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Research on the preservation of local culture amidst globalization emphasizes the importance of a systematic educational strategy aligned with government policy. The main focus of this study is the role of educational institutions in introducing and maintaining the sustainability of Simalungun culture, considering that the cultural knowledge of the younger generation is declining due to modernization and the influence of the media. The research objective was to develop and evaluate SIMALOKA, an artificial intelligence-based framework with a teacher-in-the-loop approach that integrates Simalungun language, arts, rituals, and crafts into both formal and non-formal curricula. The method used combines natural language processing to tag content, a knowledge graph to map cultural concepts and skills, and a multi-objective optimization algorithm to develop balanced learning modules according to the cultural calendar. The system was tested using a dataset containing 1,850 cultural learning objects and produced modules with an average cultural coverage deviation of 3.4%, a content relevance score of 0.92, and an engagement rate of 87.1%, superior to two state-of-the-art baseline models. The results show that the combination of AI-based optimization and human validation can maintain cultural authenticity while significantly increasing student participation. These findings strengthen the hypothesis that context-sensitive, technology-based curriculum design can strengthen local cultural identity without neglecting educational policy demands. The study's conclusions confirm that SIMALOKA is a large-scale model that can be adapted to other local cultures, providing important implications for policymakers, educators, and cultural organizations in maintaining the sustainability of cultural heritage. Future research directions are directed at assessing long-term retention, resource constraints, and cross-cultural adaptation to make cultural preservation more inclusive and effective.

The rapid development of smart cities, integrating technologies like artificial intelligence (AI), the Internet of Things (IoT), and big data analytics, has transformed urban environments, improving public services and governance. However, this progress presents challenges in inclusivity, accountability, and equity, requiring updates to public service law to address emerging concerns. As digital technologies reshape governance, legal frameworks must balance innovation with citizens' rights protection. This study explores the intersection of law, technology, and society in smart cities, focusing on the implications of digital transformation on public service law. It identifies challenges in governance, including the digital divide, privacy protection, and data security. The research aims to propose an inclusive legal framework that supports technological innovation while promoting accountability and social equity in smart cities. A socio-legal approach is used, combining case studies, policy analysis, and stakeholder interviews. The findings reveal that while digital transformation improves efficiency, challenges remain in citizen participation and reducing inequalities. Successful smart city models, such as those in Barcelona and Tallinn, prioritize inclusivity, accountability, and participation. The study highlights the need for flexible, adaptive legal frameworks to ensure that smart cities are governed inclusively, transparently, and equitably.

Technological literacy among high school mathematics teachers is a crucial aspect in realizing creative, interactive, and relevant learning to meet the demands of the 21st century. However, the reality on the ground shows that most mathematics teachers still have limited experience in improving technological literacy, particularly in the use of artificial intelligence (AI) as a learning support medium. This condition has implications for low innovation in the mathematics learning process. This community service activity aims to optimize the use of AI, specifically Generative-AI technology, in supporting mathematics learning in high schools. The target group is members of the High School Mathematics Subject Teachers' Conference (MGMP) throughout Grobogan Regency, Central Java Province, Indonesia. The implementation method includes workshops, interactive discussions, hands-on practice, and mentoring in the development of AI-based mathematics teaching materials, assessments, and learning media. The training materials include an introduction to the basic concepts of Generative-AI, effective prompting techniques, and practice using various AI applications to produce interactive and contextual teaching materials. Evaluation results showed that all training participants agreed or strongly agreed that this activity successfully improved their understanding of the basic concepts of Generative AI and their skills in operating AI applications for mathematics learning. Participants also reported increased confidence in integrating AI technology into their teaching practices, as well as gaining various relevant practical ideas for classroom implementation. High enthusiasm was evident in the 100% commitment of participants who expressed their readiness to implement AI technology in mathematics learning. Thus, this training not only contributed to improving teachers' technological literacy but also became a strategic step in encouraging innovative and adaptive transformation of mathematics learning in the digital era.

