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Learning at the elementary school level requires the use of methods that are interesting, interactive, and appropriate to the development of students. This study aims to evaluate the effectiveness of using artificial intelligence (AI)-based animated videos in improving conceptual understanding and learning motivation of second-grade students at MI Miftahul Ulum Kranjingan, Jember. AI-based learning media was chosen because it is able to present material visually, dynamically, and interactively, making it easier to understand for students who are at the concrete operational development stage. This study used a qualitative approach with data collection techniques in the form of observation of the learning process, interviews with teachers and students, and documentation of classroom activities. The results showed that the use of AI-based animated videos was able to increase students' interest and enthusiasm in participating in learning, clarify their understanding of the material presented, and encourage active participation in discussion activities and exercises. Overall, this study concluded that the application of AI-based animated videos is an effective medium for creating a more interactive, creative, and enjoyable learning process for second-grade elementary school students.  

The rapid digital transformation occurring in the field of education, particularly through the integration of artificial intelligence (AI), has created new opportunities for improving learning efficiency, personalizing instruction, and supporting educators’ workloads. However, these advancements also bring forth significant philosophical challenges, especially the potential for dehumanization within the educational process. This article examines how technology influences the fundamental human dimensions of learning and how the concept of humanization can serve as an ethical framework for designing and implementing educational technologies. AI-based digital learning environments often position learners as data objects, reducing the dialogical, empathetic, and relational aspects that are fundamental to humanistic education. Drawing on philosophical perspectives from existentialism and humanism, this study evaluates the potential threats to student autonomy, critical thinking, and character formation. Furthermore, it explores how the human–technology relationship can be ethically framed through the theory of technological mediation and Paulo Freire’s notion of liberatory education. The analysis indicates that technology can be humanized by emphasizing meaningful interaction, ensuring algorithmic transparency, and strengthening the role of teachers as mediators of values and empathy. Ultimately, the article argues that the benefits of AI in education can only be fully realized when technological development and implementation are guided by an ethical orientation that places human beings at the center. This study contributes to ongoing discussions on the role of technology in education and provides a critical perspective aimed at minimizing the risk of dehumanization in an era increasingly shaped by AI-driven digital learning.

The rapid advancement of generative artificial intelligence, particularly ChatGPT, has significantly influenced educational practices, including the teaching and learning of Islamic education. ChatGPT offers considerable opportunities by providing diverse instructional materials, expediting the preparation of teaching documents, and supporting personalized learning based on students’ abilities and learning preferences. Additionally, it functions as a supplementary learning resource capable of facilitating religious discussions, explaining abstract concepts, and fostering critical thinking skills through fast and adaptive feedback. Nevertheless, the use of ChatGPT in Islamic education also presents noteworthy challenges. The risks of misinformation and hallucination may affect students’ understanding, especially in religious matters that require high accuracy and reliable references. Other challenges include academic integrity concerns, excessive reliance on technology, content bias, and the model’s limited ability to interpret Islamic socio-religious contexts in Indonesia. Furthermore, disparities in digital literacy among teachers and students hinder optimal implementation. This article aims to provide a comprehensive analysis of these impacts and challenges by examining recent literature and empirical studies. The findings indicate that ChatGPT can offer substantial benefits for Islamic education learning when integrated critically and responsibly, supported by enhanced teacher competencies, clear institutional AI policies, and strong emphasis on ethics and source verification. Thus, ChatGPT holds the potential to serve as a strategic innovation for improving the quality of Islamic Religious Education in the digital era.

