This community service activity aims to increase educational technology literacy among Vocational High School (SMK) teachers by introducing the basic concept of Deep Learning and its application in the world of education. This training was motivated by the urgent need to equip educators with basic understanding and skills regarding artificial intelligence (AI), especially Deep Learning, to be able to keep up with rapid technological developments and relevant to vocational education. Through practice-based training using simple tools such as Teachable Machine, teachers are given hands-on experience in creating simple machine learning models that are applicable in the school environment. The results of the pre-test and post-test showed a significant increase in understanding in the participants. The group discussions also produced various ideas for the application of AI such as a face-based attendance system, student voice recognition, and recommendations for learning materials according to students' interests. Despite challenges such as limited infrastructure and teacher learning time, this activity proves that a practical and contextual training approach can increase teachers' motivation to integrate technology into learning. Similar training is highly recommended to be replicated in other schools to support equitable access to modern educational technology.
The rapid development of Artificial Intelligence (AI) has made it a part of the teens' routine, but the intensity of its use raises concerns about mental health. This study aims to analyze the pattern of AI utilization and its impact on stress, anxiety, and depression in students of St. Petrus Medan High School using the framework of Self-Determination Theory (SDT), namely competence, autonomy, and connectedness). The research was conducted with a quantitative approach through a survey of 64 students using a total sampling technique, equipped with focused group discussions (FGDs) and literature review. The results show that more than 70% of students use AI on a regular basis, mainly through chatbots (81%) and social media (73%). Some students (35.9%) also use AI as a means of venting. Although 85.9% of respondents found AI to be helpful, the majority (59.3%) reported feeling inferior as a result of comparing themselves to AI results. These findings reveal a psychological paradox, where AI is perceived as a solution as well as a source of pressure. This condition has the potential to trigger stress and anxiety, although depressive symptoms do not yet appear to be dominant. This research emphasizes the importance of healthy digital literacy as well as mentoring from schools and parents to reduce the risk of AI addiction and maintain adolescent mental well-being.
To respond to the challenges and needs of contemporary society, the public sector must rapidly adapt to digital transformation. The objective of this research is to examine relevant and adaptive human resource development strategies for the digital ecosystem and to evaluate how they impact the quality of public services in the era of technological disruption. This research uses a descriptive qualitative approach with a literature review and policy analysis. It analyzes best practices from government institutions, both national and international, in developing human resources oriented towards the digital era. Key findings indicate that optimizing human resources requires not only improving technological capabilities or digital expertise; it also requires reconstructing leadership paradigms, flexible organizational cultures, and implementing meritocratic systems and data-driven performance management. It is evident that technologies such as big data analytics, artificial intelligence (AI), and the Internet of Things (IoT) can help improve public services, but the success of these technologies depends heavily on the capabilities and readiness of the employees who manage these systems. An integrated digital talent ecosystem must be built, encompassing continuous training (learning for life), collaboration between government, academia, and business (the triple helix model), and a regulatory framework responsive to technological developments. Furthermore, it is emphasized that developing digital integrity and ethics is crucial as a pillar of good governance in the digital era. Optimizing human resource development strategies systematically and sustainably will enable Indonesia to improve the efficiency of public services and strengthen the competitiveness of its bureaucracy globally. By 2045, adaptable, innovative, and highly integrated human resources will be the primary drivers of a digital government transformation that is inclusive, responsive, and future-oriented.
Artificial Intelligence (AI) has increasingly shaped the digital transformation of higher education, particularly through its integration with Learning Management Systems (LMS). Features such as intelligent tutoring, predictive analytics, plagiarism detection, and automated grading are reshaping teaching and learning. However, questions remain regarding the readiness of higher education institutions and the acceptance among lecturers and students. This paper presents a Systematic Literature Review (SLR) of studies published between 2020 and 2025, focusing on readiness and acceptance of AI in LMS. Guided by the PRISMA framework, 220 records were identified, 85 screened, 40 assessed for eligibility, and 20 included in the final analysis. Findings highlight that readiness is largely influenced by infrastructure, digital literacy, and institutional policy, while acceptance is shaped by perceived usefulness, ease of use, trust, and behavioural intention. Although challenges such as ethics, cost, and privacy concerns persist, opportunities exist in the form of personalized learning and intelligent decision-making. The review concludes that while AI adoption in LMS is progressing globally, developing contexts such as Malaysian polytechnics require further research and targeted interventions to enhance both readiness and acceptance.
