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Journal articles on the topic 'Nurse scheduling'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Utina, Fitriani, Lailany Yahya, and Nurwan Nurwan. "Nonpreemptive Goal Programing Method in Optimization Nurse Scheduling by Considering Education Level." Jurnal ILMU DASAR 22, no. 2 (2021): 85. http://dx.doi.org/10.19184/jid.v22i2.16939.

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Nurse scheduling is one of the problems that often arise in hospital management systems. Head of ICU room and nurse to cooperate in making good nurse scheduling for the creation of optimal service. In this paper, we study a hospital nurse schedule design by considering the level of nurse education and the provision of holidays. Nurses with undergraduate education (S1) Nurses become leaders on every shift and are accompanied by nurses with diploma education (D3). The scheduling model in this study using the nonpreemptive goal programming method and LINGO 11.0 software. The preparation of the sc

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2

Leksakul, Komgrit, and Sukrit Phetsawat. "Nurse Scheduling Using Genetic Algorithm." Mathematical Problems in Engineering 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/246543.

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This study applied engineering techniques to develop a nurse scheduling model that, while maintaining the highest level of service, simultaneously minimized hospital-staffing costs and equitably distributed overtime pay. In the mathematical model, the objective function was the sum of the overtime payment to all nurses and the standard deviation of the total overtime payment that each nurse received. Input data distributions were analyzed in order to formulate a simulation model to determine the optimal demand for nurses that met the hospital’s service standards. To obtain the optimal nurse sc

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Rizany, Ichsan, RR Tutik Sri Hariyati, and Efi Afiyanti. "Penjadwalan Dinas terhadap Kepuasan Perawat di Rumah Sakit Y Jakarta." Dunia Keperawatan: Jurnal Keperawatan dan Kesehatan 8, no. 2 (2020): 320. http://dx.doi.org/10.20527/dk.v8i2.8875.

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Nurse satisfaction in hospitals in Indonesia was still low. The low level of nurse discharge was influenced by a number of factors. The purpose of this study was to determine the relationship between nursing scheduling and patient satisfaction at Y Hospital Jakarta. The method used in this study was cross-sectional. The number of samples was 32 nurses (n = 32) through a stratified random sampling technique. The study was conducted at Y Hospital Jakarta. Inclusion criteria included implementing nurses who worked at least 1 year and were willing to become respondents. Data were analyzed by the P

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Suppiah, Yasothei. "An Integer Programming Model for a Nurse Scheduling Problem." International Journal of Membrane Science and Technology 10, no. 2 (2023): 1180–85. http://dx.doi.org/10.15379/ijmst.vi.1401.

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This paper addresses a nurse scheduling problem that is present in a hospital. In order to accommodate the rising cost of sustaining and maintaining the hospital, there is a demand to analyse the manpower scheduling problem by not compromising the needs of the patients. Therefore, this study aims to apply a mathematical method to find the optimal number of nurses to be assigned for duties each day and shift in a hospital. An integer linear programming model is developed to represent the nurse scheduling problem. The mathematical model is solved by using the QM for windows software and the resu

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Rerkjirattikal, Pavinee, Van-Nam Huynh, Sun Olapiriyakul, and Thepchai Supnithi. "A Goal Programming Approach to Nurse Scheduling with Individual Preference Satisfaction." Mathematical Problems in Engineering 2020 (November 22, 2020): 1–11. http://dx.doi.org/10.1155/2020/2379091.

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The use of scheduling optimization tools is essential in creating an efficient nurse shift-rotation schedule. A well-designed nurse scheduling technique can improve nurses’ job satisfaction and their intention to stay. This study develops a goal programming approach to nurse scheduling that simultaneously considers workload fairness and individual preferences on working shift and day off assignments. A case study of an operating room at a hospital in Thailand is used to illustrate the model capabilities for solving an actual nurse scheduling problem. The job satisfaction factors defined based

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Samosir, Larry Ronaldo, and Faiz Ahyaningsih. "Application of the Goal Programming Method in Nurse Scheduling at RSUD Dr. Hadrianus Sinaga Pangururan." Indonesian Journal of Advanced Research 2, no. 7 (2023): 965–82. http://dx.doi.org/10.55927/ijar.v2i7.4898.

