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This study explores how the organizational culture of Sanggar Kartika Budaya strengthens local artistic values through identity building, leadership, training strategies, and adaptive creativity. Rooted in a commitment to traditional arts, the sanggar positions local cultural expression not only as heritage but also as a living space for innovation. The research aims to uncover how these cultural elements shape member behavior, sustain artistic traditions, and support the regeneration of young artists. Using a qualitative approach with document analysis, this study examines official profiles, program descriptions, and relevant scholarly sources. The findings reveal that the sanggar’s cultural identity centered on the motto “Pegang Teguh Seni Tradisi Siap Berkreasi”serves as the backbone of its learning system and creative ecosystem. Leadership plays a central role in directing artistic vision while safeguarding cultural authenticity. Structured training, literacy activities, and collaborative performances effectively embed traditional values in new members. The sanggar also demonstrates an ability to evolve with modern trends through creative choreography, multimedia integration, and active participation in contemporary festivals, all while maintaining strong roots in local heritage. These findings highlight how a well-structured organizational culture can act as a powerful engine for cultural preservation and artistic resilience. The implications suggest that cultural institutions can remain relevant in a fast-changing era by blending heritage with innovation, ensuring that tradition continues to live meaningfully in the hands of future generations.

The era of globalization demands that education systems produce human resources who are skilled, adaptable, and capable of competing in the international job market. However, several issues arise in efforts to prepare graduates who are well aligned with industry requirements. These challenges include the mismatch between competencies taught in educational institutions and those required by the workforce, limited digital literacy and technological mastery, the lack of soft skills development, and insufficient collaboration between schools and industries. Rapid technological advancements often result in curricula that lag behind the current skill demands of the labor market. Moreover, many students still lack the mindset, creativity, and adaptability needed to face global competition. This literature-based study aims to identify the main educational problems in preparing human resources for the world of work and propose strategic directions for improvement. Findings highlight the necessity of competency-based curriculum transformation, enhanced vocational training, integration of technology-based learning, and stronger partnerships between education providers and industry sectors. Enhancing teacher quality is also crucial to ensure learning processes remain relevant to global demands. By optimizing the roles of all stakeholders, education can produce graduates who possess not only technical expertise but also essential 21st-century skills such as communication, collaboration, problem-solving, and leadership. Therefore, education becomes the primary foundation for preparing a generation capable of competing globally and contributing to national development.

The development of technology in the digital era has brought significant changes to global education systems, including in Indonesia. Digital transformation encourages learning models that are more flexible, interactive, and focused on 21st-century competencies. However, this progress also presents various challenges, particularly related to moral degradation among youth, unequal access to technology, and low digital literacy among teachers and students. This study aims to analyze character education models from a global perspective and evaluate the challenges and strategies for their implementation in Indonesia in the digital era. Using a qualitative research method with a library research approach, data were obtained from credible sources such as scientific journals, books, official reports, and national and international educational documents. The findings indicate that developed countries have successfully integrated technology into their curricula, teacher training, and educational policies, resulting in well- established digital learning ecosystems. In Indonesia, digitalization in education has grown rapidly, especially since the pandemic, but still faces obstacles such as limited infrastructure, varied levels of digital competence among teachers, and a lack of integration of digital pedagogy. In addition, student readiness and access inequality in frontier, outermost, and disadvantaged regions (3T) present further challenges in applying global education models

Training on creating Heyzine-Canva-based e-book learning media through the Subject Teacher Working Group (MGMP) aims to improve teachers' professional competence in facing educational demands and digital technology integration. This training activity is designed using demonstration, hands-on practice, and group discussion methods, so that it can accommodate various levels of technology mastery among teachers. Through this training, teachers are guided to develop interactive e-books, learning videos, and innovative digital quizzes using the Heyzine and Canva platforms. The training results show a significant improvement in teachers' skills in utilizing digital media, confidence in integrating technology into learning, and motivation to continue innovating. Additionally, this training also encourages collaboration among teachers and builds a professional network that supports continuous development. Challenges faced, such as variations in technology skills and device limitations, are addressed through ongoing mentoring and further training. This training contributes to improving the quality of learning, student engagement, and supports the achievement of national education goals in the digital era.

