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Assessing the Environmental and Economic Impact of Smart Grid Integration in Renewable Energy Management Henry Henry; Konita Lutfiyah; Harry Agustian; Nicholas Lachlan
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.708

Abstract

The global transition to renewable energy aims to reduce environmental impacts and combat climate change, yet challenges arise due to the intermittent nature of renewable sources, complicating their integration into traditional power grids and requiring advanced management solutions. Smart grid technology presents promising capabilities to optimize renewable energy management, promoting both environmental sustainability and economic efficiency. This study evaluates the environmental and economic impacts of smart grid integration, fo- cusing on carbon emission reductions, enhanced energy efficiency, and cost savings for energy providers and consumers. Using Structural Equation Modeling via SmartPLS, data were collected and analyzed from various stakeholders engaged in renewable energy and smart grid applications, allowing a detailed assessment of the relationships between smart grid integration, environmental outcomes, and economic benefits. Results indicate that smart grid integration significantly reduces carbon emissions and improves energy efficiency by over 30% while economically, it yields substantial cost savings, cutting operational expenses by up to 25% over time. The SmartPLS analysis confirms a positive relationship between smart grid deployment and both environmental and economic outcomes, highlighting that smart grids not only support emission reductions but also deliver considerable financial benefits in renewable energy management. These findings offer important insights for policymakers and industry stakeholders, emphasizing the role of smart grids in advancing sustainable and economically viable global energy systems.
Optimizing Search Engine Optimization Strategies to Increase Visibility and Author Awareness in Scientific Journals Ninda Lutfiani; Adam Faturahman; Ramzi Zainum Ikhsan; Harry Agustian; Gelard Godwin
ADI Journal on Recent Innovation (AJRI) Vol. 8 No. 1 (2026): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v8i1.1527

Abstract

This study aims to analyze the optimization of Search Engine Optimization (SEO) strategies to increase journal visibility and author awareness in Technomedia Journal. In the era of digital publication, scientific journals are not only required to publish quality articles but also to be easily found through search engines and academic platforms. This study employed a quantitative approach by distributing questionnaires to 101 respondents, including authors, researchers, academics, and journal users familiar with Technomedia Journal. The data were analyzed using the Structural Equation Modeling (SEM-PLS) method with the help of SmartPLS software. The research model consists of SEO, Paper Quality (PQ), Open Journal Systems (OJS), and indexing and digital presence as independent variables, journal visibility as an intervening variable, and author awareness as a dependent variable. The results showed that indexing and digital presence have the strongest influence on journal visibility with a path coefficient value of 0.641. In addition, journal visibility also has a strong positive effect on author awareness with a path coefficient value of 0.670. The R-square value for journal visibility is 0.804, which means that 80.4% of the variation in journal visibility can be explained by the independent variables. Meanwhile, the R-square value for author awareness is 0.704, which means that 70.4% of the variation can be explained by journal visibility and SEO. These findings indicate that strengthening indexing, digital presence, article PQ, OJS management, and SEO strategies in an integrated manner can increase journal visibility and author awareness of Technomedia Journal.
Cyberpreneurship and Green Technology Adoption for Sustainable Environmental Innovation in MSMEs Abdul Hamid Arribathi; Harry Agustian; John Edward
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.v1i2.221

Abstract

The growing development of digital entrepreneurship has provided significant opportunities for micro, small, and medium enterprises (MSMEs) to enhance competitiveness while addressing increasing environmental sustainability requirements. However, many MSMEs still face challenges in integrating cyberpreneurship strategies with green technology adoption to achieve sustainable environmental innovation. This study investigates the influence of digital innovation and green technology adoption on cyberpreneurship performance and examines their contribution to sustainable environmental innovation among MSMEs. A quantitative research approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM) through SmartPLS 4.0. Data were collected from 150 digital-oriented MSME owners in Indonesia using an online structured questionnaire with a five-point Likert scale. The measurement model evaluation confirmed that all constructs achieved satisfactory reliability and validity levels. The results indicate that digital innovation significantly influences cyberpreneurship performance (β = 0.436, p < 0.001), while green technology adoption also positively affects cyberpreneurship performance (β = 0.371, p < 0.001). Furthermore, cyberpreneurship performance significantly enhances sustainable environmental innovation (β = 0.482, p < 0.001). Conversely, digital innovation does not have a significant direct effect on sustainable environmental innovation (β = 0.118, p = 0.113), whereas green technology adoption demonstrates a significant direct influence (β = 0.297, p < 0.001). The mediation analysis confirms that cyberpreneurship performance mediates the relationship between digital innovation, green technology adoption, and sustainable environmental innovation. These findings highlight that cyberpreneurship performance is a strategic mechanism for transforming digital capabilities and green technology initiatives into sustainable innovation outcomes among MSMEs.