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All Journal Al-Hijr: Journal of Adulearn World Journal of Computer Science Advancements Journal of Moeslim Research Technik Journal of Selvicoltura Asean Techno Agriculturae Studium of Research Research of Scientia Naturalis Journal of Social Entrepreneurship and Creative Technology Journal of Humanities Research Sustainability Scientechno: Journal of Science and Technology International Journal of Educational Narratives Rechtsnormen: Journal of Law
Li Wei
Tsinghua University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Physics Other

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The Post-Human Author: Deconstructing Narrative Identity And Creativity In Ai-Generated Literary Works Wirdatul Khasanah; Li Wei; Rustiyana Rustiyana
Journal of Humanities Research Sustainability Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v2i6.2652

Abstract

Background. The emergence of artificial intelligence as a creative agent has fundamentally disrupted the human-centered paradigm of authorship in literary production. Recent advances in generative models such as GPT and other neural language systems have blurred the boundaries between human intention, machine output, and narrative authenticity. Purpose. This study aims to deconstruct the notion of the “post-human author” by examining how AI-generated literary works redefine narrative identity, creativity, and the ontology of authorship. Employing a qualitative meta-analytical method combined with post-structuralist textual analysis, the research synthesizes existing literature and conducts interpretive readings of selected AI-generated texts. Through Derridean deconstruction and Foucault’s concept of the “author-function,” this study explores how algorithmic creativity challenges the metaphysics of originality and intentionality. Method. Employing a qualitative meta-analytical method combined with post-structuralist textual analysis, the research synthesizes existing literature and conducts interpretive readings of selected AI-generated texts. Through Derridean deconstruction and Foucault’s concept of the “author-function,” this study explores how algorithmic creativity challenges the metaphysics of originality and intentionality. Results. The findings reveal that AI-generated literature destabilizes the humanist framework of creative agency , producing hybrid narratives where authorship becomes distributed, contingent, and collaborative between human and machine. However, this post-human creativity also exposes ethical and philosophical tensions related to authorship, ownership, and meaning-making. Conclusion. The study concludes that literary creation in the age of AI demands a reconfiguration of aesthetic and epistemic assumptions about what it means to “create,” inviting a new hermeneutics of reading that acknowledges the co-agency of the artificial and the human.
AUTONOMOUS SYSTEMS IN INDUSTRY 5.0: ENHANCING HUMAN ROBOT COLLABORATION AND SAFETY IN INDONESIAN MANUFACTURING Lucas Lima; Tiago Costa; Li Wei; Rustiyana Rustiyana
Scientechno: Journal of Science and Technology Vol. 4 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i2.2890

Abstract

Industry 5.0 represents a fundamental shift toward a more human-centric paradigm in manufacturing by emphasizing enhanced collaboration between humans and robots, where autonomous systems are designed not only to optimize efficiency but also to improve safety and support workers in performing more complex and value-added tasks. In the Indonesian manufacturing context, the adoption of autonomous technologies is accelerating as industries seek to remain competitive; however, empirical evidence regarding their effectiveness in improving human-robot collaboration and workplace safety remains limited. This study addresses this gap by exploring the role of autonomous systems in Industry 5.0 and examining how integrated safety protocols and collaboration strategies can enhance both operational efficiency and occupational safety. Employing a mixed-methods approach, the research combines qualitative insights from interviews with industry experts and quantitative data derived from experimental implementations of autonomous robotic systems in Indonesian manufacturing environments. The findings demonstrate that the deployment of adaptive safety systems significantly strengthens human-robot collaboration, resulting in a 30% reduction in workplace accidents and a 20% increase in production efficiency. These results indicate that well-designed autonomous systems can effectively minimize risks while enabling workers to interact more confidently and productively with robots, thereby supporting the conclusion that Industry 5.0 technologies hold substantial potential for improving safety standards and overall performance in Indonesian manufacturing settings.
A SYSTEMIC AI AND CYBER-PHYSICAL FRAMEWORK FOR REAL TIME REMOTE PATIENT MONITORING IN INDONESIAN RURAL HEALTH CLINICS (PUSKESMAS) Ethan Tan; Ava Lee; Li Wei; Rustiyana Rustiyana
Scientechno: Journal of Science and Technology Vol. 4 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i2.2894

