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West Science Nature and Technology
Published by Westscience Press
ISSN : 30266599     EISSN : 30261430     DOI : https://doi.org/10.58812/wsnt.v1i02
Core Subject : Science,
The scope of the journal Nature and Technology covers a wide range of topics that combine aspects of nature and technology. The journal aims to provide a platform for research and thought on how technology can be used to understand, protect, and interact positively with nature. Its scope includes, but is not limited to: Environmental Monitoring Conservation and Preservation Renewable Energy Biomimicry Biodiversity and Biotechnology Sustainable Agriculture Natural Resources Management Environmental Health Education and Environmental Awareness Human and Natural Well-being Ecosystem and Technology Alignment Eco-Friendly Product Design
Articles 5 Documents
Search results for , issue "Vol. 2 No. 03 (2024): West Science Nature and Technology" : 5 Documents clear
Bibliometric Analysis of Green Technology Research Trends and Their Impact on the Global Loso Judijanto; Ade Suhara; Nanny Mayasari
West Science Nature and Technology Vol. 2 No. 03 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i03.1260

Abstract

Green technology has emerged as a critical field of research due to growing global concerns about climate change and environmental degradation. This study conducts a bibliometric analysis to explore research trends in green technology and their impact on the global economy. The analysis covers publications from 1981 to 2024 and reveals a significant increase in research output, particularly after 2000, driven by global efforts to promote sustainability. Key themes identified include green technology innovation, investment, green growth, and technical advancements in green chemistry and solvents. China and the United States lead in research output and international collaboration, highlighting the global nature of green technology research. However, challenges such as the high costs of green technology adoption and the need for more interdisciplinary research persist. This study concludes that while green technology research has made substantial progress, future efforts must focus on making these technologies more economically viable and accessible, particularly in developing regions.
The Effect of Green Technology Implementation, Agricultural Product Innovation, and Green Technology Infrastructure Investment on Local Economic Growth in West Java Loso Judijanto; Dewa Oka Suparwata; Darmawan Listya Cahya; Imam Widodo
West Science Nature and Technology Vol. 2 No. 03 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i03.1280

Abstract

This study examines the effects of green technology implementation, agricultural product innovation, and green technology infrastructure investment on local economic growth in West Java. Utilizing a quantitative approach, data were collected from 120 respondents using a Likert scale and analyzed through Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings reveal that green technology implementation, agricultural product innovation, and green technology infrastructure investment all significantly and positively impact local economic growth. The results emphasize the importance of sustainable practices and innovation in fostering economic development. The study provides insights for policymakers and business leaders to promote green technology adoption, support agricultural innovation, and invest in infrastructure to drive sustainable economic growth. Future research should explore additional variables and broader geographical contexts to enhance the model's explanatory power.
The Effect of AI-Based Technology Implementation, Green Energy Sustainability, and Product Innovation on Economic Growth of the Manufacturing Industry in Indonesia Loso Judijanto; Triyugo Winarko; Usman Tahir; Arnes Yuli Vandika; Amelia S. Sarungallo
West Science Nature and Technology Vol. 2 No. 03 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i03.1281

Abstract

This study investigates the effect of AI-based technology implementation, green energy sustainability, and product innovation on the economic growth of the manufacturing industry in Indonesia. Using a quantitative research approach, data were collected from 120 manufacturing firms and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results show that AI-based technology has the strongest positive impact on economic growth, followed by green energy sustainability and product innovation. AI-driven technologies optimize operations, reduce costs, and enhance decision-making, contributing significantly to the economic performance of firms. Green energy sustainability promotes long-term growth by reducing operational costs and improving environmental performance. While product innovation positively influences growth, its impact is relatively weaker, indicating the need for complementary factors. These findings provide insights for policymakers and industry leaders to focus on technological advancement, sustainability, and innovation as drivers of economic growth in Indonesia’s manufacturing sector.
The Effect of Clean Energy Technology Infrastructure Development on Regional Economic Growth in Indonesia Loso Judijanto; Ilham Ilham; Arnes Yuli Vandika
West Science Nature and Technology Vol. 2 No. 03 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i03.1295

Abstract

This study investigates the effect of clean energy technology infrastructure development on regional economic growth in Indonesia. Using a quantitative research design, data were collected from 70 respondents across different regions using a Likert scale ranging from 1 to 5. The analysis was conducted using SPSS version 26 to examine the relationship between clean energy infrastructure and regional economic performance. The results show a strong positive correlation between clean energy technology infrastructure and regional economic growth, with a statistically significant relationship. Furthermore, multiple regression analysis indicates that clean energy infrastructure development significantly predicts economic growth, while geographic location and government policy also play important roles. These findings suggest that investments in clean energy infrastructure are crucial drivers of regional economic development and highlight the need for supportive policies to maximize the benefits of renewable energy projects. This study provides valuable insights for policymakers and stakeholders in advancing sustainable development through clean energy initiatives.
Analysis of Plant Watering Efficiency Using IoT Technology Controlled Through Google Assistant Nur Hakim; Muhammad Hazmi; Syam Gunawan; Arnes Yuli Vandika; Hanifah Nurul Muthmainah
West Science Nature and Technology Vol. 2 No. 03 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i03.1296

Abstract

This paper presents a systematic literature review (SLR) of 120 academic documents sourced from the Scopus database, which analyses the efficiency of crop watering systems utilizing Internet of Things (IoT) technology controlled via Google Assistant. The review explores key advances in IoT-based irrigation systems, highlighting how real-time data from sensors and voice-controlled automation improve water efficiency and user experience. The findings reveal that IoT systems can reduce water wastage by 25-30%, optimise plant health, and offer convenience through voice commands. However, challenges such as connectivity issues, high implementation costs, and system maintenance complexity also need to be addressed. This paper discusses potential future research directions, including scalability, AI integration, and cost-effective solutions to expand the adoption of these technologies in agriculture and horticulture.

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