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AI, Innovation, and Resilience for the Environment Journal
Published by Sinar Mentari Sundara
ISSN : 31632637     EISSN : 31632629     DOI : https://doi.org/10.68012/air
Core Subject :
The atmosphere is the most fluid and universal of all planetary systems, transcending borders and connecting every living organism. In this spirit of essentiality and purity, AI, Innovation, and Resilience for the Environment (AIR) Journal is established as a premier international forum. By harnessing the invisible yet pervasive power of artificial intelligence, AIR seeks to breathe new life into environmental conservation, resource management, and climate adaptation strategies for the modern era. The mission of AIR Journal is to catalyze the transition from reactive environmental protection to proactive, data-driven resilience. The journal’s name and acronym, AIR Journal, represent one of the four classical elements symbolizing clarity, life-giving purity, and the interconnectedness of global ecosystems. We believe that technology, when applied with wisdom, can act like a fresh breeze, clearing the "smog" of ecological degradation and providing the transparency needed for sustainable governance. As we move toward the 2026 climate milestones, AIR envisions an "Autonomous Ecology" where AI-driven systems monitor, predict, and mitigate environmental threats in real-time. The journal serves as a sanctuary for interdisciplinary research that merges high-tech innovation with "Orange Technologies"creative, human-centric solutions that foster emotional harmony between technological progress and the natural world.
Arjuna Subject : -
Articles 20 Documents
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A Quantitative Analysis of Blockchain-based Data Breach Prevention Lidya Agustine Senduk; Ihda Nur Fathiyah; Ersa Aura Anastasya; Lily Maria Evans
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 1 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i1.119

Abstract

This paper presents a quantitative analysis of Blockchain-based Data Breach Prevention systems, addressing the critical and escalating challenge of data security in centralized databases (Background). The persistent threat landscape, marked by increasingly sophisticated cyberattacks and significant financial losses resulting from data breaches, necessitates a fundamental shift in defensive architecture, moving toward decentralized, immutable solutions. The Object of this research is to rigorously evaluate the efficacy and operational overhead of integrating a permissioned blockchain (specifically, using a Hyperledger Fabric implementation) as a supplementary, tamper-proof audit and integrity layer for traditional SQL databases, compared against existing, purely centralized data breach detection and prevention mechanisms. We introduce a novel simulation framework to model various attack vectors, including unauthorized data modification and logging manipulation, across two distinct environments: a control group utilizing standard access controls and logging, and an experimental group augmented with the blockchain-based system (Method). Key performance indicators such as Mean Time to Detection (MTTD), Immutability Assurance Score (IAS), and transaction throughput overhead are measured, analyzed, and statistically compared. The Result demonstrates that while the blockchain integration introduces a negligible latency overhead (under 5% increase in transaction time), it achieves a 100% Immutability Assurance Score for audit logs and a 95% reduction in MTTD for data integrity violations compared to the control group. This high level of verifiable data integrity and swift detection capabilities fundamentally transforms the security posture. Therefore, the Conclusion is that blockchain technology serves as a highly effective, quantifiable defense mechanism that significantly mitigates the risk and impact of data breaches by ensuring cryptographically verifiable log and data integrity, establishing it as a promising paradigm for next-generation data security infrastructure.
Feature Engineering for Improved Digital Business Model Accuracy Qurotul Aini; Sipho Dlamini; Shofiyul Millah; Sausan Raihana Putri Junaedi
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 1 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i1.120

