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This research aims to explore the role of innovation in public sector governance and policy in building competitive advantages at various levels of government. Using a qualitative approach, this study takes a unit analysis of local governments in Indonesia that have implemented technology-based policies and innovations in public governance. The research design used is a case study by collecting data through semi-structured interviews with public policy managers, observation, and analysis of related policy documents. The data analysis technique applied is thematic analysis to identify the main patterns related to the application of innovation in public management. The findings of the study show that local governments that successfully implement technology and data-based policies have improved service efficiency, transparency, and community participation, which strengthens their competitive advantage. The contribution of this research is to provide insight into the importance of integrating innovation in public sector governance to increase regional competitiveness and provide better services to the community.

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 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 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 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.