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Early childhood education is a fundamental phase in the formation of children's character, literacy skills, and social skills. However, children's basic literacy skills in various regions of Indonesia, including Aisyiyah 2 Aimas Kindergarten, Southwest Papua, are still relatively low, exacerbated by limited learning media, conventional teaching approaches, and teachers' lack of understanding of inclusive education and positive discipline. This study aims to analyze the implementation of basic literacy training with inclusive education and its impact on improving teacher competence. The method used is a one group pretest in the context of community service, involving six teachers as subjects. The program is carried out through three stages: pre-training (observation, interview, and pretest), training (literacy materials based on the DUBT model—Listen, Speak, Read, Write; inclusive education; and positive discipline), and post-training (posttest, classroom observation, reflection, and mentoring). The results showed a significant increase in teacher competence, as shown by the increase in the average pretest score from 57.5 to 84.8 in the posttest. In addition, 83% of teachers are able to implement literacy practices such as reading picture stories, letter cards, reading corners, and dialogue interactions with children. Teachers also began to show acceptance of children's diversity and applied positive discipline without punishment. These findings show that inclusion-based literacy training is effective in improving teachers' pedagogical knowledge and practices. This research emphasizes the importance of developing adaptive, humanist, and equitable literacy as the foundation of early childhood learning.

The widespread use of TikTok across all age groups, including schoolchildren, has raised concerns regarding their social-emotional development. This study aims to analyze the impact of TikTok use on the social-emotional development of elementary school children aged 7-12. The study used a descriptive qualitative method. Data were collected through questionnaires with 17 students in the Jepara area, as well as questionnaires with 10 parents as supporting data. The results indicate that TikTok use has both positive and negative impacts. Positively, TikTok increases self-confidence, creativity, and facilitates conversation in social interactions. However, negatively, 64.7% of students use TikTok for more than two hours per day, 70.6% of children feel anxious if not accessing TikTok, and 47.1% experience sleep disturbances. Furthermore, the social-emotional aspect presents a serious challenge, with anger or irritation arising when usage time is limited. This study concludes that although children prioritize learning, the negative impact of TikTok on social-emotional learning requires active parental supervision.

Information security is an essential aspect of digital communication, particularly in the exchange of text-based messages through open networks. Messages transmitted without protection are vulnerable to interception and unauthorized modification. One classical cryptographic technique that remains relevant as a foundational learning tool is the Caesar Cipher algorithm. This study aims to implement the Caesar Cipher algorithm for message encryption and decryption and to analyze its effectiveness and security level. The research method employed is a descriptive approach through literature review and a case study by applying character-shift techniques to text messages. The results indicate that the Caesar Cipher algorithm successfully transforms plaintext into ciphertext and restores it back to its original form through the decryption process. Although the algorithm is simple and easy to implement, it has significant limitations in terms of security due to its small key space and vulnerability to brute-force attacks. Therefore, Caesar Cipher is not suitable for protecting sensitive data but remains valuable as an introductory model for understanding basic cryptographic concepts.

This study was conducted based on the idea that understanding the values of worship contained in the Qur'an plays an important role in shaping the faith, obedience, and religious behavior of Muslims. Worship education is not only related to the formal and ritual implementation of religious commands, but also significantly influences the formation of attitudes, personality, and character in daily life. Therefore, an in-depth study of the ideas and foundations of worship education in the Qur'an is necessary so that these values can be properly understood and applied, especially in the field of education. This research employs a qualitative method with a literature study approach, focusing on the analysis of Qur'anic verses related to worship. It is supported by various sources such as tafsir books, Islamic education literature, and relevant scientific references. The findings indicate that worship education in the Qur'an emphasizes strengthening faith in Allah, developing consistency in worship practices, and fostering noble character. Furthermore, worship education helps balance the relationship between humans and the Creator while also enhancing social interactions among individuals. The values of worship contribute to the development of spiritual awareness, discipline, moral responsibility, and positive social behavior. In conclusion, worship education based on the Qur'an serves as a fundamental foundation for shaping Muslims who are faithful, possess good character, and are able to practice Islamic values comprehensively in their daily lives.

