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All Journal Environmental and Materials Leuser Journal of Environmental Studies
Yumnaristya, Syefiara Hania
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Earth & Planetary Sciences Energy Engineering Environmental Science Physics Other

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Spatial and temporal study of estimating carbon stocks distribution of mangrove forest in coastal area of Teluknaga, Tangerang Yumnaristya, Syefiara Hania; Indra, Tito Latif; Supriatna; Pin, Tjiong Giok; Gracia, Enrico
Environmental and Materials Vol. 1 No. 2: (December) 2023
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/eam.v1i2.2023.270

Abstract

Coastal mangrove forests play a crucial role in balancing carbon emissions in the atmosphere as they are a significant carbon store. Previous studies have shown that mangroves can absorb carbon four times more efficiently than terrestrial tropical forests. Unfortunately, the massive development and land use changes in Teluknaga District's coastal areas threaten these ecosystems' existence. To address this concern, efforts are being made to increase conservation, including estimating carbon stock. The aim of this study is to analyze the spatial distribution of biomass and carbon stock of mangrove forests in Teluknaga between 2016-2022 based on vegetation indices such as ARVI, EVI, and SAVI. Sentinel-2 was calculated into ARVI, EVI, and SAVI vegetation indices to model biomass. Statistical correlation analysis was also used to determine the best vegetation index to model biomass in the coastal area of Teluknaga District. This study found that the ARVI vegetation index had the best correlation (R = 0.60) for modeling biomass, with an RMSE value of 36.67 kg/pixel. Most mangrove forests in the coastal area of Teluknaga District showed an increase in biomass and carbon stock between 2016-2022, with significant growth in Muara and Lemo villages' mangrove forests, which is in line with an increase in the area and density of mangrove forests.
Optimizing Potential Supply Chain of Biomass Agricultural Waste for Co-firing of Coal Power Plant Using MCDA, GIS, and Linear Programming in the Java and Sumatra Islands, Indonesia Ahmudi, Ali; Hudaya, Chairul; Garniwa, Iwa; Amraini, Said Zul; Sugiyono, Agus; Semedi, Jarot Mulyo; Sidqi, M. Ahsin; Daulay, Andini Dwi Khairunnisa; Yumnaristya, Syefiara Hania
Leuser Journal of Environmental Studies Vol. 3 No. 1 (2025): April 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v3i1.249

Abstract

The development of renewable energy is a key priority for the Indonesian government and many other nations. Utilizing biomass as a co-firing fuel in coal-fired power plants (PLTUs) offers a viable pathway to meet renewable energy targets in the electricity sector. Co-firing technology involves substituting coal with biomass at specific ratios while maintaining the operational quality and efficiency of the power plants. Indonesia plans to implement a co-firing program in 114 PLTUs, with a combined capacity of 18.1 GW, requiring approximately 9 million tons of biomass annually. This study aims to develop a biomass supply chain model for co-firing, focusing on transportation cost optimization. Geographic Information Systems (GIS), Multi-Criteria Decision Analysis (MCDA), and Linear Programming are employed to map biomass potential from agricultural waste, identify optimal storage and factory locations, calculate the shortest distances to PLTUs, and design an efficient supply chain. Key biomass sources considered include agricultural waste from rice, corn, cassava, palm oil, coconut, sugarcane, and rubber. The study concentrates on co-firing in the Java and Sumatra regions, which house 14 and 12 PLTUs, respectively. Assuming a 5% biomass mix, the total annual bio-pellet demand is estimated at 3.34 million tons. By contrast, the annual production capacity of bio-pellets is calculated to be 143.58 million tons, indicating a surplus supply. Optimization results confirm that the available biomass supply can adequately meet the co-firing requirements for PLTUs in Java and Sumatra. The study also identifies optimal locations for storage facilities and bio-pellet factories near PLTU sites, enhancing supply chain efficiency. By integrating data on biomass potential, storage, factory, and PLTU locations, this research facilitates the design of an effective and efficient biomass supply chain, contributing to the broader goal of renewable energy development.
Co-Authors Agus Sugiyono Ahmudi, Ali Daulay, Andini Dwi Khairunnisa Gracia, Enrico Hudaya, Chairul Iwa Garniwa Pin, Tjiong Giok Semedi, Jarot Mulyo Sidqi, M. Ahsin Supriatna Tito Latif Indra