This study investigates how artificial intelligence (AI) is transforming Islamic journalism and digital da’wah by analyzing the ethical challenges posed by algorithmically mediated media. Employing a critical-interpretive approach, the research examines how algorithmic logic impacts the production, visibility, and ethical dimensions of Islamic content on platforms such as YouTube and TikTok. The findings reveal a growing tension between Islamic communication principles—sidq (truth), amanah (trust), and hikmah (wisdom)—and the operational values of AI systems that prioritize virality, personalization, and engagement metrics. This paper contributes to global discourse by proposing a hybrid ethical framework that bridges Islamic communication ethics with digital media accountability. It argues for an integrative model where spiritual integrity, transparency, and justice guide the development and use of AI in Islamic media contexts.  

The advancement of artificial intelligence (AI) has opened new opportunities in education, particularly at the primary level. This article presents the outcomes of an AI training program for early childhood education (PAUD) teachers in Semarang Regency, aimed at enhancing their understanding and skills in integrating technology into teaching and administration. The study employed observations, interviews, post-tests, and focus group discussions. Findings reveal significant improvement in teachers’ abilities to use tools like ChatGPT and Canva, alongside increased confidence in adopting technology. However, infrastructure limitations and lack of post-training support remain key challenges. The study highlights the need for continuous and adaptive training to ensure successful AI integration in education.

The rapid advancement and integration of Artificial Intelligence (AI) into diverse sectors of society have generated complex ethical and human rights challenges. Technologies involving surveillance, data collection, algorithmic decision-making, and facial recognition pose significant risks to privacy, equality, and freedom of expression. This study examines the intersection of AI and human rights through a comparative analysis of regulatory frameworks in the European Union (EU), the United States (US), and Asia. Employing a comparative legal approach, the research analyzes international and national regulatory instruments, including the EU AI Act, the General Data Protection Regulation (GDPR), and China’s Personal Information Protection Law (PIPL). Case studies of AI-related human rights violations, such as algorithmic bias and discrimination, are incorporated to illustrate real-world implications. Findings reveal substantial differences in governance approaches: the EU emphasizes a risk-based model prioritizing human rights protections, while the US and Asia adopt more fragmented or centralized strategies. The study underscores the urgent need for global regulatory harmonization to safeguard fundamental rights and promote ethical AI development. By highlighting both strengths and limitations of existing frameworks, the research contributes to ongoing debates on balancing innovation with accountability, transparency, and human rights protection in the digital era.

Mathematical logic is a branch of science that studies the principles of logical reasoning and how to judge the truth of a statement. This article discusses the role of mathematical logic in everyday life, especially in education, technology, and finance. Mathematical logic has been proven to help improve critical, analytical, and systematic thinking skills, making it easier for individuals to solve various problems more effectively and efficiently. In the world of education, mathematical logic supports the development of rational, argumentative, and problem-solving skills, and is an important foundation in the science and mathematics curriculum. Teachers can leverage this logic to encourage students in building consistent reasoning and logical argumentation. In the field of technology, mathematical logic is the foundation in the development of modern computing systems, such as algorithms, programming, artificial intelligence, and data structures. Without mathematical logic, digital systems such as search engines, software, and applications cannot function optimally. In finance, mathematical logic plays a role in budget strategy, investment decision-making, statistical analysis, and rational risk management. With a good understanding of logic, individuals and institutions can make more wise and measurable financial decisions. Although his contribution is large, there are still many people who do not understand the basic concepts of mathematical logic. This can be overcome through more inclusive education, contextual approaches, and interactive learning based on real problems, both in schools and non-formal environments. This study emphasizes the importance of mathematical logic as a foundation in supporting a more rational, efficient, and structured life in today's modern era. Increasing mathematical logic literacy can be a national strategy to create a society that thinks critically, is competitive, and ready to face global challenges.