This study discusses the introduction of digital signature patterns using the Backpropagation method on Artificial Neural Network (JST) to identify a person's characteristics and potential. The increasing use of digital identities demands a verification system that is more secure, accurate, and adaptive to the variations of each individual's signature. The main problem faced in the signature recognition system is the low level of accuracy when the visual features of the signature have similarities between users, both in terms of shape, size, and stroke pressure. In addition, variations of signatures made by the same individual are also a challenge in the identification process. As a solution, this study implements Principal Component Analysis (PCA) to extract important features from the signature image before the training process using JST. PCA is used to reduce the data dimension so that the learning process becomes more efficient and optimal. A total of 80 signature images were used in this study, consisting of 60 training data and 20 test data. The results showed that the system was able to achieve an accuracy level of 92.5%. These findings prove that the combination of PCA and JST methods is effective in recognizing digital signature patterns and has the potential to be applied to digital security-based biometric identification systems.

The development of social media platforms like TikTok has created new spaces for digital economic activities, including the practive of thrifting, which has now become a trend among the public. However, government policies that block these activities have sparked various public reactions. This study aims to analyze public sentiment regarding the issue of thrifting bans on the TikTok platform using the Bidirectional Long Short-Term Memory (Bi-LSTM) method. This method was chosen because it can understand text context from both directions, allowing it to capture deeper semantic meaning. The dataset consist of 4,000 TikTok user comments collected through a crawling process. The research stages include data preprocessing, sentiment labeling, splitting training and test data, training the Bi-LSTM model, and evaluating performance using accuracy, precision, recall, and F1-score metrics. The research results show that the Bi-LSTM model achieved an accuracy of 86.15%, with stable classification performance and minimal error rate. These findings indicate that Bi-LSTM is effective for sentiment analysis of public opinions on Indonesian language social media, particularly on context specific policy issues. Further development can be carried out by adding pre-trained embeddings or attention mechanisms to improve the model’s performance.

This article explores the concept of a “House of Faith” as a holistic educational framework designed to build students’ character based on religious values. The fundamental idea of the House of Faith is likened to a school environment that provides a comfortable and safe space for students to develop their faith and noble character through learning activities connected to religious teachings. A religious school environment is created through everyday atmospheres that encourage the practice of worship, the presence of religious symbols, and community activities that strengthen students’ spirituality. Programs to reinforce religious spirit include activities such as communal prayers, religious studies, and social projects designed to gradually enhance students’ spiritual awareness. Teachers and educational staff play a highly effective role, acting as role models and facilitators in the learning process. Their approach to instilling faith and moral values involves interactive methods such as group discussions, inspirational stories, and personal reflection, all adapted to students’ developmental stages. Collaboration between the school and parents becomes a key factor in ensuring consistent support. This is carried out through regular meetings, joint workshops, and open communication that reinforces family values. The impact of religious spirit on students can be seen in increased discipline, social empathy, emotional resilience, and stronger academic motivation. However, implementation faces challenges such as limited curriculum time, diversity of student backgrounds, and cultural resistance. These challenges are addressed through solutions, including regular teacher training, program evaluation, and the integration of technology for distance learning. Overall, the article emphasizes that a school functioning as a House of Faith can shape young generations who are not only intellectually capable but also strong in faith and morals, contributing to a more harmonious and meaningful society.

Tourism is one of the sectors that plays an important role in boosting economic growth through travel activities and destination exploration. Tourists' preferences for nature-based tourism options, such as mountain hiking or beach tourism, are influenced by various factors, ranging from personal experiences and recreational interests to social characteristics. Therefore, a technology-based approach is needed to predict destination choice tendencies more accurately. As artificial intelligence technology develops, deep learning methods have been widely used in classification processes due to their ability to process large amounts of data and recognize complex patterns. In this study, a Multilayer Perceptron (MLP) model is used to classify tourists' preferences between mountain or beach destinations based on a survey dataset. The research stages include data processing, data splitting using a train-test split, model training, and performance evaluation using accuracy, precision, recall, and F1-score. The test results show that the MLP model is capable of achieving an accuracy rate of 99%, confirming that deep learning methods are effective in automatically mapping tourism preference trends. This research is expected to serve as a basis for the development of more personalized travel destination recommendation systems, as well as to support tourism management in formulating targeted promotional strategies.

