APLIKASI PENJADWALAN DAFTAR JAGA PERAWAT DENGAN MENERAPKAN ALGORITMA GENETIKA (STUDI KASUS RSIA MUHAMMADIYAH PROBOLINGGO)

Habibah, Ika Nur (2025) APLIKASI PENJADWALAN DAFTAR JAGA PERAWAT DENGAN MENERAPKAN ALGORITMA GENETIKA (STUDI KASUS RSIA MUHAMMADIYAH PROBOLINGGO). Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

A web-based nurse scheduling application utilizing a genetic algorithm is designed to optimize the arrangement of nurses’ work schedules in hospitals, which is often a challenge due to the need to consider various critical factors. The purpose of developing this application is to assist head nurses in efficiently creating nurse work schedules, while considering shift distribution, weekly working hour limits, provision of two days off per week, and the prohibition of assigning a night shift followed directly by a morning shift to ensure sufficient rest for nurses. This application is built using the CodeIgniter 3 framework, PHP programming language, and MySQL database. By leveraging the genetic algorithm, the system can automatically find the best schedule combinations and reduce violations of nurse scheduling rules. Test results show that the application can automatically generate schedules that comply with hospital regulations and requirements, and significantly accelerate the scheduling process compared to manual methods. Furthermore, the fitness value and schedule generation time produced are influenced by parameters such as population size, number of generations, mutation rate, and tournament size used.

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Akbar, Fawwaz Ali	19920317 201803 1 002	fawwaz_ali.fik@upnjatim.ac.id
UNSPECIFIED	Swari, Made Hanindia Prami	19890205 201803 2 001	madehanindia.fik@upnjatim.ac.id

Subjects:

Q Science > QA Mathematics > QA76.6 Computer Programming

Divisions:

Faculty of Computer Science > Departemen of Informatics

Depositing User:

Unnamed user with email 18081010033@student.upnjatim.ac.id

Date Deposited:

16 Jun 2025 07:59

Last Modified:

16 Jun 2025 07:59

URI:

https://repository.upnjatim.ac.id/id/eprint/37933