Abstract

Access to healthcare in rural Indonesia remains a significant challenge due to limited medical resources and healthcare personnel, leading to delayed diagnosis and suboptimal patient care. Remote patient monitoring offers a potential solution by enabling real-time health assessments and reducing the need for long-distance travel to healthcare facilities. This study aims to design and implement a systemic Artificial Intelligence and Cyber-Physical Systems framework for real-time remote patient monitoring in rural primary health clinics in Indonesia to enhance patient care, support early disease detection, and optimize healthcare resource allocation. The research employed a hybrid AI–CPS approach that integrated wearable health devices, Internet of Things sensors, and cloud computing infrastructure to continuously monitor patient vital signs. Artificial Intelligence algorithms were utilized to analyze health data and identify early signs of potential health anomalies. Data were collected from multiple rural Puskesmas where remote monitoring devices were installed, and system performance was evaluated using metrics including data accuracy, response time, and user satisfaction. The results indicated that the system achieved a high level of accuracy, with a 92 percent success rate in predicting potential health anomalies, while feedback from healthcare workers and patients demonstrated positive perceptions, particularly in terms of convenience, efficiency, and time savings. Overall, the findings confirm that the AI and Cyber-Physical Systems-based remote patient monitoring framework is effective in improving healthcare delivery in rural Indonesian clinics and holds strong potential as a scalable solution to enhance accessibility and quality of rural healthcare services.
QUANTUM COMPUTING APPLICATIONS IN SOLVING COMPLEX NONLINEAR EQUATIONS FOR ADVANCING COMPUTATIONAL FLUID DYNAMICS IN AEROSPACE ENGINEERING Joni Wilson Sitopu; Darwan Edyanto Saragih; Li Wei
Research of Scientia Naturalis Vol. 3 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i3.4237

Abstract

Increasing complexity in computational fluid dynamics (CFD) simulations demands faster, more accurate, and scalable approaches for solving highly nonlinear equations. Conventional high-performance computing remains effective in aerospace engineering but faces limitations in large-scale turbulence modeling, compressible flows, multiphysics interactions, and optimization requiring intensive iterations. This study evaluated the effectiveness of hybrid quantum-classical computing for solving complex nonlinear CFD equations and improving aerospace simulation performance. A mixed-methods sequential explanatory design involved 540 computational benchmark simulations and 240 experimental scenarios covering conventional solvers, hybrid quantum-classical optimization, and quantum-enhanced nonlinear solvers. Quantitative analyses used descriptive statistics, structural equation modeling, hierarchical regression, mediation, and moderation analysis, while qualitative evidence from expert interviews, computational observations, software evaluations, and document reviews underwent thematic analysis. Results showed that hybrid quantum-classical computing significantly improved convergence efficiency, numerical accuracy, turbulence prediction, scalability, residual error reduction, and simulation reliability. Hybrid optimization partially mediated the effect of quantum algorithms on computational efficiency, while mesh optimization strengthened convergence and engineering accuracy. These findings support integrating quantum computing with established CFD methods to enable faster optimization, stronger prediction, and scalable next-generation aerospace simulations.
Empirical Legal Research Methods: Applications in Legal Research in Indonesia Retno Widyani; Li Wei; Wang Jun
Rechtsnormen: Journal of Law Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v3i4.2095

Abstract

Background. Empirical legal research methods have gained increasing significance in legal scholarship, offering insights into the real-world application and outcomes of laws. In Indonesia, the use of these methods remains relatively underexplored despite the growing need for evidence-based policy and legal reforms. Legal research in Indonesia has traditionally relied on doctrinal methods, but empirical approaches have the potential to enhance the understanding of how legal systems function in practice and how laws impact society. Objective. This study aims to explore the applications of empirical legal research methods in legal research in Indonesia. The research focuses on examining how these methods can be effectively implemented in the context of Indonesian legal research to address pressing legal issues and improve the legal system's overall effectiveness. Method. A qualitative research design was employed, combining a review of existing literature, case studies, and interviews with legal scholars, practitioners, and policymakers. The study also analyzed existing empirical research on legal issues in Indonesia to identify current trends and gaps in research. Results. The findings suggest that empirical methods, such as surveys, interviews, and case studies, are increasingly being adopted in Indonesian legal research, though challenges remain in terms of resources, training, and institutional support. Conclusion. Empirical legal research holds significant potential for advancing legal scholarship in Indonesia. There is a need for greater integration of these methods to enhance the quality and relevance of legal research and inform legal reforms.
The Role of Law in Promoting Sustainable Finance and Green Investments in Emerging Markets Fatima Malik; Sara Hussain; Li Wei; Muh. Cendekiawan Ainul Haq
Rechtsnormen: Journal of Law Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v4i3.4195

