Application Deep Ant Colony Optimization Algorithm Determine Track Shortest Distribution Vaccination In Deli Serdang Regency

Authors

  • Eko Wahyudi Panca Budi Development University
  • Zulham Sitorus Panca Budi Development University

DOI:

https://doi.org/10.37826/icmc.v3i.465

Keywords:

Covid 19, Distribution Vaccines, Ant Colony Optimization, Routes shortest

Abstract

Covid-19 is an infectious disease caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-Cov-2) virus, where clinical manifestations that appear in this infection include: symptoms of acute respiratory distress such as fever, cough and shortness of breath. Because one of the several areas recorded as a red zone and the most confirmed cases of Covid-19 with 2nd place in North Sumatra is Deli Serdang Regency with 15,750 confirmed cases of Covid 19 and 410 deaths. Then in the distribution of the Covid 19 Vaccine the Central Government and Regional Governments are responsible for the distribution of the Covid 19 Vaccine. These problems require optimizing the shortest route in vaccine distribution aimed at optimizing fuel, maintaining quality vaccines and vaccine effectiveness during the vaccine distribution journey to the destination. In this study used the shortest route scheduling with Ant Colony Optimization that exists results from calculation with Ant Colony Optimization yields route shortest For distribute vaccine to Public health center that is with totals for each _ journey with distance travel 127.4 Km / day And consumption material burn of 63.7 L.

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Published

2023-04-12