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The integration of Artificial Intelligence (AI) into educational settings, particularly in formative assessments, offers significant benefits in terms of personalized learning, real time feedback, and increased efficiency. However, the successful implementation of AI driven formative assessments depends not only on technological capabilities but also on socio cultural and organizational factors that shape its adoption. This study explores the socio technical factors influencing the use of AI in formative assessments, emphasizing the importance of considering cultural diversity, institutional culture, and educators' beliefs. AI technologies, while powerful in automating grading and providing personalized assessments, often face limitations in addressing complex student responses that require human judgment. Furthermore, cultural factors, such as students' prior exposure to technology and different cultural attitudes towards AI, play a critical role in the acceptance and effectiveness of these tools. Organizational factors, including leadership support, digital literacy, and the readiness of institutions to adopt AI, are also key determinants in the successful implementation of AI systems in education. Teachers’ beliefs about assessment influence their acceptance and use of AI tools, highlighting the need for professional development and training to ensure that AI enhances pedagogical goals rather than replacing human expertise. The study concludes that the alignment of technology, culture, and assessment beliefs is essential for the effective use of AI driven formative assessments in educational settings. Recommendations for educational institutions include adopting a socio technical approach to AI integration, with a focus on providing resources, training, and fostering a culture of innovation. Future research directions should focus on expanding studies to diverse educational contexts, conducting longitudinal research on AI’s impact on learning outcomes, and exploring additional socio technical frameworks to guide AI adoption in education.

Arabic grammar (nahwu) instruction has long been dominated by rule-based approaches that emphasize memorization and formal analysis, often resulting in rigid learning structures and limited responsiveness to learners’ cognitive diversity. While such approaches play an important role in preserving grammatical accuracy, they frequently overlook individual learning trajectories, cognitive readiness, and adaptive instructional needs. In the era of artificial intelligence (AI), language education is increasingly shaped by adaptive learning systems that personalize content, pacing, and instructional strategies based on learners’ profiles. This study aims to reconceptualize Arabic grammar instruction by proposing a conceptual framework that integrates traditional nahwu principles with adaptive learning systems informed by AI. Using a qualitative conceptual analysis, this paper synthesizes classical Arabic grammar pedagogy, contemporary theories of adaptive learning, and recent developments in AI-supported language instruction. The proposed framework highlights key components, including learner profiling, cognitive-level alignment, hierarchical nahwu content structuring, and AI-assisted scaffolding mechanisms. The findings suggest that adaptive learning systems offer significant pedagogical potential to transform nahwu instruction from a static, rule-centered model into a flexible, learner-centered process. This reconceptualization is expected to enhance grammatical comprehension, reduce cognitive overload, and promote learner autonomy in Arabic language education, particularly in Islamic higher education contexts. The study concludes by discussing pedagogical implications and directions for future empirical research on AI-assisted Arabic grammar learning.

Lovebysisdaisy is a micro, small, and medium enterprise (MSME) producing handmade phone charm accessories and operating as a home-based business with limited digital marketing capabilities. This community service program aimed to strengthen digital marketing through Instagram optimization and the utilization of Shopee as an e-commerce platform. A participatory approach was applied, involving the business owner from problem identification to evaluation. Methods included observation, interviews, and digital documentation, followed by assistance in content development and Shopee store management. The results show that structured Instagram content improved visual consistency and audience engagement, while the establishment of a Shopee store enabled organized product catalogs and initial customer interactions. These outcomes indicate increased digital awareness and readiness of the MSME to implement sustainable online marketing strategies and expand market access.

This study aims to analyze the implementation of the Balanced Scorecard (BSC) as a strategic performance evaluation tool in the era of digital transformation. Using a descriptive qualitative approach within the social constructivist paradigm, data were collected through in-depth interviews, non-participant observation, and document analysis in three organizations undergoing digitalization. Thematic analysis (Braun & Clarke, 2006) identified four main themes in the application of the BSC: digital strategy alignment, digital readiness and data integration, a culture of learning and innovation, and adaptive leadership transformation. The findings indicate that the BSC functions not only as a performance measurement system but also as an adaptive, collaborative, and data-driven strategic management framework. The integration of digital technologies accelerates decision-making processes and strengthens reflective organizational culture. Theoretically, this study extends the classical BSC model of Kaplan and Norton (1996, 2001) toward a Digital Balanced Scorecard that emphasizes synergy among strategy, data, and organizational learning. Practically, the results highlight the importance of digital readiness, an innovation-oriented culture, and adaptive leadership as key foundations for successful BSC implementation in the era of digital disruption.

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.