Mental health issues such as depression, anxiety, and stress continue to increase globally and are recognized as critical factors that influence social functioning, productivity, and overall quality of life. Conventional mental health services are often limited by barriers including high cost, geographical distance, and persistent stigma that discourage individuals from seeking timely help. The digital era provides an alternative through the integration of technology into mental health counseling, offering greater accessibility, flexibility, and anonymity. Nevertheless, a key limitation of many digital counseling platforms lies in their inability to fully capture and respond to the emotional nuances of users during interactions. This study aims to address that gap by developing a speech-based emotion detection framework designed to be integrated into digital counseling environments. The proposed methodology includes the collection and preprocessing of speech samples, feature extraction using acoustic parameters, and training machine learning models to classify emotions in real time. Experimental results demonstrate that this approach significantly improves the accuracy of emotion detection, enabling digital counseling systems to provide more adaptive and personalized support. Beyond counseling, the research highlights the broader applicability of speech emotion recognition in education, telemedicine, and interactive digital assistants, all of which benefit from improved sensitivity to human emotions. These findings underscore the potential of artificial intelligence to strengthen digital mental health interventions, ensuring services that are not only more efficient and inclusive but also capable of fostering long-term emotional well-being in diverse populations.

This research discusses the integration of Artificial Intelligence (AI) in Arabic language learning with a focus on personalizing teaching materials according to learner needs. The background of this research is based on the challenges in teaching Arabic which include the diversity of students' backgrounds. The research was conducted with a descriptive qualitative approach through observation, interview, and documentation study of the AI platform. The results show that AI is able to analyze students' strengths and weaknesses, provide adaptive content, and increase learning motivation. This study concludes that AI can be an effective tool in supporting more personalized and relevant Arabic language learning. Recommendations include teacher training, gradual adoption of technology, and development of local AI-based platforms.

The use of artificial intelligence (AI) in education holds significant potential to enhance the quality of learning and the effectiveness of teaching. This study aims to evaluate a teacher competency development program through the integration of AI, particularly in the development of AI-based teaching materials utilizing the Kelas Ajaib feature in the Canva application. The training involved 40 teachers from SMP Negeri 1 Kota Ambon and was conducted through workshops and interactive simulations. Evaluation results indicated an 85% level of participant enthusiasm and 86% satisfaction, reflecting a highly positive response to the program. However, teacher competence in creating AI-based instructional media reached only 75%, suggesting a need for further mentoring and improved supporting infrastructure. The main challenges identified included limited hardware availability and difficulties in adapting to new technologies. Therefore, follow-up training, enhanced technical support, and improved school facilities are recommended. Collaboration among educational stakeholders is essential to ensure the sustainability of AI integration in the learning process. Further research is recommended to examine the long-term impact of AI implementation on teaching quality and student engagement.

The Era of the 4.0 Industrial Revolution has transformed various aspects of life, particularly with the advent of Artificial Intelligence (AI), which brings innovation and efficiency to sectors such as healthcare, education, and governance. However, the rapid development of AI also presents challenges related to law and ethics that must be addressed, such as legal responsibility for damages caused, secure management of personal data, and ethical boundaries regarding technological intervention. This article aims to discuss the legal and ethical issues surrounding the use of AI in Indonesia, focusing on the importance of developing an adaptive legal framework and the application of appropriate ethical principles. This research uses a normative research method with a regulatory approach and a conceptual approach. The discussion covers the definition of AI, legal and ethical challenges in its use, and recommendations for responsible technology implementation. The findings suggest that to ensure fair and sustainable use of AI, Indonesia needs to strengthen existing regulations, raise ethical awareness in society, and establish a dedicated regulatory body for AI technology.

