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In the era of the Industrial Revolution 4.0 and Society 5.0, digital technology is developing rapidly. This has prompted the world of education to make major changes in learning methods, including in Islamic Religious Education (PAI). Until now, PAI has used outdated methods. These methods are inadequate to meet the needs of children who are accustomed to technology. Therefore, there is a need for technology integration in the learning process. This study aims to determine how to use E-Learning, Learning Management Systems (LMS), and Artificial Intelligence (AI) in PAI learning. This study also aims to determine the benefits, challenges, and strategies for implementing these technologies. This study used a qualitative approach with a literature review type. Data were obtained from various sources, such as books, scientific articles, journals, and relevant documents. The results show that the use of E-Learning, LMS, and AI can improve the quality of PAI learning. E-Learning makes learning easier and more flexible. LMS helps manage learning more systematically. AI helps make learning more personalized and tailored to students' needs. However, the implementation of these technologies still faces several challenges, such as limited infrastructure and low digital skills of teachers and students. Therefore, a strategy is needed to address these challenges. This strategy includes enhancing digital capabilities, strengthening technological infrastructure, developing innovative learning media, and monitoring the use of technology based on Islamic values. This will ensure optimal integration of technology into Islamic Religious Education learning.

This study aims to analyze the skills gap in the era of the Industrial Revolution 4.0 and the factors influencing it. The research employed a descriptive-analytical approach based on literature studies and the author’s analysis of the dynamics of formal education curricula and the development of industrial needs. The findings indicate that formal education curricula that are less adaptive to technological developments are the main factor causing the skills gap. In addition, the slow adaptation to technology in educational and industrial environments, as well as the unequal distribution of skills development across various regions in Indonesia, further widen the gap between graduates’ competencies and labor market demands. This condition affects the low readiness of the workforce in facing digital transformation and global competition. The study concludes that the skills gap is a strategic issue requiring serious attention from the government, educational institutions, and the industrial sector. Curriculum reform that is responsive to technological advancements, strengthening digital literacy, and ensuring equal access to training and skills development are essential steps to improve the competitiveness of Indonesian human resources. These efforts are expected to support poverty reduction, reduce social inequality, and achieve the long-term national development goals toward Indonesia Golden Vision 2045.

The swift proliferation of short-video-centric social media, notably TikTok, has revolutionized the educational landscape by facilitating novel methods of knowledge production, dissemination, and interpretation. This phenomenon denotes a transition in media and signifies an epistemological transformation in educational practices within the digital age. This study seeks to analyze the representation and interpretation of knowledge in TikTok educational content using a qualitative methodology grounded in an interpretive case study framework. Data were gathered via digital participant observation, comprehensive interviews, and document analysis involving 12 participants, comprising educational content creators and active TikTok users in higher education settings. Thematic data analysis was performed utilizing a Multimodal Critical Discourse Analysis framework to elucidate the interplay among visual, verbal, and auditory components in the construction of meaning. The results show three main patterns: the conflict between quick understanding and deep knowledge, the importance of emotional multimodal experiences in learning, and the negotiation of knowledge authority in changing digital spaces. These results indicate that learning via TikTok encompasses not only cognitive aspects but also intricate emotional, aesthetic, and social dimensions. This study theoretically enhances multimodal discourse analysis by integrating users' subjective experiences, while practically informing the advancement of critical digital literacy and the design of social media-based learning. Moreover, this study facilitates additional investigation into algorithmic dynamics, digital identity, and the evolution of learning methodologies within platform-centric contexts.

This study aims to analyze public relations strategies in the implementation of the Mental Revolution Program through Instagram at the Coordinating Ministry for Human Development and Cultural Affairs of the Republic of Indonesia. The Mental Revolution represents an effort to transform public mindsets, attitudes, and behaviors based on the values of integrity, work ethic, and mutual cooperation in order to build a progressive and competitive nation. This research employs a descriptive qualitative approach with a case study method. Data were collected through observation, in-depth interviews, documentation, and triangulation to ensure comprehensive findings. The results indicate that the implemented public relations strategies have optimally utilized social media as a means of public communication, particularly in reaching younger audiences. These strategies include the development of positive content, cross-sector collaboration, and the use of media relations to expand information dissemination. The SWOT analysis reveals that the main strengths lie in effective team coordination, structured communication strategies, and a strong organizational culture, while weaknesses include limited human resources and insufficient technological support. Opportunities arise from extensive networks with various institutions and media, whereas threats stem from public perceptions and limited communication competencies. In practice, the Mental Revolution Program is implemented participatively through various initiatives such as Indonesia Serving, Clean, Orderly, Independent, and United, which are disseminated via Instagram. However, its implementation has not been evenly distributed across regions and has only reached approximately 70%, due to budget constraints and varying levels of commitment among local governments. Therefore, the success of this program largely depends on synergy among stakeholders and consistency in internalizing transformative values within society.

