DETERMINING DISASTER LOGISTICS CENTER IN WEST JAVA PROVINCE USING VORONOI DIAGRAM AND K-MEANS ALGORITHM
Indonesia is an archipelago with a high vulnerability to various types of disasters, both natural and non-natural. The province of West Java, in particular, faces threats from hydrometeorological disasters such as floods, landslides, and earthquakes due to its location in an active tectonic zone....
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id-itb.:845962024-08-16T09:34:14ZDETERMINING DISASTER LOGISTICS CENTER IN WEST JAVA PROVINCE USING VORONOI DIAGRAM AND K-MEANS ALGORITHM Nafia, Isya Indonesia Theses Distribution Center, Disaster Logistics, Voronoi, K-Means INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/84596 Indonesia is an archipelago with a high vulnerability to various types of disasters, both natural and non-natural. The province of West Java, in particular, faces threats from hydrometeorological disasters such as floods, landslides, and earthquakes due to its location in an active tectonic zone. Effective disaster management, especially in providing aid to victims, requires proper management, including a Logistics Center establishment. Where should the Logistics Center be located to monitor the districts and cities in West Java? To answer this question, research was conducted to determine the optimal locations for disaster logistics centers in West Java, aiming to optimize aid distribution. The methodology used includes the Voronoi Diagram model and the K-means algorithm. The Voronoi Diagram focuses on determining the coverage area of each disaster logistics center. This technique divides space into regions based on the closest distance to certain points known as sites or generators. Meanwhile, the K- means algorithm focuses on determining the optimal centroid locations of the clusters of disaster logistics centers, grouping data into K clusters based on similar attributes. The process begins with randomly selecting initial centroids and then iteratively refining their locations to obtain compact and well-separated clusters. This study evaluated 27 cities/districts in West Java using population data and disaster package requirements, including food, clothing, other logistics, and fatalities. Different aid distribution scenarios were designed, considering a combination of storage warehouses and Vendor management inventorys (VMI). The analysis results show that the scenario with five logistics centers located in Bandung City, Bogor Regency, Tasikmalaya Regency, Cirebon Regency, and Karawang Regency is the most effective. These logistics centers combine main warehouses, intermediate warehouses, and VMI at strategic locations. text |
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Indonesia is an archipelago with a high vulnerability to various types of disasters,
both natural and non-natural. The province of West Java, in particular, faces
threats from hydrometeorological disasters such as floods, landslides, and
earthquakes due to its location in an active tectonic zone. Effective disaster
management, especially in providing aid to victims, requires proper management,
including a Logistics Center establishment. Where should the Logistics Center be
located to monitor the districts and cities in West Java? To answer this question,
research was conducted to determine the optimal locations for disaster logistics
centers in West Java, aiming to optimize aid distribution.
The methodology used includes the Voronoi Diagram model and the K-means
algorithm. The Voronoi Diagram focuses on determining the coverage area of each
disaster logistics center. This technique divides space into regions based on the
closest distance to certain points known as sites or generators. Meanwhile, the K-
means algorithm focuses on determining the optimal centroid locations of the
clusters of disaster logistics centers, grouping data into K clusters based on similar
attributes. The process begins with randomly selecting initial centroids and then
iteratively refining their locations to obtain compact and well-separated clusters.
This study evaluated 27 cities/districts in West Java using population data and
disaster package requirements, including food, clothing, other logistics, and
fatalities. Different aid distribution scenarios were designed, considering a
combination of storage warehouses and Vendor management inventorys (VMI).
The analysis results show that the scenario with five logistics centers located in
Bandung City, Bogor Regency, Tasikmalaya Regency, Cirebon Regency, and
Karawang Regency is the most effective. These logistics centers combine main
warehouses, intermediate warehouses, and VMI at strategic locations.
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Nafia, Isya |
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Nafia, Isya DETERMINING DISASTER LOGISTICS CENTER IN WEST JAVA PROVINCE USING VORONOI DIAGRAM AND K-MEANS ALGORITHM |
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Nafia, Isya |
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Nafia, Isya |
title |
DETERMINING DISASTER LOGISTICS CENTER IN WEST JAVA PROVINCE USING VORONOI DIAGRAM AND K-MEANS ALGORITHM |
title_short |
DETERMINING DISASTER LOGISTICS CENTER IN WEST JAVA PROVINCE USING VORONOI DIAGRAM AND K-MEANS ALGORITHM |
title_full |
DETERMINING DISASTER LOGISTICS CENTER IN WEST JAVA PROVINCE USING VORONOI DIAGRAM AND K-MEANS ALGORITHM |
title_fullStr |
DETERMINING DISASTER LOGISTICS CENTER IN WEST JAVA PROVINCE USING VORONOI DIAGRAM AND K-MEANS ALGORITHM |
title_full_unstemmed |
DETERMINING DISASTER LOGISTICS CENTER IN WEST JAVA PROVINCE USING VORONOI DIAGRAM AND K-MEANS ALGORITHM |
title_sort |
determining disaster logistics center in west java province using voronoi diagram and k-means algorithm |
url |
https://digilib.itb.ac.id/gdl/view/84596 |
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