This community engagement program aims to strengthen the economic capacity of community groups in Azerbaijan through an integrated model combining artificial intelligence (AI)–supported learning, digital skills enhancement, and practical economic training. Although Azerbaijan has demonstrated rapid digital progress, micro-entrepreneurs still face challenges related to limited digital literacy, insufficient financial planning capabilities, and the absence of structured mentorship that integrates emerging technologies. This program utilizes a participatory development approach involving baseline assessment, AI-driven training modules, intensive workshops, and mentoring over two months. A total of 45 participants from three community clusters were included. Quantitative findings reveal a 63% increase in digital literacy scores and a 67% adoption rate of AI-supported tools for marketing and financial planning. Qualitative insights show improved confidence in business decision-making, better understanding of market dynamics, and enhanced practical skills in budgeting and content creation. Participants also reported early indicators of improved sales performance and customer engagement. The integration of AI tools into community-based capacity-building initiatives demonstrates high effectiveness in accelerating digital readiness and entrepreneurial resilience. The program concludes that structured AI-based interventions can significantly empower grassroots communities in emerging economies. Limitations include the small sample size and short mentoring duration. Future research should explore larger populations and long-term economic outcomes.

Inclusive education in early childhood settings emphasizes equal learning opportunities for children with special needs within regular classrooms. However, the implementation of inclusive practices in public kindergarten classrooms presents various challenges for teachers, particularly due to diverse learner needs and limited institutional support. This study aims to explore the challenges faced by teachers in teaching children with special needs in public kindergarten classrooms. Employing a qualitative descriptive research design, the study was conducted in a public kindergarten that implements inclusive education. The participants were kindergarten teachers selected through purposive sampling based on their direct experience teaching children with special needs. Data were collected through semi-structured interviews and classroom observations, and were analyzed thematically to identify recurring patterns and issues. The findings indicate that teachers encounter significant challenges in managing children’s behavior and attention, implementing instructional adaptations without systematic planning, assessing inconsistent developmental progress, and coping with emotional stress. These challenges are further intensified by limited professional competence, lack of formal training in inclusive education, and minimal institutional support, including the absence of support teachers and specialist services. The study highlights the need for targeted professional development, structured instructional planning, and strengthened school support systems to ensure the effective and sustainable implementation of inclusive education in public kindergarten settings.

Artificial intelligence (AI) is currently a rapidly developing technology in all fields, particularly in finance and the military. This study aims to examine the application of Artificial Intelligence (AI) technology to support financial report analysis and internal control within Indonesian Navy (TNI AL) work units. Along with the development of information technology, AI has the potential to provide innovative solutions to improve efficiency, accuracy, and transparency in state financial management, particularly in a military environment that demands high accountability. The research method used was descriptive qualitative with a case study approach in several work units within the Indonesian Navy. Data were obtained through interviews, observations, and a review of relevant documents and literature. The results indicate that the use of AI, such as machine learning and data analytics, can identify unusual financial transaction patterns, predict potential irregularities, and improve the effectiveness of internal oversight. However, the implementation of this technology still faces challenges, such as limited digital infrastructure, the need for human resource training, and the need for policies that support sustainable digital transformation. This study recommends the gradual and strategic integration of AI as part of the reform of the Indonesian Navy's financial management system.

The Indonesian Navy Academy is a military educational institution that produces cadets to become professional and reliable Indonesian Navy officers. Cadets are required to have strong physical and mental strength to achieve responsiveness, resilience, and resilience in undergoing education, training, and upbringing. To support learning and training activities, quality food intake and service are required. Quality meal service is needed in order to increase the satisfaction of AAL cadets during meal activities in the Hadiwinarso Rds Loungeroom. For this reason, qualified Human Resources are needed to man the Hadiwinarso Rds Loungeroom, namely Cooks and Waiters in improving meal services for cadets. The researcher focused on personnel development and made it as input to optimize the cooks and waiters in the Hadwinarso Rds Loungeroom to improve meal services for cadets. In this study, the SWOT method was used to reveal internal and external factors that influence the performance of Waiters and Cooks. This study is expected to find the right optimization strategy by identifying strengths, weaknesses, opportunities, and threats. After conducting a SWOT analysis, a strategy was obtained to optimize Waiters and Cooks with a combination strategy of Weakness-Opportunity in quadrant III. W-O strategy (supporting the Turn-Around strategy) namely the organization faces enormous opportunities, but on the other hand faces several internal obstacles/weaknesses with the focus of the strategy being to minimize internal weaknesses so that it can seize better opportunities. The results of the study show that the W-O Strategy that the author found is Strategy 1: Given training/courses according to their fields so that they can work optimally and acquire new skills, Strategy 2: Cooks and Waiters have experience in supporting protocol activities at AAL well. Working well and having experience is capital to open up opportunities for PHL to be appointed as PNS or promoted to division head/kitchen head by considering the working time and amount of experience during AAL, Strategy 3: AAL needs to have standardization in recruiting workers so that later workers are ready to be placed to work according to their fields and open up opportunities to continue improving skills/abilities through courses/training provided by AAL. Meanwhile, to standardize recruitment, researchers provide specific requirements for job applicants interested in becoming cooks and waiters at the Loungeroom at Rd. S Hadi Winarso