This community service program aims to optimize construction project planning through assistance in preparing a business feasibility study at PT Sahabat Anugrah Sejati. The construction sector is a strategic industry that requires effective resource management, proper risk mitigation, and accurate planning to ensure project success. Therefore, the program supported the partner in analyzing financial, managerial, market, and economic aspects prior to making investment decisions for the proposed project. The results show that the project is feasible based on the Net Present Value (NPV) and Internal Rate of Return (IRR) analyses. An efficient organizational structure, a competent management team, and strong supervision mechanisms further strengthen the project’s operational readiness. Increasing demand for construction services also enhances the company’s market prospects. However, several areas still require improvement, including heavy equipment utilization, material efficiency, and digital marketing strategies. This program provides strategic recommendations to help PT Sahabat Anugrah Sejati improve project feasibility, operational effectiveness, and long-term business sustainability.

The integration of Artificial Intelligence (AI) in higher education has led to the increasing use of AI-powered adaptive learning models that support personalized and data-driven learning. However, studies examining preservice teachers’ perceptions of these models remain limited, despite their important role in future classroom implementation. This study aims to explore preservice teachers’ perceptions of AI-powered adaptive learning in higher education, focusing on perceived usefulness, learning adaptivity, learning experience, and perceived concerns. A descriptive qualitative research design was employed involving 53 preservice teachers from various universities. Data were collected using a Likert-scale questionnaire and open-ended questions. Quantitative data were analyzed descriptively using percentage distributions, while qualitative data were examined through simple thematic analysis. The findings reveal that preservice teachers generally demonstrate positive perceptions of AIpowered adaptive learning, particularly in terms of learning effectiveness, adaptability, and engagement. Nevertheless, concerns related to over-reliance on AI, ethical issues, and data privacy were also identified. These results indicate that preservice teachers show readiness to engage with AI-supported learning, while highlighting the need for teacher education programs to promote responsible and pedagogically informed AI integration.

The transformation of villages into digital villages requires the availability of accurate and integrated data, one of which is geospatial data. Wonoayu Village, Pilangkenceng District, still faces problems such as overlapping land use and limited well-documented geospatial data. This community service activity aims to improve the digital competence of village officials through education on geospatial data management and the practice of creating analog maps using the QGIS application. The implementation method includes partner needs analysis, material preparation, training implementation through interactive lectures, technical demonstrations, hands-on practice, and evaluation using pre- and post-tests. The activity participants consisted of eight Wonoayu Village officials. The results of the activity showed an increase in participants' understanding of basic geospatial concepts, as indicated by an increase in the evaluation score from 72 in the pre-test to 85 in the post-test. In addition, participants were able to process spatial data, digitize it, and produce simple thematic maps that include the coordinates of village officials, educational institutions, and UMKM. This activity has a positive impact on the village's readiness to support data-based development planning and is the first step in realizing a sustainable digital village.

The integration of information and communication technology (ICT) is essential for supporting student-centered learning and developing 21st-century skills. However, many primary school teachers still experience difficulties in implementing ICT meaningfully due to limited digital pedagogical competence and a lack of contextualized professional development, particularly in primary and Islamic school contexts. This study aims to explore the implementation and outcomes of an ICT-based teacher training programs conducted through a field study approach, focusing on its influence on teachers’ digital pedagogical competence and instructional practices. A qualitative descriptive field study design was employed. Participants were primary school teachers from an Islamic public school in Indonesia who took part in a six-session ICT training programs. Data were collected through observations, documentation of teachers’ digital products, and reflective field notes, and analyzed using thematic analysis. The findings reveal improvements in teachers’ pedagogical understanding of ICT, technical skills, and readiness for classroom implementation. Teachers produced various ICT-based learning media aligned with instructional objectives, including interactive quizzes, game-based activities, visual materials, animated videos, and digital classrooms. High levels of engagement and collaboration were observed despite infrastructural challenges. Field-based, practice-oriented ICT training effectively bridges technological skills and pedagogical application, supporting sustainable digital pedagogy in primary education.

This Community Service activity aims to foster a spirit of mutual cooperation and to assist local fishermen engaged in seaweed businesses in the processing and cleaning of their harvests in the Amal Beach Area, East Tarakan District. Seaweed harvested from the sea needs to undergo a thorough cleaning process to maintain its quality, ensure market readiness, and meet industry standards. The activity was carried out by six implementers who collaborated directly with the local fishermen through mutual cooperation, seaweed cleaning, and education on environmentally friendly sea product management. The implementation methods included field observation, guidance, and hands-on practice at the fishermen’s business locations to provide practical understanding. The results indicated improved efficiency in the seaweed processing chain, from cleaning to storage, thereby reducing the risk of damage and quality loss. Additionally, the fishermen’s awareness of the importance of maintaining cleanliness and the balance of coastal ecosystems increased significantly. This activity also strengthened social bonds between students and the fishing community, fostering harmonious communication, and instilling values of togetherness, environmental care, and social responsibility. The positive impact of this program is expected to serve as a sustainable model for sea product management while promoting a collaborative culture between academics and coastal communities.