Abstract

The rapid growth of digital businesses has intensified the demand for accurate and robust business models capable of predicting market behavior and optimizing operational efficiency. The Background of this study highlights the challenges faced by digital enterprises in handling high-dimensional, heterogeneous data, which often compromise model accuracy and predictive reliability. The Object of this research is to examine how feature engineering techniques can enhance the performance and precision of digital business models, providing more reliable insights for decision-making. Employing a mixed-methods approach as the Method, the study integrates quantitative evaluation using machine learning algorithms on diverse digital business datasets alongside qualitative analysis of feature selection, transformation, and extraction processes. The Result demonstrates that strategic feature engineering significantly improves model accuracy, reduces overfitting, and enhances interpretability, with models incorporating engineered features outperforming baseline models by measurable margins in predictive metrics. Furthermore, specific feature selection and transformation methods show a notable impact on optimizing model performance across various digital business scenarios. The Conclusion emphasizes that feature engineering is a critical component in developing high-accuracy digital business models, serving as a bridge between raw data and actionable insights. By systematically applying feature engineering techniques, digital enterprises can enhance forecasting reliability, operational strategy design, and overall business agility, contributing to sustainable growth in competitive digital markets. This study underscores the importance of integrating advanced data preprocessing strategies as part of the digital business modeling pipeline to maximize predictive efficiency and strategic decision support.
Decentralized Finance (DeFi) for Enterprise Treasury Management Untung Rahardja; Asep Sutarman; Muhtarom Muhtarom; Berlin Any
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 1 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i1.121

Abstract

This study explores the potential of Decentralized Finance (DeFi) as an innovative approach to enterprise treasury management. The Background of this research is rooted in the growing limitations of traditional treasury systems, which are often constrained by centralized control, limited transparency, high transaction costs, and slow settlement processes. The Object of this paper is to analyze how DeFi mechanisms, including smart contracts, decentralized lending, stablecoins, and blockchain-based liquidity management, can be adopted to improve efficiency, transparency, and financial resilience in corporate treasury operations. The Method employed in this study is a qualitative research approach, combining a systematic literature review, conceptual framework analysis, and case-based evaluation of existing DeFi platforms relevant to enterprise financial management. The Result of the analysis indicates that DeFi offers significant advantages for enterprise treasuries, such as real-time settlement, enhanced auditability, reduced reliance on intermediaries, improved liquidity optimization, and greater flexibility in cross-border transactions. However, the findings also highlight critical challenges, including regulatory uncertainty, smart contract risks, cybersecurity threats, and integration issues with existing enterprise systems. The Conclusion of this research emphasizes that while DeFi is not yet a complete replacement for traditional treasury management frameworks, it represents a promising complementary solution. With appropriate governance structures, regulatory clarity, and risk mitigation strategies, DeFi has the potential to transform enterprise treasury management into a more efficient, transparent, and decentralized financial ecosystem.
Blockchain Applications for Transparency in the Insurance Industry Chandra Lukita; Harry Agustian; Kamal Arif Al-Farouqi; Fazri Arkiman
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 1 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i1.122

Abstract

Transparency has become a critical pillar for trust in the insurance industry, yet traditional systems remain plagued by opaque claim procedures, high fraud rates, and inefficiencies caused by centralized databases. This study aims to analyze how blockchain-based mechanisms can address key pain points in claims processing, fraud detection, and data integrity. Adopting a conceptual and qualitative research approach, the methodology synthesizes findings from academic publications, industry reports, and real-world implementations to evaluate blockchain's contribution across four dimensions: process transparency, operational efficiency, trust, and regulatory compliance. The results indicate that core blockchain attributes—such as smart contracts and immutable ledgers significantly accelerate claim settlements, reduce information asymmetry, and enable real time behavior tracking through technologies like the Internet of Vehicles (IoV). It is concluded that while challenges regarding privacy and regulatory fragmentation persist, blockchain offers a paradigm shift toward a more transparent, efficient, and trustworthy insurance ecosystem by realigning economic incentives between insurers and policyholders.
Integrating AI for Dynamic Personalization in Gamichain Systems: Enhancing Engagement, Ownership, and Value in Digital Business Anny Ratnawati; Tony Irawan; Syahrul Muarif Wahid; Omar Arif Al-Kamari
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 1 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i1.123