This study aims to describe the difficulties faced by Geography teachers at SMAN 1 Sunggal in identifying students' learning potential and interests during the implementation of the Merdeka Curriculum. The research uses a descriptive qualitative approach with primary data consisting of in-depth interviews and non-participant observation of two experienced Geography teachers. The research findings indicate that teachers face major constraints, including limited time for formal diagnostic assessments, a lack of practical training on diagnostic assessments, a large number of students making individual observation difficult, and the absence of adequate assessment instruments. The teacher's efforts to overcome these difficulties include a personal approach to students, behavioral observation, and varied teaching methods, although these are not yet optimal in supporting differentiated learning. This research provides important recommendations for the development of teacher training and school policies to more effectively support the assessment of student potential and interests within the context of the Merdeka Curriculum.

Daily drinking water requirement for healthy individuals is a crucial factor in maintaining health and physiological balance. For individuals involved in intense physical activity or exercise, fluid requirements can increase significantly, with recommendations reaching 3 to 4 liters per day to replace fluid loss through sweat, so researchers consider it important to discuss the provision of clean drinking water installations with the application of Reverse Osmosis (RO) machines that utilize PDAM water as a source, which is in the Candrasa complex to support the fulfillment of drinking water needs for the Indonesian Navy Academy Cadets. AAL is a military educational institution that requires a supply of safe and high-quality drinking water for the Cadets so that the learning and training process can run smoothly. This study covers the daily drinking water needs of AAL Cadets, the current condition of the drinking water supply, and the concept of the RO machine itself in the Candrasa complex by utilizing PDAM water to produce healthy and suitable drinking water for AAL Cadets. The results of this study are expected to increase the availability of clean and safe drinking water for AAL cadets, facilitate drinking water distribution in the Candrasa complex, support their quality of life during their education, training, and foster care, and help maintain their health and safety. This study also underscores the importance of efficient and sustainable water management in the military environment.

This study examines the emerging paradigm of federated intelligence architectures as a secure, privacy-preserving, and scalable foundation for data-driven innovation across AI, IoT, and cloud ecosystems. With billions of interconnected devices generating massive heterogeneous data, traditional centralized machine-learning models face critical limitations, including privacy risks, regulatory constraints, latency, and single points of failure. Through a qualitative content-analysis approach, this paper synthesizes contemporary research on federated learning, blockchain integration, zero-trust governance, and edge intelligence to formulate a comprehensive understanding of distributed AI infrastructures. The findings highlight that federated learning enables collaborative model training without exposing raw data, significantly enhancing privacy, security, and compliance. Moreover, combining blockchain with federated learning strengthens auditability, model integrity, and trust, while zero-trust principles provide continuous verification and adaptive security enforcement across devices. Edge-AI integration further reduces latency and bandwidth consumption, enabling real-time analytics in resource-constrained IoT environments. Collectively, these elements contribute to the formation of cognitive ecosystems capable of autonomous, interoperable, and context-aware operations. The study underscores the transformative potential of federated intelligence while identifying critical gaps that inform future research trajectories.