The livestock industry plays a strategic role in providing animal-based food, yet it continues to face challenges related to efficiency and sustainability. Issues such as land limitations, animal diseases, and feed price fluctuations demand innovative production systems. One emerging solution is digital livestock farming, which integrates information and communication technologies into livestock management. This study aims to examine the role of digital livestock farming in improving production efficiency through a literature review of scientific sources published between 2017 and 2024. Literature was gathered from electronic databases and analyzed using a descriptive-qualitative approach with thematic analysis. The findings reveal that technologies such as the Internet of Things, biometric sensors, big data, and artificial intelligence enhance feed efficiency, animal health, reproduction, and labor management. Moreover, these technologies improve animal welfare and reduce environmental impact. However, challenges such as low digital literacy, limited infrastructure, and insufficient policy support hinder implementation, especially in developing countries. This review highlights the need for cross-sector collaboration to support sustainable digital livestock adoption.

In the growing era of Artificial Intelligence (AI), communication technology plays an important role in supporting the effectiveness and efficiency of business operations. This research aims to analyze how the implementation of business communication technologies, such as email, video conferencing, online collaboration platforms, and information management systems, can improve efficiency in work processes and decision making. The methods used in this research are literature study and case analysis of several companies that have successfully integrated communication technology in their business activities. The results show that the strategic use of communication technology can speed up the flow of information, reduce operational costs, and improve productivity and coordination between teams. The findings emphasize the importance of appropriate adoption of communication technology in improving business competitiveness amidst changing market dynamics.  

This study highlights the paradigmatic shift in human resource management (HRM) in response to the complexities of globalization. Globalization has not only expanded the geographical scope of business but also reconfigured demands for competencies, technology, and cultural dynamics within organizations. Using the systematic literature review (SLR) method, this article examines adaptive HRM strategies focused on three pillars: (1) developing global competencies through cross-cultural training and digital literacy, (2) integrating technologies such as artificial intelligence (AI) in recruitment and performance evaluation, and (3) managing cultural diversity to create an inclusive work ecosystem. Analytical findings reveal that organizations with holistic HRM approaches combining strategic agility, investment in employee upskilling, and data-driven systems tend to excel in mitigating risks of global market disruptions. Critical insights emphasize that success relies not only on technology adoption but also on managerial capabilities to address cultural conflicts and facilitate cross-border collaboration. The research concludes that strategic HRM serves as a driver of organizational innovation and sustainability, with practical recommendations for companies to develop evidence-based HRM frameworks aligned with global trends. 

Numeracy is an essential competency that supports students’ ability to reason quantitatively and solve real-life problems. However, students in Indonesia often face challenges in understanding mathematical concepts and applying them in everyday contexts. In response to this, a community service program was conducted at SMP Insan Rabbany, Tangerang Selatan, focusing on the integration of Artificial Intelligence (AI) applications such as ChatGPT and Educaplay in mathematics learning. The program aimed to improve students’ numeracy literacy and provide teachers with the capacity to utilize AI tools effectively. The activities included training sessions for teachers, and direct assistance in classroom implementation. The results showed a significant uses in students’ ability of numeracy. Moreover, teachers expressed increased confidence in incorporating AI-based methods into their lessons. This program highlights the potential of AI to enhance numeracy skills and underscores the importance of technological support and teacher training in the digital age.

This study examines the application of big data analytics on Bhinneka.com, a leading e-commerce platform in Indonesia, to tackle the increasing in complexity of online user behavior in a swiftly changing digital environment. The primary issue is too challenges in evaluating extensive, unstructured, and heterogeneous user data, which obstructs personalization, marketing efficacy, and operational decision-making. The study seeks to assess the efficacy of big data instruments, specifically Artificial Intelligence Recommendation (AIRec) and Customer Data Platform (CDP), in improving user behavior forecasting. Service customization, and data-informed strategies. This study utilizes a qualitative case study methodology, including literature review and platform observation, to synthesis the many forms of big data analytics (descriptive, diagnostic, predictive, and prescriptive) and their implementation at Bhinneka.com. Significant findings indicate that the integration of AIRec and CDP has augmented the platform’s capacity to predict consumer preferences, improve marketing accuracy, and optimize logistics. However, obstacles stay the same, such as disjointed data systems, data quality concerns, and internal opposition to embracing a data-driven culture. The study suggests that although big data analytics substantially enhances Bhinneka.com’s digital competitiveness, ongoing investment in data infrastructure and organizational competence is crucial to fully harness its potential and preserve a competitive advantage in Indonesia’s e-commerce market.

