Open AccessIMPLEMENTASI ALGORITMA GENETIKA UNTUK PENJADWALAN INSTRUKTUR TRAINING ICT UIN SUNAN KALIJAGA
Author(s) -
Niki Min Hidayati Robbi,
Nurochman Nurochman
Publication year - 2017
Publication title -
jiska (jurnal informatika sunan kalijaga)
Language(s) - English
Resource type - Journals
eISSN - 2528-0074
pISSN - 2527-5836
DOI - 10.14421/jiska.2017.13-04
Subject(s) - crossover , scheduling (production processes) , computer science , population , information and communications technology , genetic algorithm , mathematical optimization , operations research , artificial intelligence , machine learning , engineering , mathematics , demography , sociology , world wide web
ICT training instructor scheduling involves components such as the division of the day, sessions, classroom, and availability time of instructor which is different every day. One of the methods of artificial intelligence that is suitable for case scheduling is a Genetic Algorithm. Genetic algorithm succesfully impelemented for scheduling ICT training instructor with the parameter crossover probability (Pc) 0.4, the probability of mutation (Pm) 0.1, and the total population of 30 individuals. The best fitness value is 0.9523 with a 1 value error on constraint division of classrooms that weighs 0,05. Keywords: Genetic Algorithm, Scheduling