Lilik Sulistyowati, Faris Daffa, Annisa Dzulfiqar, Dira Hariyanto Nuryantiningsih, Firman Pusporini, Novi Afrianto, Andareswari
{"title":"将多标准评价技术与地理信息系统结合用于垃圾填埋场选址:印度尼西亚巴图市案例研究","authors":"Lilik Sulistyowati, Faris Daffa, Annisa Dzulfiqar, Dira Hariyanto Nuryantiningsih, Firman Pusporini, Novi Afrianto, Andareswari","doi":"10.20900/jsr20240017","DOIUrl":null,"url":null,"abstract":"The amount of waste produced is rising in line with the world’s population growth. Landfill formation and utilization have increased as a result of this exponential increase in waste generation, particularly in Indonesia. Batu City Indonesia has a high population growth accompanied by the development of commercial and tourism activities. This dynamic causes an increase in waste generation from both domestic and non-domestic waste. Therefore, the addition of a new waste cell is an urgency. The expansion of the landfill waste cell is difficult because the existing landfill site is very close to residential areas. This research aims to identify and formulate alternative locations for landfill development in Batu City. To achieve this goal, analytical hierarchy process (AHP) and K-means clustering were used with the utilization of GIS tools. The AHP process that uses various factors to determine the location of landfill has produced a consistency value of 0.0224 (the analysis results are reliable). The alternatives generated from AHP are landfill feasible locations located in Giripurno, Pandanrejo, Bumiaji, Bulukerto, Sumbergondo, Sumber Brantas, Tulungrejo, Punten, Gunungsari, Songgokerto, Pesanggrahan, and Oro-oro Ombo villages. In the final stage, the K-means clustering analysis produced 5 clusters with the priority cluster located in cluster 1, located in the villages of Bumiaji, Pandanrejo, Giripurno, and Bulukerto.","PeriodicalId":275909,"journal":{"name":"Journal of Sustainability Research","volume":"118 16","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrating Multi-Criteria Evaluation Techniques with Geographic Information Systems for Landfill Site Selection: A Case Study in Batu City Indonesia\",\"authors\":\"Lilik Sulistyowati, Faris Daffa, Annisa Dzulfiqar, Dira Hariyanto Nuryantiningsih, Firman Pusporini, Novi Afrianto, Andareswari\",\"doi\":\"10.20900/jsr20240017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The amount of waste produced is rising in line with the world’s population growth. Landfill formation and utilization have increased as a result of this exponential increase in waste generation, particularly in Indonesia. Batu City Indonesia has a high population growth accompanied by the development of commercial and tourism activities. This dynamic causes an increase in waste generation from both domestic and non-domestic waste. Therefore, the addition of a new waste cell is an urgency. The expansion of the landfill waste cell is difficult because the existing landfill site is very close to residential areas. This research aims to identify and formulate alternative locations for landfill development in Batu City. To achieve this goal, analytical hierarchy process (AHP) and K-means clustering were used with the utilization of GIS tools. The AHP process that uses various factors to determine the location of landfill has produced a consistency value of 0.0224 (the analysis results are reliable). The alternatives generated from AHP are landfill feasible locations located in Giripurno, Pandanrejo, Bumiaji, Bulukerto, Sumbergondo, Sumber Brantas, Tulungrejo, Punten, Gunungsari, Songgokerto, Pesanggrahan, and Oro-oro Ombo villages. In the final stage, the K-means clustering analysis produced 5 clusters with the priority cluster located in cluster 1, located in the villages of Bumiaji, Pandanrejo, Giripurno, and Bulukerto.\",\"PeriodicalId\":275909,\"journal\":{\"name\":\"Journal of Sustainability Research\",\"volume\":\"118 16\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sustainability Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20900/jsr20240017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sustainability Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20900/jsr20240017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrating Multi-Criteria Evaluation Techniques with Geographic Information Systems for Landfill Site Selection: A Case Study in Batu City Indonesia
The amount of waste produced is rising in line with the world’s population growth. Landfill formation and utilization have increased as a result of this exponential increase in waste generation, particularly in Indonesia. Batu City Indonesia has a high population growth accompanied by the development of commercial and tourism activities. This dynamic causes an increase in waste generation from both domestic and non-domestic waste. Therefore, the addition of a new waste cell is an urgency. The expansion of the landfill waste cell is difficult because the existing landfill site is very close to residential areas. This research aims to identify and formulate alternative locations for landfill development in Batu City. To achieve this goal, analytical hierarchy process (AHP) and K-means clustering were used with the utilization of GIS tools. The AHP process that uses various factors to determine the location of landfill has produced a consistency value of 0.0224 (the analysis results are reliable). The alternatives generated from AHP are landfill feasible locations located in Giripurno, Pandanrejo, Bumiaji, Bulukerto, Sumbergondo, Sumber Brantas, Tulungrejo, Punten, Gunungsari, Songgokerto, Pesanggrahan, and Oro-oro Ombo villages. In the final stage, the K-means clustering analysis produced 5 clusters with the priority cluster located in cluster 1, located in the villages of Bumiaji, Pandanrejo, Giripurno, and Bulukerto.