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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 98 Documents
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Maximizing Healthcare Service Information System: Understanding the Influence of Integration on Efficiency Kuswari, Mury; Gantino, Rilla; Maratis, Jerry
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1145

Abstract

The increasing complexity of healthcare systems, rising service demand, and the importance of information technology in enhancing accessibility and service quality highlight the need for effective solutions. This study aims to explore how the integration of information systems in healthcare services can influence operational efficiency. The research involves comprehensive analysis of relevant literature, case studies, and interviews with experts in the healthcare industry. The findings reveal that integrated healthcare information systems improved operational efficiency by 35%, reduced data duplication by 25, and decreased patient wait times by an average of 40. The study also examines how integration optimizes administrative processes, patient data management, and coordination among service units. The integration of healthcare information systems in healthcare services offers significant benefits in enhancing operational efficiency, improving patient experiences, and raising overall service quality. Therefore, prioritizing investment and development in integrated information systems is critical to improving healthcare system performance.
Integrating Blockchain and AI in Business Operations to Enhance Transparency and Efficiency within Decentralized Ecosystems Rakhmansyah, Mohamad; Hadi, Muhammad Saiful; Junaedi, Sausan Raihana Putri; Ramahdan, Fikri Arsla; Putra, Souza Nurafrianto Windiartono
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1177

Abstract

This study explores the integration of Blockchain and Artificial Intelligence (AI) technologies in business operations, aiming to enhance transparency and operational efficiency within decentralized ecosystems. Blockchain offers so- lutions to trust issues in business systems through its secure and transparent characteristics, while AI plays a pivotal role in data analysis and automating decision-making. This study uses a qualitative research approach, incorporat- ing case studies and expert interviews to examine the potential and challenges of applying these technologies. The results show that integrating Blockchain and AI accelerates business processes, reduces operational costs, and fosters trust among stakeholders in decentralized ecosystems. However, challenges such as technology adoption, scalability, and initial implementation costs remain signif- icant barriers. This research contributes to the development of more efficient and transparent operational strategies through the application of advanced tech- nologies, and provides a foundation for future research on the impact of these technologies in global business sectors.
Developing Sustainable Technology through Ethical AI Governance Models in Business Environments Henderi; Aini, Qurotul; Purwanti, Purwanti; Muti, Rifqa Nabila; Fletcher, Eamon
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1179

Abstract

The rapid adoption of Artificial Intelligence (AI) in business offers transfor- mative opportunities but introduces ethical challenges requiring robust gover- nance models. This study investigates the development of ethical AI gover- nance frameworks to align technology adoption with societal values and sus- tainability goals. Through a mixed-methods approach, qualitative interviews with industry experts and quantitative case study analyses are conducted to ex- plore best practices and key challenges. Findings emphasize the necessity of transparency, stakeholder engagement, and regulatory compliance in fostering trust and accountability within AI-driven processes. The research concludes by proposing a comprehensive governance model that integrates ethical princi- ples with innovation, offering practical solutions for businesses to sustainably leverage AI while mitigating risks and enhancing societal benefits. This study contributes to the growing discourse on sustainable technology and responsible AI deployment in business environments.
Revolutionizing Financial Services with Big Data and Fintech: A Scalable Approach to Innovation Rahardja, Untung; Miftah, Mohammad; Rakhmansyah, Mohamad; Zanubiya, Jihan
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1180

Abstract

Implementations of Blended Learning from the Al-Qur’an Perspective Suhada, Suhada; Arief, Armai; Sarnoto, Ahmad Zain
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1187

Abstract

Blended learning is a relevant learning model to answer the challenges of the 21st century, where technology and the internet play an important role. However, the implementation of blended learning in higher education still faces obstacles in adjusting modern educational values with spiritual values. This study aims to analyze blended learning from the perspective of the Qur'an, with a case study at University of Raharja, Tangerang City. The main challenges raised is how blended learning can be integrated with the values of the Qur'an to create holistic learning. The research method uses a descriptive qualitative approach of the Miles and Huberman model to systematically describe data from various references. In addition, the thematic interpretation method (tafsîr maudhû’î) is used to analyze relevant verses of the Qur'an. The results of the study indicate that blended learning is in accordance with the learning values in the Qur'an, as reflected in the stories of the prophets and verses about learning from the universe. This model has proven to be flexible, efficient, and effective, as supported by Curtis J. Bonk, Simon Krisztián, and Erica Lynn Kolat. This study also found that blended learning can be a relevant learning solution in the digital era if implemented by considering spiritual aspects. The conclusion of the study is that blended learning not only supports modern learning, but also has a strong foundation in the values of the Qur'an. This makes an important contribution to the development of higher education in Indonesia.
Cybersecurity Risk Assessment Framework for Blockchain-Based Financial Technology Applications Dinarwati, Dini; Ilham, Muhammad Ghifari; Rahardja, Fransisca
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1197

