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International Journal of Sustainable Engineering Innovations
Published by CV Media Inti Teknologi
ISSN : -     EISSN : 31102182     DOI : https://doi.org/10.58723/ijsei.v2i1.150
Core Subject : Economy, Science, Education, Engineering,
Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering
The International Journal of Sustainable Engineering Innovations (IJSEI) is a leading publication dedicated to the intersection of innovation and sustainability within engineering. The journal serves as a vital platform for academics, researchers, and professionals to share original research, reviews, and case studies that promote more environmentally responsible engineering practices. By focusing on the integration of sustainability across various engineering disciplines, IJSEI aims to contribute to the global effort of building a more resilient and eco-friendly future. The scope of IJSEI covers a wide range of critical topics in sustainable engineering. The journal features research on Renewable Energy Systems, including breakthroughs in solar, wind, and geothermal technologies, as well as advancements in smart grids and energy storage. It also explores Sustainable Materials and Construction, with articles on green building designs, recycled materials, and lifecycle assessments. Other key areas include Waste Management and Resource Recovery, which focuses on circular economy models and waste-to-energy solutions, as well as the Economics and Finance of Sustainable Engineering, which analyzes the financial viability and economic impact of green projects. The journal also addresses the importance of Sustainable Engineering Education, highlighting new curricula and teaching methods to foster the next generation of engineers.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 22 Documents
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Forest Fire Alert System Using Satellite Imagery, Machine Learning, and GPS-Based Early Warning Mechanism Anwar Ali Sathio; Doulat Ram; Abdul Aziz Khan; Sameer Ali
International Journal of Sustainable Engineering Innovations Vol. 2 No. 1 (2026): International Journal of Sustainable Engineering Innovations (February 2026)
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijsei.v2i1.152

Abstract

Background of study: Wildfires pose a critical threat to global ecosystems, biodiversity, and human safety, with climate change intensifying fire frequency, scale, and unpredictability. Traditional wildfire detection approaches often suffer from delayed response, limited coverage, and insufficient automation, which restrict effective mitigation and early intervention. Aims and scope of paper: This paper aims to design and evaluate an intelligent Forest Fire Alert System that integrates satellite remote sensing, machine learning models, Internet of Things based environmental sensing, and real time alert communication to enable early wildfire detection and proactive risk assessment. Methods: The proposed system employs a Convolutional Neural Network to detect active fire regions from multispectral satellite imagery, while a Random Forest classifier estimates wildfire risk levels based on meteorological variables and IoT sensor data. Geospatial positioning through GPS supports precise location mapping, and a web-based dashboard disseminates real time alerts to forestry authorities for rapid response. Result: Experimental evaluation demonstrates strong performance of the proposed framework. The CNN model achieved an accuracy of 94.7 percent, precision of 92.3 percent, recall of 96.1 percent, and an F1 score of 94.1 percent. The Random Forest model obtained an accuracy of 88.2 percent with a ROC AUC value of 0.91, indicating reliable fire risk prediction capability. Conclusion: The integrated Forest Fire Alert System outperforms conventional detection methods in terms of accuracy, detection speed, and automation. The proposed approach provides a scalable, IoT enabled, and proactive solution for intelligent wildfire monitoring and management under evolving climatic conditions.
Circular Economy Approaches In Sustainable Engineering: A Systematic Literature Review Of Waste-To-Resource Technologies, Economic Impacts, And Policy Frameworks Abdul Jamal; Adamu Abubakar
International Journal of Sustainable Engineering Innovations Vol. 2 No. 1 (2026): International Journal of Sustainable Engineering Innovations (February 2026)
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijsei.v2i1.162

Abstract

Background of Study: The global challenge of waste management and resource depletion is driven by the traditional linear "take-make-dispose" model. This study addresses the urgent need to transition toward a circular economy (CE) to mitigate environmental degradation and resource scarcity. Aims Paper: To systematically synthesize and analyze existing literature to identify strategic pathways for advancing sustainable engineering through circular economy principles, integrating technological innovation, economic impacts, and policy frameworks. Methods: The research employed a Systematic Literature Review (SLR) following PRISMA 2020 guidelines. Data was sourced from Scopus, Web of Science, and IEEE Xplore (2015–2025). Bibliometric analysis was performed using Biblioshiny and VOSviewer on 15 high-quality selected articles. Result: Findings show that the field is dominated by techno-economic studies (28.6%), Life Cycle Assessment (21.4%), and resource recovery optimization (21.4%). Quantitative modeling and simulations are the primary methodologies used (42.9%). Conclusion: The transition to a circular economy requires an integrated approach linking technical advancement with economic viability and policy support. Future research should bridge the gap between technological innovation and social/digital transformation.

Page 3 of 3 | Total Record : 22

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