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The purpose of this study was to establish an effective and optimal nurse schedule at the Regional General Hospital dr. Hadrianus sinaga Pangururan. RSUD dr.Hadrianus Sinaga Pangururan is still scheduling nurses manually with a total of 20 nurses and has three work shifts namely morning, afternoon and evening. As a result of manual scheduling, it takes quite a long time and is less efficient due to imbalances in the distribution of shifts. The method used to solve nurse scheduling problems is Goal Programming. Goal Programming is the development of linear programs that are used to solve linear

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Zunaedi, Rosly, Soenarnatalina Melaniani, and Ahsan Ahsan. "Assessment of The Characteristics of Nurse Scheduling in Hospital Ward." STRADA Jurnal Ilmiah Kesehatan 9, no. 2 (2020): 1755–62. http://dx.doi.org/10.30994/sjik.v9i2.528.

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Good scheduling arrangements are needed to prevent physical, emotional, and psychological exhaustion in nurses which will harm their performance. The aim is to see an assessment of the characteristics of nurse work scheduling in the hospital ward. This study used a descriptive survey design. The population in this study were all nurses in the ward of Lavalette Hospital - Malang. The sampling technique used was simple random sampling. Data collection using a scheduling characteristic questionnaire. Most of the respondents considered that the work scheduling criteria currently applied in the war

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8

Hung, Rudy. "Hospital Nurse Scheduling." JONA: The Journal of Nursing Administration 25, no. 7 (1995): 21–23. http://dx.doi.org/10.1097/00005110-199507000-00010.

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9

Rosenbloom, E. S., and N. F. Goertzen. "Cyclic nurse scheduling." European Journal of Operational Research 31, no. 1 (1987): 19–23. http://dx.doi.org/10.1016/0377-2217(87)90131-7.

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10

Hesaraki, Alireza F., Nico P. Dellaert, and Ton de Kok. "Integrating nurse assignment in outpatient chemotherapy appointment scheduling." OR Spectrum 42, no. 4 (2020): 935–63. http://dx.doi.org/10.1007/s00291-020-00596-8.

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Abstract In outpatient chemotherapy, nurses administer the drugs in two steps. In the first few minutes of each appointment, a nurse prepares the patient for infusion (drug administration). During the remainder of the appointment, the patient is monitored by nurses and if needed taken care of. One nurse must be assigned to prepare the patient and set up the infusion device. However, a nurse who is not busy setting up may simultaneously monitor up to a certain number of patients who are already receiving infusion. The prescribed infusion durations are significantly different among the patients

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11

Christopher, A. OYELEYE, and O. OLADELE Grace. "MODIFIED GENETIC ALGORITHM FOR SOLVING NURSE SCHEDULING PROBLEM." International Research Journal of Computer Science VII, no. IV (2020): 33–41. https://doi.org/10.26562/irjcs.2020.v0704.002.

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The Nurse scheduling problem (NSP) represents a difficult class of Multi-objective optimization problems consisting of number of interfering objectives between the hospitals and individual nurses. Several constraint-based optimization techniques have been proposed to solve automated nursing scheduling problems in an acceptable computation time but most of these techniques are characterized by premature convergences which inhibit optimal global solution. Thus, a Modified Genetic Algorithm (MGA) was developed to solve Nurse Scheduling Problem. The Modified Genetic Algorithm will be implemented b

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Rizany, Ichsan, Tutik Sri Hariyati, and Sri Purwaningsih. "OPTIMALISASI FUNGSI KEPALA RUANGAN DALAM PENETAPAN JADWAL DINAS PERAWAT BERBASIS KOMPETENSI: PILOT STUDY." Jurnal Persatuan Perawat Nasional Indonesia (JPPNI) 1, no. 3 (2017): 244. http://dx.doi.org/10.32419/jppni.v1i3.35.

