IOP Conf. Series: Journal of Physics: Conf. Series 1007 (2018) 012039 doi :10.1088/1742-6596/1007/1/012039

Jum'at, 04 Mei 2018 12:58 | Sudah dibaca 959 kali

Final year project is very important forgraduation study of a student. Unfortunately, many students are not serious lydidtheir final projects. Many of studentsask for someone to do it for them. In this paper, an application of genetic algorithms to predict the original final year project of a studentis proposed. In the simulation, the data of the final project for the last 5 years is collected. The genetic algorithm has several operators namely population, selection, crossover, and mutation. The result suggest that genetic algorithm can do better prediction than other comparable model. Experimental results of predicting showed that 70% was more accurate than the previous researched.

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