NIKI MIN HIDAYATI ROBBI, NIM. 12650008 (2016) IMPLEMENTASI ALGORITMA GENETIKA UNTUK PENJADWALAN INSTRUKTUR TRAINING ICT DI UIN SUNAN KALIJAGA. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.
|
Text (IMPLEMENTASI ALGORITMA GENETIKA UNTUK PENJADWALAN INSTRUKTUR TRAINING ICT DI UIN SUNAN KALIJAGA)
12650008_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf Download (1MB) | Preview |
|
![[img]](https://digilib.uin-suka.ac.id/style/images/fileicons/text.png) |
Text (IMPLEMENTASI ALGORITMA GENETIKA UNTUK PENJADWALAN INSTRUKTUR TRAINING ICT DI UIN SUNAN KALIJAGA)
12650008_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf Restricted to Registered users only Download (1MB) |
Abstract
ICT training activities in UIN Sunan Kalijaga lasted for five days a week with three sessions per day. 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. Meanwhile this scheduling instructor for the training of ICT is still done manually by the complexity of the components and rules. Therefor developing a mechanism of scheduling for Training ICT is needed. One of the methods of artificial intelligence that is suitable for case scheduling is a Genetic Algorithm. Components of scheduling are representated by floating point representation of chromosomes. ICT scheduling rules serve as a constraint to calculate the fitness value is as much as six constraints with weights according to their priority. Getting the best solution means to find a chromosome that have a fitness value close to 1. Chromosomes are randomly set then they will be selected and reproduced by crossover and mutation until the best chromosome found. 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.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | Nurochman M.Kom |
| Uncontrolled Keywords: | Genetic Algorithm, Scheduling |
| Subjects: | Tehnik Informatika |
| Divisions: | Fakultas Sains dan Teknologi > Teknik Informatika (S1) |
| Depositing User: | Miftahul Ulum [IT Staff] |
| Date Deposited: | 03 Aug 2016 11:16 |
| Last Modified: | 03 Aug 2016 11:16 |
| URI: | http://digilib.uin-suka.ac.id/id/eprint/21302 |
Share this knowledge with your friends :
Actions (login required)
 |
View Item |
