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 (C
₁
), population served (C
₂
), percentage of monthly non-food expenditure (C
₃
), distance from existing e-waste dismantling and sorting facility (C
₄
), average house per unit (C
₅
), unemployed population (C
₆
), financial status of local population (C
₇
), and distance from the nearest port (C
₈
). Data of eight criteria then were ranked based on the objective function of each criterion, which were maximizing function (C
₁
, C
₂
, C
₃
, C
₄
, C
₆
) and minimize function (C
₅
, C
₇
, C
₈
). 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.