This paper examines the shift in the economic paradigm in Indonesia through digitalization, driven by the Fourth Industrial Revolution and the transition towards Society 5.0. The people's economy based on SMEs faces significant new challenges and opportunities in this era. Using a literature approach and case studies, this article highlights how information technology plays a role not only as a marketing tool but also as an instrument to strengthen economic sovereignty in accordance with the mandate of Article 33 of the 1945 Constitution. The findings indicate that the success of digital transformation depends on the synergy between supportive government policies, private sector innovation, and the adaptability of SME actors. In facing global challenges, the proposed strategy includes strengthening digital literacy for all levels of society and protecting the domestic market from the influx of foreign products that could threaten the sustainability of SMEs. This is crucial to ensure the future resilience of the national economy while also promoting the sustainable growth of the SME sector. Thus, digitalization is not only an efficiency solution but also a key factor in reinforcing Indonesia's people-based economy in the globalization era.

The digital era has fundamentally revolutionized human interaction and information processing, particularly for Generation Z as digital natives. This research aims to identify the characteristics of digital information consumed by Generation Z and evaluate their long-term memory (LTM) capacity in the digital age. Using a Systematic Literature Review (SLR) method with a qualitative approach, 15 relevant studies published between 2021 and 2026 were analyzed from databases such as Scopus, Google Scholar, and ScienceDirect. The findings indicate that digital information characteristics—which are often "bite-sized," visual, and rapidly consumed—tend to encourage shallow encoding and digital amnesia. However, the study also found a dual impact: while high cognitive load and constant multitasking can hinder memory consolidation, structured digital use and interactive learning modules can significantly enhance memory retention. These results imply that optimal cognitive function in the digital era highly depends on digital literacy and effective information management strategies to balance technological use with natural cognitive sharpness.

This study explores the themes of poverty and educational values in the novel Al-Bidayah wa al-Nihayah by Naguib Mahfouz using the sociology of literature approach developed by Alan Swingewood. The novel is selected because it portrays the social reality of Egyptian society in the 1940s, particularly the lower class facing economic hardship, social inequality, and limited social mobility. This research employs a qualitative descriptive method through reading, note-taking, and library research. The data are drawn from narratives, dialogues, and events in the novel that reflect both poverty and educational values. The analysis is conducted by relating the textual content to its social and historical context. The findings indicate that poverty is not merely an economic issue but also a structural condition affecting the psychological, moral, and social aspects of the characters. Furthermore, the novel conveys educational values, including religious, moral, social, and cultural dimensions, which are closely linked to the realities of pre-revolutionary Egyptian society. Overall, Swingewood’s approach highlights the novel as a form of social critique as well as a medium for fostering readers’ social awareness.

Digital transformation has brought fundamental changes to the structure and dynamics of modern industrial economics. Technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and big data not only modify production and distribution processes but also revolutionize marketing strategies and patterns of industrial competition. This study is motivated by the need to understand how digital marketing transformation influences the development of competitive advantage through changes in digital market structure from an industrial economics perspective. In this context, digital marketing functions as a strategic instrument that integrates technology, data, and consumer behavior into market mechanisms. The analysis shows that digitalization creates a network-based market structure characterized by the concentration of economic power in major digital platforms and dominance in data control. This structure affects the intensity of competition, the direction of innovation, and patterns of industry differentiation. Digital marketing transformation enhances efficiency, expands market access, and lowers entry barriers for new players, yet it also creates competitive imbalances due to the dominance of large platforms.Through a digital Structure–Conduct–Performance (SCP) approach, the study finds that market structure acts as an intermediary variable that channels the impact of digitalization on competitive advantage. Digitalization significantly promotes industrial efficiency, innovation, and profitability. Proposed strategic solutions include strengthening digital literacy, developing adaptive regulations, and fostering cross-sector collaboration to create an inclusive, competitive, and sustainable digital industrial ecosystem

