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All Journal Aptisi Transactions on Technopreneurship (ATT) ADI Journal on Recent Innovation (AJRI) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi International Transactions on Artificial Intelligence (ITALIC)
Parker, Jonathan
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Penerapan Teknologi Blockchain untuk Memperkuat Privasi dan Keaslian Data Akademik di Perguruan Tinggi Aurora, Cindy; Henry, Henry; Handra, Tessa; Sutisna, Felix; Parker, Jonathan
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 1 (2025): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i1.912

Abstract

The increasing demand for data integrity and confidentiality in higher education has driven institutions to explore innovative solutions to secure academic records. Traditional database systems often fail to ensure authenticity and protect sensitive information from unauthorized access or manipulation. This study investigates how blockchain technology can enhance privacy and authenticity in university record management. The research uses a descriptive qualitative method with a multiple case study approach. Data were collected through interviews and documentation analysis at selected Indonesian universities piloting blockchain-based systems. The analysis focuses on how blockchain’s decentralized and immutable features support secure data storage, verifiable credentials, and transparent access logs. The findings reveal that blockchain implementation significantly improves trust in academic data by reducing the risk of falsification and enabling real-time validation of records. Moreover, blockchain fosters institutional accountability and streamlines verification processes for both internal and external stakeholders. However, challenges such as integration with legacy systems, technical readiness, and regulatory alignment remain prominent. The study concludes that blockchain offers a promising framework for data-driven management in higher education, particularly in reinforcing the credibility and confidentiality of academic information. The results provide practical insights for policymakers and university leaders seeking to modernize their digital in frastructure while safeguarding the integrity of institutional records.
Reinforcing the Role of Cyber Village in Improving Indonesia MSMEs Through an Exploratory Study Anindita, Rina; Prastowo, Valentinus Hartadi; Parker, Jonathan
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.v7i3.401

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in Indonesia, especially those offering culturally unique products, face challenges in sustaining and growing their businesses. Digital marketing, particularly through social media, presents an opportunity to foster the development of these enterprises. However, the adoption of digital marketing by MSMEs in Kampoeng Cyber Jogja remains underexplored. This qualitative research aims to assess the extent of digital marketing adoption among MSMEs in Kampoeng Cyber Jogja and identify the factors that support or hinder its use. Data were collected through in-depth interviews with Kampoeng Cyber pioneers, MSME actors, the Head of RW09, and a digital marketing expert. The findings show that MSMEs in Kampoeng Cyber Jogja use social media for advertising, sharing product information, customer engagement, and selling products. Supporting factors include high-quality products and strong entrepreneurial motivation, while hindering factors include limited knowledge, slow adaptation to technology, resource constraints, and disorganized bookkeeping. This study suggests that MSMEs in Kampoeng Cyber Jogja need to set more explicit business goals to fully leverage digital marketing for scaling their businesses. Further research is needed to explore the long-term implications of digital marketing adoption and its impact on MSME sustainability and growth.
SWOT Analysis of AI-Based Learning Recommendation Systems for Student Engagement Nuraeni, Rani; Hardini, Marviola; Parker, Jonathan; Ilham, Muhammad Ghifari
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.894

Abstract

This study presents a SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) of AI-based learning recommendation systems for students. These innovative systems hold significant potential in supporting Sustainable Development Goal (SDG) 4 Quality Education by personalizing learning pathways, enhancing access to resources, and boosting student engagement. Their primary strengths include increased learning efficiency, adaptive content delivery, and instant feedback mechanisms. Nevertheless, weaknesses such as potential algorithmic bias, data privacy concerns, and over reliance on technology warrant careful consideration. Emerging opportunities encompass expanding educational access for underserved populations, facilitating lifelong learning, and integrating diverse educational platforms. However, threats like the digital divide and the need for robust ethical guidelines must be addressed to ensure equitable access. This analysis underscores the necessity of a balanced approach in developing and deploying these AI systems, maximizing their educational benefits while mitigating risks to achieve more inclusive and equitable quality education for all. Quantitatively, the synthesis of reviewed studies reveals that adaptive AI-based recommendation systems improve student engagement by up to 18% and content relevancy by approximately 22% compared to conventional systems. Moreover, the SWOT analysis indicates that the strength to threat ratio (S/T) exceeds 2.1, implying that institutional readiness and technological innovation significantly outweigh identified implementation risks. These findings confirm the robust potential of AI-LRS in higher education.
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 Aurora, Cindy Handra, Tessa Henry, Henry Ilham, Muhammad Ghifari Marviola Hardini NURAENI, RANI Prastowo, Valentinus Hartadi Rina Anindita Sunarjo, Richard Andre Suryari Purnama Sutisna, Felix