The creative economy industry serves as a strategic pillar of the national economy, experiencing significant transformation in the digital era. This study aims to comprehensively analyze the pattern of human resource (HR) competency gaps within priority subsectors of Indonesia's creative economy and formulate effective, multi-stakeholder development strategies. Employing a Systematic Literature Review (SLR) methodology, this research rigorously analyzes 30 scientific journal articles, government reports, and publications from global institutions published between 2014 and 2024. The findings delineate three primary clusters of competency gaps: (1) The Digital-Technical Competency Gap, encompassing deficiencies in data analytics, specialized software mastery, and digital content creation tools; (2) The Digital-Business Competency Gap, which includes shortcomings in digital financial literacy, online business model development, and management of digital intellectual property rights; and (3) The Social-Cognitive Competency Gap, highlighting needs in adaptability, complex problem-solving, and effective virtual collaboration. In response, this paper proposes an integrative strategic framework grounded in a collaborative multi-stakeholder approach. Key recommendations include revitalizing educational curricula through industry-embedded learning and micro-credential integration, developing agile and accessible training ecosystems featuring bootcamps and digital platforms, and fostering supportive policies through fiscal incentives and the alignment of national qualification frameworks with digital skill standards. The successful implementation of this synergistic strategy is expected to significantly enhance the adaptability, innovation capacity, and global competitiveness of Indonesia's creative workforce, thereby ensuring the sustainable growth of the creative economy sector in the face of rapid digital disruption.

Graph theory as a branch of discrete mathematics has experienced significant development in its application to modern complex network systems, particularly in digital social networks and transportation systems. This research aims to analyze fundamental concepts of graph theory, examine characteristics of cycle detection algorithms along with their computational complexity, investigate their application in digital social network analysis, and explore their implementation in digital transportation system optimization. The research method employs a qualitative approach with library research focusing on scientific literature from 2020-2025 period from accredited academic databases such as Scopus, Web of Science, and IEEE Xplore, utilizing thematic analysis techniques to identify meaningful patterns from the examined literature. Research findings indicate that fundamental graph theory concepts including vertices, edges, and graph classifications form the foundation for relational structure modeling. Cycle detection algorithms such as Depth-First Search, Union-Find, and Tarjan demonstrate effectiveness with O(V+E) complexity for large-scale graphs. Applications in digital social networks facilitate community identification through Multi-View Clustering, centrality analysis for influencer detection, and understanding viral information dissemination patterns. Implementation in digital transportation systems demonstrates route planning optimization using Dijkstra and Bellman-Ford algorithms, vulnerability analysis through articulation point and bridge identification, and bottleneck detection with betweenness centrality. The research concludes that integration of graph theory in discrete mathematics education enhances critical thinking skills and real-world application understanding, with recommendations for algorithm development for massive dynamic graphs and machine learning integration in graph algorithm optimization.

This study aims to describe the implementation of the principles of tawassuth, tawazun, and tasamuh in religious activities at Islamic boarding school Al-Manshuriyah Plered-Purwakarta, as well as to analyze the supporting factors, challenges, and their impact on shaping the moderate character of the the students. This research employs a qualitative approach with a descriptive method. Data were collected through observation, interviews, and documentation. The findings indicate that the implementation of Ahlussunnah wal Jama’ah (Aswaja) values has been carried out effectively through various programs such as routine Islamic study sessions, Qur’an reading, congregational prayer, commemoration of Islamic holidays, and social-religious activities. The principle of tawassuth is reflected in the congregation’s moderate attitude in understanding religious texts, tawazun is demonstrated through the balance between worship activities and social engagement, while tasamuh is manifested through harmonious interactions and appreciation of differences. Supporting factors include visionary leadership and a conducive learning environment, whereas inhibiting factors involve the diverse backgrounds of community members and limited facilities. The implementation of Aswaja values has positively contributed to the development of moderate, tolerant, and religious character among the congregation. This study reinforces the importance of Islamic boarding school as a center for cultivating Wasathiyah-based Islamic character in society.

This study aims to examine and compare various findings from previous research on the effectiveness of online learning among university students in higher education settings in order to obtain a comprehensive general conclusion. The research method employed is a literature review using a content analysis approach of scholarly publications published between 2019 and 2025. The data sources include relevant national and international journal articles focusing on online learning in higher education. The results of the review indicate that the effectiveness of online learning is influenced by three interrelated main factors. Psychological factors include learning motivation, students’ perceptions of online learning, and the emotional conditions experienced during the learning process. Pedagogical factors encompass lecturers’ creativity in designing learning activities, the selection of appropriate teaching methods, and the use of interactive and varied learning media. Meanwhile, technical or environmental factors include the availability and ease of access to learning platforms, the quality of internet connectivity, and supportive learning environments. Online learning offers several positive impacts, such as flexibility in learning time, cost efficiency, and enhanced student experience in utilizing digital technology. However, it also has the potential to generate negative effects, including boredom, stress, and difficulties in understanding course material when technical barriers are not resolved and learning activities are monotonous. Therefore, optimal management of psychological, pedagogical, and technical factors is essential to improve the effectiveness of online learning for university students.