The era of automation has brought profound changes to the educational landscape through the integration of intelligent technologies, artificial intelligence, and digital systems that increasingly shape learning processes. This transformation not only affects the interaction patterns between educators and learners but also shifts foundational educational values and introduces significant ethical challenges. In the context of Islamic education, these changes require a reformulation of relevant educational values to preserve learners’ moral and spiritual integrity. This study aims to analyze Islamic educational values in the age of automation and examine their ethical implications for strengthening character education. Through a comprehensive literature-based approach, the study finds that values such as amanah (trustworthiness), adl (justice), ihsan (excellence), mas’uliyyah (accountability), and mujahadah (perseverance) serve as essential instruments in building learners’ character so they can use technology wisely and responsibly. Furthermore, the study emphasizes that automation demands the integration of digital literacy and Islamic moral literacy to prevent dehumanization, digital plagiarism, technology dependence, and the decline of spiritual awareness. The findings indicate that character education grounded in Islamic values provides a strong ethical framework for addressing emerging moral risks in the digital era. Therefore, curriculum reconstruction, strengthening the role of educators as “digital murrabbi,” and the proportional use of technology aligned with maqāṣid al-syarī‘ah are required. This research contributes by offering a comprehensive Islamic ethical perspective as a foundational framework for the development of character education amid the rapid and inevitable acceleration of automation.

The development of digital technology is transforming various aspects of life, including education, with Artificial Intelligence (AI) emerging as a significant innovation that has a profound impact. Socialization activities on the use of Artificial Intelligence (AI) at SMKN 4 Kota Bekasi aim to enhance technology literacy among students and educators. These activities aim to enhance the understanding and awareness of students and educators at SMKN 4 Kota Bekasi regarding the basic concepts of AI, its benefits and risks, as well as how to integrate it wisely into the learning process. The activities also aim to build awareness of the importance of adapting to technology and to encourage innovation in the field of education. The methods used in the socialization activities include material presentations, interactive discussions, and demonstrations of AI applications in education. The results of the activities show an increase in participants' understanding of the potential and challenges of AI, as well as readiness to utilize AI in the learning process. This socialization serves as an initial step in building an educational environment that is adaptive to technological developments and capable of producing a competent generation in the digital era.

This community service activity aims to strengthen teachers' capacity to manage deep learning through the utilization of artificial intelligence (AI) in elementary school classrooms. The rapid development of AI technology provides opportunities for teachers to design more personalized learning, conduct assessments efficiently, and make data-driven learning decisions. The program is implemented in three stages: preparation, execution, and evaluation. The preparation stage includes the development of training modules and mapping relevant AI applications to support deep learning. The execution stage consists of workshops, hands-on practice using AI applications, and collaborative development of teaching materials by teachers. Evaluation is conducted through reflective assessments, task performance evaluations, and follow-up interviews. The results of the activity show significant improvements in teachers' understanding of AI-based deep learning management, including the ability to use AI for lesson planning, formative assessment, and analyzing students' learning progress. Teachers also reported increased confidence in integrating AI into teaching activities and recognized the benefits of AI in promoting students' higher-order thinking skills. This program demonstrates that strengthening teachers' competencies in utilizing AI can enhance the quality of deep learning management in elementary schools.

This study aims to comprehensively identify and map various models, strategies, and approaches to Christian Religious Education (CRE) learning that integrate digital technology with Christian values and their relevance to the formation of moral character in Generation Z, and to analyze Christian principles that need to be maintained along with innovative learning strategies to overcome the moral challenges of Generation Z in the digital era. This research uses a literature review method by analyzing 25 scientific journal articles published in 2023-2025 through thematic analysis techniques. The results show that there are five models of digital technology integration in CRE learning: platform-based digital learning, contextual-digital learning, collaborative-participatory learning, artificial intelligence-based learning, and hybrid learning. Implementation strategies include the use of interactive multimedia content, social media ministry, online learning communities, digital project-based learning, and immersive technology. Christian principles that need to be maintained include the supremacy of God's Word, learning centered on relationship with God, the importance of faith community, digital integrity, and balance between digital and direct spiritual experiences. This research provides theoretical contributions in the form of comprehensive mapping of technology integration in CRE and practical contributions in the form of recommended learning strategies that can be implemented to shape the moral character of Generation Z in the digital era.  

