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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Technomedia Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) ADI Journal on Recent Innovation (AJRI) PREPOTIF : Jurnal Kesehatan Masyarakat CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Enrichment : Journal of Management Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Manajemen Retail Indonesia (JMARI) Transekonomika : Akuntansi, Bisnis dan Keuangan Journal of Economics and Management Scienties International Transactions on Education Technology (ITEE) International Transactions on Artificial Intelligence (ITALIC)
Sunarjo, Richard Andre
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Mapping Designpreneur Paradigm for Sustainability Housing of Ministerial in Nusantara Capital City (IKN) Purnama, Ika Yuni; Phetorant, DJ. Dimas; Mestika, Gelar Gelora; Sunarjo, Richard Andre; Radhika, Raka Daniswara
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 3 (2025): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i3.691

Abstract

Designpreneurs (a combination of design and entrepreneurs) have gained attention as an innovation paradigm that integrates design creativity with business value, playing a significant role in driving innovation and sustainable value creation. As the national creative economy and the IKN smart design agenda develop, it is important to evaluate research trends related to this concept. This study aims to map designpreneurship literature through bibliometric analysis, identifying publication trends, dominant themes, and key actors in this field. Data were taken from the Dimensions database (2000–2025), covering 45 articles, analyzed using VOSviewer to reveal collaboration patterns (country, institution, author) and keywords. The publication trend has increased sharply since 2016, reaching 10 articles in 2024. Indonesia has emerged as a major hub with strong collaborations with Malaysia, Japan, and China. The Bandung Institute of Technology was identified as the most productive institution. The journals Design, Economics and Innovation, Review of Managerial Science, and Journal of the Knowledge Economy are at the forefront of publications. Dominant research themes include the integration of design thinking, business innovation, and sustainability, indicating a focus on sustainable design innovation. This study presents a comprehensive mapping of designpreneurship literature, strengthening the concept of design and entrepreneurship synergy in creative innovation. These findings are relevant to the design strategy of ministerial position houses in the IKN based on local wisdom and sustainability.
AI-Driven Educational Data Analytics and Intelligent Tutoring in Learning Factory Environments Sunarya, Po Abas; Sunarjo, Richard Andre; Abbas, Maulana; Al-Kamari, Omar Arif; Maulana, Sabda
International Transactions on Education Technology (ITEE) Vol. 4 No. 1 (2025): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v4i1.950

Abstract

The rapid growth of artificial intelligence in higher education creates new op- portunities to make learning factory environments more adaptive, data-informed, and aligned with industrial practice. This study examines how the integration of educational data analytics and intelligent tutoring systems supports smarter learning factory models that connect theoretical instruction with hands-on indus- trial training. Using a quantitative research design, data were collected from 180 higher education students participating in AI-supported learning factory sessions. Log data on learning interactions, performance metrics, and system- generated feedback were analyzed using statistical modeling to test the effects of AI-driven interventions on learning outcomes. The results show that ed- ucational data analytics significantly increases the adaptability of instructional content, enabling the intelligent tutoring system to personalize learning paths in real time based on individual performance profiles. Students who engaged with AI-based tutoring reported higher learning engagement and achieved better problem-solving scores and stronger retention of practical concepts than those in conventional learning factory settings. These findings indicate that combining educational data analytics with intelligent tutoring systems improves both the efficiency and effectiveness of learning factory models by enabling continuous feedback loops, dynamic adjustment of learning tasks, and learner-centered in- struction. The study concludes that AI-driven, data-informed learning factories can play a strategic role in preparing students with industry-relevant compe- tences and offers practical implications for educational technologists and insti- tutions designing next-generation education technology solutions.
AI Enabled Cybersecurity Framework for Multi Cloud Business Environments Sunarjo, Richard Andre; Arif Andika; Ninda Lutfiani; Richard Evans
ADI Journal on Recent Innovation Vol. 7 No. 1 (2025): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i1.1312

Abstract

AI Governance for Sustainable Tech Adoption and Carbon Reduction in Smart Industries Purnama, Suryari; Sunarjo, Richard Andre; Hardini, Marviola; Parker, Jonathan
ADI Journal on Recent Innovation (AJRI) Vol. 7 No. 2 (2026): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i2.1387

Abstract

Rapid advancements in Artificial Intelligence (AI) and sustainable technologies are transforming smart industries, yet many organizations still struggle to establish governance mechanisms that ensure responsible adoption while contributing to carbon-reduction objectives. This study aims to examine how AI governance frameworks support sustainable technology adoption and promote carbon reduction across smart industrial environments. Using a mixed-methods research design, the study integrates a systematic literature review, expert interviews, and quantitative assessment of governance maturity to explore the relationship between governance structures, sustainability practices, and emission reduction outcomes. The empirical data were collected through semi-structured expert interviews and a structured survey involving 150 professionals from manufacturing, logistics, and energy sectors, representing managerial, technical, and governance roles within smart industry environments. The findings reveal that AI governance significantly enhances the effectiveness of sustainable technology deployment, particularly through standardized accountability mechanisms, transparent decision-making models, and proactive risk-management protocols. Organizations with higher governance maturity not only adopt sustainable technologies more efficiently but also demonstrate measurable decreases in operational carbon intensity. These results suggest that robust AI governance serves as a critical enabler for sustainable industrial transformation, ensuring that AI driven innovations align with environmental objectives and long-term strategic value. The study concludes that strengthening AI governance frameworks can accelerate responsible technology integration in smart industries, offering practical pathways for carbon reduction and sustainable competitiveness. Future research is encouraged to investigate cross-industry implementation models and develop governance metrics that better capture environmental impacts in evolving digital ecosystems.
Co-Authors Abbas, Maulana Al-Kamari, Omar Arif Alwiyah Alwiyah Anjani, Sheila Aulia Apriliasari, Dwi Aprillia, Ariesya Ardi Ardi Ardi Arif Andika Awhina, Ridan Ahsani Te Baedowi, Hikmal Bist, Ankur Singh Catherin, Febrina Claudia Chandra Kuswoyo Delila Delima, Eva Lisna Dwi Andayani, Dwi Fitriani, Gaby Gelar Gelora Mestika Gulo, Nitema Ilham, Muhammad Ghifari Irma Shantilawati Khairunnisa, Novita Khanza, Aulia Kristiawan, Allen Mailangkay, Merry Mersia Gristie Marviola Hardini Maulana, Sabda Meria, Lista Mochamad Heru Riza Chakim Moyo, Kgomotso Muhammad Yusup Muthohharoh, Viera Dzakiyyah Naurah, Syahla Ninda Lutfiani Novitasari, Dewiana Palupi Meilani, Yohana F. Cahya Pandia, Nadia Erlikasna B. R. Parker, Jonathan Partogi, Chris Periyanto, Toni Phetorant, DJ. Dimas Po Abas Sunarya Pujiati, Tri Purba, Stefanus Raditya Purnama, Ika Yuni Qurotul Aini Radhika, Raka Daniswara Rakhmansyah, Mohamad Richard Evans Riskhandini, Dinda Putri Robert, Dariari Rozi, Achmad Rufi'i Saskia Putri, Raditya Sasono, Ipang Shepard, Anjani Somadinata, Nurul Irba Suri, Oryza Intan Surya Wuisan, Dewi Sri Suryari Purnama Teresia, Monika Toh Hua, Chua Untung Rahardja Wandanaya, Anita Bawaiqki Wuisan, Dewi