
Determining Suitable Locations for Regional Waste Final Processing Site (WFP) Using the Simple Additive Weighting (SAW) (Case Study: Malang City and Malang Regency)
Author(s) -
Yanto Budisusanto,
Nurwatik Nurwatik,
Dani Ilham Zhaqdavyan
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/936/1/012041
Subject(s) - garbage , weighting , human settlement , municipal solid waste , local government area , geography , transport engineering , operations management , engineering , waste management , local government , medicine , archaeology , radiology
Garbage or waste is basically a residual material resulting from human activities and natural processes that have no economic value anymore. The volume of waste in Malang City and Malang Regency every year always increases, so the existing waste final processing site will no longer be able to accommodate the pile of garbage. Therefore the Malang City Government plans to collaborate with the Malang Regency Government in making an integrated regional waste landfill and processing site. In this study, an analysis of the determination of the appropriate location for regional waste final processing for Malang City and Malang Regency was carried out using the Simple Additive Weighting (SAW) method. The SAW method is a weighted summation method, which can make a more precise assessment, based on the predetermined criteria and preference weights. Preference weights were determined by pairwise comparison method. The criteria used are geological hazardous areas, distance from drinking water sources, land slope level, distance from settlements, protected areas and distance from airports. The final result in this study is a map of the appropriate location for a regional waste final processing site and an analysis of the location for the best regional final processing site. The location map is classified into three, namely: not feasible with a total area of 54,774.33 ha, less feasible with a total area of 170,846.49 ha and feasible with a total area of 130,096.63 ha.