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All Journal ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Startupreneur Business Digital (SABDA Journal) International Transactions on Artificial Intelligence (ITALIC)
Ilham, Muhammad Ghifari
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science

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Developing Digipreneurship Ecosystem in Local Communities to Enhance Digital Innovation Khanna, Gautam; Ilham, Muhammad Ghifari; Rafiuddin, Tubagus Wahyu; Sudaryono
Startupreneur Business Digital (SABDA Journal) Vol. 4 No. 1 (2025): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v4i1.719

Abstract

Strategic financial management is an important component in achieving sus- tainable business growth through optimal resource allocation. This research discusses a strategic framework that integrates financial planning, investment decision making, and risk management to achieve short term and long term goals. Effective financial planning ensures resource allocation is aligned with the company vision, while strategic investment decisions support the optimization of returns. In addition, integrated risk management helps companies mitigate the impact of market uncertainty. In facing an increasingly dynamic business environment, the importance of synchronization between financial strategy and business goals becomes increasingly apparent. Modern technologies, such as data analytics and artificial intelligence, act as catalysts in empowering data based decision making. With an analytical approach supported by case studies from various industrial sectors, this research identifies that companies that adopt a strategic approach to financial management are able to increase operational efficiency, reduce financial risk, and drive consistent business growth. The research also show that financial technology integration provides a competitive advantage, allowing companies to navigate market changes more effectively. This article offers practical insights for financial managers to develop strategies that not only focus on financial stability, but also capitalize on existing growth opportunities. Thus, this research contributes to the literature on strategic financial management and provides applicable guidance for companies to achieve a balance between operational efficiency and long-term business expansion.
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.
Co-Authors Baedowi, Hikmal Khanna, Gautam Marviola Hardini NURAENI, RANI Parker, Jonathan Rafiuddin, Tubagus Wahyu Sudaryono Sunarjo, Richard Andre Untung Rahardja