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Influence of Government Policy, Community Ecological Awareness, and Adoption of New Technology on Successful Forest Management in Kalimantan Loso Judijanto; Hildawati Hildawati
West Science Nature and Technology Vol. 2 No. 02 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i02.1014

Abstract

Forest management is a critical concern in Kalimantan, Indonesia, where rapid deforestation and ecological degradation pose significant environmental challenges. This study explores the influence of government policy, community ecological awareness, and new technology adoption on successful forest management. Utilizing a quantitative research design, data were collected from 170 respondents, including government officials, community leaders, and forest management professionals. Structural Equation Modeling (SEM) using Partial Least Squares (PLS) was employed for data analysis. The findings reveal that government policy, community ecological awareness, and new technology adoption significantly impact forest management success. Government policy emerged as the most influential factor, followed by new technology adoption and community ecological awareness. These results underscore the importance of an integrated approach that combines robust policies, active community engagement, and advanced technologies to enhance forest management outcomes. The study provides valuable insights for policymakers, practitioners, and researchers in developing effective strategies for sustainable forest management in Kalimantan and similar regions.
The Effect of Artificial Intelligence Adoption, Machine Learning, and AI Ethics on Product Innovation in Start-ups in Bogor Afrizal Afrizal; Hildawati Hildawati; Sehan Rifky; Arnes Yuli Vandika
West Science Social and Humanities Studies Vol. 2 No. 05 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i05.906

Abstract

This research investigates the influence of artificial intelligence (AI) adoption, machine learning (ML) integration, and AI ethics on product innovation within Bogor's startup ecosystem. A quantitative approach was employed, collecting data through an online survey from 180 startups. Structural equation modeling with Partial Least Squares (PLS) 3 was utilized for data analysis. The results reveal significant positive relationships between AI adoption, ML integration, AI ethics, and product innovation. AI adoption and ML integration positively impact product innovation, while adherence to ethical AI practices also plays a crucial role. These findings highlight the importance of leveraging AI technologies responsibly and ethically to drive innovation within startup ecosystems. Policymakers, entrepreneurs, investors, and other stakeholders can utilize these insights to foster a conducive environment for sustainable growth and innovation in Bogor's startup community.