This study aims to determine the effect of implementing the Problem-Based Learning (PBL) model on student learning outcomes in the Ignition System competency at SMKN 1 Katapang. The background of this study stems from the low understanding of students regarding the ignition system material due to the dominant use of the Teacher-Centered Learning (TCL) model, which tends to make students passive and only memorize concepts without understanding the overall working process. PBL is considered more relevant because it emphasizes real problem-solving, critical thinking, collaboration, and analysis according to constructivist theory. The method used is a quasi-experiment with a Nonequivalent Control Group Design. The research subjects consist of two classes of 11th-grade Light Vehicle Engineering students: an experimental group using the PBL model and a control group using TCL, with a total population of 70 students. Data collection was done through pretests and posttests using a validated multiple-choice objective test instrument. Data analysis includes comparing the learning outcome improvements of both groups to determine the effectiveness of PBL. The results show a more significant improvement in learning outcomes in the class using the PBL model compared to the TCL class. This proves that the implementation of PBL is effective in improving analysis skills and diagnostic skills in the ignition system. Therefore, PBL is recommended as a more suitable teaching model for practice-based subjects in vocational schools, especially in automotive electrical competencies.

This research traces the role of classical Islamic intellectual traditions in shaping the direction and character of the contemporary Islamic education system at the Al Asror Islamic Boarding School, Gunung Pati, Semarang. This study highlights the preservation and adaptation of the main elements of turats such as the study of the yellow book, sanad-based teacher-student relations, oral learning patterns, and the development of manners and learning ethics which are maintained as the methodological foundation of Islamic boarding schools. In the context of educational modernization, this study observes how the tradition undergoes adjustment without losing its epistemological roots. Using a qualitative approach, this study explores classroom learning practices, curriculum structure, and views of pesantren stakeholders through observation, in-depth interviews, and document analysis. Field findings show that the Al Asror Islamic Boarding School is able to combine classical scientific heritage with modern educational needs, including the implementation of more systematic learning strategies, strengthening curriculum management, and the use of digital technology as a means of supporting learning. The synergy between traditional values and the demands of this era confirms that turats are not only relevant, but also remain a source of values, ethos, and a framework of thinking that enriches Islamic boarding school educational innovations. Furthermore, the results of the study emphasize that the ability of pesantren to harmonize classical intellectual heritage with social, technological, and pedagogical developments is a strategic factor for the resilience, continuity, and competitiveness of Islamic education in the modern era.

This study aims to analyze in depth the quality of Early Childhood Education (ECE) teachers in the learning process at schools and its implications for early childhood development. The quality of educators is viewed as one of the key factors determining the success of learning implementation and the achievement of educational objectives at the early childhood education level. This study employs a literature review method, which involves collecting various relevant scientific articles, books, and other academic sources related to the research topic, followed by systematic analysis to obtain a comprehensive understanding and conclude the findings. The results indicate that the quality of educators has a significant influence on teachers’ success in performing their roles as facilitators, mentors, and educators in supporting children’s cognitive, social, emotional, and motor development. Therefore, the quality of early childhood educators needs to be continuously developed and improved through education, training, and professional development to maintain and enhance the quality of learning activities in schools. In addition, support from various stakeholders, including the government, educational institutions, schools, and parents, plays a crucial role in efforts to improve the quality of early childhood educators in an optimal and sustainable manner.

In this study, the CIPP (Context, Input, Process, Product) evaluation model was used to assess the implementation of the People's School Education Program in its early stages. People's schools are an alternative education method designed to improve access to education for vulnerable socioeconomic groups. This study employed a descriptive qualitative methodology and employed a case study design. Data were collected through analysis of institutional documentation and in-depth semi-structured interviews with educators and administrators directly involved in program implementation. The four main components of the CIPP model were used to analyze the obtained data thematically. The results indicate that the program has been contextually designed to meet the needs of the target community. In terms of input, the program is supported by institutional commitment to implementation, although there are still limitations related to learning facilities and the availability of human resources. In terms of process, program activities are implemented adaptively, and in terms of product, initial progress is seen in increasing learning motivation and strengthening student character. Overall, the findings of this study demonstrate progress in the early stages of implementation and suggest that ongoing evaluation is needed to support program refinement and sustainability.

