BibTeX
@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
