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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.  

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.  

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.  

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.

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 advancement of Artificial Intelligence (AI) technology has generated significant benefits while simultaneously creating new opportunities for cyber-based sexual offenses, particularly through deepfake technology, which enables the manipulation of a person's face into pornographic content without consent. This study examines criminal liability for perpetrators of AI-based sexual harassment and legal protection for victims in deepfake pornography cases, focusing on a case involving a student at Udayana University, Bali. This research employs a normative legal method by analyzing primary, secondary, and tertiary legal materials. The findings indicate that although Indonesian law does not yet explicitly regulate deepfake technology, perpetrators can still be prosecuted under the Electronic Information and Transactions Law, Pornography Law, Sexual Violence Law, and the new Criminal Code. Criminal intent is established through the deliberate manipulation, creation, and dissemination of non- consensual sexual content. Furthermore, victims are entitled to legal protection, including psychological recovery, privacy rights, restitution, and content removal. This study highlights the urgency of developing specific regulations addressing AI-related sexual crimes, enhancing forensic digital capabilities, and strengthening victim-centered protection mechanisms. The research contributes to the legal discourse on emerging digital crimes and emphasizes the need for adaptive legal frameworks in the AI era.  

Implementation Artificial Intelligence as a supporting model for e-learning still faces several challenges. This is due to several aspects, such as concerns about loss spiritual touch, low digital literacy educators, limited technological infrastructure in educational institutions, and so on. On the other hand, the interaction that occurs between students and teachers is an emotional and moral dimension that occurs. The purpose study is to analyze the use AI as supporting model for e-learning in Islamic education. In this study, the method used is descriptive qualitative research. The findings study are (1) Views Islamic education practitioners on Artificial Intelligence, one which is that the existence Artificial Intelligence is not absolute replacement between students and teachers. However, Artificial Intelligence is considered means or tool in understanding learning; (2) The results  analysis explain that several AI (Artificial Intelligence) in e-learning in Islamic education have been present in several forms, including increasing access and inclusivity, translating and understanding classical manuscripts, analyzing learning and automatic assessment, material recommendation systems and learning personalization, as well Chatbots and virtual learning assistants; (3) Concept Islamic education is not only oriented towards the transfer knowledge (ta'lim), but also the formation of morals and spirituality (tarbiyah and ta'dib).

Purpose – This article aim For develop approach new in management source Power strategic human resources with integrate dimensions adaptive and cognitive in context digital transformation of organizations . Research This based on synthesis theoretical from works Prihantoro et al . (2022–2023), in order to review return the role of HR as driver main superiority competitive based knowledge in the era of disruption technology . Design/ methodology / approach – This article use method studies library conceptual with approach qualitative- descriptive analysis done to six work main topic that discusses strategic HR topics , digitalization organization and learning organization . Synthesis done For building an integrative model that emphasizes influence digital transformation towards performance and development of organizational human resources . Findings – Results of analysis show that approach adaptive-cognitive can strengthening HR strategy in face change environment business . Merger digital competence , ability Study organization , as well as leadership transformative proven become key in optimize HR functions in general strategic . HR is not Again only nature administrative , but is driving force main innovation and efficiency . Implications practical – Organization need designing repeat digital learning- based HR policies , building ecosystem management knowledge , as well as push culture Innovation . Data- driven and intelligence-driven HR practices artificial is also recommended For taking decision strategic . Originality / Value – This article offer novelty conceptual through integration theory learning organization and approach mark in digital HR management . Contribution This expand traditional HRM coverage to realm more strategic​ responsive to challenge technology .

The rapid development of Artificial Intelligence (AI) has opened new opportunities for teachers in designing instructional materials. This study aims to describe the effectiveness of using Perplexity AI in designing Natural and Social Science Knowledge (IPAS) materials in elementary schools. Using a quantitative descriptive approach, data was collected through questionnaires from three elementary school teachers as a preliminary study (pilot study). The indicators measured included ease of use, time efficiency, material quality, and usefulness. The research results indicate that Perplexity AI is highly effective, with an overall average score of 4.29, falling into the "Good" category. These findings demonstrate that Perplexity AI significantly supports teachers in organizing systematic lesson plans and improving teaching material preparation. This research provides a foundation for the broader implementation of AI tools in the education sector, suggesting that AI can be an effective aid in the development of educational content, ultimately enhancing the teaching and learning experience in schools.

The rapid development of information and communication technology has transformed the way people access information, interact, and live their daily lives. In this regard, students from the Mathematics Education Study Program at the State Islamic University of North Sumatra conducted "Smart Socialization" during a community service activity in Jaharun A Village, Galang District. The main objective of this community service activity was to increase awareness and understanding among residents of Jaharun A Village, Galang District, regarding the importance of digital literacy in facing the challenges of AI-based disinformation on social media. The implementation methods included initial observation, outreach, and interviews. The results of this activity indicated high community enthusiasm, active participation, and a better understanding of how to use social media wisely and responsibly. This activity successfully built critical public awareness of the importance of verifying information before sharing it and increased local community preparedness for the complex digital information era. This activity is expected to become a model for applicable and sustainable digital literacy education in rural areas.