The development of artificial intelligence (AI) technology offers new opportunities to enhance the effectiveness of teaching and learning processes. However, the level of understanding and utilization of AI in vocational school environments remains varied. The socialization activity on the use of AI at SMK Negeri 4 Padangsidimpuan was carried out as an effort to improve digital literacy, pedagogical competence, and the skills of both students and teachers in effectively utilizing AI technology. The activity methods included material presentation, demonstrations of educational AI applications, and hands-on practice using several AI platforms for material creation, data analysis, and learning support. The results showed an improvement in teachers' and students' understanding of basic AI concepts, their ability to use AI tools in teaching, and increased motivation to integrate AI into the learning process. This socialization activity is expected to serve as an initial step in developing an adaptive, innovative, and technology-based learning ecosystem that aligns with the needs of the digital era.

This study aims to analyze user sentiment toward the integration of Artificial Intelligence (AI) in online learning platforms, which are increasingly expanding in the digital era. With the growing use of AI technologies in education—such as learning chatbots, material recommendation systems, and automated assessments—it is essential to understand users’ perceptions and reactions to these implementations. The research employs sentiment analysis based on text mining using user review data collected from various online learning platforms. The analysis process includes data preprocessing, sentiment classification using machine learning algorithms, and interpretation of results based on the proportion of positive, negative, and neutral sentiments. The findings indicate that most users express positive sentiments toward AI integration, as it enhances learning efficiency and personalization. However, some users raise concerns regarding data privacy and the lack of human interaction. This study is expected to serve as a reference for educational platform developers to design AI systems that are more adaptive, transparent, and user-centered

The Innovation Development Program conducted by Group 2 in Gunung Sari Ulu Village consisted of a structured series of mentoring activities designed to strengthen the financial literacy and marketing capabilities of local UMKM. The program focused on guiding participants in recording simple cash flow using the Monly AI application, which helped them understand how Artificial Intelligence can support more accurate and organized financial management. In addition, participants were taught how to properly separate incoming and outgoing transaction notes so that their business finances could be monitored more clearly and systematically. The program also introduced strategies for promoting products through digital marketing, enabling UMKM to expand their market reach by utilizing online platforms and creating more appealing promotional content. Overall, this activity aimed to broaden the participants’ knowledge of AI-based financial recording while also equipping them with practical marketing skills needed to increase visibility and attract consumer purchasing power. By integrating technology with improved marketing practices, the program sought to empower UMKM to operate more efficiently, enhance their competitiveness, and strengthen the sustainability of their business activities within the local community.

This study explores the impact of Artificial Intelligence (AI) integration and algorithm transparency on organizational efficiency and perceived fairness in Human Resource (HR) decision-making. Using a qualitative literature review approach, the research examines the mediating role of employee trust and the moderating influence of organizational culture. The analysis focuses on peer-reviewed international studies published since 2020, reflecting the latest theoretical and empirical developments in AI and HR management. The findings reveal that a higher level of AI integration improves decision speed, reduces operational costs, and increases the accuracy of talent allocation. However, these efficiency gains are not independent of ethical considerations. Transparent algorithms are shown to significantly enhance employees’ trust and perceptions of fairness, whereas opaque systems tend to generate resistance and distrust. Furthermore, organizational culture plays a crucial moderating role. Companies with innovative and participatory cultures report better outcomes from AI implementation, while hierarchical cultures are associated with lower adoption success and ethical challenges. This research highlights the importance of aligning technical capabilities with social and cultural factors to optimize the use of AI in HR functions. The study contributes to the discourse on socio-technical systems by proposing an integrative framework that links AI integration, transparency, trust, and culture to key organizational outcomes. Practical implications include the need for transparent system design, ethical governance, and cultural readiness to support responsible AI adoption in HR.

This community service program aims to enhance the capacity of students, teachers, and educational staff at SMK Negeri 2 Prabumulih in utilizing artificial intelligence (AI) technology as a medium for promoting the excellence of their study programs. The activity was conducted in the form of a two-day workshop attended by 50 participants, consisting of students, teachers, and educational personnel. The workshop materials covered an introduction to AI, the application of AI in digital promotion, and hands-on practice in creating promotional content using AI, such as chatbots, AI-based graphic design, and data analysis. The results indicate a significant improvement in participants’ skills in using AI technology to support study program promotion, which positively contributed to increasing the interest of prospective new students. This workshop provides a tangible contribution to human resource development at SMK Negeri 2 Prabumulih and serves as a replicable model for community service initiatives in other educational institutions.