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e"> ABSTRAKTujuan penelitian: melakukan pemberdayaan fungsi kepala ruangan dalam implementasi jadwaldinas berbasis kompetensi di rumah sakit umum vertikal kelas A yang menjadi rumah sakit pusatrujukan nasional. Metode: pendekatan pilot studi yang dilaksanakan dari analisis situasi, pembuatanplan of action, implementasi, evaluasi dan analisis gap menggunakan literatur review. Pilot studidilakukan selama ± 7 minggu kepada 43 perawat dan 16 kepala ruangan sebagai responden.Analisis situasi dilakukan dengan menggunakan diagram fi sh bone. Hasil: Masalah utama ialahbelum optimalnya pelaksanaan j

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Rizany, Ichsan, Hanny Handiyani, Hening Pujasari, Dadan Erwandi, and Cicilia Ika Wulandari. "Self-scheduling for nurse: A concept analysis." Multidisciplinary Reviews 8, no. 1 (2024): 2025021. http://dx.doi.org/10.31893/multirev.2025021.

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Quality nursing care must be supported by appropriate nurse scheduling arrangements. Inappropriate nursing scheduling harms nurses’ work. Clarification of terms is necessary to inform nurses and service managers, promote consistent theoretical and operational definitions in research, and develop prevention strategies to provide quality nursing care. This research aims to clarify the meaning of the concept of self-scheduling. The design used is concept analysis. Data sources were searched from electronic databases (Sciendirect, Google Schoolar, Taylor & Francis, SpringerLink, and IEEE). The

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Mardiningsih and Luscer Imanuel Sidabutar. "Scheduling Labor of Nurse using Fuzzy Goal Programming Method (Case Study: RSU. Mitra Medika Amplas)." Journal of Mathematics Technology and Education 3, no. 3 (2024): 230–40. https://doi.org/10.32734/jomte.v3i3.13176.

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Mitra Medika Hospital has an inpatient room that is ready for 24 hours, therefore nurses are needed to be ready to stand guard during the morning, afternoon and night shifts. The existence of good nurse scheduling, has an impact on the performance and service of nurses to patients. Scheduling must be in accordance with hospital rules and nurse preferences. The Fuzzy Goal Programming model with the Min Operator Bellman-Zadeh approach can overcome the uncertainty of the aspiration values desired by nurses related to working hours, working days and patterns of holidays and holidays. This research

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Ika Nur Habibah, Fawwaz Ali Akbar, and Made Hanindia Prami Swari. "Aplikasi Penjadwalan Daftar Jaga Perawat Dengan Menerapkan Algoritma Genetika." Jurnal Ilmiah Teknik Informatika dan Komunikasi 5, no. 2 (2025): 419–35. https://doi.org/10.55606/juitik.v5i2.1126.

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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 usin

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D’souza, Brayal, Shreyas Suresh Rao, Chepudira Ganapathy Muthana, et al. "ROTA: A system for automated scheduling of nursing duties in a tertiary teaching hospital in south India." Health Informatics Journal 27, no. 2 (2021): 146045822110014. http://dx.doi.org/10.1177/14604582211001426.

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The nursing schedule generation is an important activity that takes a considerable amount of time for managers to prepare and amend. It involves the optimal allocation of nurses to shifts, factoring various constraints like shift timings, holidays, leaves, and emergencies. This paper provides the design and development details for an automated nurse scheduling system called “ROTA,” implemented for a 2032 bed multi-specialty tertiary teaching hospital, having 1800 staff nurses and 98 wards. The system generates daily, weekly, monthly schedules, nurse face sheets, duty allocation charts, swappin

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17

Mohd Nasir, Diana Sirmayunie, Nurul Hahani Che Baharom, Nor Hayati Shafii, and Nor Azriani Mohamad Nor. "Cyclical Nurse Scheduling in Shah Alam Hospital Using Goal Programming." Journal of Computing Research and Innovation 6, no. 1 (2021): 1–10. http://dx.doi.org/10.24191/jcrinn.v6i1.175.

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A shift work schedule is extremely important to obtain the optimum result of work allocation since it involves 24 hours of continuous services. Every nurse could not avoid shift work schedule since their services are very important towards the patients in the hospital. The major objective of the study is to propose a cyclical nurse scheduling in the Coronary Care Unit (CCU) at Shah Alam hospital using Goal Programming. It is to help the head nurse to spend less effort on building new schedules periodically and increase the satisfaction among nurses by providing fairness towards their schedules

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18

Zhang, Zhichao. "Nurse Scheduling Algorithms based on Different Scenarios." Frontiers in Computing and Intelligent Systems 4, no. 2 (2023): 12–16. http://dx.doi.org/10.54097/fcis.v4i2.9700.