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This study aims to analyze and synthesize research findings related to the integration of Buddhist values in the development of interactive learning media. The research employed a qualitative approach using a systematic literature review method on fifty selected articles published between 2018 and 2025. Data were collected through a structured process of identification, screening, and extraction from primary sources consisting of accredited national journals and reputable international journals. The data were analyzed using thematic and comparative synthesis techniques to identify patterns, effectiveness, and research gaps. The results show that interactive learning media based on Buddhist values can enhance students’ motivation, moral understanding, and engagement through the use of technologies such as gamification, educational animation, augmented reality, and mobile applications. The effectiveness of these media is strongly influenced by the alignment between Buddhist ethical principles, instructional design, and the cultural context of learning. Furthermore, the study reveals that the successful integration of spiritual values into digital media depends on educators’ readiness, digital literacy, and technological infrastructure support.

This community service project aimed to strengthen the capacity of Posyandu cadres in performing early detection of child growth and development (SDIDTK) through a community-based intervention at Babadan Health Center, Indramayu. Limited knowledge, lack of assessment tools, and minimal continuous assistance were identified as key problems among cadres. The intervention involved training, mentoring, simulation practice, and monitoring–evaluation using participatory and human-centered approaches. Thirty cadres participated in the program. The results showed an improvement in cadres’ understanding of SDIDTK concepts, increased ability to conduct stimulation and screening using KPSP, and enhanced readiness to educate parents during Posyandu activities. This community-based approach successfully strengthened cadres’ competency and supported optimal child development monitoring in the community. The program is recommended to be continued through periodic mentoring and integration with local health programs.

This study aims to examine the role of transformational leadership in enhancing innovative work behavior through organizational learning readiness and knowledge sharing behavior as mediating variables among employees of Brighton Real Estate Spazio Surabaya. Employing a quantitative explanatory research design, data were collected through questionnaires distributed to 98 employees of Brighton Real Estate Spazio Surabaya. Data were analyzed using the Smart-PLS 3.2 software for hypothesis testing. The findings indicate that transformational leadership has a positive and significant effect (β = 0.311) on organizational learning readiness, and a positive and significant effect (β = 0.333) on knowledge sharing behavior. Organizational learning readiness also positively and significantly affects knowledge sharing behavior (β = 0.359). However, transformational leadership shows a negative and insignificant effect (β = −0.033) on innovative work behavior, while organizational learning readiness exhibits a positive but insignificant effect (β = 0.167) on innovative work behavior. Interestingly, knowledge sharing behavior demonstrates a negative and significant effect (β = −0.514) on innovative work behavior.

The rapid advancement of digital technologies and Artificial Intelligence (AI) has fundamentally reshaped the management and development of the tourism industry. Digital transformation strategies offer substantial opportunities to enhance destination competitiveness while simultaneously supporting economic, social, and environmental sustainability. This study aims to systematically examine the role of digital transformation and AI in strengthening sustainable tourism competitiveness through a literature review approach. A total of 42 peer-reviewed journal articles published between 2019 and 2025 were analyzed, drawing from Scopus, Web of Science, and Google Scholar. The analysis employed thematic synthesis to identify dominant patterns, conceptual relationships, and emerging themes across the literature. The findings indicate that AI-driven digital transformation enhances operational efficiency, enables personalized tourist experiences, supports data-informed resource management, and facilitates the development of smart tourism destinations. Nevertheless, persistent challenges related to human resource readiness, digital inequality, data governance, and ethical considerations remain evident. This review provides an integrated conceptual perspective on digital transformation and AI in sustainable tourism competitiveness and offers insights for policymakers, practitioners, and future research.

Business legality is an urgent need for MSMEs, particularly in the food sector, which faces strict regulations and high risks to food safety. However, many MSMEs still lack a Business Identification Number (NIB) or Intellectual Property Rights (IPR) protection due to low digital literacy and a lack of understanding of licensing procedures. This situation emphasizes the urgency of mentoring so that MSMEs can operate legally and be legally protected. This Community Service Program (PKM) aims to assist the Golden Kriuq MSME in obtaining an NIB and increase business owners' understanding of the importance of IPR, branding, and digital marketing. The implementation method uses a qualitative approach through observation, interviews, education, documentation, and direct mentoring. Activities carried out include NIB registration through the OSS Indonesia application, logo, banner, and menu design, business Instagram account creation, location determination on Google Maps, and education on the stages of brand registration through the DJKI system. The results show that Golden Kriuq successfully obtained an NIB, has a more consistent visual identity, and has a more professional digital presence. The program's impact is evident in increased awareness of legality, digital administration readiness, and businesses' ability to compete more professionally and sustainably.

