• Login
    View Item 
    •   USU-IR Home
    • Faculty of Mathematics and Natural Sciences
    • Department of Mathematics
    • Undergraduate Theses
    • View Item
    •   USU-IR Home
    • Faculty of Mathematics and Natural Sciences
    • Department of Mathematics
    • Undergraduate Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Optimasi Penjadwalan Shift Kerja Perawat dengan Menerapkan Metode Algoritma Genetika pada RSU HKBP Balige

    Thumbnail
    View/Open
    Cover_190803104 (257.3Kb)
    List of Tables_190803104 (35.11Kb)
    List of Figures_190803104 (19.91Kb)
    List of Appendices_190803104 (19.50Kb)
    Full Text_190803104 (1.116Mb)
    Date
    2023
    Author
    Sitorus, Novita Indah Sari
    Advisor(s)
    Manurung, Asima
    Metadata
    Show full item record
    Abstract
    Nurse scheduling is something that must be considered in a hospital. Scheduling nurse work shifts is needed to regulate working hours so that the quality of nurses' work is well maintained and has a positive impact on the hospital when serving patients. According to observations made at RSU HKBP Balige, nurses' work shift arrangements experience uneven shift scheduling for each nurse and the number of nurse shifts is not fulfilled in accordance with hospital regulations. The aim of this research is to solve scheduling problems using a Genetic Algorithm. The genetic algorithm is a heuristic method where the chromosomes that survive are the strong chromosomes, while the weak chromosomes will become extinct. The aim is to obtain optimal parameter values for each nursing schedule. The variables used in this research are the nurse's name, room, length of shift working hours and number of days the nurse works. There are two testing components carried out in this scheduling to obtain optimal parameters, including testing the crossover rate and mutation rate values with the highest fitness value of 1. The results of scheduling using the Genetic Algorithm showed an increase in the number of working hours of nurses in each Operating and anesthesia room 9%, Bethlehem Nazareth 11%, Zarephath 13%, Siloam 18%, Judea 11%, Picu Nicu 10% and meets hospital regulations. From this it can be concluded that the application of a genetic algorithm to optimize nurse scheduling gets the best solution.
    URI
    https://repositori.usu.ac.id/handle/123456789/93505
    Collections
    • Undergraduate Theses [1471]

    Repositori Institusi Universitas Sumatera Utara - 2025

    Universitas Sumatera Utara

    Perpustakaan

    Resource Guide

    Katalog Perpustakaan

    Journal Elektronik Berlangganan

    Buku Elektronik Berlangganan

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of USU-IRCommunities & CollectionsBy Issue DateTitlesAuthorsAdvisorsKeywordsTypesBy Submit DateThis CollectionBy Issue DateTitlesAuthorsAdvisorsKeywordsTypesBy Submit Date

    My Account

    LoginRegister

    Repositori Institusi Universitas Sumatera Utara - 2025

    Universitas Sumatera Utara

    Perpustakaan

    Resource Guide

    Katalog Perpustakaan

    Journal Elektronik Berlangganan

    Buku Elektronik Berlangganan

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV