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Participatory village development planning is often treated as a technical-administrative routine. In practice, however, planning is inseparable from political dynamics that shape who participates, whose interests prevail, and how scarce resources are allocated. This community empowerment program (PKM) in Kedung Udi Village, Trawas District, Mojokerto Regency, East Java, aimed to strengthen village governance by enhancing the capacity of village officials and community representatives to design and facilitate participatory planning while explicitly addressing the political dimension of planning. The main intervention was a workshop conducted on 22 August 2025, preceded by coordination and situational observation. Workshop modules emphasized: (1) planning as a political decision; (2) navigating dual arenas: formal (Musdes/Musrenbang and RPJMDes, RKPDes, APBDes) and informal (elite networks and gatekeeping); (3) multi-level contestation and policy alignment; and (4) practical tools, including power–interest mapping, programmatic agreements, program tagging for alignment with district planning documents, and transparency/anti elite capture mechanisms. The program resulted in improved participant literacy regarding power relations in planning and produced a follow-up action plan oriented toward institutional advocacy, continuous social control, and routine capacity reinforcement through a university and village partnership.

This study examines the readiness of elementary school teachers to implement AI-based learning in the era of artificial intelligence, as technological advancements increasingly influence instructional practices in basic education. Despite the growing potential of artificial intelligence to support teaching and learning processes, empirical evidence regarding teachers’ preparedness at the elementary level remains limited. This study employed a descriptive quantitative research design involving 18 elementary school teachers. Data were collected using a structured questionnaire consisting of 15 Likert-scale items measuring technological skills, knowledge of artificial intelligence, attitudes toward AI, pedagogical readiness, and infrastructure support. Descriptive statistical analysis revealed that the overall mean score of teachers’ readiness was 4.08, indicating that teachers are generally ready to adopt AI-based learning. Technological skills emerged as the strongest aspect of readiness, reflecting teachers’ familiarity with digital tools and instructional technologies, while infrastructure and institutional support obtained the lowest mean score, highlighting challenges related to facilities, access to technology, and policy support. These findings suggest that although elementary school teachers demonstrate positive readiness and attitudes toward AI-based learning, effective and sustainable implementation requires strengthened institutional support, improved infrastructure, and continuous professional development to maximize the educational benefits of artificial intelligence in elementary education.

The evaluation of Indonesian language instruction at the junior secondary level remains predominantly oriented toward lower-order thinking skills, thereby constraining the advancement of students’Higher Order Thinking Skills (HOTS). This situation necessitates the development of comprehensive assessment tools that are coherently aligned with the Merdeka Curriculum. The present study introduces a model for constructing HOTS-oriented assessment instruments targeting procedural text writing in Phase D. The development process was systematically organized through several stages: translating learning outcomes into measurable indicators, preparing assessment blueprints, creating item cards, formulating scoring rubrics for attitudes, knowledge, and skills, and finally analyzing and interpreting the assessment data. These instruments were specifically designed to capture students’ analytical, evaluative, and creative abilities in producing procedural texts that are logical, coherent, and effective. Findings demonstrate that the instruments provide an objective and holistic representation of students’ competency attainment. In summary, the proposed HOTS-based assessment model for procedural text writing is practical, methodical, and contextually relevant, serving as a valuable framework for evaluating Indonesian language learning in accordance with the Merdeka Curriculum principles.