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This algorithm is based on a combination of integer programming, genetic algorithm, and decision tree to study nurse scheduling management problems in different scenarios. Firstly, the usage scenarios are classified based on the number of department members and energy levels. Then, the initial solution is obtained through integer programming based on information such as the actual energy level of nurses in the hospital. Finally, genetic algorithm is used to optimize the initial solution to obtain a final solution that is more in line with practical requirements. This algorithm can automaticall

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Nuñez, Guia Marie R., and Joan P. Bacarisas. "Perceived Roles and Support of Preceptors on Work Role Functions of Nurses in Ormoc City." International Journal of Research and Scientific Innovation XII, no. III (2025): 186–220. https://doi.org/10.51244/ijrsi.2025.12030013.

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Work role function is important in every organization especially when coupled with roles and support. This study examined the interrelationship among personal characteristics, perceived roles and support, and work role function of nurses in selected hospitals in Ormoc City, Leyte, during the fourth quarter of 2024. It explored how age, sex, marital status, education, and hospital classification influenced nurses’ perceptions of roles, support, and work demands, including scheduling, physical, mental, social, and flexibility aspects. The study also assessed the correlation between senior nurse

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20

Cheng, Mingang, Hiromi Itoh Ozaku, Noriaki Kuwahara, Kiyoshi Kogure, and Jun Ota. "Dynamic Scheduling in Inpatient Nursing." International Journal of Automation Technology 3, no. 2 (2009): 174–84. http://dx.doi.org/10.20965/ijat.2009.p0174.

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To shorten the notoriously long waits for service in hospitals in Japan and to improve efficiency, we propose a scheduling algorithm with a 2-layer local search based on simulated annealing -- permutating (switching) (i) tasks among nurses and (ii) subtasks on each nurse. The scheduling algorithm generates a solution initializing our proposed dynamic scheduling to iteratively generate new, feasible schedules based on the scheduling algorithm to accommodate interruptions while preventing nurses' work hours from increasing. To verify the effectiveness of our proposed scheduling, we executed a se

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Hu, Y., and T. Zhu. "N27 Impact of Anaesthetic Nurse Scheduling Patterns on Resuscitation Outcomes after Painless Gastrointestinal Endoscopy in Patients with Inflammatory Bowel Disease." Journal of Crohn's and Colitis 19, Supplement_1 (2025): i2483. https://doi.org/10.1093/ecco-jcc/jjae190.1559.

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Abstract Background Nurse anesthetists in the post-anesthetic care unit (PACU) of the Gastrointestinal Endoscopy Center monitor and manage complications following endoscopy procedures. We examined the impact of nurse anesthetist scheduling patterns on resuscitation efficiency of inflammatory bowel disease (IBD) patients in the anesthesia recovery room after painless gastrointestinal endoscopy. Methods This was a retrospective analysis of IBD patients who underwent resuscitation following painless gastrointestinal endoscopy at a large tertiary care IBD clinic. Two anesthetic nurse practitioner

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Zheng, Shaoxin, Ting Li, Ming Han, and Meijuan Wu. "Coping strategies for nurse burnout：Combination of psychological counselling and institutional safeguards." International Theory and Practice in Humanities and Social Sciences 2, no. 4 (2025): 181–94. https://doi.org/10.70693/itphss.v2i4.321.

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With the increasing complexity of the healthcare environment, the issue of nurse burnout has gradually received attention. Based on the operating room, emergency centre, ICU and outpatient clinic of a tertiary hospital in Guangzhou City, this study explores the relationship between the scheduling system, psychological support and nurse burnout, and provides a basis for the development of intervention strategies; this study uses Burnout Theory and Demand-Control-Support Model as the theoretical basis for designing a questionnaire containing three dimensions: scheduling system, psychological sup

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Ananda, Rizky, Zulfahmi Indra, and Hamidah Nasution. "Application of Graph Coloring on Nurse Work Scheduling at H. Adam Malik Hospital Medan Using the Tabu Search Algorithm." ZERO: Jurnal Sains, Matematika dan Terapan 6, no. 1 (2022): 1. http://dx.doi.org/10.30829/zero.v6i1.12451.