Abstract

Background. Growing environmental challenges, climate-related financial risks, and increasing global commitments to sustainable development have intensified the importance of legal frameworks in directing capital toward environmentally responsible investments. Emerging markets face particular pressure to balance rapid economic growth with environmental sustainability while strengthening investor confidence, regulatory transparency, and institutional accountability. Purpose. This study aimed to evaluate the role of law in promoting sustainable finance and green investments in emerging markets by examining the relationships among legal quality, regulatory effectiveness, institutional governance, investor protection, and sustainable financial development. Method. A mixed-methods sequential explanatory design was employed using comparative data from 24 emerging market economies observed over a ten-year period. Quantitative analyses incorporated descriptive statistics, structural equation modeling, hierarchical regression, mediation and moderation analyses, while qualitative evidence from expert interviews, policy document reviews, and institutional observations was analyzed through thematic analysis. Results. Findings demonstrated that legal certainty significantly strengthened sustainable finance development, investor confidence, financial transparency, and green investment performance. Sustainable finance partially mediated the relationship between legal quality and investment outcomes, whereas institutional governance enhanced the effectiveness of regulatory implementation. Conclusion. Sustainable green investment depends upon the coordinated integration of legal certainty, regulatory quality, institutional governance, financial transparency, and environmental accountability, providing an evidence-based foundation for resilient financial systems and long-term sustainable economic development in emerging markets.
Narratives of Geography, Culture, and School Exclusion on the Indonesian Coast: Evidence from Kedabu Rapat, Meranti Islands Achmad Hidir; Rahman Malik; Li Wei; Robi Armilus; Yusuf Krisman Gea; Mardatillah Mardatillah
International Journal of Educational Narratives Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v4i3.3696

Abstract

Background. In coastal 3T regions, referring to remote, outermost, and disadvantaged areas, access to basic education is still not simple. The policy looks clear on paper, but village life is more complicated. Free tuition helps, yet distance, transport cost, family work, and local views about schooling still shape the decision of parents. Earlier studies have discussed these issues, but fewer have shown how distance and culture meet in everyday coastal families. Purpose. This research describes the social, cultural, economic, and geographical barriers that limit children's access to school and madrasah education in Kedabu Rapat Village, Kepulauan Meranti. Method. The research used a quantitative descriptive design. Data were collected from 48 farming and fishing households selected through simple random sampling from 96 households with school-aged children. The data were analyzed through frequencies and percentages. Results. Households with three to four school-aged children had the highest dropout proportion. In this group, 13 of 23 households, or 56.52%, reported children who no longer attended school. In the whole sample, 18 of 48 households, or 37.50%, reported dropout cases. Low parental motivation appeared in 33.34% of responses. The most common barrier was the combination of school distance and sociocultural belief, reported by 56.26% of respondents. Conclusion. Geographical isolation creates more than a travel problem. It also makes farming and fishing look more practical than schooling, especially when family income is uncertain and the road to school is not easy.
MICROSTRUCTURAL EVOLUTION AND TENSILE BEHAVIOR OF DISSIMILAR STEEL JOINTS UNDER MULTI-PASS WELDING Saripuddin M; Li Wei; Zhang Li
Scientechno: Journal of Science and Technology Vol. 5 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v5i2.4242

Abstract

Dissimilar steel joints are increasingly employed in demanding engineering structures, yet repeated thermal cycles during multi-pass welding can generate complex microstructural heterogeneity and localized mechanical-property gradients that affect structural integrity. This study investigates the relationship between cumulative welding thermal history, microstructural evolution, local property variation, and tensile fracture behavior in multi-pass dissimilar steel joints. An experimental laboratory design integrated controlled multi-pass welding, metallographic characterization, microhardness mapping, transverse tensile testing, fracture-location analysis, and fractographic examination to establish process–structure–property relationships. The results revealed pronounced microstructural and hardness variations across the weld metal, fusion boundaries, heat-affected zones, and base materials due to unequal thermal histories and repeated reheating. Tensile fracture occurred preferentially within or adjacent to mechanically heterogeneous transition regions rather than consistently within the weld centerline or maximum-hardness zone, demonstrating the critical influence of local strength–ductility mismatch and deformation compatibility. The study concludes that tensile performance cannot be adequately explained by average strength or peak hardness alone. An integrated pathway linking thermal history, microstructural evolution, property gradients, strain localization, and fracture behavior provides a stronger mechanistic framework for evaluating joint integrity and optimizing multi-pass welding procedures for reliable dissimilar steel structures under demanding industrial service conditions.
Co-Authors 105120100111001, RAHMAN MALIK Achmad Agus Salim Achmad Hidir Arfan Arfan Arteurt Yoseph Merung Ava Lee Darwan Edyanto Saragih Emily Johnson Ethan Tan Ethan Tan Faiz Muqorrir Kaaffah Fatima Malik Johannes Muller Joni Wilson Sitopu Liu Yang Lucas Lima Mardatillah Mardatillah Marten Mahadjani Muh. Cendekiawan Ainul Haq Nilam Atsirina Krisnaputri Nurhayati Nurhayati Nurlatipah Nurlatipah Patiung, Obed Rachel Chan Retno Widyani Robi Armilus Rustiyana, Rustiyana Sara Hussain Saripuddin M Tiago Costa Wang Jun Wirdatul Khasanah Yui Nakamura Yusuf Krisman Gea Zhang Li Zhou Hui