OPTIMIZATION MODEL IN VACCINATION OF DENGUE HEMMORHAGIC FEVER
Dengue Hemmorhagic Fever is a dangerous disease to humans caused by dengue virus. The spread of the disease is formulated into a differential equation SIRV, which is a modification of the Susceptible-Infected-Recovered (SIR) model with the adding a vaccination factor. In this model, the mosquito as...
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id-itb.:164302017-09-27T11:42:59ZOPTIMIZATION MODEL IN VACCINATION OF DENGUE HEMMORHAGIC FEVER YUNIKA SARI (NIM : 10108039); Pembimbing : Dr. Nuning Nuraini, MERYDA Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/16430 Dengue Hemmorhagic Fever is a dangerous disease to humans caused by dengue virus. The spread of the disease is formulated into a differential equation SIRV, which is a modification of the Susceptible-Infected-Recovered (SIR) model with the adding a vaccination factor. In this model, the mosquito as the intermediary variables is also added. Beside preventing the spread of the disease, many people doing research to find a vaccine for the prevention of endemic. Usually, the government allocate limited of funds to solve this problem, therefore optimization methods are <br /> <br /> <br /> <br /> <br /> <br /> <br /> needed to determine the minimum cost to give vaccine for the people. The optimization method is formulated in the objective function, as cost function. The model is a quadratic equation with a the number of epidemic in a population as a constrains. <br /> <br /> <br /> <br /> <br /> <br /> <br /> The solution of this problem is obtained by combining Runge Kutta orde 4 and the genetic algorithm methods. The value of minimum cost function will be analyzed to get the proper vaccination proportion to solve this problem. text |
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Dengue Hemmorhagic Fever is a dangerous disease to humans caused by dengue virus. The spread of the disease is formulated into a differential equation SIRV, which is a modification of the Susceptible-Infected-Recovered (SIR) model with the adding a vaccination factor. In this model, the mosquito as the intermediary variables is also added. Beside preventing the spread of the disease, many people doing research to find a vaccine for the prevention of endemic. Usually, the government allocate limited of funds to solve this problem, therefore optimization methods are <br />
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needed to determine the minimum cost to give vaccine for the people. The optimization method is formulated in the objective function, as cost function. The model is a quadratic equation with a the number of epidemic in a population as a constrains. <br />
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The solution of this problem is obtained by combining Runge Kutta orde 4 and the genetic algorithm methods. The value of minimum cost function will be analyzed to get the proper vaccination proportion to solve this problem. |
format |
Final Project |
author |
YUNIKA SARI (NIM : 10108039); Pembimbing : Dr. Nuning Nuraini, MERYDA |
spellingShingle |
YUNIKA SARI (NIM : 10108039); Pembimbing : Dr. Nuning Nuraini, MERYDA OPTIMIZATION MODEL IN VACCINATION OF DENGUE HEMMORHAGIC FEVER |
author_facet |
YUNIKA SARI (NIM : 10108039); Pembimbing : Dr. Nuning Nuraini, MERYDA |
author_sort |
YUNIKA SARI (NIM : 10108039); Pembimbing : Dr. Nuning Nuraini, MERYDA |
title |
OPTIMIZATION MODEL IN VACCINATION OF DENGUE HEMMORHAGIC FEVER |
title_short |
OPTIMIZATION MODEL IN VACCINATION OF DENGUE HEMMORHAGIC FEVER |
title_full |
OPTIMIZATION MODEL IN VACCINATION OF DENGUE HEMMORHAGIC FEVER |
title_fullStr |
OPTIMIZATION MODEL IN VACCINATION OF DENGUE HEMMORHAGIC FEVER |
title_full_unstemmed |
OPTIMIZATION MODEL IN VACCINATION OF DENGUE HEMMORHAGIC FEVER |
title_sort |
optimization model in vaccination of dengue hemmorhagic fever |
url |
https://digilib.itb.ac.id/gdl/view/16430 |
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