Article Per Year (5 Year)
p-Index From 2021 - 2026
1.475
P-Index
This Author published in this journals
All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Mandiri IT West Science Interdisciplinary Studies West Science Interdisciplinary Studies West Science Social and Humanities Studies NERO (Networking Engineering Research Operation) West Science Nature and Technology INTER TECH
Rifki Fahrial Zainal
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : West Science Nature and Technology

 1 
Modeling Carbon Trade with Satellite Approach and AI Technology: A Sustainable Solution for REDD+ Scheme in Indonesia Haryono, Haryono; Rahman, Arief; Zainal, Rifki Fahrial; Santoso, Bagus Teguh; Endarto, Budi
West Science Nature and Technology Vol. 3 No. 01 (2025): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v3i01.1804

Abstract

The increasing urgency to mitigate climate change has intensified the need for effective carbon trading mechanisms, particularly under the REDD+ scheme. This study explores the potential of integrating satellite technology, Geographic Information Systems (GIS), and Artificial Intelligence (AI) to develop a sustainable carbon trade model tailored to Indonesia’s unique environmental and policy landscape. The research focuses on deforestation hotspots in Kalimantan, Sumatra, and Papua, leveraging high-resolution satellite imagery and machine learning algorithms for precise carbon stock estimation. Results indicate significant deforestation trends, with an average annual loss of 1.2% of forest cover and 320 million metric tons of carbon over the past decade. AI-powered predictive models achieved 92% accuracy in identifying deforestation hotspots and estimating carbon stocks, underscoring their utility in enhancing Monitoring, Reporting, and Verification (MRV) systems. Policy analysis highlights critical gaps in enforcement and community participation. This study proposes a scalable and transparent carbon trade model that aligns with REDD+ objectives, fostering equitable and sustainable climate solutions for Indonesia.
Utilizing AI and Satellite Technology to Measure the Effectiveness of Carbon Trading in East Java Protected Forests Haryono, Haryono; Rahman, Arief; Zainal, Rifki Fahrial; Santoso, Bagus Teguh; Endarto, Budi
West Science Nature and Technology Vol. 3 No. 01 (2025): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v3i01.1805

Abstract

This study investigates the effectiveness of utilizing Artificial Intelligence (AI) and Geographic Information Systems (GIS) for measuring the impact of carbon trading initiatives on East Java's protected forests. The research integrates satellite imagery, AI-driven land-use classification, and carbon stock analysis to evaluate the environmental, economic, and social outcomes of these programs. Key findings indicate a significant reduction in deforestation and an increase in carbon sequestration, driven by targeted reforestation efforts and financial incentives from carbon trading. Socioeconomic benefits, including enhanced community livelihoods and reduced reliance on unsustainable practices, further underscore the program's success. However, challenges such as leakage effects and data inconsistencies highlight areas requiring improvement. The study concludes that advanced technologies, when effectively integrated, offer transformative potential for sustainable forest management and carbon trading efficacy in Indonesia.
Co-Authors Alim, Syariful Arief Rahman Arif Arizal, Arif Arif Djunaidy bagus teguh santoso, bagus teguh Budi Endarto Hamidah, Mas Nurul Haryono Haryono Rangsang Purnama Tias, Rahmawati Febrifyaning