This study aims to analyze the application of deep learning in the transformation of religious moderation education in the digital era and its implications for the development of modern Islamic education. The research employs a qualitative descriptive approach using library research, reviewing literature on Islamic education, religious moderation, and artificial intelligence in learning contexts. Data were collected from academic books, scientific journals, articles, and other credible sources, then analyzed using content analysis to identify patterns, concepts, and relationships between technology and the strengthening of moderation values. The results indicate that the implementation of deep learning can transform Islamic education from a traditional rote-based model to a reflective, contextual, and interactive learning process. This technology enables the analysis of students’ thinking patterns and behaviors, the reinforcement of moderation values, character formation, and the development of moderate digital literacy in a personalized and adaptive manner. The integration of technology and spirituality in digital Islamic education creates transformative learning experiences that strengthen empathy, ethical awareness, and students’ reflective capacities. The study implies the importance of developing curricula, learning strategies, and teacher competencies based on artificial intelligence to produce a generation of students who are moderate, tolerant, and competent in facing the challenges of the digital era.
Islamic law faces significant challenges from the rapid advancements in bioethics and artificial intelligence (AI). The current responsive approach, based on ad-hoc fatwas, is deemed inadequate to address the systemic ethical dilemmas posed by these disruptive technologies. This research aims to propose a proactive and systematic ijtihad framework capable of anticipating and guiding technological innovation to align with the higher objectives of Shari'ah (Maqasid al-Shari'ah). Using a qualitative, library-based method with a juridical-normative and philosophical approach, this study analyzes primary and secondary Islamic legal sources through the Maqasid al-Shari'ah theoretical framework. The research finds the current model to be limited and, as a solution, offers a novelty in the form of the Hierarchical Model of Technological Ijtihad (HI-Tech). This model is a structured, interdisciplinary reasoning process, supported by a proposed institution, the Bio-Artificial Ijtihad Council (MIBA), and a digital platform, "Nur-Fatwa," for dissemination. The implication of these findings is the need for a paradigm shift for Islamic legal institutions towards an anticipatory, interdisciplinary, and institutionalized approach to address contemporary technological issues, thereby ensuring the continued relevance of Islamic law.
Higher education in Afghanistan faces chronic challenges stemming from decades of conflict, political instability, and underinvestment. Universities operate with limited infrastructure, outdated curricula, and overcrowded classrooms, leaving students underprepared for the demands of a competitive global labor market. The COVID-19 pandemic further exposed the fragility of the sector, as efforts to shift toward online learning were hindered by poor connectivity, unreliable electricity, and insufficient institutional readiness. This study investigates the potential of e-learning combined with artificial intelligence (AI) to address these systemic limitations and to provide a sustainable pathway for educational reform in fragile contexts. Adopting a qualitative design, the study draws on documentation analysis, field observations, and semi-structured interviews with lecturers, administrators, and students in Afghan universities. The data were analyzed thematically, focusing on infrastructure barriers, institutional capacity, and perceptions of AI-enhanced e-learning. Findings highlight that while conventional e-learning platforms expanded access during emergencies, they often lacked adaptability, personalization, and effectiveness in sustaining engagement. Participants demonstrated limited technical literacy regarding AI but expressed strong interest in its potential to improve teaching efficiency, student support, and inclusiveness. The absence of coherent policy frameworks and persistent gender and geographic inequalities emerged as critical challenges to equitable implementation. This study contributes to the state-of-the-art by extending discussions of AI in education into a fragile-state context, where assumptions of stable infrastructure and governance do not apply. It also problematizes the universality of technology adoption theories, suggesting the need for adaptations that incorporate structural and socio-cultural variables. AI-enabled e-learning can partially mitigate Afghanistan's educational infrastructure deficits when implemented alongside capacity building, inclusive design, and supportive governance frameworks. These findings hold relevance not only for Afghanistan but also for other fragile states seeking innovative, equitable, and sustainable educational solutions.
