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All Journal ADI Journal on Recent Innovation (AJRI) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) International Transactions on Artificial Intelligence (ITALIC)
Ilham, Muhammad Ghifari
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Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Library & Information Science

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Digitalization of Business and Marketing Strategies to Increase Brand Awareness in the 4.0 Era: Strategi Digitalisasi Bisnis dan Pemasaran untuk Meningkatkan Brand Awareness di Era 4.0 Sunarjo, Richard Andre; Baedowi, Hikmal; Rahardja, Untung; Ilham, Muhammad Ghifari; Parker, Jonathan
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1240

Abstract

The Industry 4.0 era marks a fundamental transformation in how businesses operate, with digitalization as a key catalyst in reshaping marketing strategies and branding. This study aims to examine the business and marketing digitalization strategies implemented by companies to increase brand awareness amidst technological disruption. By leveraging technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics, companies can expand brand reach, create more personalized communications, and increase real-time consumer engagement. The novelty of this study lies in its deep exploration of how these advanced technologies not only enhance operational efficiency but also significantly strengthen brand positioning by delivering more relevant, personalized, and integrated digital experiences to consumers. This study uses a mixed-method approach, namely a qualitative approach through case studies and a quantitative approach through a survey of industry players actively adopting Industry 4.0 technologies. The results show that digitalization not only improves operational efficiency but also strengthens brand positioning in the minds of consumers through relevant and integrated digital experiences. Furthermore, companies that successfully combine technological innovation with data driven marketing strategies tend to have stronger brand equity and high adaptability to market changes. These findings underscore the importance of investing in digital infrastructure and developing an innovative culture to strengthen brand awareness and sustainable business competitiveness.
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.
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.
Co-Authors Baedowi, Hikmal Dinarwati, Dini Marviola Hardini NURAENI, RANI Parker, Jonathan Rahardja, Fransisca Sunarjo, Richard Andre Untung Rahardja