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ADI Journal on Recent Innovation (AJRI)
Published by Pandawan Sejahtera Indonesia
ISSN : 26859106     EISSN : 26860384     DOI : doi.org/10.34306/ajri
Core Subject : Religion, Science, Education, Engineering,
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Industrial & Manufacturing Engineering
AJRI is a reputable Scientific Publication Media aim to foster research finding that concentrate towards recent innovation and creativity to support advancement in global civilization and humanity. AJRI Journal published two times a year (March & September) by Asosiasi Dosen Indonesia (ADI) Publisher. AJRI Journal invites all manuscripts on Multidisciplinary topics.
Arjuna Subject : Umum - Umum
Articles 114 Documents
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Optimizing Search Engine Optimization Strategies to Increase Visibility and Author Awareness in Scientific Journals Ninda Lutfiani; Adam Faturahman; Ramzi Zainum Ikhsan; Harry Agustian; Gelard Godwin
ADI Journal on Recent Innovation (AJRI) Vol. 8 No. 1 (2026): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v8i1.1527

Abstract

This study aims to analyze the optimization of Search Engine Optimization (SEO) strategies to increase journal visibility and author awareness in Technomedia Journal. In the era of digital publication, scientific journals are not only required to publish quality articles but also to be easily found through search engines and academic platforms. This study employed a quantitative approach by distributing questionnaires to 101 respondents, including authors, researchers, academics, and journal users familiar with Technomedia Journal. The data were analyzed using the Structural Equation Modeling (SEM-PLS) method with the help of SmartPLS software. The research model consists of SEO, Paper Quality (PQ), Open Journal Systems (OJS), and indexing and digital presence as independent variables, journal visibility as an intervening variable, and author awareness as a dependent variable. The results showed that indexing and digital presence have the strongest influence on journal visibility with a path coefficient value of 0.641. In addition, journal visibility also has a strong positive effect on author awareness with a path coefficient value of 0.670. The R-square value for journal visibility is 0.804, which means that 80.4% of the variation in journal visibility can be explained by the independent variables. Meanwhile, the R-square value for author awareness is 0.704, which means that 70.4% of the variation can be explained by journal visibility and SEO. These findings indicate that strengthening indexing, digital presence, article PQ, OJS management, and SEO strategies in an integrated manner can increase journal visibility and author awareness of Technomedia Journal.
Digital Transformation of Electronic Archive Management for Improving Business Operational Efficiency Sayyid Jamal Al Din; Aji Nurrohman; Dhian Yusuf Al Afghani; Teguh Muryanto; Ahmad Fakhri
ADI Journal on Recent Innovation (AJRI) Vol. 8 No. 1 (2026): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v8i1.1544

Abstract

The rapid development of digital technology has encouraged organizations to transform conventional document management into electronic systems to improve efficiency, accessibility, and information management. In the Collection Division of PT Hakaru Metalindo Perkasa, archive management was still conducted manually, resulting in inefficiencies in archive recording, storage, retrieval, time, and maintenance costs. This study aims to develop a web based electronic archive management system to support more efficient and effective archive management and facilitate digital transformation in business operations. This study employed a system development approach using the prototyping method, consisting of communication, planning, modeling, construction, and delivery stages. Data were collected through interviews and observations to identify user requirements and existing archive management problems. The pro- posed system was developed using the CodeIgniter framework and supported by a database for structured archive management. System functionality was evaluated using black box testing. The developed system provides several functions, including archive data entry, classification, archive location management, archive circulation, user management, and archive data access. The black box testing results indicate that all tested functions operated successfully according to user requirements. The web based electronic archive management system can support the digital transformation of archive management by improving the efficiency, accessibility, and organization of archive related business operations.
Developing a Green AI Governance Framework for Sustainable Digital Business Transformation Syahyono Syahyono; Rifqi Fahrudin; Tiurida Lily Anita; Nyree Ani
ADI Journal on Recent Innovation (AJRI) Vol. 8 No. 1 (2026): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v8i1.1581

Abstract

Amid the rapid growth of Artificial Intelligence (AI) adoption in business environments, concerns regarding energy consumption, carbon emissions, ethical accountability, and sustainable governance have become increasingly significant, creating the need for frameworks that align AI deployment with sustainability objectives and digital transformation strategies. This study aims to develop a green AI governance framework that supports sustainable digital business transformation by integrating environmental, governance, and technological considerations into AI implementation practices. Using a Systematic Literature Review (SLR), relevant studies published between 2020 and 2025 were identified, screened, and analyzed to synthesize key themes, governance dimensions, and sustainability principles associated with green AI adoption in organizational contexts. The findings reveal that effective green AI governance is shaped by four interconnected dimensions including environmental sustainability, ethical and regulatory compliance, operational efficiency, and stakeholder accountability. Based on these findings, a conceptual framework is proposed that links AI lifecycle management, governance mechanisms, sustainability metrics, and business transformation outcomes to promote responsible and resource efficient AI deployment. The study concludes that organizations can enhance the sustainability and long term value of digital transformation initiatives by adopting a structured green AI governance approach that balances innovation, transparency, and environmental responsibility. The proposed framework contributes to both academic literature and managerial practice by offering strategic guidance for implementing sustainable AI systems while supporting organizational competitiveness and broader Sustainable Development Goals (SDGs).
Blockchain AI Synergy for Digital Business Innovation and Operational Intelligence Fransisca Angelica Rahardja; Rahul Bhandari
ADI Journal on Recent Innovation (AJRI) Vol. 8 No. 1 (2026): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v8i1.1617

Abstract

The rapid development of digital technologies has increased the need for innovative solutions that improve business efficiency, security, transparency, and decision making. Blockchain and Artificial Intelligence (AI) offer complementary capabilities that can address these needs, yet their integration in business operations remains insufficiently explored. This study aims to examine how blockchain and AI synergy contributes to digital business innovation and operational intelligence. A Systematic Literature Review (SLR) was conducted by analyzing relevant studies on blockchain, AI, digital business innovation, and operational intelligence. The findings indicate that their integration can enable trusted data sharing, intelligent decision making, predictive analytics, process automation, and enhanced operational transparency. Blockchain strengthens data integrity, security, and trust, while AI processes reliable data to generate actionable insights and support more accurate business decisions. The integration also provides opportunities to improve operational responsiveness, reduce inefficiencies, and develop data driven business processes. The study concludes that blockchain and AI synergy represents an innovative approach to developing secure, intelligent, transparent, and adaptive business operations. This technological integration can strengthen organizational capabilities and support effective digital transformation in an increasingly competitive and data driven business environment.

Page 12 of 12 | Total Record : 114

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