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The purpose of this service is to explore the experience of Yapan Indonesia High School students in accessing and using information about Islamic mutual funds, as part of the Islamic financial literacy program, to improve financial understanding in the community. The methods used involve in-depth interviews with students, observations, and analysis of their understanding of Islamic mutual funds and how they access related information. The findings of this activity show that although most students are interested in learning about Sharia investment, there are still challenges related to limited access to information and an in-depth understanding. The contribution of this service is to increase financial literacy among students, as well as provide insight for the school to develop more relevant learning materials about Islamic finance, which in turn will have a positive effect on financial understanding in the community.

This research aims to explore the controversy over the use of religious education in the Indonesian curriculum and its impact on increasing interfaith tolerance among students. This study uses a qualitative approach with unit analysis in schools in Indonesia that implement religious education in their curriculum. The research design used is a case study with the main data sources obtained through in-depth interviews with teachers, principals, and students, as well as the analysis of religious education policy documents. Data collection techniques include interviews, observations, and analysis of religious education policy documents. The data were analysed using thematic analysis techniques to identify patterns related to the implementation of religious education and tolerance. The findings of the study show that although there are religious education policies that lead to tolerant learning, their implementation is still highly variable and influenced by more exclusive approaches in some areas. The contribution of this research is to provide insight into the importance of designing a religious education curriculum that is more inclusive and based on the values of tolerance, as well as strengthening the role of the community and parents in the teaching process to increase interfaith tolerance in Indonesia.

This research aims to examine the role of digital transformation in improving the quality of business education in Indonesian universities. The approach used is qualitative research with a case study design, where the analysis unit involves universities in Indonesia that have implemented digital technology in the business learning process. Data sources were obtained through interviews with education managers, lecturers, and students, as well as analysis of policy documents related to the use of technology in education. Data collection techniques were carried out through in-depth interviews, observations, and document studies, while data analysis was carried out with a thematic analysis approach to identify patterns that emerged in the implementation of digital transformation. The findings of the study show that digital transformation has had a positive impact on learning interactions, material quality, and student engagement in business education. The contribution of this research lies in a deeper understanding of how the application of technology can improve the effectiveness of business education, especially in Indonesia.

The purpose of this service is to improve teachers' skills in utilising digital technology to support English learning in schools. The method used involves intensive training consisting of theory and practice sessions, where teachers are introduced to various digital tools and applications such as Google Classroom, and Duolingo. In addition, continuous evaluation is carried out through observation and feedback to ensure the understanding and effective application of technology. The findings of this service show that after training, teachers can better integrate digital technology in language learning, which contributes to increased student engagement and material comprehension. The main contribution of this service is to provide a solid foundation for teachers in the use of digital technology, which has a positive impact on improving the quality of English learning in schools.

This study aims to explore the role of leadership transformation in facing challenges and opportunities in secondary schools in welcoming the era of technology-based education. Using a qualitative research design, the unit of this research analysis is the principal and teacher in several secondary schools. The data sources were obtained from in-depth interviews and observations of the leadership practices applied in these schools. Data collection techniques use semi-structured interviews and documentation, while data analysis is carried out through thematic analysis approaches to identify patterns and meanings in the leadership transformation process. The findings of the study show that adaptive and technology-based leadership affects the effectiveness of school management, improves teacher performance, and enriches students' learning experiences. The contribution of this research is to provide insight into how education leaders can utilise technology in the process of leadership transformation in secondary schools, which can be a reference for education policies in the face of changing times.

This study aims to examine the application of artificial intelligence (AI)--based education management in improving personalized philosophy learning. This study uses a qualitative approach with case study methods in several educational institutions that apply artificial intelligence-based educational technology. Data were collected through in-depth interviews with educators, focus group interviews with students, and observations on the implementation of artificial intelligence systems in philosophy learning. Data analysis was carried out using thematic analysis techniques to identify patterns of the use of educational technology in facilitating more personalized learning. The results of the study show that artificial intelligence-based education management can increase student involvement and deeper understanding of philosophy materials. The contribution of this research is to provide insight into how artificial intelligence technology can optimize the philosophy learning process with a more personalized and effective approach.

This study aims to analyze the effectiveness of project-based learning in improving vocational students' understanding of personal financial management. The method used in this study is qualitative research with a case study approach, where data is collected through in-depth interviews with teachers and students, observation of learning activities, and analysis of student financial project documentation. The interviews were conducted to explore the perspectives of students and teachers regarding their experiences in implementing project-based learning in financial education. Observation is used to see firsthand how students apply financial concepts in the projects they are working on. Documentation analysis was carried out on financial statements and student reflections to understand the impact of project-based learning on improving student understanding. The results of the study showed that students who learned using Project-Based Learning were better able to manage their finances better than conventional methods. The contribution of this research is to provide insight for educators and policymakers about the importance of applying project-based learning methods in improving the financial literacy of vocational school students.

This study aims to analyze the implementation of data-based management in improving the effectiveness of education in AI-assisted learning at the high school level. The analysis units in this study are data management systems and AI learning strategies in schools. The research design used is a qualitative study with a descriptive approach. The main data sources consist of principals, teachers, and high school students involved in the use of AI in learning. Data collection techniques include in-depth interviews, observations, and document analysis. The data is analyzed using thematic analysis techniques to identify patterns in the implementation of data-based management. The results show that the optimal use of data-based management can increase the effectiveness of AI-assisted learning through adaptive and evidence-based strategies. The main contribution of this research is to provide insights into how systematic data management can support technology-based educational innovation in the school environment.