Heritage language loss among immigrant and diaspora communities represents a critical challenge to cultural identity, intergenerational communication, and cognitive diversity. Traditional heritage language maintenance approaches face significant barriers including limited resources, lack of qualified instructors, geographic dispersion, and competing demands of dominant language acquisition. This study investigates the effectiveness of bilingual digital story applications as innovative tools for heritage language maintenance among children aged 4-12 years. Through a 24-month longitudinal mixed-methods study involving 1,843 families across eight language communities (Spanish, Mandarin, Arabic, Korean, Tagalog, Vietnamese, Hindi, and Polish), we examined language proficiency development, cultural identity formation, family engagement patterns, and app usage behaviors. Quantitative analysis of pre- and post-intervention language assessments revealed statistically significant improvements in heritage language vocabulary (effect size d=0.68), listening comprehension (d=0.54), and oral production (d=0.47) among children using bilingual story apps for at least 20 minutes daily. Qualitative findings from parent interviews and child focus groups highlighted the apps' role in making heritage language learning enjoyable, facilitating parent-child interaction, connecting children to cultural narratives, and normalizing bilingualism. However, effectiveness varied substantially based on app design features, with interactive elements, culturally authentic content, parent involvement scaffolds, and adaptive difficulty showing strongest associations with outcomes. This research demonstrates that thoughtfully designed bilingual story apps can serve as accessible, scalable tools for heritage language maintenance, though they function most effectively as complements to rather than substitutes for rich home language environments and community connections. The study contributes empirical evidence to inform app development, family language planning, and policies supporting linguistic diversity in increasingly globalized societies.

Digital portfolios are a crucial tool for professionally showcasing abilities and learning objectives. Nevertheless, the projects and certificates of participants in the Independent Study program at VINIX7 are still kept apart and are not controlled by an integrated system. This requirement is the basis for the research's design and development of a website-based digital portfolio system that will serve as participants' key platform. Requirements analysis, system design, implementation, and testing are all steps in the Waterfall approach of system development. The Laravel framework was used to create the VinixPort website, which is backed by a MySQL database. The system has tools for managing portfolio material, talent evaluation, user registration and login, and data presentation via analytics. The study's findings show that the VinixPort website was created successfully and that all of the system's primary features work as intended. This service helps users create organized digital portfolios that are readily available and prepared for both professional and academic use.

The rapid development of information technology encourages the use of digital media as an educational tool in the health sector, particularly for pregnant women. One of the problems faced by Klinik Bidan Rima Pondok Meja is the limited use of conventional educational media, such as books and posters, which are considered less attractive and difficult to understand. This study aims to design and develop an Android-based Augmented Reality (AR) application as an educational medium for nutrition and fetal development for pregnant women. The application presents three-dimensional (3D) visualizations of fetal development from week to week, along with information on nutritional needs during pregnancy. The system development method used in this research is the Prototype model, while the Augmented Reality technology applies marker-based tracking. The development tools used include Unity, and Blender 3D. The result of this study is an Android-based AR application prototype that provides interactive and easily understandable information about fetal development and maternal nutrition. This application is expected to increase learning interest and understanding of pregnant women in maintaining a healthy pregnancy at Klinik Bidan Rima Pondok Meja.

This study was motivated by the low level of internalisation of religious values in Islamic Religious Education, especially at the madrasah level, where the process of instilling valuesoften stops at the cognitive level. This study aims todescribe the process of internalising religious values through the film Laut Tengahand assess its effectiveness in improving students' understanding andappreciation of religious values at MTs Manbail Futuh 2 Bancar. The approach used was qualitative with a case study design, because the phenomenon under reviewwas contextual and required in-depth understanding. Datawere collected through direct observation during learning, interviews with teachers andstudents, as well as documentation of learning tools and film clips. Data analysiswas carried out through data condensation, data presentation, and drawingconclusions using the Miles, Huberman, and Saldaña model. The results showedthat the film Laut Tengahwas effective in facilitating the internalisation of religious values through the visual,emotional, and cognitive engagement of students. Students were able to identify values such ashonesty, patience, discipline, gratitude, and social awareness, anddemonstrated appreciation reflected in their self-reflections. With teacher guidance, films became a medium capable of connecting values with the real experiences ofstudents.

This paper explores the epistemological dimensions of the digital transformation occurring in traditional game development through the integration of machine learning systems. By examining how knowledge creation, validation, and application have evolved in this domain, we identify fundamental shifts in the epistemological frameworks governing game development practices. The research investigates how machine learning has redefined creative processes, technical implementation, and experiential design while challenging traditional notions of authorship, expertise, and knowledge transmission. Through analysis of industry case studies, technological capabilities, and theoretical frameworks, this paper contributes to understanding how machine learning systems are not merely tools but epistemological agents that fundamentally transform how knowledge is generated, validated, and utilized in game development ecosystems.

