Integrating AHP, Cluster Analysis, and Fuzzy TOPSIS to Evaluate Emergency Warehouse Locations of Mount Merapi Eruption Victims

Diana Puspita Sari (1), Purnawan Adi Wicaksono (2), Naniek Utami Handayani (3), Yessica Efirani Siahaan (4)
(1) Industrial Engineering Department, Diponegoro University, Semarang, 50275, Indonesia
(2) Industrial Engineering Department, Diponegoro University, Semarang, 50275, Indonesia
(3) Industrial Engineering Department, Diponegoro University, Semarang, 50275, Indonesia
(4) Industrial Engineering Department, Diponegoro University, Semarang, 50275, Indonesia
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How to cite (IJASEIT) :
Sari, Diana Puspita, et al. “Integrating AHP, Cluster Analysis, and Fuzzy TOPSIS to Evaluate Emergency Warehouse Locations of Mount Merapi Eruption Victims”. International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 5, Oct. 2020, pp. 1839-45, doi:10.18517/ijaseit.10.5.6923.
This paper discusses using a multi-criteria decision model (MCDM) to determine a logistics warehouse location for humanitarian aid. This study concerns the volcanic disaster that occurred in Sleman Regency, Indonesia, in 2010. When this disaster occurred, the location for the logistics warehouse was still based on the closest distance with road access. Since it was located without considering several criteria, delivery to victims was not optimal and faced many obstacles. In this study, MCDM is applied using analytic hierarchy process (AHP) and Fuzzy TOPSIS (a technique for the order of preference by similarity to the ideal solution); AHP is used to generate selection criteria and sub-criteria based on expert opinion, while Fuzzy TOPSIS is used to identify the best option among potential locations based on these criteria and subcriteria. This study also uses cluster analysis to determine potential emergency warehouse locations in each operational area based on distance and the number of refugees. Seven criteria and 17 subcriteria were identified to determine the location of the emergency warehouse. In this case, the criteria and subcriteria with the highest weights were both delivery time. Based on the weight of the criteria and subcriteria and the cluster analysis, four potential warehouse locations were identified in the following priority order: Sukoharjo, Sidokerto, Tamanmartani, and Wedomartani.

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