This research aims to explore the role of digital leadership in improving physical education learning in elementary schools (SD) through technology integration. The research uses a qualitative approach with a case study design in several elementary schools in Depok. Data were collected through in-depth interviews with principals and teachers, observation of the physical education learning process, and analysis of documentation related to the use of technology in learning. Data analysis was carried out thematically to identify the main patterns that support the implementation of digital leadership in the context of physical education. The validity of the data is maintained through triangulation of sources and methods. The results of the study show that effective digital leadership can encourage technology integration, increase student engagement, and improve the effectiveness of physical education learning. This research contributes to the development of relevant digital leadership strategies to support technology-based learning at the primary school level.

This research aims to assist teachers of SMK Jakarta in carrying out Classroom Action Research (PTK) with a Project-Based Learning approach to encourage learning innovation. The research method used is a qualitative approach with stages including preparation, implementation, observation, and reflection. In the preparation stage, intensive training was carried out for teachers related to the concept of PTK and Project-Based Learning. The implementation of PTK is carried out collaboratively between researchers and teachers, where teachers implement learning projects in the classroom. Observations were carried out to collect data on the learning process and outcomes, which were then analyzed qualitatively. The results of the study show that this mentoring has succeeded in increasing teachers' understanding of PTK and facilitating more effective learning innovations. The contribution of this research is to provide a mentoring model that can be applied in other vocational schools to improve the quality of learning through PTK and project approaches.

This study aims to examine the application of artificial intelligence technology in the transformation of education management in Junior High Schools to improve learning effectiveness. The research method used is a qualitative approach with a case study design, which involves observation, in-depth interviews with principals, teachers, and students, as well as analysis of documents related to the implementation of artificial intelligence-based digital learning. The data obtained was analyzed using thematic analysis techniques to identify the challenges, opportunities, and impacts of artificial intelligence technology in learning in junior high schools. The results of the study show that the application of artificial intelligence can increase the effectiveness of learning, especially in terms of personalization of learning and management of student learning time. The contribution of this research provides insight into the importance of artificial intelligence technology-based education management in improving the quality of learning at the junior high school level.

This study aims to analyze the implementation of data-based management in improving the effectiveness of AI-assisted learning in Senior High School. The unit of analysis in this study is a school that implements a data-based management system in AI-assisted learning. The research design used is a qualitative study with a case study approach. The research data sources consist of school principals, teachers, and students involved in the implementation of AI-assisted learning. Data collection techniques include in-depth interviews, participatory observation, and analysis of school documents. The data obtained was analyzed using thematic analysis techniques to identify patterns and relationships between concepts. Key findings show that the implementation of data-driven management can improve learning personalization, optimization of teaching strategies, and the effectiveness of the use of AI in the learning process. The main contribution of this research is to provide empirical insights into the role of data-driven management in supporting AI-assisted learning innovations at the secondary education level.

This study aims to analyze the role of school-based management in the integration of educational technology with ChatGPT to support instructional strategies in language learning for junior high school students. This study uses a qualitative approach with a case study method, where data is collected through in-depth interviews with principals, teachers, and students, as well as observation of learning activities and analysis of school policy documents. The research subjects were selected purposively to obtain relevant information regarding the implementation of technology-based instructional strategies. Data analysis was carried out by data reduction techniques, data presentation, and conclusion drawing to identify patterns in school management that support or hinder the integration of technology in language learning. The results of the study show that the success of technology integration in language learning depends on systematic school management policies, teacher readiness, and infrastructure support. This research contributes to providing insight for schools in designing more effective technology-based policies to improve the quality of language learning at the junior high school level.

This study aims to analyze how digital storytelling can increase the involvement of high school students in reading English texts. The research method used is qualitative with a case study approach, where data is collected through in-depth interviews with teachers and students, observation of the learning process, and analysis of documentation related to the application of digital storytelling in the classroom. The interviews aimed to explore the experiences and perceptions of students and teachers, while observations were made to observe changes in the level of student involvement in reading texts. The data obtained was analyzed by thematic analysis techniques to identify patterns of student involvement in the digital storytelling-based learning process. The validity of the data is maintained through triangulation of sources and methods to ensure the validity of the research findings. The results of the study show that digital storytelling significantly increases student engagement in reading English texts by presenting a more interactive and engaging learning experience. The contribution of this research provides insight for educators about the effectiveness of digital storytelling as an innovative strategy for improving students' literacy skills at the high school level.

This study aims to analyze the strategy of using artificial intelligence using ChatGPT to improve the efficiency of education management in the era of technological transformation. This research uses qualitative methods, especially using a case study approach that focuses on educational institutions that have integrated artificial intelligence technology. Data was collected through comprehensive interviews with relevant stakeholders, observations related to technology implementation, and analysis of documentation related to managerial policies and practices. Techniques for data analysis are carried out thematically to distinguish patterns in innovative strategies in digital education. The findings show that the application of artificial intelligence through ChatGPT significantly improves management efficiency by automating administrative tasks, facilitating data-driven decision-making, and encouraging increased adaptive interaction in learning environments. This research offers valuable insights for education administrators in formulating innovation strategies based on artificial intelligence to accelerate technological transformation in the education sector.