Introduction: Additive Manufacturing (AM) has revolutionized the production of complex geometries, offering flexibility, customization, and precision across various industries. However, optimizing multiple process parameters simultaneously to enhance AM performance remains a significant challenge. This study focuses on improving both mechanical properties and surface quality by utilizing multi-objective optimization techniques. Literature Review: The research reviews existing approaches in AM optimization, highlighting the limitations of single-objective optimization and the potential of multi-objective evolutionary algorithms (MOEAs). Previous studies demonstrate the difficulty of balancing competing objectives, such as tensile strength and surface roughness, within AM processes. Materials and Method: This study employs NSGA-II, MOEA/D, and SPEA2 algorithms to optimize AM parameters like layer thickness, build orientation, and infill density. The optimization aims to improve mechanical performance, including tensile strength and impact resistance, while reducing build time and surface roughness. The methodology integrates experimental validation with computational predictions to evaluate the effectiveness of these algorithms. Results and Discussion: The optimization process yielded Pareto-optimal solutions that balanced mechanical strength and surface quality. The results demonstrated improvements in tensile strength and surface finish without significantly increasing build time. Trade-off analysis highlighted the inherent conflicts between mechanical performance and surface quality, allowing for better decision-making in industrial applications. The study contributes to the AM industry by offering a comprehensive optimization framework for improving both efficiency and product quality.

Digital revolution and the disruption of the global labor market have made public organizations, especially vocational training institutions, even more complicated. This study seeks to examine the impact of dynamic skills on institutional resilience, with innovative leadership serving as a mediating variable. The study employed a quantitative methodology, utilizing data collected from 180 employees at the Medan Vocational and Productivity Training Center (BBPVP). We used Structural Equation Modeling based on Partial Least Squares (SEM-PLS) to look at the data. The findings indicate that dynamic capabilities exert a positive and significant influence on institutional resilience, underscoring the necessity for an organization to identify, capitalize on opportunities, and adapt to change. Dynamic qualities also have a big effect on inventive leadership, which is very important for making organizational change happen. Innovative leadership demonstrably influences institutional resilience and serves as a partial mediator between dynamic capabilities and institutional resilience. This research offers a theoretical advancement by synthesizing institutional theory, dynamic capacities, and innovative leadership to elucidate public organizational resilience. In practical terms, the findings of this study have significant significance for enhancing the adaptive capacity of vocational training institutions in the context of digital disruption.

Information technology advancements have sparked a digital revolution in village government operations, especially in tracking and assessing village officials' performance. Performance evaluation is still done by hand in many village government organizations, which frequently causes reporting delays, ineffective data processing, and a lack of transparency in the evaluation process. In order to facilitate a more efficient and organized monitoring and performance evaluation process, an information system therefore required. In order to support the management village apparatus data, performance assessment procedures, and integrated reporting, this study intends design and develop a web-based monitoring system for assessing the performance village officials. To represent the system processes in an organized way, the system design is modeled using the Unified Modeling Language (UML), which includes use case diagrams, activity diagrams, and sequence diagrams. To make sure that every system function performs in accordance with user requirements, system testing is carried out using the Black Box Testing method. The findings demonstrate the system's ability handle village apparatus data, carry out automated performance evaluation procedures, compute final scores using assessment indicators, and produce precise performance reports. It is anticipated that the system's implementation will enhance the village officials' performance monitoring procedure's efficacy, efficiency, transparency, and structure.

The rapid development of technology in the era of the Industrial Revolution 4.0 has driven the education sector to continuously adapt to the evolving demands of digital-based industries. One of the key technological innovations supporting this transformation is the Internet of Things (IoT), which enables data acquisition, real-time monitoring, and remote control of systems through internet networks. In response to these developments, a community service program was conducted to enhance the understanding and technical skills of students at SMK Negeri 1 Sindang through the provision and utilization of an IoT Trainer Kit Simulator as a practical learning medium. This activity aimed to bridge the gap between theoretical knowledge and industry-relevant technological applications by introducing students to hands-on IoT system implementation. The program included demonstrations and guided practice on the use of sensors, microcontrollers, and web-based monitoring platforms to simulate real-world industrial scenarios. The results indicate that students showed high enthusiasm and active participation throughout the activity. Moreover, participants were able to grasp the fundamental concepts of IoT systems, understand component integration, and recognize the relevance of IoT applications in supporting automation and digital transformation. Overall, this community service activity contributed positively to strengthening students’ digital competencies and preparedness for the demands of the contemporary industrial and technological landscape.