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<p>Complex problems that usually occur in every hospital, one of which is scheduling with so many aspects, for example: the number of nurses, the distribution of nurse shifts, time off or leave and others. With the manual method that is still used in compiling the nurse's work schedule, it makes it difficult for an irregular and regular schedule. In solving the scheduling problem, the graph coloring method can be used. This scheduling problem can be solved by graph coloring. One solution to solve the problem of concluding graphs in scheduling is the Tabu Search Algorithm. A method that w

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Sugianto, Kartika Mawar Sari, Rr Tutik Sri Hariyati, Hening Pujasari, Enie Novieastari, and Hanny Handiyani. "Nurse workforce scheduling: A qualitative study of Indonesian nurse managers’ experiences during the COVID-19 pandemic." Belitung Nursing Journal 8, no. 1 (2022): 53–59. http://dx.doi.org/10.33546/bnj.1735.

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Background: The increase in COVID-19 cases in Indonesia has resulted in changes in the hospital workflow, including the staffing process and scheduling, especially in the isolation units. Nurse managers are working hard in the scheduling system to ensure high-quality care is provided with the best human resources. Objective: This study aimed to explore the experiences of nurse managers in managing staff nurses’ work schedules during the COVID-19 pandemic. Methods: A qualitative descriptive design was used in this study. Eleven nurse managers from three COVID-19 referral hospitals w

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Oyekunle, Adetoun, and Sherif Olanrewaju. "Predictors and Impact of Burnout among Nurses in Nigerian Tertiary Hospitals: A General Review." South Asian Research Journal of Nursing and Healthcare 7, no. 02 (2025): 28–35. https://doi.org/10.36346/sarjnhc.2025.v07i02.001.

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Background: Burnout among Nigerian nurses in tertiary hospitals is a significant issue, leading to adverse effects on both nurse wellbeing and patient outcomes. Purpose: This review aims to explore the key predictors of burnout among nurses in Nigerian tertiary hospitals and examine the coping strategies and interventions that can mitigate its impact. Methods: A literature review was conducted focusing on work-related, socio-demographic, and systemic factors influencing burnout. Findings: Key predictors of burnout among Nigerian nurses include high nurse-patient ratios, long working hours, and

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Zolkefli, Yusrita, and Mohamad Yusri Haji Zolkefli. "Revisiting Nurse Scheduling Practice." INTERNATIONAL JOURNAL OF CARE SCHOLARS 6, no. 2 (2023): 74–76. http://dx.doi.org/10.31436/ijcs.v6i2.313.

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Rahman, Syawalludin, Yeni Mulyani, and Ichsan Rizany. "Penjadwalan Dinas Perawat berhubungan dengan Kepuasan Pasien di Ruang Rawat Inap RSUD Ulin Banjarmasin." Dunia Keperawatan 6, no. 1 (2018): 41. http://dx.doi.org/10.20527/dk.v6i1.5081.

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ABSTRAKKepuasan pasien selama dirawat di suatu rumah sakit masih dalam kategori rendah. Rendahnya kepuasan pasien tersebut dipengaruhi beberapa faktor yang salah satunya adalah penjadwalan dinas perawat. Penelitian ini bertujuan untuk mengetahui hubungan penjadwalan dinas perawat dengan tingkat kepuasan pasien di ruang rawat inap RSUD Ulin Banjarmasin. Desain penelitian ini menggunakan korelasional dengan pendekatan cross sectional dan teknik pengambilan sampel accidental sampling. Responden penelitian berjumlah 92 orang. Waktu penelitian bulan Desember 2017 dan alat ukur yang digunakan berupa

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Hasibuan, Mhd Panerangan, and Hendra Cipta. "Optimization of Nursing Scheduling in Emergency by Using Genetic Algorithm." Jurnal Pijar Mipa 19, no. 1 (2024): 99–106. http://dx.doi.org/10.29303/jpm.v19i1.6412.

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Scheduling nurse duty is one of the problems in health organizations that is quite complicated to solve. Starting from the uncertain number of patients, serious patient illnesses, characteristics of organizational groups, requests for nurses to take time off, and the qualifications and specialization of the nurses themselves are why scheduling in the ER is difficult to optimize. The same thing is being experienced by one of the health institutions, RSUD Dr. Pirngadi. Preparing schedules or determining the number of nurses on duty is still done manually, resulting in a lack of optimization in s

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Ohki, Makoto. "Nurse Scheduling by Cooperative GA with Effective Virus Operator." International Journal of Applied Evolutionary Computation 5, no. 1 (2014): 19–29. http://dx.doi.org/10.4018/ijaec.2014010102.