This community engagement program aims to strengthen collaborative governance and social advocacy in Erbil through a data-driven approach that empowers both public institutions and local communities. The initiative responds to the growing need for evidence-based decision-making, particularly in urban areas where socio-economic disparities, limited data literacy, and fragmented public–community communication hinder sustainable development efforts. Using participatory mapping, digital data collection, and community workshops, the program integrates statistical tools and informatics-based solutions to support transparent governance practices. Activities include capacity-building sessions, community needs assessments, data visualization training, and stakeholder forums designed to enhance cooperative problem-solving. Findings show that community members developed increased awareness of data-based decision processes, while local institutions improved their ability to integrate citizen input into planning. Participant feedback confirms higher trust levels, better communication pathways, and enhanced motivation to co-design development initiatives. The program demonstrates that data-driven social advocacy can strengthen relational accountability and foster long-term collaborations between stakeholders. This model offers a scalable and adaptable framework for cities in the Kurdistan Region seeking to implement more inclusive and sustainable governance strategies. Overall, the program contributes to the advancement of participatory governance by embedding statistical literacy and digital tools into community-centered development processes.

This study analyzes the strategic role of digital transformation in accelerating the development of the green economy in Azerbaijan. As global economic systems shift toward sustainability-oriented models, Azerbaijan has begun integrating digital technologies—such as smart energy systems, geographic information platforms, and digital monitoring tools—into its environmental and economic policies. These initiatives are designed to reduce carbon intensity, enhance resource efficiency, and modernize industrial sectors in alignment with international climate standards. The study employs a qualitative library-based approach supported by content analysis to assess state programs, institutional reforms, and policy documents related to digital governance and renewable energy deployment. The findings indicate that digital solutions facilitate transparent decision-making, optimize energy consumption, and support ecological innovations, making them essential components of Azerbaijan’s national development agenda. However, the transition remains constrained by infrastructural disparities, limited technological competencies, and regulatory gaps. The study argues that sustainable development goals cannot be fully realized without comprehensive digital integration, institutional coordination, and capacity-building initiatives. Thus, digitalization is not merely a supportive tool but a foundational mechanism for the advancement of the green economy and long-term socio-economic transformation in Azerbaijan.

This study examines how data-informed professional development can strengthen teacher assessment literacy amid the growing demands of the digital era. Using a qualitative design, the research combines library investigation and content analysis of scholarly literature published over the past decade related to digital assessment, teacher data literacy, and technology-supported instructional decision-making. Findings reveal that digital transformation in education requires teachers to master data interpretation skills, utilize technology-enhanced assessment tools, and develop ethical awareness regarding privacy and algorithmic bias. However, many teachers continue to face competency gaps, inadequate professional development, and challenges in integrating digital assessment practices effectively. The study highlights that meaningful professional development must be continuous, collaborative, evidence-based, and incorporate data literacy, AI literacy, and reflective pedagogical practice. Such an approach equips teachers to interpret complex data, design valid digital assessments, and make ethically responsible, evidence-driven instructional decisions. This research provides conceptual clarity and a foundation for designing comprehensive professional development frameworks aimed at enhancing teacher assessment literacy within rapidly evolving digital learning environments.

This study develops an architectural design framework integrating fun and playful spatial characteristics with futuristic, science-based approaches to enhance children’s engagement with science and technology learning. Traditional learning environments are often rigid and fail to stimulate curiosity, especially among children aged 7–11. Utilizing a qualitative conceptual analysis, this research synthesizes architectural theory, neuroscience learning principles, children’s spatial psychology, and science-based design methodologies. The results show that playful spatial elements—dynamic forms, color contrasts, sensory interactions, and imaginative environments—significantly improve motivation, exploration, and conceptual understanding. Futuristic design components further support scientific literacy by projecting technological possibilities and integrating interactive digital tools. The study produces a conceptual architectural model linking playfulness, scientific experience, and future-oriented visualization. It concludes that learning environments must be intentionally designed to merge emotional engagement, cognitive stimulation, and technological representation. The implications extend to the design of children’s museums, science centers, and early STEM learning facilities.

