Comparison Of Optimization Of Algorithm Particle Swarm Optimization And Genetic Algorithm With Neural Network Algorithm For Legislative Election Result

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  • 24 Apr
  • 2019

Comparison Of Optimization Of Algorithm Particle Swarm Optimization And Genetic Algorithm With Neural Network Algorithm For Legislative Election Result

An Election is one of the characteristics of a country that uses the democratic system. One of the countries that embrace democratic system is the country of Indonesia. Elections or commonly called the democratic party held in Indonesia aims to choose the leadership of both the President and Vice President, members of the House of Representatives, Regional Representatives Council level one and level II, and the Regional Representatives Council. Research relating to the election had been conducted by researchers is using decision tree method or by using a neural network. The method used was limited without doing optimization method for the algorithm. In this study, researchers will conduct research focusing on the optimization using genetic algorithm optimization and particle swarm optimization algorithm with the aid of neural network algorithms. After testing the two models of neural network algorithms and genetic algorithms are the results obtained by the neural network algorithm optimization particle swarm optimization algorithm accuracy value amounted to 98.85% and the AUC value of 0.996. While the neural network algorithm with genetic algorithm optimization accuracy values of 93.03% and AUC value of 0.971.

Unduhan

 

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