Abstract

The integration of blockchain technology into financial technology (fintech) applications has transformed the financial industry by offering enhanced transparency, efficiency, and trust. However, this integration also introduces complex cybersecurity challenges that could jeopardize data integrity, operational reliability, and user trust. To address these issues, this study aims to develop a Cybersecurity Risk Assessment Framework tailored specifically for blockchain based fintech applications. Using a mixed methods approach, the study com- bines qualitative insights from expert interviews with quantitative risk analysis techniques, including Failure Mode and Effects Analysis (FMEA). This method facilitates the identification and evaluation of critical threats such as smart contract vulnerabilities, consensus mechanism attacks, and unauthorized access to sensitive data. The proposed framework is validated through case studies of existing blockchain-based fintech platforms to assess its practicality and robustness. Results show that the framework effectively identifies and mitigates potential risks, thereby improving system security and operational resilience. This research bridges the gap between theoretical cybersecurity principles and practical fintech applications, providing actionable strategies for industry practitioners and policymakers. The study concludes that adopting the framework enhances the security posture of blockchain-based fintech ecosystems, enabling innovation while safeguarding against evolving cybersecurity threats.
Optimizing Stock Accuracy with AI and Blockchain for Better Inventory Management Putra, Fengki Eka; Khasanah, Miftakhul; Anwar, Muhammad Rehan
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1200

Abstract

The optimization of stock Opname accuracy is crucial for effective inventory management and improved sales outcomes. Traditional inventory management systems often struggle with accuracy due to manual processes and lack of real time data, leading to inefficiencies and sales losses. This study examines the impact of integrating AI and Blockchain technology to enhance stock Opname accuracy, optimize inventory management, and improve sales performance in business operations. A quantitative research approach was employed, utiliz- ing AI algorithms for predictive analytics and Blockchain for secure, transpar- ent recordkeeping. The results indicate a 30% improvement in stock Opname accuracy, a 60% reduction in inventory discrepancies, and a 50% decrease in reconciliation time. Additionally, businesses implementing AI and Blockchain experienced a 15% increase in sales performance and a 67% reduction in stock- out issues. These findings highlight that the combination of AI and Blockchain significantly reduces human error, enhances real time tracking, and provides tamper proof records, leading to more efficient inventory management and in- creased sales outcomes. This study contributes to the field by providing empirical evidence on the effectiveness of AI and Blockchain in inventory manage- ment, offering a framework for businesses seeking to improve stock Opname accuracy and optimize operational efficiency. The integration of these technologies presents a promising solution for modern inventory management, enabling businesses to respond to demand fluctuations with greater precision.
The Role of Big Data and Blockchain in Enabling Transparent and Sustainable Business Processes Amroni, Amroni; Darmawan, Afif Aditya; Pangilinan, Greian April
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1202

Abstract

The integration of Big Data and Blockchain technologies is increasingly vital for businesses aiming to foster transparent and sustainable processes in response to global demands for socially and environmentally responsible practices. However, research on how these technologies work together is still limited. This study, using the Business Oriented Management Research Cycle (BOMRC), investigates how Big Data and Blockchain can synergistically promote transparent and sustainable business practices. The research includes a literature review, case study analysis, and application of findings to practical business scenarios. The findings reveal that Blockchain enhances transparency and traceability through a decentralized, secure system, while Big Data provides real time data processing to optimize operational efficiency and reduce environmental impact. By leveraging the synergy between these technologies, businesses can improve sustainability and maximize performance. Despite these advantages, high implementation costs and technological challenges remain significant barriers. This study contributes to understanding how Big Data and Blockchain can work together to promote sustainability, providing insights for overcoming barriers to their adoption. Future studies should explore sector specific applications to further advance these technologies.
Designing Ethical AI Systems for Sustainable Technology Development Zainol, Zuraidah; Brotosaputro, Goenawan; Chen, Shih Chih; Natasya, Ersa Aura
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1205

Abstract

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

Page 9 of 10 | Total Record : 98

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