Model Dynamic Facility Location in Post-Disaster Areas in Uncertainty

  • 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


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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How to Cite
Tanti, lili, Efendi, S., Lydia, M., & Mawengkang, H. (2022). Model Dynamic Facility Location in Post-Disaster Areas in Uncertainty. MATRIK : Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 22(1), 105-116.