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All Journal Jurnal Mantik Tematik : Jurnal Teknologi Informasi Komunikasi Al-Hijr: Journal of Adulearn World Computing Jurnal Informatika Journal Research of Social Science, Economics, and Management Kinanti : Jurnal Karya Insan Pendidikan Terpilih Journal of Humanities Research Sustainability Maneggio Technologia Journal Journal of Pedagogi
Rustiyana, Rustiyana
Universitas Bale Bandung
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Other

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The Post-Human Author: Deconstructing Narrative Identity And Creativity In Ai-Generated Literary Works Khasanah, Wirdatul; Wei, Li; 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.
Human-Tech Symbiosis: Collaboration between Managers and AI Systems in Strategic Decision Making Eliagus Telaumbanua; Sauca Ananda Pranidana; Rustiyana Rustiyana
Maneggio Vol. 2 No. 6 (2025): DECEMBER-MJ
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/sw62xg16

Abstract

Digital transformation has shifted the paradigm of strategic decision-making from intuition-based judgment toward a collaborative model that integrates human intelligence with artificial intelligence (AI). AI serves as an analytical engine that processes large-scale data and generates predictive recommendations, while managers retain interpretive authority regarding organizational context, strategic intent, and ethical implications. This study aims to explore how collaboration between managers and AI systems forms human–tech symbiosis in strategic decision-making. A qualitative method with thematic literature analysis was applied following the interpretive framework of Creswell and Poth (2018). Findings reveal that AI enhances decision effectiveness by improving analytical accuracy, speeding information processing, and reducing cognitive bias; however, these benefits become optimal only when accompanied by managerial trust, algorithmic transparency, and human control over final decision outcomes. The study confirms that the most effective strategic decisions emerge not from the dominance of either AI or human intuition but from the symbiotic combination of computational reasoning and human strategic reflection. It concludes that organizations must develop human–AI capability simultaneously, rather than merely adopting AI systems, to achieve more adaptive, accurate, and sustainable strategic decision-making.
Analysis of the Utilization of Augmented Reality (AR) Technology in Interactive Science Learning in Schools Rustiyana Rustiyana
Technologia Journal Vol. 2 No. 3 (2025): Technologia Journal-August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/vwq2jc74

Abstract

This study aims to analyze the use of Augmented Reality (AR) technology to support interactive science learning in schools. The research method used is a qualitative approach with a case study design, involving direct classroom observation, in-depth interviews with teachers and students, and documentation of learning activities. The results show that the use of AR can increase students' interest in learning and understanding of abstract concepts in science. AR also encourages more interactive and participatory learning. The role of teachers shifts to that of facilitators who need to master technological tools and design innovative learning strategies. However, the implementation of AR in schools still faces obstacles such as limited infrastructure and educators' digital competencies. These findings provide important insights into the potential and challenges of AR integration in education, and serve as a basis for policy development and teacher training to encourage digital transformation in science learning.
Blockchain-Based Digital Transformation in Government Administration System Rustiyana Rustiyana
Technologia Journal Vol. 2 No. 3 (2025): Technologia Journal-August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/eyrmb910

Abstract

Digital transformation in government administration systems is key to increasing transparency, efficiency, and accountability in public services. The implementation of blockchain technology offers an innovative solution by providing secure, decentralized, and immutable transaction records. This study aims to analyze the role of blockchain in strengthening government administration processes and evaluate its impact on operational performance and public trust. The research method used is a comprehensive literature review and case analysis of blockchain implementation in several local governments and public institutions. The results show that blockchain integration can reduce bureaucracy, improve data security, and promote transparency, but requires the readiness of digital infrastructure and supporting regulations. These findings provide guidance for policymakers and IT practitioners in developing blockchain-based digital transformation strategies in the public sector.
Towards a Sustainable Smart City: The Role of Big Data and Internet of Things (IoT) in Urban Governance Rustiyana Rustiyana
Technologia Journal Vol. 2 No. 3 (2025): Technologia Journal-August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/epkp1k05