This study aims to analyze teachers' teaching strategies in improving the quality of science learning for upper grade students (IV, V, and VI) at the SD Inpres Perumnas II Makassar. The results show that teachers implement various strategies including selecting approaches that suit students' needs, using a variety of learning methods, actively involving students in learning activities, utilizing media that support conceptual understanding, and implementing continuous evaluation to assess learning success. All of these strategies complement each other and help create more engaging, understandable, and relevant science learning for students. Research findings also revealed that the choice of teaching strategy is influenced by several important factors: student characteristics, the characteristics of the science material being taught, the availability of learning media and facilities, the learning environment, and the desired learning objectives. These five factors serve as the basis for teachers to determine the most appropriate strategy, ensuring a more effective, focused learning process that enhances students' understanding of the material. Furthermore, this study identified several challenges teachers face in implementing science teaching strategies, such as diverse student abilities, time constraints, a lack of supporting media and facilities, sub-conducive classroom conditions, and uneven student motivation. These challenges require teachers to be creative and adapt strategies to ensure learning objectives are achieved and the quality of science instruction continues to improve.

This study explores the integration of deep learning based approaches in real time video content analysis for intelligent human computer interaction (HCI) in multimedia systems. Traditional video analysis techniques, such as rule-based methods and offline processing, struggle with real time performance and adaptability to complex video data. In contrast, the deep learning model used in this research, particularly Convolutional Neural Networks (CNNs), provides high accuracy in object detection, feature extraction, and real time processing. The integration of CNNs with interactive visualization modules enables dynamic adjustments to video content based on user interactions, ensuring a seamless and engaging user experience. The system was benchmarked in terms of its processing speed, accuracy, and responsiveness, showing significant improvements over traditional approaches in real time video analysis. Moreover, the study demonstrates that combining deep learning with real time visualization enhances the efficiency of interactive multimedia applications, making it suitable for dynamic environments such as surveillance, security monitoring, and interactive media. Despite the system's strong performance, challenges such as computational demands in high-resolution video processing were identified, highlighting the need for further optimization. Future work will focus on optimizing the system for different hardware platforms, incorporating multimodal inputs, and refining deep learning models to address computational bottlenecks. This research contributes to advancing HCI by providing insights into the integration of deep learning for real time video content analysis, which is pivotal for enhancing the interactivity and adaptability of intelligent multimedia systems.

Indonesian language learning in elementary schools, especially on figurative language, still faces various problems, such as difficult to understand material, limited learning media, and low student interest and understanding. This is also experienced by fifth-grade students of SD 1 Mlati Lor who have difficulty recognizing types of figurative language and understanding their meaning well in context. This study aims to develop an interactive flipbook media about figurative language that highlights the local wisdom of North Sulawesi and test its feasibility and practicality for semantic learning. The method used in this study is research and development (R&D) with the ADDIE model, which consists of analysis, design, development, implementation, and evaluation. The research subjects were fifth-grade students of SD Negeri 1 Mlati Lor. Data collection was carried out through interviews, observations, validation by material and media experts, questionnaires for teachers and students, and learning outcome tests. Data were analyzed using qualitative and quantitative descriptive approaches. The results of the study indicate that the interactive flipbook media inspired by the local wisdom of North Sulawesi was considered very valid by experts. Furthermore, practicality testing demonstrated that teachers and students responded in the "very practical" category, indicating that the media was easy to use and well-received in learning. The application of local cultural elements has been shown to help students understand figurative language concepts more clearly and meaningfully. Therefore, the developed flipbook can be used as an alternative Indonesian language learning medium to improve students' semantic understanding and cultural knowledge in elementary schools.

This article aims to describe the teaching methods and practices of the Philosophy of Islamic Education course at STAI Darussalam. This research uses a qualitative descriptive approach with a field study method that focuses on the learning process, the competencies to be achieved, teaching methods, assignment formats, evaluation systems, and obstacles encountered during the course. Data were obtained through observation and information gathering related to the implementation of the Philosophy of Islamic Education course. The results show that the teaching of the Philosophy of Islamic Education at STAI Darussalam focuses on understanding the nature of Islamic education, developing students' critical thinking patterns, improving educational literacy, and linking philosophical studies to social and political realities. The lecture method remains the dominant method used by lecturers, with an emphasis on students' ability to define and explain basic philosophical concepts accurately as an indicator of understanding. Learning success is measured by changes in students' thinking, which becomes increasingly critical, reflective, and contextual in responding to educational issues and social justice issues.

