The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Jurnal Teknologi Informasi dan Terapan (J-TIT) and Department of Information Technology, Politeknik Negeri Jember as publisher of the journal. This study results from the first fitness gene get the highest fitness 7.4, fitness lowest 5.6 and the second gene get the highest fitness 9.3, fitness lowest 5.6.Ĭopyright (c) 2019 Jurnal Teknologi Informasi Terapan (J-TIT) Based on the research, 5 road combinations are used as chip distribution routes used for testing. Through the software that was built, the determination of goods distribution lines is expected to be better and can optimize the time and cost of travel. Only the best chromosomes will be given as a result.
The result of processing is a combination of goods distribution lines to be taken which represent the solution to this problem. In the software that is built, there are several inputs needed, namely: cities destination distribution as the initial chromosome number, number of generations, crossover probability and probability of mutation.
The application of the genetic algorithm method is applied in software. Genetic algorithms that have reliability in producing optimal solutions can be used to solve this problem. To simplify the process of determining the goods distribution channel, it is supported by software development. The study was conducted to determine the distribution of goods so that the best solution is achieved. However, not all of these path distribution combinations will provide the best solution. Combination of good path distribution by land can optimize travel time and costs.
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