In the context of accelerating global economic volatility, organizations are increasingly required to adopt agile business models that enable them to remain competitive and resilient. Although business agility has been extensively discussed from structural and technological perspectives, the strategic role of Human Resources (HR) in shaping agile organizations and addressing the future of work remains insufficiently explored. This study aims to examine how HR contributes to organizational adaptability and resilience in uncertain environments by aligning human capital practices with agile frameworks. Using a mixed-methods approach, data were collected through surveys and semi-structured interviews with HR leaders and employees in industries most exposed to economic disruption, including finance, technology, and manufacturing. The findings reveal four critical dimensions of HR’s role: workforce flexibility achieved through reskilling initiatives and adaptive work arrangements; agile leadership development to enhance decision-making under uncertainty; prioritization of employee well-being and engagement as foundations of organizational resilience; and digital HR transformation leveraging analytics and artificial intelligence to strengthen efficiency and collaboration. These findings validate and extend the existing literature, demonstrating that HR is not merely a supporting or administrative function but a strategic driver of agility. The study concludes that by embedding HR strategies into organizational agility frameworks, companies can better navigate economic turbulence, enhance workforce adaptability, and secure long-term competitiveness in the global market.

The development of the digital economy has driven major changes in consumer behavior, from traditional transactions to online interactions. These changes present both challenges and opportunities for businesses, particularly in the e-commerce sector, where consumer trust, data privacy, and digital technology adoption are important factors in decision-making. This study aims to map global trends in online consumer behavior research in the context of the digital economy using bibliometric analysis. Data was collected from the Scopus database using the keyword “online consumer behavior” for the period 2020-2025. The dataset was exported in CSV format and analyzed using VOSviewer and R Studio (Biblioshiny). The analysis included annual publication trends, identification of authors, journals, countries, as well as keyword mapping and citation networks. The results show a significant increase in publications after 2020, with China, the United States, and India as the main contributors. Keyword mapping reveals four research clusters: consumer trust and data privacy, e-commerce and digital platform adoption, consumer experience and personalization, and social commerce and social media influence. These findings confirm a growing research focus on issues of digital trust and opportunities for utilizing new technologies such as artificial intelligence and social media. This study provides a comprehensive overview of global trends in online consumer behavior and an important contribution to academics, practitioners, and policymakers.

Research aims to explore the influence of robo-advisor usage, trust in artificial intelligence (AI), financial literacy, and risk tolerance on investment behavior and its impact on the portfolio performance of retail investors in Indonesia. This study applies a quantitative approach, collecting data from 100 respondents who use investment applications such as Bibit, Ajaib, and Bareksa through the distribution of structured questionnaires with a 5-point Likert scale. Data analysis was carried out using the Structural Equation Modeling (SEM) technique. The results indicate that the four independent variables robo-advisor usage, trust in AI, financial literacy, and risk tolerance significantly affect investment behavior, which in turn has a positive effect on portfolio performance. High trust in AI combined with strong financial literacy fosters more disciplined and rational investment behavior. These findings highlight the importance of effective AI technology integration, improving financial literacy, and managing risk preferences to enhance investment decision-making quality and financial well-being. The study contributes to behavioral finance literature and offers practical implications for fintech developers and policymakers in emerging markets.

This study explores the intersection of Artificial Intelligence (AI), agriculture, and decolonial philosophy, emphasizing the role of local knowledge as the foundation for sustainable agricultural technology in Indonesia. The research investigates how AI can be developed not as a tool of technological domination but as a dialogical partner that recognizes the epistemic value of indigenous wisdom. Using a mixed-method approach, the study combines algorithmic experiments applying lightweight Convolutional Neural Networks (CNN) with Explainable AI (XAI) methods such as SHAP and LIME with participatory interviews involving farmers in Bima District. Empirical findings show that models integrated with localized visualization and community-based interpretability improved user trust by 84% and reduced computational energy by 28% without compromising accuracy. More importantly, the interaction between AI and farmers revealed a form of epistemic integration where algorithmic logic aligns with traditional indicators, such as soil texture, humidity, and seasonal signs known to local farmers. Philosophically, this research asserts that sustainable AI should emerge from ecological and cultural contexts rather than imposing external frameworks. In the decolonial sense, it positions local farmers not as passive users but as active epistemic agents shaping the meaning of technology. Thus, AI becomes not only a technical instrument but a site of ethical and epistemic liberation that reaffirms human responsibility toward knowledge, culture, and the earth.

Generation Z is the first generation to grow up entirely in a digital ecosystem. Their adaptive, visual, and hands-on experience-oriented characteristics demand innovation in learning models. This article aims to examine the urgency of implementing a personalized learning approach in modern education as a response to the learning needs of Generation Z. The research method used is a library research review of a number of scientific literature and recent research reports relevant to the characteristics and learning strategies of Gen Z. The results of the study indicate that a personalized approach can increase motivation, engagement, and learning independence by adjusting the pace and learning style, and utilizing adaptive technology based on artificial intelligence (AI). Teachers act as mentors, providing personalized guidance and building empathetic relationships with students. The conclusion of this study confirms that personalized learning is not merely a pedagogical innovation but a strategic imperative to ensure the relevance of education in the digital age.  