This community service activity aims to improve digital literacy and managerial skills of Micro, Small, and Medium Enterprises (MSMEs) through two training programs: "Optimizing Marketing Content Using Artificial Intelligence (AI) Applications" and "Digital Financial Management." The program was implemented through several stages, including problem identification, training material development, hands-on training, mentoring, and evaluation using pre-test and post-test instruments to measure program effectiveness. Fifteen MSMEs from Prapatan Village, Balikpapan City, participated in the program. The evaluation results showed that the training significantly improved participants' understanding of the use of digital marketing and technology-based financial management. Prior to the training, most participants still had limited digital literacy and had not utilized technology for promotion or financial recording. After participating in the program, 73.3% of participants assessed the material as excellent and relevant to their business needs. This program provides a tangible contribution to the development of technology-based applied science while supporting community economic empowerment through the MSME digitalization process.  

The transition to the remote working era has reached a point of stabilization as a fundamental structure in the 2025 global employment landscape. This systematic literature review aims to evaluate the impact of remote work on employee productivity, mental well-being, and the role of Artificial Intelligence (AI) integration. By analyzing large-scale secondary data (>10,000 participants) from various authoritative databases, the study finds that productivity experienced a net increase of 13% to 22%. The primary driver is the average commute time saving of 72 minutes per day, which is converted into productive work hours. However, findings also indicate a risk of digital burnout in 69% of respondents due to an "always-on" work culture. AI integration has assisted 65% of workers in automating administrative tasks, shifting focus toward strategic work. This research concludes that the success of remote work models requires a shift in leadership style toward trust-based management and formal policies regarding the "right to disconnect.".

Digital transformation has reshaped community life by increasing internet dependency in daily communication, financial transactions, and public services. However, this rapid development has also intensified cybersecurity risks, particularly link-based scams and the misuse of Artificial Intelligence (AI). Limited digital literacy at the family level makes communities vulnerable to phishing attacks, personal data breaches, and AI-generated fraud. This community service program aimed to strengthen digital literacy among residents of RW 03 Kalipancur, Semarang, through participatory education focusing on link scam detection and responsible AI usage. The program involved interactive lectures, case discussions, simulations, and pre-test and post-test evaluations with 18 participants from family groups, PKK cadres, and elderly residents. The results showed a significant increase in understanding, from an average pre-test score of 43% to a post-test score of 84%. Beyond knowledge improvement, participants demonstrated increased awareness and behavioral change toward safer digital practices. The findings suggest that community-based participatory approaches effectively enhance family-level digital resilience and can serve as a replicable empowerment model in other communities facing similar digital threats.

Civil engineering infrastructure development plays a vital role in driving economic progress and enhancing the quality of life within communities. The success of infrastructure projects depends not only on budgetary and technological factors but also on the quality of human resources (HR) involved in every project phase, from planning to maintenance. This literature review highlights that skilled and competent HR is a critical factor in achieving project success, particularly amidst increasing complexity and the challenges posed by globalization. Key issues faced by the sector include a shortage of skilled labor, high turnover rates, and a misalignment between educational outcomes and the skills required in the field. Additionally, technological advancements, such as the adoption of Building Information Modeling (BIM) and Artificial Intelligence (AI), demand continuous skill enhancement to adapt to the growing automation of industry processes. Effective HR management—encompassing ongoing education, fair incentive systems, and the integration of technology into HR practices—is essential for boosting productivity and mitigating risks during project execution. A comprehensive approach, including a structured HR management system, is required to ensure the sustainability and quality of infrastructure development. This study aims to provide an in-depth understanding of the critical role of HR management in the civil engineering sector and proposes practical recommendations for improving HR quality to meet the evolving demands of the construction industry.  