This community service activity aims to provide outreach and training related to the use of Artificial Intelligence (AI) in developing engaging, interactive, and effective learning tools for teachers in TKIT, SDIT, and SMPIT Darut Tauhid in Grobogan Regency. This service was carried out on June 11, 2025, using a qualitative approach through various methods, including presentations, interactive discussions, workshops, and direct practice in the use of AI technology. This activity emphasized improving teachers' skills in integrating AI technology into the learning process so that it can support the creation of a more innovative learning atmosphere and suit the needs of students in the digital era. The results of the activity showed a significant increase, both in terms of efficiency and quality. Teachers were able to save up to 70% of time preparing learning tools, produce more varied and engaging learning media, and show higher motivation in adopting digital technology to support the teaching and learning process. The three main tools introduced, namely ChatGPT, Claude, and Canva Magic Design, have been proven to help teachers in creating materials, designing media, and managing learning more effectively. The positive response from training participants also confirmed that the use of AI has significant potential for wider implementation in Islamic educational institutions. Therefore, this activity not only contributes to improving teacher competency but also opens up opportunities for developing technology-based learning models relevant to future educational challenges.
This community service program is designed to enhance the competence of English teachers at SMP N 33 Purworejo in utilizing Artificial Intelligence (AI)-based learning media, particularly deep learning technology. In the digital era, many teachers still face limitations in integrating intelligent technology into classroom activities, which affects the effectiveness of learning. The program was carried out in four stages: the provision of basic materials on AI and deep learning, technical training on the use of AI applications, practical development of learning media, and mentoring combined with evaluation. The results of this activity show an increase in teachers’ understanding and skills in operating AI tools, with each participant producing at least one AI-based learning media product. Through workshops, teachers learned to use applications such as chatbots, speech-to-text, text-to-speech, and AI-assisted language tools to enrich students’ learning experiences. In addition, teachers were guided to design contextual media tailored to curriculum goals and student needs. Mentoring ensured that the products created were tested, improved, and ready to be applied in the classroom. The novelty of this activity lies in its focus on practical implementation of deep learning in junior high school English teaching, positioning teachers not only as users but also as creators of innovative media. Beyond technical competence, this program fosters collaboration among teachers to sustain innovation. In the long term, the outcomes are expected to improve students’ engagement, motivation, and communication skills, and contribute to the establishment of a digital learning ecosystem that supports interactive, effective, and future-oriented education.
This community service program is designed to enhance the competence of English teachers at SMP N 33 Purworejo in utilizing Artificial Intelligence (AI)-based learning media, particularly deep learning technology. In the digital era, many teachers still face limitations in integrating intelligent technology into classroom activities, which affects the effectiveness of learning. The program was carried out in four stages: the provision of basic materials on AI and deep learning, technical training on the use of AI applications, practical development of learning media, and mentoring combined with evaluation. The results of this activity show an increase in teachers’ understanding and skills in operating AI tools, with each participant producing at least one AI-based learning media product. Through workshops, teachers learned to use applications such as chatbots, speech-to-text, text-to-speech, and AI-assisted language tools to enrich students’ learning experiences. In addition, teachers were guided to design contextual media tailored to curriculum goals and student needs. Mentoring ensured that the products created were tested, improved, and ready to be applied in the classroom. The novelty of this activity lies in its focus on practical implementation of deep learning in junior high school English teaching, positioning teachers not only as users but also as creators of innovative media. Beyond technical competence, this program fosters collaboration among teachers to sustain innovation. In the long term, the outcomes are expected to improve students’ engagement, motivation, and communication skills, and contribute to the establishment of a digital learning ecosystem that supports interactive, effective, and future-oriented education.
