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The Role of Artificial Intelligence in Sustainable Agriculture and Waste Management: Towards a Green Future Daniel Hernandez; Lukita Pasha; David Arian Yusuf; Rifky Nurfaizi; Dwi Julianingsih
International Transactions on Artificial Intelligence Vol. 2 No. 2 (2024): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v2i2.552

Abstract

This study explores the application of artificial intelligence (AI) in achieving sustainable development goals, focusing on sustainable agriculture and waste management. Using a mixed-methods approach, we analyzed data from various case studies and conducted a comprehensive literature review. Our findings reveal that AI significantly enhances operational efficiency, resource optimization, and cost reduction across these sectors. For instance, AI-powered smart irrigation systems in India have reduced water usage by 30% while increasing crop yields, and AI applications in Singapore's waste management have improved recycling rates by 25%. Despite these benefits, challenges such as infrastructure limitations, the need for specialized technical skills, and societal resistance persist. By conducting in-depth interviews with experts and surveys with practitioners, we gathered extensive data that underscores the need for supportive policies, infrastructure investment, and comprehensive training programs to maximize AI's potential. Our research provides practical recommendations to overcome these challenges, aiming to fully leverage AI's capabilities for a greener, more sustainable future.
Leveraging Blockchain Technology to Strengthen Cybersecurity in Financial Transactions: A Comprehensive Analysis David Arian Yusuf; Rio Wahyudin Anugrah; Maulana Arif Komara; Dwi Julianingsih; Emily Garcia
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i2.33

Abstract

In the rapidly evolving digital landscape, financial transactions are increasingly vulnerable to cyber threats, necessitating advanced security measures beyond traditional methods like encryption and firewalls. This study explores the potential of blockchain technology as a robust framework for enhancing cybersecurity protocols in financial transactions. The primary objective is to assess how blockchain’s decentralized, transparent, and cryptographic features can mitigate risks such as fraud, unauthorized access, and data breaches. Employing a quantitative experimental design, the study simulated financial transactions on a blockchain platform and analyzed historical data on security breaches. The results indicate that blockchain technology significantly improves data security, with a 98\% effectiveness rate in preventing and detecting breaches. However, challenges such as scalability, regulatory compliance, and high energy consumption were also identified. The findings suggest that while blockchain holds considerable promise for securing financial transactions, further innovation is necessary to address its limitations and fully leverage its capabilities in the financial sector.