{"title":"基于GIS - MCDA方法的印尼pangdeglang生物质预处理场地适宜性评价","authors":"A. Burhani, R. Wahyuono","doi":"10.1109/ISITIA59021.2023.10221061","DOIUrl":null,"url":null,"abstract":"The work at hand presents suitability assessment process for biomass pre-treatment location to support co-firing in coal power plant. Suitability assessment case study was carried out in an area of 50 km from Labuan Coal Power Plant area and considered environment, economic and social criteria as suitability factors using multi criteria decision analysis (MCDA) which included AHP-TOPSIS. The weighting criteria using AHP indicates that economic aspect, biomass potential and distance to road are most dominant factors as well as the land slope as environmental criteria. Alternatives were made to classify suitability rating using TOPSIS. The suitability map of biomass pre-treatment location was made using GIS software. The results reveal that 21,711 Ha (37.62%) is highly suitable, and 36,003 Ha (62.38%) is moderately suitable for biomass pretreatment location.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Biomass Pre-Treatment Site Suitability Assessment using GIS – MCDA Method in Pandeglang, Indonesia\",\"authors\":\"A. Burhani, R. Wahyuono\",\"doi\":\"10.1109/ISITIA59021.2023.10221061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The work at hand presents suitability assessment process for biomass pre-treatment location to support co-firing in coal power plant. Suitability assessment case study was carried out in an area of 50 km from Labuan Coal Power Plant area and considered environment, economic and social criteria as suitability factors using multi criteria decision analysis (MCDA) which included AHP-TOPSIS. The weighting criteria using AHP indicates that economic aspect, biomass potential and distance to road are most dominant factors as well as the land slope as environmental criteria. Alternatives were made to classify suitability rating using TOPSIS. The suitability map of biomass pre-treatment location was made using GIS software. The results reveal that 21,711 Ha (37.62%) is highly suitable, and 36,003 Ha (62.38%) is moderately suitable for biomass pretreatment location.\",\"PeriodicalId\":116682,\"journal\":{\"name\":\"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISITIA59021.2023.10221061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITIA59021.2023.10221061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Biomass Pre-Treatment Site Suitability Assessment using GIS – MCDA Method in Pandeglang, Indonesia
The work at hand presents suitability assessment process for biomass pre-treatment location to support co-firing in coal power plant. Suitability assessment case study was carried out in an area of 50 km from Labuan Coal Power Plant area and considered environment, economic and social criteria as suitability factors using multi criteria decision analysis (MCDA) which included AHP-TOPSIS. The weighting criteria using AHP indicates that economic aspect, biomass potential and distance to road are most dominant factors as well as the land slope as environmental criteria. Alternatives were made to classify suitability rating using TOPSIS. The suitability map of biomass pre-treatment location was made using GIS software. The results reveal that 21,711 Ha (37.62%) is highly suitable, and 36,003 Ha (62.38%) is moderately suitable for biomass pretreatment location.
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