This study conceptually examines a self-supervised multi-scale fusion framework designed to enhance accuracy and computational efficiency in medical image segmentation, a domain where data scarcity and annotation cost remain major challenges. Traditional supervised approaches are constrained by their reliance on extensive labeled datasets, limiting applicability in real-world clinical environments. Self-supervised learning (SSL) mitigates this issue by extracting supervisory signals directly from unlabeled data, enabling the model to learn rich feature representations without human annotation. Simultaneously, multi-scale fusion architectures integrate global contextual information with fine-grained local features, supporting robust segmentation across varying anatomical structures and image resolutions. Through a qualitative methodology involving library research and content analysis, this study synthesizes state-of-the-art SSL-driven segmentation techniques and highlights how adaptive multi-scale fusion mechanisms address limitations of existing convolutional and transformer-based architectures. The analysis indicates that combining SSL and multi-scale strategies leads to more generalizable, scalable, and computationally efficient segmentation pipelines suitable for diverse medical imaging modalities. The proposed framework represents a promising direction for developing next-generation diagnostic tools capable of handling sparse labels, complex textures, and real-time deployment constraints.

This study aims to analyze the quality control of white crystal sugar production at ABC Sugar Factory using the Statistical Quality Control (SQC) method. The research employed a descriptive quantitative approach with a case study design. The primary data consisted of production volume and defective product data during the 2024 production period, while supporting data were obtained through observation and interviews with the Quality Control department. The analytical tools applied included check sheets, histograms, Pareto diagrams, p control charts, and fishbone diagrams. The results show that from a total production of 190,745.89 tons, defective products amounted to 66.70 tons, representing 0.33 percent of total output. The identified defects consisted of wet sugar at 45 percent, brownish sugar color at 30 percent, and oversized sugar crystals at 25 percent. Defective products occurred only during the first to third production periods, while no defects were observed from the fourth to seventh periods. The p chart analysis indicates that the production process was statistically out of control in the early periods but became stable and controlled in the subsequent periods. From a managerial perspective, these findings provide practical guidance for improving manufacturing quality through enhanced process control, equipment maintenance, and workforce capability development.

This study aims to analyze the factors influencing the income levels of pineapple farmers in Siabal-Abal V Village, Sipahutar Subdistrict, North Tapanuli Regency. The research focuses on several key variables, namely land size, production quantity, production tools, and farming experience, which are presumed to be associated with farmers’ income. A quantitative research approach was employed, using multiple linear regression analysis to examine the simultaneous and partial effects of each variable on the income of pineapple farmers. The population of this study comprised all pineapple farmers in Siabal-Abal V Village, with a sample of 65 respondents selected through a simple random sampling technique. Data were collected through interviews and structured questionnaires designed in accordance with the research objectives. The results of the data analysis indicate that, simultaneously, land size, production quantity, production tools, and farming experience have a significant effect on the income of pineapple farmers. However, the partial test results reveal that only land size has a positive and significant effect on farmers’ income. Meanwhile, production quantity, production tools, and farming experience do not show a statistically significant influence. These findings indicate that land size is the dominant factor in determining the income level of pineapple farmers in the study area. Therefore, improving access to agricultural land or optimizing the utilization of existing land is an important strategy for increasing the income of pineapple farmers in Siabal-Abal V Village.

Endek Bali weaving is a distinctive cultural heritage of Bali that has been increasingly applied to various product design elements, including interior accents and fashion media. While the use of Endek fabric has been applied to various bag accents, the integration of traditional fabrics in chef knife bags is still rare, resulting in monotonous designs. This study aims to design a chef knife bag incorporating the Endek Bali motif as part of a multifunctional product design. The chef knife bag not only functions as a bag for carrying kitchen knives but also as a stand or mat for knives during cooking events. This design uses synthetic leather, which closely resembles real leather but is more affordable and environmentally friendly. By incorporating the Endek Bali motif into this design, it is hoped that it will introduce Balinese culture to the global stage, particularly in the culinary and creative industries. Furthermore, this design offers a practical solution for culinary professionals who need easy-to-carry and functional tools for attending cooking events or competitions. Through this design, it is expected to enhance aesthetic value while supporting the preservation of Indonesian culture.