This community service activity was carried out in Sladi Village with the goal of improving the digital literacy of village officials through the utilization of Artificial Intelligence (AI) plugins in Microsoft Word and Excel. The main issue faced by the village officials was their limited ability to use digital technology, which resulted in administrative tasks being carried out manually and inefficiently. Therefore, this digital literacy training aimed to enhance the skills of village officials in utilizing digital tools, especially AI, to support their administrative work. The method used in this activity was Participatory Action Research (PAR), which involved the stages of diagnosing, action planning, action taking, evaluating, and specifying learning. Evaluation of the activity was conducted using Likert scale questionnaires and open-ended questions to collect feedback from participants regarding their understanding and responses to the training provided. Data analysis was carried out using SPSS to calculate the mean, standard deviation, and qualitative findings from the open-ended questions. The evaluation results showed that the benefits of the activity (mean = 4.2) and the intention to implement AI (mean = 4.2) received the highest scores, indicating that the participants found the training highly beneficial and were motivated to apply AI in their daily tasks. On the other hand, the understanding of AI in Excel (mean = 3.7) and the assessment of the material (mean = 3.7) showed that further in-depth learning was needed to improve participants' comprehension and skills. Overall, the activity successfully improved the skills of village officials and raised collective awareness to transition towards a more efficient and adaptive digital village administration. This training is expected to positively contribute to the digital transformation in the village.
The Community Service Program (Kuliah Kerja Nyata / KKN) of Universitas Tidar Group 23 in Giriwetan Village, Grabag District, Magelang Regency, was conducted for one month (July 3–August 3, 2025) with the aim of strengthening students’ interest in pursuing higher education at SD Negeri Giriwetan. This topic is important due to the low motivation of students in rural areas, influenced by economic limitations, lack of information, and insufficient environmental support. The study employed a qualitative method through observation, interviews, and documentation to describe the process and impact of the program. Activities included coloring and creating environmental-themed posters, song creation training using Artificial Intelligence (AI), and developing a “Tree of Hopes” containing students’ aspirations. The results indicate an increase in learning motivation, awareness of the importance of education, and interest in technology. The program proved effective through its creative and participatory approach, despite limitations in time and scope. These findings highlight the importance of sustaining similar structured programs to achieve broader and long-term impacts. Furthermore, the program was not only beneficial for students but also had a positive effect on teachers and the surrounding community. Teachers gained exposure to innovative teaching methods and technology-based learning media that can be adapted in future classes. Parents and community leaders became more aware of the role of family and environment in supporting children’s education. The collaboration between university students and local stakeholders created a sense of collective responsibility in shaping the younger generation. In addition, the integration of Artificial Intelligence as a learning tool sparked curiosity among students and introduced them to the relevance of technology in daily life. Although challenges such as limited facilities and short implementation time persisted, the program successfully demonstrated that creativity and participatory engagement could overcome such barriers.