Abstract

Gamichain, a hybrid model that integrates gamification and blockchain technology, has emerged as a foundational driver of innovation within modern digital business ecosystems by enabling transparent reward mechanisms, decentralized asset ownership, and long-term incentive structures that promote sustained user participation. Despite these advantages, many existing Gamichain implementations still face a critical limitation: the absence of dynamic and adaptive personalization, resulting in static user experiences that fail to align with evolving preferences, behavioral patterns, and motivational profiles. Artificial intelligence (AI) offers a powerful solution to this gap through data-driven personalization, predictive engagement analytics, dynamic tokenomics optimization, and adaptive gamification design capable of adjusting content and reward mechanisms in real time. By utilizing AI techniques such as machine learning, natural language processing, and recommendation systems, Gamichain ecosystems can deliver more relevant, anticipatory, and responsive interactions that significantly enhance user engagement, ownership, and perceived value. This study investigates the integration of AI-enabled personalization within Gamichain architectures, focusing on identifying suitable AI techniques and strategies that optimize user experience across decentralized gamified environments. The primary contribution of this research is the development of a conceptual framework for AI-powered dynamic personalization in Gamichain systems, highlighting its potential to strengthen user loyalty, foster digital community formation, and support sustainable business growth. This framework provides a theoretical foundation for future empirical studies and practical implementations aimed at advancing next-generation Gamichain applications capable of delivering richer, more adaptive, and value-driven digital experiences.
Leveraging Public APIs for Strategic Business Insights Fandi Ahmad; Nuke Puji Lestari Santoso; Kgomotso Moyo
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 1 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i1.124

Abstract

Public Application Programming Interfaces (APIs) have become an integral component of digital ecosystems, enabling organizations to access external data sources and transform them into meaningful strategic insights. Alongside the rapid expansion of open data and platform-based services, organizations increasingly rely on public APIs to support decision making, market analysis, and strategic planning. However, many organizations still struggle to move beyond technical implementation and fully integrate API-based data into managerial and strategic processes. This study aims to explore how public APIs are leveraged to generate strategic business insights, focusing on organizational practices, interpretive processes, and contextual factors that shape their effective use. To address this aim, the study adopts a qualitative multiple case study approach involving organizations operating in data-intensive digital business environments. Data were collected through semi-structured interviews with managers and analysts, complemented by document analysis and limited observation, and were analyzed using thematic analysis. The findings reveal that public APIs function not merely as technical connectors, but as strategic resources that enhance market sensing, support managerial judgment, and enable greater strategic agility. At the same time, the study identifies recurring challenges related to data quality, dependency on external API providers, governance mechanisms, and trust in externally sourced data. By providing an in-depth, process-oriented understanding of API utilization, this research contributes to the digital business and data-driven strategy literature, particularly from a qualitative perspective that remains underrepresented. The study also offers practical insights for organizations seeking to align public API usage with strategic objectives, highlighting the importance of analytical interpretation, leadership involvement, and governance practices in transforming external data into actionable business insights.
The Impact of Blockchain on the Global Gig Economy Royani; Marviola Hardini; Rufaidah Tiara Zahwa; Kristina Vaher
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 1 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i1.125

Abstract

Blockchain technology has significant potential to revolutionize the global gig economy ecosystem. The core of this transformation lies in its ability to provide payment transparency, execute agreements through smart contracts, establish secure digital identities, and create trustless reputation systems. This paper presents an analysis of the opportunities and challenges associated with the adoption of blockchain in the freelance labor market. The primary opportunities include the establishment of fairer payment systems, the elimination of intermediaries (disintermediation), and the expansion of access to global markets. However, the adoption of this technology also faces significant challenges, including regulatory issues, network scalability, and barriers related to user adoption. Through theoretical analysis and case studies of specific platforms, this research aims to explain how blockchain implementation can create a gig economy system that is more efficient, secure, and worker-centered.
User Adoption Barriers for Decentralized Business Applications Syifa Wulandari; Ninda Lutfiani; Vina Robiatul Adawiyah; Marta Rodriguez
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 1 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i1.126