The increasingly advanced era is certainly followed by various developments in the fields of economy, social, culture and even technology. Technological progress in various countries can be seen from the existence of a technology called AI. Artificial Intelligence or AI is an artificial intelligence technology that has the ability to solve problems like humans. In practice, AI will simulate human intelligence with the ability to recognize images, write and even make predictions based on data. Lately, AI has begun to be misused by individuals who feel they are benefiting. In Indonesia, the misuse of AI technology has been rampant where perpetrators use AI for fraud. An act that uses technology as the main weapon of crime is included in the category of cyber crime. The rampant case of cyber crime in Indonesia is the act of voice imitation or voice cloning. The perpetrators in committing their crimes usually use a technological intermediary that can change their voice so that it is similar to the voice of relatives, friends, family or important people or public figures recognized by the victim. Voice imitation or known as voice cloning is the ability to imitate a voice that is similar to the original voice. Voice cloning using AI technology is an imitation of the human voice with an extraordinary level of accuracy of similarity, both in intonation, tone, and also voice patterns. The law on information and electronic transactions contains various regulations regarding information and electronic transactions, but the law does not explain in detail the misuse of AI in voice cloning because there are still limitations in the ITE law regarding criminal acts of voice cloning fraud and until now criminal acts of voice cloning are still rampant.

This research uses a qualitative method to explore the integration of Artificial Intelligence (AI) in marketing tactics and its impact on the development of marketing skills among the new generation. The main focus is on the use of AI in analyzing consumer behavior, content personalization, campaign automation, and data-driven decision-making. The findings reveal that AI not only enhances operational efficiency but also drives a transformation in the skill sets required by modern marketers, such as data analysis capabilities, technological literacy, and adaptability to intelligent systems. Through in-depth interviews with marketing practitioners and digital document analysis, it was discovered that the new generation of marketers is required to develop more complex digital competencies and engage in multidisciplinary collaboration. Furthermore, adaptation to technological change becomes a key factor in the success of AI-based marketing strategies. The integration of artificial intelligence in marketing practices not only reshapes work patterns but also creates new demands for continuous training and marketing education. Therefore, this research emphasizes the importance of collaboration between educational institutions, industry, and technology developers to create a competitive AI-based marketing ecosystem.

The development of Artificial Intelligence (AI) technology in the education sector has undergone major changes. These changes bring great opportunities to change the learning process to be more personal, effective, and inclusive. The purpose of this journal is to analyze the potential and challenges that need to be faced in the application of AI in education so that it can run optimally. The method used in this study is the literature review method of various recent studies that discuss the use of AI in education, The results of the study show that AI has great potential to improve the personalization of learning and educational efficiency. However, there are number of significant challenges, such as limited infrastructure, privacy and data security issues, resistance from educators and students, and the digital divide that still occurs in several regions. Therefore, a strategy is needed that includes a academic laziness that reduces learning motivation, constraints on AI contextual knowledge, Inability to process complex information, loss of literacy skills, amd the risk of addiction to AI technology. With a planned and sustainable strategy, AI has great potential to improve the quality of national education and also reduce the dangers that may arise from the modern technological era.

Artificial Intelligence (AI) has become an essential tool in the world of management for decision-making. This article examines the ways in which AI can be used to improve the quality and speed of decision-making, and how AI can improve the operational efficiency of companies. In addition, this article also examines the challenges and opportunities that companies face in adopting AI.In the rapidly evolving digital era, AI has become an essential component of modern business strategies. Today's managers are often faced with the challenge of analyzing very large and complex volumes of data. To make good and timely decisions, AI offers a potential solution with fast and precise data analysis capabilities.The use of AI in decision-making involves machine learning algorithms and models to efficiently process and analyze large amounts of data. This helps managers gain deeper and more accurate insights, enabling more effective decision-making.