OPTIMASI SISTEM PENJADWALAN PIKET HARIAN DI PUSKESMAS TAMBAN MENGGUNAKAN ALGORITMA GENETIKA

Khusairi Abdy, NIM.: 16650026 (2020) OPTIMASI SISTEM PENJADWALAN PIKET HARIAN DI PUSKESMAS TAMBAN MENGGUNAKAN ALGORITMA GENETIKA. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Tamban Public Health applies daily pickets for each employee to ensure the comfort of the community if there is a problem about their health at any time. The problem with this is if the schedule is made manually, the officer requires a lot of time and the level of the problem is very high because the schedule must require some constraints set by the Public Health itself. Therefore, a daily picket scheduling system was built that applied genetic methods to solve the problems that were solved and made it easier for officers to prepare their schedules every month. Based on the development of a genetic algorithm that was successfully applied in the preparation of the daily picket schedule. With 6 trials, all experiments get the best individuals with fitness 1 and with fast running time. The examination results also learn all the system functionalities are running well, the resulting schedule is in accordance with the specified constraints and the system interface is updated properly by the correspondent.

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