This study aims to analyze the educational service marketing strategies implemented by Pesantren Islam Internasional Al Andalus, Bogor, within the framework of Marketing 6.0. A qualitative approach with a case study design was employed to explore the institution’s marketing practices. Data were collected through in depth interviews, observations, and document reviews, and analyzed using thematic analysis to identify emerging strategic patterns. The findings reveal five key themes: strengthening value based Islamic and international branding, utilizing digital marketing strategies to expand promotional reach, applying personalized approaches in interactions with prospective students and parents, the critical role of human resources and alumni in shaping institutional reputation, and internal, external challenges affecting marketing effectiveness. These findings highlight that adopting Marketing 6.0 in Islamic boarding schools requires not only the use of digital tools but also the integration of spiritual values, humanized service, and consistent narrative communication. The study contributes to the literature on Islamic education marketing by offering new insights into a marketing model that aligns with value driven educational institutions in the digital era.

At the company PT. PLN (Persero) ULTG Madiun carried out many tests relay, one of which is intertrip testing relay distance. Intertrip testing relay distance is a test carried out between 2 (two) relay distance conducting bays in main substations that face each other. Intertrip testing relay distance must be done if replacement occursrelay, replacement of teleprotection equipment, changes to protection schemes, and changes to logic circuitsrelay which is related to the send or receive signal from the opposite substation. However, this test requires synchronization between two intertrip test tools relay distance at each substation. In this final project, it will be designed Time Syncronization As A Tool For Intertrip Relay Distance Testing, to make things easier for PT employees. PLN (Persero) ULTG Madiun when synchronizing two intertrip test equipment relay distance. All process control of this tool uses ESP32 Devkit V1. Meanwhile for displaying setting time for testing can be seen on the web assisted by GPS NEO-6M. The results obtained when testing the Dolopo by Ponorogo R and S phase distance intertrip relay were carried out at 12.00.00, experiencing a delay time of 0.0553 seconds when the PMT tripped. Meanwhile, the Dolopo by Ponorogo T phase distance intertrip relay test was carried out on 12.09.00 and experienced a delay of 0.0529 seconds when the PMT tripped. From two intertrip relay distance tests, the trip time delay is no more than 0.1 second.

The lack of interest of students in Fiqh learning is caused by the use of monotonous methods and media, which has an impact on the low activity of learning. To overcome this, interesting and interactive technology-based media innovations are needed. This research aims to develop a Quizlet-based learning media on the material of the Sacred Tools for class VII MTs Integrated Berkah Palangkan Raya to improve student learning activities. The research method uses the Researchand Development (R&D) approach with the ADDIE development model which includes the Analyze, Design, Develop, Implement, and Evaluate stages. The subjects of the study were 36 students of grade VII A. Data were obtained through observation and questionnaire of student responses to the use of Quizlet media. The results showed that learning using Quizlet obtained an average percentage of 89% in the "very feasible" category. This proves that Quizlet media is influential in increasing students' activeness and involvement during the Fiqh learning process. It can be concluded that the use of Quizlet-based learning media is effective in creating a more interesting, interactive, and encouraging active participation of students. This research is useful for the development of digital learning media innovations in Islamic education and provides new alternatives for teachers in optimizing the teaching and learning process.  

This literature review examines the effectiveness of planning history learning based on the Problem Based Learning (PBL) model in developing students critical thinking skills. The study is motivated by the persistent dominance of teacher-centered instruction in history classes, which limits students analytical and reflective engagement with historical issues. This research aims to analyze how structured PBL, based lesson planning especially in designing problems, learning activities, media, and evaluation tools. Can enhance critical historical reasoning. Using a qualitative descriptive method through a review of journal articles, books, and research reports, the study finds that effective PBL planning requires identifying authentic historical problems, organizing collaborative inquiry activities, providing adequate scaffolding, and using critical thinking oriented evaluation rubrics. The results show that PBL consistently improves students’ analytical, evaluative, and interpretive abilities when supported by systematic planning and sufficient learning resources. The study implies that teachers must strengthen the planning phase, particularly in preparing learning scenarios and assessment instruments, to maximize the impact of PBL on critical thinking development.