Abstract

Decentralized business applications (dApps) have emerged as transformative innovations within the digital economy, offering enhanced transparency, security, and autonomy compared to traditional centralized systems. However, despite their potential, the rate of user adoption remains limited due to multiple technological and behavioral barriers. This study aims to identify and analyze the key factors that hinder user adoption of decentralized business applications, focusing on technological complexity, lack of trust, usability issues, and regulatory uncertainty. The research employed a mixed-method approach that combined quantitative surveys of active blockchain users with qualitative interviews from industry experts to obtain comprehensive insights into user behavior and perception. The findings reveal that the main obstacles include insufficient user understanding of blockchain technology, concerns about data privacy, and the absence of standardized user experience designs, all of which contribute to low engagement and limited mainstream adoption. Furthermore, the study highlights that perceived risks and regulatory ambiguities significantly reduce users’ willingness to transition from centralized to decentralized platforms. In conclusion, the research emphasizes the need for user-centered design, clearer legal frameworks, and targeted education initiatives to foster greater trust and accessibility in decentralized ecosystems. These results contribute to a deeper understanding of adoption dynamics and provide practical implications for developers, policymakers, and organizations aiming to promote sustainable adoption of decentralized business applications.
Interoperability Challenges for Digital Assets in Gamichain Ecosystems: Barriers,Opportunities, and Strategic Directions Sunanto; Kasmad; John
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 1 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i1.127

Abstract

The convergence of gamification and blockchain, known as Gamichain, has emerged as a transformative paradigm in digital business, combining behavioral incentives with decentralized technology to create transparent, engaging, and ownership driven ecosystems. Within these systems, digital assets such as tokens, NFTs, and governance coins act as key enablers of value creation, loyalty, and user participation. However, despite their potential, Gamichain ecosystems face significant interoperability challenges caused by blockchain fragmentation, incompatible standards, and limited cross chain asset transferability, resulting in poor user experience and slow adoption. The objective of this study is to analyze the main barriers to interoperability in Gamichain ecosystems, review existing technological and business solutions, and propose strategic directions for building seamless cross platform environments that enable digital asset mobility and sustainable growth. Using a conceptual and comparative case study approach, the  research integrates insights from academic literature, industry reports (including Deloitte, PwC, and the World Economic Forum), and practical cases such as Axie Infinity, Starbucks Odyssey, and Cosmos. The analysis applies the Technology Adoption Model (TAM), interoperability maturity frameworks, and SWOT analysis to identify patterns and potential pathways. The findings reveal that the lack of universal token standards, bridge vulnerabilities, and platform lock-ins are among the main obstacles to interoperability, while initiatives such as Polkadot and Cosmos demonstrate promising progress. This paper concludes by proposing a multi layered framework spanning technical, user experience, governance, and regulatory dimensions to guide the development of interoperable and trustworthy Gamichain infrastructures that balance innovation, user sovereignty, and ecosystem trust.
A Framework for Data-Informed Content Creation Elda Diah Safitri; Fitra Putri Oganda; Carlos Perez
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 1 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i1.128

Abstract

The rapid growth of digital platforms has transformed content creation into a data-rich activity where audience interactions generate valuable insights. De- spite the availability of large volumes of data, many content creators still rely heavily on intuition and use analytics only for superficial performance monitor- ing. This study addresses the gap between data availability and its practical inte- gration into the content creation process by proposing a structured framework for data-informed content creation. The research reviews existing literature on dig- ital marketing, content strategy, and data analytics to identify key stages where data can effectively guide creative decision-making. The proposed framework integrates audience analysis, data-driven content planning, content production, and performance evaluation into a continuous cycle of improvement. By com- bining analytical insights with creative processes, the framework helps organi- zations develop more relevant, engaging, and strategically aligned content. The findings highlight that a data-informed approach not only improves engagement and efficiency but also supports better collaboration between creative and analyt- ical teams. Ultimately, this study contributes both theoretically and practically by providing a systematic model that enables marketers and content creators to leverage data more effectively throughout the entire content lifecycle.

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