@thesis{thesis,
		author={GUSTI  DANI ARIANTO},
		title ={OPTIMASI PENJADWALAN KEGIATAN BELAJAR MENGAJAR MENGGUNAKAN ALGORITMA GENETIKA
(STUDI KASUS : SMKN 8 MALANG)},
		year={2017},
		url={http://repository.stiki.ac.id/350/},
		abstract={Keywords : scheduling optimization,  artificial intelligent, genetic algorithms.

Artificial Intelligent an artificial intelligence engine that resembles the behavior performed by human beings, one of the methods contained in Artificial Intelligent is a method of genetic algorithms. Genetic algorithm is a search technique with a variety of data is done by generating a number of solutions or known as a population. It is also experienced by SMKN 8 Malang, where data subjects each semester is always diverse and generates quite a lot of data, taking into account the time and diverse class to establish a time schedule of teaching with the best combination. In using a genetic algorithm method must first obtain an initial population that its future will be calculated fitness value. If you already generated a fitness value, then do the formation of a new population or the new generation with the calculation of 20% elitism, 70% crossover (crossover), 10% mutation, the process will be conducted to find the fitness value of 1 or fitness value converges. If it had been obtained by the calculation, the time resource scheduling process has been completed.}
		}