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Integrating AHP, Cluster Analysis, and Fuzzy TOPSIS to Evaluate Emergency Warehouse Locations of Mount Merapi Eruption Victims
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@article{IJASEIT6923, author = {Diana Puspita Sari and Purnawan Adi Wicaksono and Naniek Utami Handayani and Yessica Efirani Siahaan}, title = {Integrating AHP, Cluster Analysis, and Fuzzy TOPSIS to Evaluate Emergency Warehouse Locations of Mount Merapi Eruption Victims}, journal = {International Journal on Advanced Science, Engineering and Information Technology}, volume = {10}, number = {5}, year = {2020}, pages = {1839--1845}, keywords = {logistics warehouse; volcanic disaster; cluster analysis; MCDM.}, abstract = {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.}, issn = {2088-5334}, publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development}, url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6923}, doi = {10.18517/ijaseit.10.5.6923} }
EndNote
%A Sari, Diana Puspita %A Wicaksono, Purnawan Adi %A Handayani, Naniek Utami %A Siahaan, Yessica Efirani %D 2020 %T Integrating AHP, Cluster Analysis, and Fuzzy TOPSIS to Evaluate Emergency Warehouse Locations of Mount Merapi Eruption Victims %B 2020 %9 logistics warehouse; volcanic disaster; cluster analysis; MCDM. %! Integrating AHP, Cluster Analysis, and Fuzzy TOPSIS to Evaluate Emergency Warehouse Locations of Mount Merapi Eruption Victims %K logistics warehouse; volcanic disaster; cluster analysis; MCDM. %X 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. %U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6923 %R doi:10.18517/ijaseit.10.5.6923 %J International Journal on Advanced Science, Engineering and Information Technology %V 10 %N 5 %@ 2088-5334
IEEE
Diana Puspita Sari,Purnawan Adi Wicaksono,Naniek Utami Handayani and Yessica Efirani Siahaan,"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, pp. 1839-1845, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.5.6923.
RefMan/ProCite (RIS)
TY - JOUR AU - Sari, Diana Puspita AU - Wicaksono, Purnawan Adi AU - Handayani, Naniek Utami AU - Siahaan, Yessica Efirani PY - 2020 TI - Integrating AHP, Cluster Analysis, and Fuzzy TOPSIS to Evaluate Emergency Warehouse Locations of Mount Merapi Eruption Victims JF - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 5 Y2 - 2020 SP - 1839 EP - 1845 SN - 2088-5334 PB - INSIGHT - Indonesian Society for Knowledge and Human Development KW - logistics warehouse; volcanic disaster; cluster analysis; MCDM. N2 - 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. UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6923 DO - 10.18517/ijaseit.10.5.6923
RefWorks
RT Journal Article ID 6923 A1 Sari, Diana Puspita A1 Wicaksono, Purnawan Adi A1 Handayani, Naniek Utami A1 Siahaan, Yessica Efirani T1 Integrating AHP, Cluster Analysis, and Fuzzy TOPSIS to Evaluate Emergency Warehouse Locations of Mount Merapi Eruption Victims JF International Journal on Advanced Science, Engineering and Information Technology VO 10 IS 5 YR 2020 SP 1839 OP 1845 SN 2088-5334 PB INSIGHT - Indonesian Society for Knowledge and Human Development K1 logistics warehouse; volcanic disaster; cluster analysis; MCDM. AB 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. LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6923 DO - 10.18517/ijaseit.10.5.6923