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This paper proposes effective genetic operators for cooperative genetic algorithm (GA) to solve a nurse scheduling problem. A clinical director of a medical department makes a duty schedule of all nurses of the department every month. Such the scheduling is very complex task. It takes one or two weeks to create the nurse schedule even by a veteran director. In conventional ways using the cooperative GA, a crossover operator is only employed for the optimization, because it does not lose consistency between chromosomes. The authors propose a virus operator for the cooperative GA, which does not

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Abayomi-Alli, Adebayo A., Frances Omoyemen Uzedu, Sanjay Misra, Olusola O. Abayomi-Alli, and Oluwasefunmi T. Arogundade. "Hybrid Model of Genetic Algorithms and Tabu Search Memory for Nurse Scheduling Systems." International Journal of Service Science, Management, Engineering, and Technology 13, no. 1 (2022): 1–20. http://dx.doi.org/10.4018/ijssmet.297494.

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The main challenge of Nurse Scheduling Problem (NSP)is designing a nurse schedule that satisfies nurses preferences at minimal cost of violating the soft constraints. This makes the NSP an NP-hard problem with no perfect solution yet. In this study, two meta-heuristics procedures: Genetic Algorithm (GA) and Tabu Search (TS) memory was applied for the development of an automatic hospital nurse scheduling system (GATS_NSS). The data collected from the nursing services unit of a Federal Medical Centre (FMC) in Nigeria with 151 nursing staffs was preprocessed and adopted for training the GATS_NSS.

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Ramadhani, Intan Ayu, and Yusmet Rizal. "Optimasi Penjadwalan Perawat IGD RSUD Arosuka dengan Metode 0-1 Fuzzy Goal Programming." Journal of Mathematics UNP 8, no. 2 (2023): 81. http://dx.doi.org/10.24036/unpjomath.v8i2.14441.

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Nurse scheduling problem is an important aspect in maintaining the quality of hospital services. The fact that the number of patients is greater than the limited number of nurses and there are rules from the hospital that must be complied with makes the nurse scheduling problem more complex. The purpose of this study was to the shape of the model and the results of optimizing the scheduling of emergency room nurses at Arosuka Hospital using the method 0-1 Fuzzy Goal Programming. Model 0-1 Fuzzy Goal Programming is the result of the application of set theory Fuzzy on Goal Programming that uses

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Amindoust, Atefeh, Milad Asadpour, and Samineh Shirmohammadi. "A Hybrid Genetic Algorithm for Nurse Scheduling Problem considering the Fatigue Factor." Journal of Healthcare Engineering 2021 (March 31, 2021): 1–11. http://dx.doi.org/10.1155/2021/5563651.

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Nowadays and due to the pandemic of COVID-19, nurses are working under the highest pressure benevolently all over the world. This urgent situation can cause more fatigue for nurses who are responsible for taking care of COVID-19 patients 24 hours a day. Therefore, nurse scheduling should be modified with respect to this new situation. The purpose of the present research is to propose a new mathematical model for Nurse Scheduling Problem (NSP) considering the fatigue factor. To solve the proposed model, a hybrid Genetic Algorithm (GA) has been developed to provide a nurse schedule for all three

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Ko, Young-Woong, Dong-Hoi Kim, Saangyong Uhmn, and Jin Kim. "Nurse Scheduling Problem Using Backtracking." Advanced Science Letters 23, no. 4 (2017): 3792–95. http://dx.doi.org/10.1166/asl.2017.9023.

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Weil, G., K. Heus, P. Francois, and M. Poujade. "Constraint programming for nurse scheduling." IEEE Engineering in Medicine and Biology Magazine 14, no. 4 (1995): 417–22. http://dx.doi.org/10.1109/51.395324.

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Aickelin, Uwe, and Paul White. "Building Better Nurse Scheduling Algorithms." Annals of Operations Research 128, no. 1-4 (2004): 159–77. http://dx.doi.org/10.1023/b:anor.0000019103.31340.a6.

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Kostreva, Michael M., and Karen S. B. Jennings. "Nurse scheduling on a microcomputer." Computers & Operations Research 18, no. 8 (1991): 731–39. http://dx.doi.org/10.1016/0305-0548(91)90011-f.

