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All Journal JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Jurnal Serambi Abdimas
Lilik Muzdalifah
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Education Environmental Science

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An Optimization Model for the Nurse Scheduling Problem Considering Workload Variance Badriyah, Jamaliatul; Laynufar Silsilia Alhila; Mochammad Hafiizh; Lilik Muzdalifah
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 11 No. 3 (2024): Jurnal Derivat (Desember 2024)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/j.derivat.v11i3.6899

Abstract

The Nurse Scheduling Problem (NSP) is a critical issue in healthcare management, involving the assignment of nurses to shifts while adhering to constraints such as hospital requirements, legal obligations, and nurse preferences. A key objective is to balance workloads among nurses, minimizing variance to prevent burnout and ensure high-quality patient care. Despite various models addressing NSP, such as goal programming and stochastic methods, a significant gap remains in balancing workloads within individual shifts, which is crucial for nurse well-being and operational efficiency. This study develops an optimized nurse scheduling model for the emergency department (ED) of Dr. Saiful Anwar Hospital (RSSA) in Malang, using data from January 2024. The model considers 21 nurses, including 4 chief nurses, and aims to minimize workload variance across shifts while ensuring each nurse works at least 21 days per month. The simulation results show that the optimized schedule achieves a more equitable distribution of shifts and days off compared to the actual January 2024 schedule. The optimized model ensures that all nurses, except chief nurses, are assigned 21 working days with evenly distributed rest days, reducing fatigue and enhancing nurse well-being. This study advances NSP research by focusing on workload balance within shifts, contributing to improved healthcare service quality and nurse satisfaction. Future research should explore adaptive scheduling and incorporate factors like nurse preferences and patient acuity to further enhance scheduling flexibility and efficiency. Keywords: Nurse Scheduling Problem, Optimization, Scheduling
An Optimization Model for the Nurse Scheduling Problem Considering Workload Variance Badriyah, Jamaliatul; Laynufar Silsilia Alhila; Mochammad Hafiizh; Lilik Muzdalifah
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 11 No. 3 (2024): Jurnal Derivat (Desember 2024)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/j.derivat.v11i3.6899

Abstract

The Nurse Scheduling Problem (NSP) is a critical issue in healthcare management, involving the assignment of nurses to shifts while adhering to constraints such as hospital requirements, legal obligations, and nurse preferences. A key objective is to balance workloads among nurses, minimizing variance to prevent burnout and ensure high-quality patient care. Despite various models addressing NSP, such as goal programming and stochastic methods, a significant gap remains in balancing workloads within individual shifts, which is crucial for nurse well-being and operational efficiency. This study develops an optimized nurse scheduling model for the emergency department (ED) of Dr. Saiful Anwar Hospital (RSSA) in Malang, using data from January 2024. The model considers 21 nurses, including 4 chief nurses, and aims to minimize workload variance across shifts while ensuring each nurse works at least 21 days per month. The simulation results show that the optimized schedule achieves a more equitable distribution of shifts and days off compared to the actual January 2024 schedule. The optimized model ensures that all nurses, except chief nurses, are assigned 21 working days with evenly distributed rest days, reducing fatigue and enhancing nurse well-being. This study advances NSP research by focusing on workload balance within shifts, contributing to improved healthcare service quality and nurse satisfaction. Future research should explore adaptive scheduling and incorporate factors like nurse preferences and patient acuity to further enhance scheduling flexibility and efficiency. Keywords: Nurse Scheduling Problem, Optimization, Scheduling
Peningkatan Kapasitas Pengelolaan Penjadwalan dan Inventori Peralatan pada Industri Jasa Tarub Melalui Program Pengabdian kepada Masyarakat Berbasis Riset Lilik Muzdalifah; Triyani Triyani; Noor Sofiyati; Tassya Salsabila Putri Munggaran; Rohma Diah Wulandari; Lizvy Khanifatul Jannah
Jurnal Serambi Abdimas Vol 7 No 01 (2026): Jurnal Serambi Abdimas
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/sa.v7i01.18591

Abstract

Industri jasa tarub memiliki peran penting dalam mendukung kegiatan sosial dan budaya masyarakat, namun dalam pelaksanaannya masih menghadapi permasalahan operasional terkait penjadwalan peralatan dan tim serta pengelolaan inventori yang belum optimal. Hal ini sering menimbulkan ketidakefisiensian, seperti keterlambatan layanan, tumpang tindih jadwal, dan ketidaksesuaian antara permintaan dengan ketersediaan peralatan. Melalui program Pengabdian kepada Masyarakat (PkM) berbasis riset, tim melaksanakan kegiatan peningkatan kapasitas mitra dalam pengelolaan dan penjadwalan inventori. Metode yang digunakan meliputi identifikasi permasalahan, sosialisasi, pelatihan, dan penerapan sistem penjadwalan dan inventori. Indikator peningkatan kapasitas diukur dari tiga aspek, yaitu pengetahuan, keterampilan, dan praktik. Hasil menunjukkan adanya peningkatan pemahaman mitra mengenai pentingnya sistem penjadwalan, keterampilan dalam penggunaan aplikasi sederhana untuk inventori, serta perubahan sikap dalam pencatatan yang lebih sistematis. Kegiatan ini diharapkan dapat mendorong efisiensi operasional dan menjadi landasan untuk implementasi sistem penjadwalan pintar secara berkelanjutan pada industri jasa tarub.
Co-Authors HAFIIZH, MOCHAMMAD Jamaliatul Badriyah Laynufar Silsilia Alhila Lizvy Khanifatul Jannah noor Sofiyati Rohma Diah Wulandari Tassya Salsabila Putri Munggaran Triyani Triyani