The development of artificial intelligence capabilities has the potential to facilitate the implementation of preventive measures. In order to mitigate potential risks, this study seeks to examine the legal status of artificial intelligence in Indonesia. The potential for artificial intelligence to function as both the subject and object of law is a salient factor in this analysis. The methodological approach employed is of a normative or doctrinal nature, emphasizing a comprehensive examination of the legal perspective on artificial intelligence. This study encompasses the objectives of progressive legal theory, the theory of legal subjects and objects, and the legal norms that apply in Indonesia. The results of the study indicate that in Indonesia, the prevailing legal framework regarding artificial intelligence (AI) currently categorizes it as an object of law. This implies that the owner, developer, and user of AI bear full responsibility for any consequences that may arise from its use. Advances in technology have led to the development of artificial intelligence capable of performing legal actions that were previously exclusive to humans. Consequently, the establishment of specific regulations pertaining to artificial intelligence is imperative to ensure legal certainty in the future.

The development of information technology in the era of the Industrial Revolution 5.0 has brought significant changes to the world of education, including guidance and counseling services in schools. The use of artificial intelligence (AI)-based chatbots is an innovation that can improve the effectiveness, accessibility, and interactivity of services for students. However, on the other hand, the use of this technology also raises challenges related to ethics, privacy, and the decline of humanistic values in counseling interactions. Based on this, this study aims to analyze the positive and negative impacts of chatbots on the effectiveness of guidance and counseling services in schools. This study uses library research. Data were collected from various sources, such as books and journals related to the impact and role of chatbot use in guidance and counseling services. The results of the study show that the use of chatbots has negative and positive impacts that are very helpful and beneficial in guidance and counseling services in the current digital era, but they only function as a supporting tool and cannot replace the role of human counselors.

This study investigates the impact of ethical norms in the application of artificial intelligence (AI) on personalized learning satisfaction among college students in Guizhou. The research focuses on how ethical aspects, such as data privacy, algorithmic fairness, and transparency, affect students' experiences with AI-driven educational tools. It underscores the importance of user control, ethics training, and system transparency in building trust and promoting active engagement in AI-powered learning environments. Findings from a sample of 388 college students reveal that when students are informed about the ethical considerations behind AI technologies and have control over their data, they exhibit higher satisfaction with personalized learning experiences. Furthermore, the study highlights that the integration of ethical principles into AI applications leads to a more supportive and trustworthy educational environment, improving overall learning outcomes. This research emphasizes that ethical AI practices are essential for fostering a positive and productive learning experience in the context of higher education.

Artificial intelligence (AI) has developed rapidly in recent years, making judgments and executing tasks in ways comparable to decisions made by the human brain. These technological advances allow AI to replace or complement human work in various fields, but they also raise complex legal questions regarding accountability for the actions it performs. This study employs a normative juridical research methodology, which emphasizes the analysis of laws and regulations, concepts, principles, and legal theories, using literature as the primary data source. The findings show that AI, despite its advanced capabilities, remains a legal object rather than a legal subject. In accordance with Government Regulation No. 71 of 2019 on the Implementation of Electronic Systems and Transactions in Indonesia, AI cannot be considered a legal entity with independent rights and obligations. Consequently, AI cannot be held legally accountable for its actions, as it operates under human creation, programming, and direction. Responsibility for any consequences arising from the use of AI lies with the individuals or institutions that develop, operate, and control it. This study highlights the importance of establishing a clear legal framework to regulate AI applications, ensuring that technological innovation aligns with legal certainty and accountability. It concludes that while AI may imitate human decision-making, it lacks autonomy in the legal sense and therefore cannot bear responsibility under positive law.

This study presents a Systematic Literature Review on Artificial Intelligence (AI) and Natural Language Processing (NLP) applications for customer support automation and digital service optimization. The review follows the PRISMA framework to ensure methodological rigor and transparency, focusing on literature published between 2020 and 2025 from the Scopus database. The findings reveal that AI-driven technologies, including Machine Learning, Deep Learning, and Large Language Models, have significantly improved efficiency, response time, and customer satisfaction in customer support and digital service. Common NLP applications include sentiment analysis, ticket classification, and automated response generation. Among these, hybrid and transformer-based models demonstrate superior accuracy and contextual understanding compared to traditional algorithms. However, several challenges persist, including data quality limitations, privacy and security concerns, algorithmic bias, and linguistic ambiguities such as sarcasm and negation. Moreover, issues related to trust and ethical adoption continue to influence user acceptance of AI systems. This review provides a comprehensive synthesis of current methodologies, trends, and research gaps, offering insights for future studies to develop explainable, secure, and human-centered AI systems that enhance the sustainability and transparency of digital customer support services.