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Simić, Svetlana, Emilio Corchado, Dragan Simić, Jovanka Đorđević, and Svetislav D. Simić. "A novel fuzzy metaheuristic approach in nurse rerostering problem." Logic Journal of the IGPL 28, no. 4 (2019): 583–95. http://dx.doi.org/10.1093/jigpal/jzz061.

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Abstract In the past 50 years nurse scheduling has received considerable attention in the research community. There are two cases regarding the nurse scheduling problem (NSP): the static and dynamic. Dynamic NSP, is often called nurse rerostering problem (NRRP), which presents reconstruction or modification of the predetermined roster for the current scheduling horizon. The aim of this paper is to present new hybrid strategy for nurse NRRP problem. The proposed methodology is based on efficient cooperation between fuzzy logic, ordered weighted averaging and variable neighbourhood descent searc

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Moreno-Velásquez, Luis Fernando, F. Javier Díaz-Serna, and Daniel Morillo-Torre. "Dynamic multicriteria optimization for the nurse scheduling problem." Decision Science Letters 14, no. 2 (2025): 457–72. https://doi.org/10.5267/j.dsl.2024.12.009.

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This document addresses the Nurse Scheduling Problem (NSP) and presents a dynamic multi-criteria optimization model for its solution considering a predefined time horizon. The purpose is to maximize the level of "work well-being" of nurses formulated as the minimization of "aversion" which translates into costs or penalties for certain undesirable work shifts. For this, a series of criteria are defined to estimate the preference structure of nurses according to the hospital center specifications by assigning costs for undesirable shift assignments. The proposed methodology involves developing

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Nababan, Junerdi, Tulus Tulus, and Zakarias Situmorang. "Analysis of Taklinear Performance and Integer Linear Programming Models in Nurses Scheduling Problems." SinkrOn 4, no. 2 (2020): 123. http://dx.doi.org/10.33395/sinkron.v4i2.10528.

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Almost all hospitals schedule nurses' work shifts manually, which is not effective, mistakes in scheduling nurses in hospitals can make them not work optimally so that they are prone to making mistakes and will endanger every patient in the hospital. In the research will be proposed integer linear programming model and branch and bound method, the purpose of this study is to develop an optimization model of nurse scheduling problems at the hospital. The optimization model will minimize the total deviation of nurses' working days from the standard workdays, the optimization model implemented in

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Huang, Li, Chunming Ye, Jie Gao, Po-Chou Shih, Franley Mngumi, and Xun Mei. "Personnel Scheduling Problem under Hierarchical Management Based on Intelligent Algorithm." Complexity 2021 (January 12, 2021): 1–14. http://dx.doi.org/10.1155/2021/6637207.

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This paper studies a special scheduling problem under hierarchical management in nurse staff. This is a more complex rostering problem than traditional nurse scheduling. The first is that the rostering requirements of charge nurses and general nurses are different under hierarchical management. The second is that nurses are preferable for relative fair rather than absolute fair under hierarchical management. The model aims at allocating the required workload to meet the operational requirements, weekend rostering preferences, and relative fairness preferences. Two hybrid heuristic algorithms b

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Rodwell, John, Thomas Hendry, and Dianne Johnson. "Analyzing and Validating a Structure for Measuring the Nurse Practice Environment." International Journal of Environmental Research and Public Health 20, no. 7 (2023): 5266. http://dx.doi.org/10.3390/ijerph20075266.

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Nurse shortages pose a challenge in many countries and retaining existing nursing staff is crucial to addressing these shortages. To inform possible interventions aimed at retaining nurses, managers need a comprehensive understanding of the nature of the nurse practice environment. The scales from two of the main instruments used to assess nurses’ practice environments are tested. A survey of an online panel obtained responses from 459 Australian nurses. Analyses determined a combination of items with good construct validity and improved predictive utility for outcomes of interest for individu

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Topaloglu, Seyda, and Hasan Selim. "Nurse scheduling using fuzzy modeling approach." Fuzzy Sets and Systems 161, no. 11 (2010): 1543–63. http://dx.doi.org/10.1016/j.fss.2009.10.003.

