amplifies a female protagonist who defies cultural norms, critiquing traditional heroics and redefining greatness via resilience, intellect, and ethical purity.  This study utilizes qualitative textual analysis and Joseph Campbell’s Hero’s Journey framework to examine how Mulan subverts patriarchal tropes, establishing personal sincerity and inner power as the genuine criteria of heroism.  This study examines feminist and postcolonial critiques of classical storytelling, asserting that Mulan reinterprets old myth as a modern metaphor of empowerment, demonstrating how contemporary adaptations can reclaim traditional narratives to embody progressive ideas.  The video serves as a radical act of mythopoetic resistance, presenting an alternative conception of heroism that surpasses gender and cultural limitations.

The rise of digital transformation and increasing competition in the Islamic financial sector require microfinance institutions such as KSPPS BMT NU Sejahtera Bumiayu to implement innovative strategies to build competitive advantage. This study aims to analyze the development of innovative services through the Blue Ocean Strategy (BOS) framework, which focuses on value creation and the discovery of untapped market space. A descriptive qualitative method was employed, with data collected through in-depth interviews involving management and active customers. The findings indicate that based on external analysis (PEST and Five Forces) and internal evaluation, the institution holds strong potential to develop service strategies driven by innovation. The application of the ERRC Grid led to several strategic actions, including eliminating administrative fees, simplifying procedures, enhancing service quality and technology, and developing the digital application BMT Mobile. The study concludes that BOS is an effective strategic framework for expanding inclusive, community-based Islamic finance. The results contribute both theoretically and practically to the development of adaptive and competitive Islamic microfinance service models.

Critical thinking skills are an important competency in learning biology, especially in biodiversity materials that require analysis, reasoning, and decision-making. This study aims to determine the influence of the Guided Discovery Learning learning model  on the critical thinking ability of grade X students at SMA Negeri 2 Tondano. The method used was a quasi-experimental study with a pretest-posttest control group design. The sample consisted of two classes, namely the control class that was taught using the conventional model and the experimental class that received treatment with the Guided Discovery Learning model. Data were collected through pretest and posttest written tests, and analyzed using normality, homogeneity, and t-test. The results showed that there was a significant difference between the learning outcomes of students in the experimental class and the control class. The average posttest score of the experimental class was 81 higher than the control class of 63.5. In addition, the Tcal value of 4.65 is greater than the Ttable of 2.02 at a significance level of 0.05, which shows that  the Guided Discovery Learning model  has a positive influence on improving students' critical thinking skills. This result is also strengthened by a decrease in standard deviation which shows an equal distribution of understanding between students. This research contributes to the development of active learning strategies in biology education and suggests the application of this model to improve higher-level thinking skills. This model is also relevant applied to other topics in order to strengthen discovery-based learning and collaboration.

This study analyzes the effectiveness of multi-stakeholder collaboration in the implementation of the Complete Systematic Land Registration (PTSL) program in Bunut District, Pelalawan Regency. The PTSL program as a government effort to provide legal certainty over land ownership requires cooperation from various stakeholders in its implementation. With a qualitative approach and case study design, this study uses the collaborative governance framework from Emerson et al. (2012) to analyze three main dimensions of collaboration: principled engagement, shared motivation, and capacity for joint action. Data were collected through in-depth interviews with 27 informants, participant observation, focus group discussions, and documentation studies. The results of the study indicate that multi-stakeholder collaboration in the implementation of PTSL in Bunut District shows varying effectiveness in various dimensions. In the principled engagement dimension, collaboration is quite effective in the aspects of discovery and definition, but is still limited in the aspects of deliberation and determination. In the shared motivation dimension, there are limitations in building mutual trust and understanding between the community and technical agencies. Meanwhile, in the capacity for joint action dimension, there are strengths in the aspects of procedural arrangements and leadership, but significant limitations in the aspects of knowledge and resources. Supporting factors for collaboration include political commitment, community awareness, the role of traditional leaders, effective communication platforms, and academic involvement. Meanwhile, inhibiting factors include differences in interests between stakeholders, limited technical capacity at the village level, communication and coordination problems, historical land complexity, and budget constraints. The study recommends strategies to increase the effectiveness of collaboration through strengthening multi-stakeholder forum institutions, developing technical capacity, increasing transparency and accountability, developing effective conflict resolution mechanisms, strengthening the role of village governments, and allocating adequate resources. The research findings contribute to the development of collaborative governance theory in the Indonesian context, especially in rural areas with unique socio-cultural characteristics.