Multicriteria decision analysis for optimizing site selection of electronic and electricity equipment waste dismantling and sorting facility (Case study: In Indonesia, using AHP)

E-waste management involves the selection of e-waste location of dismantling and sorting facility (DSF). Unfortunately, Indonesia, at present, has no disposal sites. Site selection decision complexity involves a lot of criteria to filter the various alternative locations. As the initial step, the aims of this study is to select the optimal location of DSF in Indonesia using multi-criteria decision analysis. In this case, Analytic Hierarchy Process (AHP) model was applied. Eight criteria were selected to choose the optimal location, e.g. local population (C₁), population served (C₂), percentage of monthly non-food expenditure (C₃), distance from existing e-waste dismantling and sorting facility (C₄), average house per unit (C₅), unemployed population (C₆), financial status of local population (C₇), and distance from the nearest port (C₈). Data of eight criteria then were ranked based on the objective function of each criterion, which were maximizing function (C₁, C₂, C₃, C₄, C₆) and minimize function (C₅, C₇, C₈). The results of those ranking then summed based on the weight resulted from AHP, and finally generated five main alternatives in selecting e-waste DSF. Based on this model, West Java was selected as the optimal location of e-waste DSF. West Java is one of the most populated provinces in Indonesia and located near the capital city of Indonesia.