| dc.description.abstract | In generally scheduling is done manually. This method has poor accuracy and a
schedule caused collisions. In the lecture and lab scheduling caused collision schedule
and teaching faculty, collision on the students schedule, a collision course with the
time in college lab, and the availability of sufficient class. In this research explain
about how the scheduling of lectures and practicums are scheduled by using Genetic
Algorithm. The Genetic algorithm is a heuristic search algorithm based on the
mechanism of natural selection which known biology evolution process. Genetic
algorithm is used to get an optimal schedule is the process of population initialization,
fitness evaluation, selection, crossover and mutation. The data of this research are
lecturers, subjects, class and time taken from the database of information technology
at University of North Sumatra. The data in advance through the process of genetic
algorithm to obtain the appropriate result. The results of this research is generates the
optimal schedule with the overall schedule of data subjects, faculty, classroom, day
and time. | en_US |
