Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
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This Author published in this journals
All Journal Startupreneur Business Digital (SABDA Journal) BEAM AI, Innovation, and Resilience for the Environment Journal
Ihda Nur Fathiyah
Syarif Hidayatullah Jakarta Islamic State University
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education

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The Role of Green Innovation in Strengthening the Sustainability Performance of Digital Startups in Indonesia Lidya Agustine Senduk; Chua Toh Hua; Ihda Nur Fathiyah
Startupreneur Business Digital (SABDA Journal) Vol. 5 No. 1 (2026)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v5i1.1050

Abstract

The increasing awareness of environmental sustainability has encouraged many digital startups in Indonesia to adopt green innovation as a strategic approach to achieving long-term business resilience. This study aims to explore the role of green innovation in strengthening the sustainability performance of digital startups in Indonesia. Using a qualitative approach, the research gathers insights from interviews with startup founders and managers who have integrated eco-friendly practices into their business operations. The findings reveal that green innovation not only enhances operational efficiency and reduces environmental impact but also strengthens brand reputation and stakeholder trust. Furthermore, startups that embed sustainability principles into their core business models demonstrate greater adaptability to market changes and long-term competitiveness. This study contributes to the understanding of how environmental responsibility can coexist with business growth in the digital startup ecosystem. The implications highlight the need for policy support, technological collaboration, and education to foster green innovation in Indonesia’s startup landscape.
Semantic Edge Orchestration for 6G-Enabled Immersive Media Broadcasting Lunantari Sanbella; Chandra Lukita; Anandha Fitriani; Ihda Nur Fathiyah
Bridging of Emerging AI and Media Broadcasting (BEAM) Vol. 2 No. 1 November (2026): Bridging of Emerging AI and Media Broadcasting
Publisher : Sundara Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/beam.V2i1.191

Abstract

The rapid evolution of 6G networks is expected to transform immersive media broadcasting by enabling ultra-low-latency communication, intelligent edge computing, and high-capacity transmission for extended reality, holographic content, and interactive multimedia. However, conventional edge resource management remains limited in understanding the semantic importance of media content, resulting in inefficient computation and transmission when network resources fluctuate. This study aims to develop a Semantic Edge Orchestration framework for 6G-enabled immersive media broadcasting that dynamically prioritizes computational, communication, and caching resources according to the semantic relevance of media streams and real-time network conditions. The proposed framework integrates semantic feature extraction, edge intelligence, and adaptive resource orchestration to classify content importance and coordinate processing across distributed edge nodes. Its performance is evaluated through simulation under different traffic loads and network conditions using end-to-end latency, bandwidth utilization, edge resource efficiency, and immersive media quality as evaluation metrics. The experimental results demonstrate that the proposed approach reduces end-to-end latency by 27.8%, decreases bandwidth consumption by 22.4%, and improves edge resource utilization by 18.6% compared with conventional resource aware orchestration while maintaining consistent perceptual quality during high network loads. These findings indicate that semantic aware edge orchestration can provide an effective architecture for intelligent 6G broadcasting by allocating network resources according to both contextual content importance and infrastructure conditions, thereby supporting scalable, responsive, and resource-efficient delivery of next- generation immersive media services.
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 Journal (AIR)
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.
Co-Authors Anandha Fitriani Chandra Lukita Chua Toh Hua Ersa Aura Anastasya Lidya Agustine Senduk Lily Maria Evans Lunantari Sanbella