Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
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This Author published in this journals
All Journal Startupreneur Business Digital (SABDA Journal) AI, Innovation, and Resilience for the Environment Journal
Henry Newell
Ijiis Incorporation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education

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Enhancing Human Resource Management Efficiency through Scalable Blockchain Networks with an Adaptive AI Approach Indira Puspa Gustiah; Henry Newell
Startupreneur Business Digital (SABDA Journal) Vol. 4 No. 2 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v4i2.777

Abstract

Blockchain technology has attracted considerable attention in recent years due to its decentralized architecture, transparency, and inherent security features. Despite these advantages, Blockchain networks continue to face persistent challenges related to scalability, efficiency, and performance, particularly as transaction volumes and user demands increase. This study introduces an adaptive Artificial Intelligence (AI) driven framework designed to enhance the scalability and efficiency of Blockchain networks. By integrating AI algorithms capable of real-time learning and predictive optimization, the proposed model dynamically manages critical network functions such as transaction scheduling, resource allocation, and congestion control. The framework leverages both historical data and real-time analytics to make informed adjustments, thereby reducing latency, improving throughput, and optimizing energy consumption within Blockchain systems. The urgency of this research lies in addressing the scalability bottleneck that continues to hinder widespread Blockchain adoption across sectors such as finance, supply chain, healthcare, and human resource management. The novelty of this work resides in the fusion of adaptive AI techniques with Blockchain infrastructures, a combination that has been relatively underexplored in current scholarship. By advancing beyond static optimization methods, this research provides a more resilient and intelligent approach to Blockchain performance enhancement. The findings are expected to contribute to both aca- demic discourse and practical applications by offering a scalable, AI-empowered framework that can be adapted across multiple domains. Ultimately, this study aims to broaden the real-world applicability of Blockchain technology by overcoming its most pressing limitations.
Artificial Intelligence Research Trends for Environmental Resilience in the Digital Era Fajar Muttaqi; Henry Newell; Algiyant Rezki Tri Utama; Umi Rusilowati
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 2 (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.v1i2.238

Abstract

The rapid development of Artificial Intelligence (AI) has created significant opportunities to address environmental challenges in the digital era. Increasing issues such as climate change, pollution, waste management problems, and natural resource depletion highlight the need for innovative and sustainable solutions. The main problem addressed in this study is how Artificial Intelligence can enhance environmental resilience in the digital era. Therefore, the objective of this study is to analyze the role of AI in supporting environmental resilience and sustainable environmental management. This study employs a bibliometric analysis approach using scientific publications indexed in the Scopus database. The data were analyzed to identify publication trends, keyword relationships, research networks, thematic clusters, and emerging research directions related to Artificial Intelligence and Environmental Resilience. The results show that Artificial Intelligence contributes significantly to environmental monitoring, climate prediction, renewable energy optimization, waste management, and natural resource conservation. The findings reveal that the integration of AI with digital technologies improves decision-making accuracy, increases operational efficiency, reduces environmental risks, and supports data-driven sustainability initiatives. In conclusion, Artificial Intelligence plays a strategic role in enhancing environmental resilience in the digital era by optimizing resource management, improving energy efficiency, and supporting sustainable environmental policies. The adoption of AI should therefore be encouraged while maintaining principles of sustainability, ethics, and environmental responsibility.
Co-Authors Algiyant Rezki Tri Utama Fajar Muttaqi Indira Puspa Gustiah Rusilowati, Umi