DETERMINATION OF PRIORITY LOCATIONS FOR REDD+ PROJECTS TO REDUCE GHG EMISSIONS USING MULTI-CRITERIA DECISION MAKING (MCDM) METHODS (CASE STUDY: PRCF INDONESIA)
Indonesia is one of the countries with the highest greenhouse gas (GHG) emissions, reaching 1,228,721.13 Gg CO2e in 2022. The Indonesian government has sought to reduce emissions through the REDD+ mechanism, which aims to reduce deforestation and forest degradation while supporting conservation a...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/85308 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Indonesia is one of the countries with the highest greenhouse gas (GHG) emissions,
reaching 1,228,721.13 Gg CO2e in 2022. The Indonesian government has sought
to reduce emissions through the REDD+ mechanism, which aims to reduce
deforestation and forest degradation while supporting conservation and local
community welfare. This study aims to determine the priority locations for REDD+
projects using the Multi-Criteria Decision Making (MCDM) method, with criteria
such as ecosystem restoration, reforestation, carbon emission reduction, education
improvement, and species conservation. The evaluated alternatives include the
village forests of HDBB, HDNP, HDBT, HDPB, and HDBL. The MCDM methods
used include AHP, SAW, WPM, TOPSIS, and VIKOR. Additionally, the ranking
results from the MCDM methods are used as a dataset for classification using the
K-Nearest Neighbors (KNN) method, providing additional validation for the
consistency of the results. The study results show HDNP as the highest priority
location across all methods, followed by HDBB, HDPB, HDBL, and HDBT,
demonstrating the consistency of the MCDM approach in determining effective and
sustainable REDD+ project locations. |
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