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Assessing the Environmental and Economic Effects of Smart Grid Integration Using SEM Evans, Richard; Oganda, Fitra Putri; Setiawan, Mohamad Agus; Nurjanah, Lina; Sunengsih, Meriyana
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.v4i1.934

Abstract

The global shift toward renewable energy has intensified the need for intelligent energy management systems capable of addressing variability in power supply and optimizing system-wide performance. Smart grid technologies have emerged as a key enabler in achieving sustainable, efficient, and data-drivenvenergy distribution. This study employs a quantitative approach using Structural Equation Modeling (SEM) via SmartPLS to analyze data collected from stakeholders involved in renewable energy deployment, utility operations, and smart grid implementation. The model evaluates the relationships between smart grid integration, environmental performance, and economic outcomes. The primary aim of this research is to assess how smart grid adoption influences carbon emission reduction, energy efficiency enhancement, and cost optimization within renewable energy ecosystems. The SEM analysis indicates a statistically significant positive effect of smart grid integration on both environmental and economic indicators. Smart grid implementation improves energy efficiency by more than 30%, while operational cost savings reach up to 25% over extended periods. Carbon emission reduction is identified as a key mediating factor within the model, reinforcing the ecological benefits of smart grid adoption. The findings demonstrate that smart grid technologies contribute substantially to both sustainability and economic resilience in renewable energy management. The study provides actionable insights for energy policymakers, grid operators, and industry practitioners, highlighting the vital role of intelligent, data-driven infrastructures in advancing future global energy systems.
Digital Banking and Operational Efficiency toward Bank Sustainability Performance Soleman Lenggu, Max ABR.; Muhtarom, Muhtarom; Rangi, Noah; Sunengsih, Meriyana
ADI Journal on Recent Innovation (AJRI) Vol. 7 No. 2 (2026): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i2.1445

Abstract

The rapid growth of digital banking has significantly transformed banking operations by enhancing efficiency and supporting sustainability-oriented practices aligned with the Sustainable Development Goals (SDGs), yet empirical evidence on its integrated impact remains limited, particularly in emerging markets. This study aims to examine the effect of digital banking adoption on operational efficiency and bank sustainability performance, while assessing the role of efficiency in strengthening sustainable outcomes. A quantitative panel data approach is applied using multi-year data from 25 commercial banks over the period of 2018–2023, where digital banking indicators, efficiency measures, and sustainability performance proxies are analyzed through regression-based panel data models with appropriate control variables. The empirical findings reveal that digital banking adoption positively and significantly improves operational efficiency, and higher efficiency levels are associated with enhanced sustainability performance, indicating that efficiency serves as a key mechanism linking digital transformation and sustainable banking performance. This study concludes that digital banking acts as a strategic enabler of sustainable banking by simultaneously improving operational efficiency and long-term sustainability performance, offering important implications for bank managers and policy makers in formulating data-driven digital transformation strategies that support sustainable financial development.