Abstract

The rapid growth of urban populations demands smarter, more efficient, and sustainable city governance. This study aims to analyze the role of Big Data and the Internet of Things (IoT) in supporting urban governance toward a sustainable smart city, with a focus on their contributions to environmental, economic, and social sustainability. The research employed an exploratory-descriptive qualitative method through in-depth interviews, community surveys, field observations, as well as secondary data analysis from official reports and academic publications. Qualitative data were analyzed using thematic analysis, while quantitative data were processed with descriptive and inferential statistics. The findings reveal that the integration of Big Data and IoT enhances the effectiveness of city government decision-making through real-time data and predictive analytics. The application of these technologies contributes to emission reduction, energy efficiency, transportation optimization, increased citizen participation, and operational cost savings. However, implementation still faces obstacles such as limited network infrastructure, digital literacy gaps, high maintenance costs of devices, as well as data security and privacy issues. This study recommends strengthening regulations, fostering government–private sector collaboration, and implementing public education programs to expand technology adoption. These findings highlight that the success of a sustainable smart city requires synergy between technological innovation, inclusive policies, and active community engagement.
CHATGPT AND VIRTUAL TEACHING ASSISTANTS: ENHANCING TEACHER-STUDENT INTERACTIONS IN THE DIGITAL CLASSROOM Rustiyana, Rustiyana; Jihoon, Park; Thomsen, Charlotte
Al-Hijr: Journal of Adulearn World Vol. 5 No. 1 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v5i1.1213

Abstract

The rapid adoption of digital technologies in education has prompted the exploration of innovative tools to enhance teacher-student interactions in virtual classrooms. Among these tools, AI-powered virtual teaching assistants, such as ChatGPT, have emerged as promising solutions to address challenges related to engagement, feedback, and personalized learning. However, despite their growing presence, the specific role of ChatGPT in improving interactions within digital classrooms remains underexplored. This study aims to investigate the impact of ChatGPT on teacher-student interactions, focusing on its ability to enhance engagement, provide personalized feedback, and support administrative tasks. A mixed-methods approach was employed, combining surveys, interviews, and usage logs from 30 teachers and 150 students across high school and university settings. The results indicate a significant improvement in engagement and feedback quality, with both teachers and students reporting increased satisfaction and interaction efficiency. Additionally, ChatGPT’s role in managing routine administrative tasks was found to alleviate teacher workload. The study concludes that ChatGPT can effectively complement traditional teaching methods by facilitating more interactive, personalized, and efficient learning experiences in digital classrooms. Future research should explore the long-term effects of AI tools on education and address ethical considerations such as data privacy and algorithmic bias.
The Integration of Artificial Intelligence in Indonesian Language Learning: Pedagogical Opportunities and Risks Safar, Muh.; Rustiyana, Rustiyana
Journal of Pedagogi Vol. 2 No. 6 (2025): Journal of Pedagogi-December
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/30c69d53

Abstract

The rapid development of artificial intelligence (AI) has significantly transformed educational practices, including Indonesian language learning. AI offers various pedagogical opportunities such as personalized learning, enhanced literacy skills, and continuous feedback, while simultaneously posing risks that may undermine the core values of language pedagogy. This study aims to critically analyze the pedagogical opportunities and risks of AI integration in Indonesian language learning. A Systematic Literature Review (SLR) was conducted following PRISMA guidelines, drawing on reputable scholarly articles related to AI, language pedagogy, and education within the Indonesian context. The findings indicate that AI can enrich Indonesian language learning when positioned as a supportive tool within a reflective pedagogical framework. However, risks such as students’ cognitive dependency, decline in authentic language production, digital literacy gaps, and linguistic and cultural biases must be carefully addressed. This study concludes that the effectiveness of AI integration largely depends on teachers’ pedagogical competence, critical instructional approaches, and institutional policies governing AI use. The results provide a conceptual foundation for developing responsible AI-based practices and policies in Indonesian language education.
Co-Authors Achmad Sanusi ARIEF BUDI PRATOMO Asep Didik Setia Permana COMPUTING INFORMATIKA Dadan Herdiansah Daeng Arifin Diana Salendra Eliagus Telaumbanua INFORMATIKA, COMPUTING Jihoon, Park Khasanah, Wirdatul Khilda Nistrina Kusnadi Li Wei Mammadov, Elchin Mokoena, Thabo Muh. Safar, Muh. N Dede Khoeriah Novianti Indah Putri Puja Permana, Ridwan Rosmalina ROSMALINA ROSMALINA, ROSMALINA Sandhy Dwi A Sauca Ananda Pranidana Shela Tansyah, Lorenza Sri Rahayu, Nenden Suharya, Yaya Sukiman Thomsen, Charlotte Yudi Herdiana Yusuf Muharam Zen Munawar