The development of digital technology provides significant opportunities for Micro, Small, and Medium Enterprises (MSMEs) to improve the quality of their product promotions. However, most MSMEs fostered by Sharia cooperatives still face obstacles in utilizing the latest technology, particularly artificial intelligence (AI), as an effective and efficient promotional tool. Given this situation, this community service activity was carried out with the aim of increasing the capacity of MSME members in utilizing AI technology to create more attractive product promotional content that aligns with digital marketing trends. The activity took place at Kedai Fatiya Sukodono in July 2025, coinciding with the BMT Insan Mandiri Sukodono Branch member gathering. The methods used included counseling on the importance of AI-based digital marketing, technical training on using AI applications for content design, and hands-on practice in creating promotional materials by participants. A total of 40 MSMEs from various sectors, such as culinary, fashion, and services, participated in this activity. The results showed an increase in participants' knowledge and skills in creating more creative, professional, and cost-effective promotional content. In addition, participants also gained a better understanding of digital-based promotional strategies that can increase market reach. Thus, this community service activity provides a real contribution to strengthening the competitiveness of MSMEs in the era of digital transformation, while also supporting the role of sharia cooperatives as partners in empowering the people's economy
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Background: The scheduling of work of health workers, especially radiographers in type B hospitals, is a complex challenge due to the variety of radiology modalities, variations in the number of human resources, and the provisions of working hours regulations from the Ministry of Health of the Republic of Indonesia. Manual scheduling that is still in use tends to cause workload inequality, conflicts between employees, and operational inefficiencies. Objective: This study aims to design and develop an Artificial Intelligence (AI)-based radiographer shift scheduling system that is able to prepare work schedules automatically, fairly, flexibly, and integratedly, in accordance with hospital service regulations and needs. Research Method: This type of research is Research and Development (R&D). The development process is carried out through the stages of needs analysis, designing Python and Flask-based systems, simulating tests on data, and expert validation then the data collected and described from the initial mapping and also mapping potential problem-solving. Results: The system successfully manages morning, noon, night, and holiday shift schedules based on competence, fair rotation, and maximum working hours provisions. By showing a significant difference between user perceptions before and after using the system, which reflects improved efficiency, fairness, and ease of access to schedules. Respondents expressed satisfaction with the override feature and integrated notifications. Conclusion: The development of an AI-based radiographer shift scheduling system has proven to be feasible and effective in overcoming managerial problems of work scheduling in hospitals. This system is able to increase efficiency, transparency, and user satisfaction, and has the potential to be widely applied to various types of hospitals in Indonesia.
In today's digital era, the need for fast, accurate, and responsive information systems is increasingly pressing, especially in the higher education sector where prospective students often face obstacles in directly obtaining relevant and reliable academic information. To address this challenge, this research focuses on the design and development of an academic service chatbot by implementing the Retrieval-Augmented Generation (RAG) method at Catur Insan Cendekia University. The RAG approach combines information retrieval capabilities from various documents (retrieval) with the generative intelligence of language models, thus being able to produce contextual, personalized, and data-driven answers. The chatbot system was developed using Python, LangChain, FAISS, and the GPT model as the core of natural language processing. Performance evaluation was conducted using the ROUGE metric, which showed quite good results with a ROUGE-1 value of 0.50 and a ROUGE-L of 0.48. These findings prove that the system is capable of providing relevant and high-quality responses in helping answer prospective students' academic questions. With these advantages, this chatbot is expected to be an innovative solution to improve the quality of academic information services at UCIC, as it can present data quickly, accurately, interactively, and automatically. Furthermore, the implementation of this artificial intelligence-based technology aligns with digital transformation efforts in higher education, supporting the efficiency of academic services and strengthening the institution's image as a modern campus that adapts to developments in information technology.
This study investigates the effectiveness of virtual debate platforms in enhancing English as a Second Language (ESL) learners’ critical thinking, speaking fluency, and argumentation skills. The research was conducted using a quasi-experimental design with intermediate-level ESL students as participants. Data were collected through critical thinking tests, speaking fluency rubrics, and argumentation rubrics, complemented by qualitative analysis of recorded debates. The results indicate significant improvements in students’ critical thinking abilities, fluency in spoken English, and the quality of their arguments, including structure, relevance of evidence, and coherence. Furthermore, virtual debates fostered higher levels of student engagement compared to traditional classroom discussions. These findings underscore the pedagogical potential of integrating technology-based debate activities into ESL instruction, providing interactive and collaborative learning opportunities that address the limitations of conventional teaching methods. The study concludes with recommendations for incorporating virtual debates into ESL curricula and suggests future research on the use of emerging technologies such as artificial intelligence (AI) and virtual reality (VR) to further enhance language learning experiences.