Artificial Intelligence (AI) is a technology that has had a significant impact on various aspects of life, including science. Recent developments in AI have shifted the traditional boundaries of knowledge production and distribution, including in the religious realm. This research aims to fill the epistemological gap in contemporary Islamic legal thought by offering an integrative framework between traditional ijtihad and supervised digital ijtihad practices. This research uses a normative-qualitative (juridical-normative) approach. The researchers found that AI has the potential to be an effective tool for strengthening religious moderation, particularly through digital education, the dissemination of messages of tolerance, and the dissemination of counter-narratives against radicalism. For example, da'wah chatbots and digital interpretation applications can expand moderate religious literacy. However, the research also highlights various challenges, including epistemological issues stemming from AI's lack of a scientific chain of command, the risk of shifting authority from scholars to technology, and the lack of legal regulations governing responsibility for AI-generated religious content. Therefore, specific regulations and collaboration between scholars, the government, and technology developers are needed to ensure that AI continues to support the maqāṣid al-Shari'ah (the principles of Islamic law) and religious moderation.

The growth of artificial intelligence (AI) in healthcare is causing big shifts in management roles and how ready organizations are, especially in private hospitals. In Medan City, rising competition, a small healthcare workforce, and strict accreditation requirements all make it even more important to use digital technology to make operations more efficient. This study seeks to examine the impact of AI on organizational readiness, utilizing management performance as a mediating variable. Quantitative approaches were employed via a survey of managers and administrative personnel at private hospitals, and the data were analyzed using path analysis with SPSS. The findings indicate that AI exerts a favorable and considerable influence on management performance, which in turn directly enhances organizational readiness. Additionally, managerial performance has been demonstrated to mediate the relationship between AI and organizational readiness. These findings address a research gap concerning the mechanisms of AI's role in the managerial context of hospitals in developing countries and offer practical implications for fortifying digital strategies, cultivating human resource competencies, and augmenting organizational capabilities in response to technology-driven healthcare transformation.

Digital transformation through Artificial Intelligence (AI) is imperative for public services, but its implementation in Indonesia faces various challenges. This study analyses the readiness level of the Indonesian bureaucracy and the role of adaptation strategies as a mediating mechanism for successful AI implementation. Using explanatory sequential mixed methods, the study involved 287 respondents from 68 government agencies using PLS-SEM analysis, followed by in-depth interviews with 33 informants from 11 agencies for qualitative exploration. The results indicate that the readiness of the Indonesian bureaucracy is in the moderate category, with human resource readiness as the most critical weakness. PLS analysis confirmed that all readiness dimensions significantly influence adaptation strategies, with human resource readiness as the strongest predictor. Adaptation strategies partially mediated the readiness-implementation relationship, explaining 70.4% of the variance in AI implementation. Qualitative findings identified effective strategies: phased pilot projects, change management through champions, continuous capacity building, incremental implementation, and adaptive governance. Structural barriers include rigid regulations, silo mentality, and political turnover. The study produced the ARSI Framework as a practical guide for AI implementation in the Indonesian public sector, emphasising the importance of strategic execution in translating readiness into successful implementation.

This community service activity aims to improve digital literacy and managerial skills of Micro, Small, and Medium Enterprises (MSMEs) through two training programs: "Optimizing Marketing Content Using Artificial Intelligence (AI) Applications" and "Digital Financial Management." The program was implemented through several stages, including problem identification, training material development, hands-on training, mentoring, and evaluation using pre-test and post-test instruments to measure program effectiveness. Fifteen MSMEs from Prapatan Village, Balikpapan City, participated in the program. The evaluation results showed that the training significantly improved participants' understanding of the use of digital marketing and technology-based financial management. Prior to the training, most participants still had limited digital literacy and had not utilized technology for promotion or financial recording. After participating in the program, 73.3% of participants assessed the material as excellent and relevant to their business needs. This program provides a tangible contribution to the development of technology-based applied science while supporting community economic empowerment through the MSME digitalization process.