This study analyzes George Orwell's novel Animal Farm as a reflection of social conflicts in the 1917 Russian Revolution using M.H. Abrams' mimetic approach. The novel functions as an allegory, with Mr. Jones representing Tsar Nicholas II, Snowball as Leon Trotsky, and Napoleon as Joseph Stalin. Through the mimetic approach, this research identifies how the rebellion, power struggles, and the corruption of revolutionary ideals are depicted in the novel, ultimately leading to dictatorship that mirrors the regime they initially rejected. Orwell highlights how the revolution's original vision of equality was ultimately betrayed by the new leaders. The findings of this study show that Animal Farm not only critiques Stalinism but also reflects broader social and political phenomena related to the concentration of power, abuse of authority, and the cyclical nature of power in history. This study supports mimetic theory by demonstrating how literature can deeply reflect historical realities, contributing to the discourse in both literature and politics, and serving as a reminder of the dangers of authoritarianism.

This study analyzes George Orwell's novel Animal Farm as a reflection of social conflicts in the 1917 Russian Revolution using M.H. Abrams' mimetic approach. The novel functions as an allegory, with Mr. Jones representing Tsar Nicholas II, Snowball as Leon Trotsky, and Napoleon as Joseph Stalin. Through the mimetic approach, this research identifies how the rebellion, power struggles, and the corruption of revolutionary ideals are depicted in the novel, ultimately leading to dictatorship that mirrors the regime they initially rejected. Orwell highlights how the revolution's original vision of equality was ultimately betrayed by the new leaders. The findings of this study show that Animal Farm not only critiques Stalinism but also reflects broader social and political phenomena related to the concentration of power, abuse of authority, and the cyclical nature of power in history. This study supports mimetic theory by demonstrating how literature can deeply reflect historical realities, contributing to the discourse in both literature and politics, and serving as a reminder of the dangers of authoritarianism.

Bureaucratic reform at the village level is a crucial prerequisite for achieving professional, effective, and accountable village governance. One of the key pillars of this reform is the implementation of a merit system in the management of village human resources, particularly in the recruitment and appointment of village officials. In this context, the Computer-Assisted Test (CAT) has emerged as a policy innovation designed to enhance objectivity, transparency, and procedural fairness in the selection of village officials. This study aims to analyse the contribution of CAT implementation to strengthening the merit system and its impact on transforming village social conditions, especially in building public trust in village government. Quantitative data were collected through a survey of village residents and analysed using descriptive statistics, correlation analysis, and multiple linear regression in SPSS. Qualitative data were obtained through in-depth interviews, field observations, and document analysis to elaborate further and explain the quantitative findings. The results indicate that transparency, objectivity, and procedural fairness in the selection process have positive and significant effects on public trust in village government, with procedural fairness emerging as the most influential variable. Qualitative findings confirm that public acceptance of selection outcomes is more strongly influenced by perceptions of fairness and openness in the process than by the selection results themselves. This study concludes that the implementation of CAT functions not only serves as a technical selection instrument but also as an institutional mechanism that helps transform village social relations from patronage-based practices toward merit-based village governance.

The rapid development of information technology has brought significant changes to various aspects of life, including business and law. One of the key innovations in this context is Blockchain technology. Blockchain has revolutionized information storage and exchange, particularly in the realm of Indonesian contract transactions. It is a decentralized technology that allows for transactions between two parties who do not trust each other, without the need for a third party. The data in Blockchain is stored across the entire network, ensuring that it cannot be altered by a single party without the agreement of the entire network. Furthermore, Blockchain enhances transparency and accountability in data management. This study employs a normative legal research method with a descriptive approach. The findings reveal that Blockchain technology has significant implications for the protection of personal data and the validity of evidence in civil cases. As the technology continues to evolve, its potential to transform legal transactions in Indonesia is undeniable.

