SISTEM PENJADWALAN DOKTER PADA JARINGAN KLINIK 24 JAM MENGGUNAKAN RULE-BASED DSS (Kasus Kabupaten Karawang)
Managing a schedule for a group of doctors to be placed in 24 hours clinic networks had long became a great burden to a coordinator, person in charge of making the schedule. It took both time and meticulous precision to create schedule that were error free. With the aim to significantly reduce the t...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2011
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/88631/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=50592 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | Managing a schedule for a group of doctors to be placed in 24 hours clinic networks
had long became a great burden to a coordinator, person in charge of making the schedule.
It took both time and meticulous precision to create schedule that were error free. With the
aim to significantly reduce the time to construct as well as errors that occur in scheduling
doctors to clinics, this research developed a method to built timetable automatically which
still conforms to a good doctors-to-clinics scheduling guidelines.
The research used data of 34 doctors and 39 clinics within Karawang Regency to be
scheduled. It defines the criteria of effective and efficient scheduling, and proposes a
method to achieve it effortlessly with the help of Decision Support System (DSS). This
method needed to extract knowledge from coordinator in order to find every influential
aspect used to construct the timetable. These influential aspects then converted into IFTHEN
statements, where it is used as a basis of Rule-Based DSS. The system developed
in a web-base environment, giving it an easier access and relatively faster information
exchange.
The research shows that the schedule made by the system meets the criteria of an
effective and efficient schedule. The time consumed to build one is also reduced to
5,3124% of their original record. Errors that happen from time to time when schedule was
done manually were never occurred during the alpha test of the system. The research
concludes that by utilizing Rule-Based DSS, an effective and efficient scheduling can be
made using a significantly less effort. |
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