Strengthening reading–writing literacy and numeracy has become a strategic priority in primary education, particularly in preparing prospective teachers who are capable of integrating these competencies contextually into classroom practice. This community engagement program aimed to enhance the conceptual understanding, pedagogical skills, and professional readiness of students from the Primary School Teacher Education Program (PGSD) at Universitas Satya Wiyata Mandala (USWIM) Nabire through a practice-based literacy and numeracy training model. The program was conducted over three days and involved 100 active students. The training adopted a practice-based approach consisting of conceptual reinforcement sessions, group discussions, lesson plan development, and microteaching simulations. Data were collected through observation, analysis of instructional materials, and written reflections, and analyzed using a descriptive qualitative approach. The findings indicate a significant shift in students’ understanding of literacy and numeracy—from technical skills to contextual and reasoning-based competencies. Participants demonstrated improved ability to design literacy–numeracy-based lesson plans and delivered more dialogic and participatory microteaching sessions. The program also fostered stronger professional awareness regarding the role of teachers in building foundational literacy and numeracy skills in primary education. Overall, the practice-based training proved effective in strengthening the professional preparedness of prospective primary school teachers in a contextual and systematic manner.

The production sector at both the district and city levels is crucial for fostering structural change and boosting economic growth in specific areas. Still, many regions struggle with issues such as linking supply chains, readiness for technology, quality of labor, and efficient policies. This research intends to examine the strategies of the manufacturing sector at the district and city levels to enhance regional competitiveness and promote sustainable economic growth. The study utilizes a descriptive qualitative method based on a review of literature from academic journals, policy papers, and official statistics related to manufacturing progress. Results reveal that several important factors strongly affect regional manufacturing growth. These include the connection of local supply chains, industry strategies focused on the market, the implementation of digital and smart manufacturing methods, innovation encouraged by educational institutions and organizations, and the influence of local governments in developing an effective industrial policy atmosphere. Furthermore, creating designated industrial areas and managing operations efficiently significantly helps attract investments and boost the manufacturing output of regions. The research concludes that a cohesive and tailored manufacturing strategy for each region is vital for improving local productivity, generating jobs, and enhancing economic stability at both district and city scales.

This study aims to analyze the implementation of artificial intelligence in economics learning within the context of the Merdeka Curriculum and to examine its alignment with deep learning principles. The study employed a qualitative approach using a case study design conducted at SMAN 1 Boyolali. The research participants included economics teachers and eleventh grade students. Data were collected through classroom observations, in depth interviews, and document analysis. Data analysis was carried out interactively through data reduction, data display, and conclusion drawing and verification. The findings indicate that the use of artificial intelligence in economics learning remains limited and has not been systematically integrated into pedagogical design. AI is primarily utilized as a supporting tool for lesson preparation and concept clarification rather than for adaptive learning, data driven assessment, or the enhancement of students’ critical thinking skills. Although students demonstrated positive responses toward AI assisted learning, several constraints were identified, including teachers’ limited pedagogical competence in AI integration, the absence of deep learning based instructional design, and infrastructural challenges. These findings suggest that the effectiveness of artificial intelligence in economics education depends not merely on technological availability, but on the alignment between pedagogy, curriculum policy, and human resource readiness.

Advances in digital technology have led to significant transformations in management accounting practices, particularly with the use of cloud accounting, big data analytics, artificial intelligence (AI), and digital-based management accounting information systems. These changes have resulted in a shift in the function of management accounting from merely a documentation tool to a strategic decision support system that provides information quickly, accurately, and in real time. This study aims to analyze the implementation of management accounting in the digital business era, identify the obstacles faced by organizations in the digitization process, and explain the opportunities that can be utilized to improve the efficiency of financial management systems. The research method applies a qualitative approach by conducting a literature study that reviews a number of journals, books, and scientific documents related to the topic. The research findings indicate that digitization has a positive impact on operational efficiency, clarity of information, and the quality of managerial decision-making. However, organizations still encounter various challenges, such as low human resource technological capabilities, complexity in system integration, and increased threats to data security. This study concludes that the implementation of digital management accounting is a strategic necessity for companies in the modern business era, requiring technological readiness, increased human resource capacity, and internal policies that support a complete digital transformation process.