Timetabling is the appointing of an occasion to a specific timeslot in a timetable. Timetabling turns into an issue when the allocating task turns out to be difficult to be inferred where certain particular prerequisites should be satisfied. Genetic Algorithm (GA) develop as one mechanization timetabling strategy to take care of timetabling issue via seeking arrangement in multi-indicates and the capacity refine the current answer for a superior arrangement. Genetic algorithm is a metaheuristic that copies the method of natural selection. It might be performed in multiple different ways with different types but it will all follow the same concept. This research aims to create an artificial intelligence through the use of evolutionary algorithm, specifically genetic algorithm combined with adaptive and elitist traits that can generate a university schedule timetable with the goal of generating a valid and as optimal as possible solution with certain constraints.