Abstract
Scheduling lectures at academic institutions especially the Faculty of Engineering and Information Technology General Achmad Yani University Yogyakarta is still done semi-manually with the help of Microsoft Excel and takes days to determine the days and space and hours of lectures, while in making schedules must be done optimally and fast because the schedule will be used for lecture activities each semester. In preparing lecture scheduling, it can be done by applying methods that are often used. One of them is using a genetic algorithm which is one of the right algorithms to solve complex search and optimization problems. Genetic algorithms can find the best solution from a broad set of candidates and have many optimum points. In other words, genetic algorithms provide solutions to scheduling problems to minimize collision schedules with coding stages, determine initial population values, determine chromosome values at random, determine fitness values for minimize the broken schedule, then select the roulette wheel, cross-move one-point crossover, then perform value coding mutations. This research is expected to be able to contribute knowledge about the application of genetic algorithms to overcome problems in the scheduling field
Highlights
Penjadwalan perkuliahan pada instansi akademik khususnya Fakultas Teknik dan Teknologi Informasi Universitas Jenderal Achmad Yani Yogyakarta masih dilakukan secara semi-manual dengan bantuan Microsoft excel dan membutuhkan waktu berhari-hari untuk menentukan hari dan ruang serta jam perkuliahan, sedangkan dalam membuat jadwal harus dilakukan dengan optimal dan cepat dikarenakan jadwal akan dipergunakan untuk kegiatan perkuliahan tiap semesternya
because the schedule will be used for lecture activities each semester
it can be done by applying methods
Summary
Pada tabel 1 tersebut merupakan data dosen yang berhomebase pada prodi informatika. Untuk dosen lainnya yang berhomebase pada prodi lainnya yaitu prodi S1 Sistem Informasi, prodi S1 Teknologi Informasi, Prodi D3 Sistem informasi juga mengajar pada prodi S1 Informatika sehingga data total dosen yang mengajar sebanyak 21 orang dosen dengan rumpun keilmuan sesuai dengan bidang prodi. Sedangkan untuk data matakuliah yang berjalan pada semester ganjil 2018/2019 sebanyak 25 matakuliah seperti terlihat pada tabel 2
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