This study aims to examine the development of Islamic educational institutions in Indonesia from the classical to the modern era, as well as the factors influencing their transformation and strategies for strengthening them to remain relevant to contemporary needs without abandoning Islamic values. The research method used is a literature review (library research) by analyzing books, scientific journals, and official documents related to Islamic education, both nationally and internationally, published within the last five years. The findings indicate that Islamic education evolved from informal learning through majelis taklim, surau, and langgar, to the establishment of pesantren, madrasahs, and modern Islamic higher education institutions that integrate religious and general knowledge. The transformation of these institutions is influenced by local cultural factors, international scholarly networks, political pressures and colonialism, reformist figures, globalization, economic demands, social mobility, and national education policies. In the era of globalization and the Fourth Industrial Revolution, Islamic educational institutions face challenges such as technological access disparities, limited teacher competence in digital pedagogy, curriculum integration, and the risk of educational commodification. Strengthening strategies include developing integrative curricula, professionalizing teachers, utilizing digital technology, promoting media literacy based on Islamic values, developing entrepreneurship, revitalizing traditional knowledge, and enhancing alumni networks and visionary leadership. This study emphasizes that the synergy among pesantren, madrasahs, and Islamic higher education institutions forms a national Islamic education ecosystem that is adaptive, rooted in spiritual values, and capable of producing Muslim generations who are morally upright, knowledgeable, and globally competitive.

Particularly in emerging nations, corporate environmental criminality poses a serious threat to environmental justice, sustainable development, and legal responsibility. With a focus on corporate crime theory and green criminology, this study critically analyzes corporate environmental crime using an integrative framework that blends modern criminological viewpoints with Islamic criminal law (fiqh al-jināyah). This study examines how Islamic legal concepts, particularly the doctrine of maqāṣid al-sharī‘ah, can enhance current models of corporate criminal responsibility and environmental governance using a normative-analytical and conceptual approach. The results show that structural incentives, lax enforcement, and profit-driven rationalization tactics make traditional regulatory and penal measures ineffective at discouraging corporate environmental malfeasance. Islamic criminal law provides a revolutionary framework that places environmental conservation as both a legal requirement and a moral necessity because of its strong ethical orientation and comprehensive view of justice. With a focus on ecological balance (ḥifẓ al-bi’ah), property (ḥifẓ al-māl), and life preservation (ḥifẓ al-nafs), this study offers a value-based corporate accountability approach that goes beyond deterrence-oriented punishment and prioritizes prevention, restoration, and social responsibility. By broadening the doctrinal scope of Islamic criminal law to acknowledge corporate criminal culpability, this integrative approach makes a theoretical contribution. Practically, it informs regulatory enforcement and environmental policy change. The study presents an interdisciplinary paradigm that unites criminological analysis and religious legal reasoning, providing a strong basis for creating environmental governance systems that are just, moral, and sustainable, especially in developing nations and jurisdictions with a majority of Muslims.

The industrial revolution 4.0 has brought rapid advances in technology, one of which is artificial intelligence (AI). AI has the ability to imitate the human thought and action process in solving various problems. However, the implementation of AI raises legal problems related to responsibility for the negative impacts caused, such as cybercrime, information manipulation, privacy violations, and misuse of technology. Indonesia, as a country based on law, is faced with the challenge of regulating AI to be in line with technological developments. Currently, legal regulations in Indonesia do not specifically regulate the legal responsibility of AI. Positive laws, such as the Civil Code and the ITE Law, can be used interpretively, but are not enough to address the complexity of AI. Legal responsibility related to AI is debatable, whether it is imposed on the developer, owner, or user of AI. In addition, AI does not have a “mens rea” in criminal law, so that unlawful acts are more relevant to be imposed on the responsible human. To overcome this problem, legal reform or the creation of special regulations that comprehensively regulate AI are needed. These regulations must include privacy protection, data security, and criminal and civil liability due to the use of AI. With a clear legal framework, the risk of AI misuse can be minimized and its use can be optimized for the welfare of society.

The Integration of technology in the education sector is a crucial strategy for addressing the challenges of the Industrial Revolution 4.0. This study aims to develop and examine the effectiveness of "Physical Changes of the Earth’s Environment" learning media by utilizing the interactive features of the ClassPoint platform and Edpuzzle videos in 5th-grade elementary school. The method employed is library research with a qualitative-descriptive approach, conducted through content analysis of various relevant scientific literatures from the last five years. The research findings indicate that the synergy between ClassPoint and Edpuzzle is capable of transforming abstract science materials into more concrete and engaging content for students. ClassPoint plays a role in creating a participatory digital classroom through various real-time interaction formats, while Edpuzzle reorients video-viewing activities into an active learning process through embedded question features that stimulate critical thinking. Overall, the use of these interactive media has positive implications for the escalation of active participation, concentration, and the depth of students' conceptual understanding. This study concludes that the development of ClassPoint and Edpuzzle-based learning innovations is an effective and relevant strategic step in improving the quality standards of science education in elementary schools.