Chat Generative Pretrained Transformer (ChatGPT) has rapidly gained popularity and is increasingly utilized across various fields, including education, where it plays a significant role as a supporting tool for academic tasks. In the educational context, ChatGPT can assist students in preparing and completing a wide range of assignments, providing quick access to structured information and alternative perspectives. This study was designed to explore the views of both students and lecturers on the integration of ChatGPT in academic activities, specifically as a support system for handling student assignments. Employing a descriptive qualitative approach, data were collected through interviews with 5 students and 6 lecturers from the Business Education Study Program at the State University of Surabaya. The findings reveal contrasting yet complementary perspectives. From the students’ point of view, ChatGPT offers considerable benefits, particularly in enhancing independence, efficiency, and time management when working on lecture assignments. However, these advantages are accompanied by drawbacks, such as decreased creativity, reduced critical thinking, and diminished interest in consulting traditional learning resources like books. On the other hand, lecturers acknowledge the usefulness of ChatGPT in simplifying student work and accelerating the completion of assignments but express concerns regarding the overreliance on artificial intelligence, which could potentially hinder the development of essential academic skills. Overall, the research suggests that while ChatGPT presents valuable opportunities to enhance learning processes, it must be applied thoughtfully, with careful guidance from educators to balance efficiency with the cultivation of creativity, critical thinking, and academic integrity.
Artificial Intelligence (AI) has significantly transformed the design industry by introducing innovative tools that enhance efficiency, creativity, and personalization in the design process. This article explores the impact of AI technologies on the practice of modern designers, from the early stages of idea generation to the final execution of projects. By analyzing case studies, conducting surveys, and reviewing recent literature, the study reveals that AI functions not only as a tool but also as a collaborator that expands the boundaries of human creativity. It allows designers to explore new possibilities and push the limits of traditional design processes. However, the integration of AI into design practices also raises important ethical and professional challenges, such as concerns about job displacement, data privacy, and the potential loss of human touch in the creative process. Despite these concerns, the findings highlight that embracing AI is crucial for designers to remain competitive and sustain their careers in the rapidly evolving digital era. Adapting to AI technologies, understanding their capabilities, and effectively incorporating them into creative workflows will enable designers to stay relevant and thrive in a landscape where technology continues to reshape the industry. This study provides insights into the evolving relationship between human designers and AI, offering recommendations for future research and practice in the field of design.
Limited knowledge and utilization of digital technology in the fisheries and plantation sectors remains a major obstacle for the people of Samo Village, South Halmahera Regency, the majority of whom work as fishermen and farmers. This results in low productivity, limited access to information, and less than optimal development of micro-enterprises based on local potential. This community service activity aims to introduce and train the use of Fishbrain, Plantix, and ChatGPT applications relevant to local community needs. The activity implementation method includes three main stages: the preparation phase, which involves coordination with village officials and the development of training materials; the implementation phase, which involves socialization and hands-on training; and the evaluation phase, which involves discussions, reflections, and Q&A sessions with participants. The results of the activity demonstrated a significant increase in participants' understanding and skills in utilizing digital technology. The Fishbrain application has been proven to assist fishermen in determining more potential fishing locations based on global community data, while Plantix is useful in detecting plant diseases, providing treatment recommendations, and increasing crop yields. Meanwhile, ChatGPT is used by the community as a virtual assistant to support information searches, innovation ideas, product marketing strategies, and digital-based small business planning. The participants' enthusiasm was evident in their active involvement throughout the training, their eagerness to try the applications independently, and their ability to repeat the three applications' core functions. In conclusion, this training activity not only broadened the community's digital knowledge and skills but also encouraged a shift in mindset toward utilizing technology as a means to improve well-being. With the knowledge gained, the Samo Village community is expected to be more adaptive to technological developments, enabling the sustainable development of the fisheries, plantations, and local micro-enterprises sectors.