 Autonomous robot navigation in dynamic and unstructured environments remains a critical challenge due to unpredictable obstacles, sensor uncertainty, and limited adaptability of traditional planning algorithms. Although conventional navigation methods such as graph-based, potential field–based, and sampling-based approaches have been widely adopted, their performance under real-time dynamic conditions is still constrained. This study aims to design and implement a comprehensive experimental framework to evaluate the effectiveness and limitations of conventional navigation algorithms for autonomous mobile robots operating in dynamic unstructured environments. The research adopts an experimental and comparative methodology by implementing A*, Dijkstra, Artificial Potential Field (APF), and Rapidly-Exploring Random Tree (RRT) algorithms in simulated static and dynamic scenarios. Performance is assessed using quantitative metrics including path length, computation time, success rate, collision rate, and path smoothness. The experimental results demonstrate that graph-based algorithms achieve high success rates and optimal path efficiency in static environments but exhibit limited adaptability to dynamic changes. APF offers fast computation but suffers from high collision rates due to local minima, while RRT shows better adaptability in dynamic environments at the cost of longer and less smooth paths. These findings confirm that conventional navigation methods are insufficient for robust autonomous navigation in highly dynamic and unstructured environments. The study highlights the necessity of adaptive and learning-based navigation frameworks, such as deep reinforcement learning, to enhance real-time decision-making, robustness, and autonomy in future robotic systems.

The world of education must actively participate in preparing a creative, innovative, and competitive generation in response to advances in technology and science. Schools, as formal educational institutions, have a great responsibility to improve students' entrepreneurial skills by adding innovative product development theory to the learning process. Amidst increasingly fierce competition, product innovation is essential to create added value and maintain the sustainability of managed businesses. Entrepreneurship also plays an important role in driving social change and economic growth. Students are also encouraged to learn to be more creative, take initiative, and dare to take risks if they are given the facilities to develop their entrepreneurial spirit at school. Practical learning, training in innovative product creation, and business management simulations help students understand and apply entrepreneurial principles efficiently. Schools are expected to be a sustainable place for developing students' entrepreneurial character through targeted outreach and instruction. This method not only improves students' knowledge and skills, but also builds independence and innovation, which can help students prepare for the world of work, business, and industry. The goal is to foster an entrepreneurial culture focused on developing personal potential, thereby producing independent, adaptive, highly competitive graduates who are ready to face global challenges.

Financial literacy is a crucial competency for today’s young generation, especially Gen Z, who are currently in the midst of the development of financial technology. However, the level of financial literacy among vocational and high school students is still relatively low, including students at SMK Negeri 1 Musuk. This community service activity, which includes outreach activities, aims to provide and improve students’ understanding and also change students’ attitudes towards financial literacy so they can manage their finances well, wisely, and responsibly. The method used in this outreach activity is a qualitative method with a type of outreach activity consisting of several stages or sessions: the first is the observation session, the second is the activity planning, and the third is the implementation of the outreach activity. This activity was carried out on December 5, 2025, with 30 participants from class XI AKL 1 participating in this activity. The material presented consisted of the definition of financial literacy, factors, impacts, financial management strategies, as well as case studies or real examples of financial literacy. The results of this activity indicate that there is an increase in students’ understanding in learning financial literacy material, marked by students’ enthusiasm to listen and focus on the material presented. Not to mention, there were quite positive results from this activity: the students became more active in learning, as evidenced by the way they answered the questions I posed. This activity had a very positive impact on the younger generation, fostering awareness of the importance of financial literacy for their future.

The increasing adoption of collaborative robots in modern manufacturing environments requires reliable perception systems that can ensure both safety and operational efficiency during human–robot collaboration. This study proposes a CNN-based real-time computer vision system for object and human detection in shared robotic workspaces. The research focuses on developing and evaluating a single-stage deep learning detection model optimized for real-time performance while maintaining high detection accuracy. The proposed methodology includes dataset preparation, model training using transfer learning, real-time system implementation, and comprehensive performance evaluation. Experimental results demonstrate that the developed system achieves high detection accuracy, as reflected by strong precision, recall, and mean Average Precision (mAP) values, while maintaining low inference latency suitable for real-time operation. The system consistently operates above real-time frame-rate thresholds, ensuring timely perception updates required for safety-related decision-making in collaborative robotic environments. Graphical and quantitative analyses further confirm the stability of inference performance under dynamic interaction scenarios involving human movement and multiple objects. Compared with existing approaches, the proposed system provides a balanced trade-off between accuracy and computational efficiency, making it practical for deployment in safety-aware human–robot collaboration scenarios. Overall, the findings indicate that CNN-based real-time object detection systems can effectively support perception and situational awareness in collaborative robotics, contributing to safer and more efficient industrial automation.