Model Dynamic Facility Location in Post-Disaster Areas in Uncertainty

lili Tanti; Syahril Efendi; Maya Silvi Lydia; Herman Mawengkang

doi:10.30812/matrik.v22i1.2095

lili Tanti Universitas Potensi Utama,Medan, Indonesia
Syahril Efendi Sumatera Utara University, Medan, Indonesia
Maya Silvi Lydia Sumatera Utara University, Medan, Indonesia
Herman Mawengkang Sumatera Utara University, Medan, Indonesia

DOI: https://doi.org/10.30812/matrik.v22i1.2095

Abstract

Indonesia has many disaster-prone areas, natural disasters that occur in Indonesia in 2021 are 5,402 disasters. For disaster management in post-disaster areas, logistical planning is needed in the distribution of logistical assistance, it is estimated that the logistics costs of disaster assistance reach approximately 80% of the total costs in disaster management so that logistical assistance is an expensive activity of disaster relief. However, so far the process of distributing logistical assistance to disaster posts has not been evenly distributed. One of the causes of the unequal distribution is the inappropriate selection of distribution post locations. The facility location model is dynamic and has the objective function of minimizing the distance between emergency posts and refugee posts in terms of distribution of disaster relief goods in one cluster group. For grouping unsupervised learning data using a machine learning clustering algorithm, k-means. Model validation has been carried out using max run and max optimization 1000 times with results reaching 90%. This proves that the emergency facility location model can be used to determine the location of the emergency center, where the determination of the location of the emergency center has the closest distance to the request point/post shelter for disaster victims

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