This community service program aims to enhance students’ knowledge and awareness regarding natural cosmetic formulations through training on the development of a natural deodorant balm, “Nature DeoBalm.” The activity was conducted at the Entrepreneurship Laboratory of UIN Palangka Raya and involved fifth-semester students of the Biology Education Department as participants. The training integrates promotive and applicative approaches, combining theoretical education on the risks of synthetic deodorants with direct observation of the production process for natural deodorant balm. The program emphasized the use of safe, plant-based ingredients such as beeswax, coconut oil, shea butter, vitamin E, and essential oils, which are known for their antibacterial, moisturizing, and skin-protecting properties. The implementation included several stages: preparation, material presentation, demonstration of the formulation process, product observation, evaluation, and documentation. Results showed that students demonstrated increased understanding of natural cosmetic components, formulation techniques, and the benefits of natural deodorants. They also developed a heightened awareness of environmentally friendly personal care products and showed interest in exploring entrepreneurial opportunities in herbal-based cosmetics. This program highlights the importance of introducing natural cosmetic innovation in higher education environments as a way to build scientific literacy, practical skills, and entrepreneurial competence. Overall, the activity successfully provided meaningful learning experiences and promoted the utilization of natural ingredients as sustainable alternatives to synthetic deodorant products.

In today's digital era, the dance learning process is no longer limited to conventional studios. Various technologies, ranging from instructional videos and interactive media to virtual reality, are increasingly being utilized in dance education. Through a systematic literature review (SLR), this study examines the effectiveness of various dance learning tools based on empirical findings and development studies. This study compiles, compares, and summarizes research findings on the use of various media (such as video, VR, interactive PowerPoint, and augmented reality) and their impact on several aspects, including material comprehension, movement skills, aesthetic appreciation, and student engagement. The analysis shows that digital technology can improve dance learning outcomes across the cognitive, psychomotor, and motivational domains. However, challenges such as limited technological facilities and the need for teacher training still need to be addressed. This study also provides recommendations for educators and dance learning developers to integrate technology in harmony with appropriate pedagogical approaches.

This Community Service (PKM) activity aims to improve artificial intelligence (AI) literacy in students majoring in Visual Communication Design (DKV) at SMK Muhammadiyah 2 Palembang through Canva-based training. The development of AI technology has brought about a significant change in the world of graphic design, where features such as Magic Design, Text-to-Image, and Background Remover are now widely used to support the creative process. However, most vocational school students are still passive users, lacking an understanding of the AI principles behind the technology. Through a Project-Based Learning (PjBL) and Active Learning approach with a demo–practice–reflection model, this activity is designed so that students are not only able to use the AI features in Canva, but also understand the work concepts, benefits, and ethics of using them. The activity was conducted over two days, involving 30 DKV class XI students. The evaluation of the results showed a significant increase in the aspects of understanding AI concepts (48%), motivation to learn design (35%), and creativity of works (32%). Students also show an increase in learning independence and digital ethical awareness. These results confirm that AI-based learning through Canva is effective in building AI literacy, creativity, and student readiness to face the technology-based creative industry. This activity is recommended to be expanded to teachers and other departments to strengthen digital literacy in the vocational education environment.  

This community service activity aims to introduce and train students in the process of making AromaKara, a natural air freshener made from kitchen spices as a substitute for artificial fragrances containing volatile organic compounds (VOCs). The method applied in this community service activity is the Participatory Action Research (PAR) method, namely training and direct instruction which was carried out on Thursday, November 20, 2025, at 07.00 WIB at MTsN 1 Palangka Raya City, with a focus on 32 students in grades 8-1. The results of this activity showed an increase in students' understanding of the risks of using synthetic fragrances, the benefits of using natural ingredients, and environmental awareness. Students were also able to make Aromakara products independently and showed high interest during the activity. This training played a role in strengthening students' environmental literacy, scientific literacy, and entrepreneurial interests. Overall, this community service activity demonstrated the effectiveness of experiential learning in the MBKM program and the potential for sustainable development within the school environment.

This study examines the role of teachers as influencers in 21st-century education, particularly in developing students’ intelligence and character through the use of digital media and technology. The digital transformation requires teachers to serve not only as transmitters of knowledge but also as public figures capable of providing positive influence through digital behavior and communication. The purpose of this study is to analyze how teachers perform their roles as educational influencers and how this impacts students’ intellectual and character development. This research employs a literature study method by reviewing scientific sources such as books, articles, journals, and relevant research reports. The analysis was conducted using a descriptive-analytical approach to identify patterns, ideas, and strategies used by teachers in integrating character values and digital literacy. The findings indicate that teachers with strong digital competence and personal integrity are able to create positive influence through educational content, digital role modeling, and ethical communication. The implications highlight the importance of strengthening teachers’ digital literacy, educational policy support, and continuous professional training to create a digital learning ecosystem that is character-based, adaptive, and responsive to contemporary challenges.