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Ozkarahan, Irem. "A flexible nurse scheduling support system." Computer Methods and Programs in Biomedicine 30, no. 2-3 (1989): 145–53. http://dx.doi.org/10.1016/0169-2607(89)90066-7.

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Chandra, Alfian Bima, Ardana Putri Farahdiansari, and Rizky Stighfarrinata. "Optimasi Penjadwalan Perawat Dan Bidan Dengan Pendekatan Metode Algoritma Genetika Pada Puskesmas Kecamatan Purwosari." Jurnal Teknik Industri Terintegrasi 7, no. 1 (2024): 470–89. http://dx.doi.org/10.31004/jutin.v7i1.25768.

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Purwosari Community Health Center provides structured healthcare services with two types of services, inpatient and outpatient care. Although inpatient services run smoothly, nurse shift scheduling still relies on Microsoft Excel and often encounters schedule conflicts. To address this issue, the use of genetic algorithm method is proposed. Genetic algorithm offers multi-criteria and multi-objective solutions for scheduling, integrating concepts from genetics and scientific biological processes. Thus, the "schedule collision" problem can be effectively addressed, enhancing the efficiency of nu

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Arniawan, Arniawan, Nur Setiawati Dewi, and Septo Pawelas Arso. "Jenis Intervensi dalam Meningkatkan Kepuasan Kerja Perawat." Journal of Telenursing (JOTING) 5, no. 2 (2023): 1614–27. http://dx.doi.org/10.31539/joting.v5i2.6216.

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This study aims to determine the types of interventions that can increase the job satisfaction of nurses in hospitals through an article review approach. The research method used is scoping review through databases namely Pubmed, ScienceDirect, Scopus, SpringerLink, and Garuda Portal. The results of the study show that 15 interventions articles that can increase nurse job satisfaction include organizational culture, organizational commitment, implementation of nurse welfare programs, work professionalism, clinical supervision, implementation of sharia behavior in nursing services, scheduling m

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Cetin Yagmur, Ece, and Ahmet Sarucan. "Nurse Scheduling with Opposition-Based Parallel Harmony Search Algorithm." Journal of Intelligent Systems 28, no. 4 (2019): 633–47. http://dx.doi.org/10.1515/jisys-2017-0150.

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Abstract One of the advances made in the management of human resources for the effective implementation of service delivery is the creation of personnel schedules. In this context, especially in terms of the majority of health-care systems, creating nurse schedules comes to the fore. Nurse scheduling problem (NSP) is a complex optimization problem that allows for the preparation of an appropriate schedule for nurses and, in doing so, considers the system constraints such as legal regulations, nurses’ preferences, and hospital policies and requirements. There are many studies in the literature

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J. Lim, Gino, Arezou Mobasher, and Murray J. Côté. "Multi-objective Nurse Scheduling Models with Patient Workload and Nurse Preferences." Management 2, no. 5 (2012): 149–60. http://dx.doi.org/10.5923/j.mm.20120205.03.

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Wright, P. Daniel, and Stephen Mahar. "Centralized nurse scheduling to simultaneously improve schedule cost and nurse satisfaction." Omega 41, no. 6 (2013): 1042–52. http://dx.doi.org/10.1016/j.omega.2012.08.004.

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Rajeswari, M., J. Amudhavel, Sujatha Pothula, and P. Dhavachelvan. "Directed Bee Colony Optimization Algorithm to Solve the Nurse Rostering Problem." Computational Intelligence and Neuroscience 2017 (2017): 1–26. http://dx.doi.org/10.1155/2017/6563498.

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The Nurse Rostering Problem is an NP-hard combinatorial optimization, scheduling problem for assigning a set of nurses to shifts per day by considering both hard and soft constraints. A novel metaheuristic technique is required for solving Nurse Rostering Problem (NRP). This work proposes a metaheuristic technique called Directed Bee Colony Optimization Algorithm using the Modified Nelder-Mead Method for solving the NRP. To solve the NRP, the authors used a multiobjective mathematical programming model and proposed a methodology for the adaptation of a Multiobjective Directed Bee Colony Optimi

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Penedo, Rafaela Mossarelli, and Wilza Carla Spiri. "Meaning of the Systematization of Nursing Care for nurse managers." Acta Paulista de Enfermagem 27, no. 1 (2014): 86–92. http://dx.doi.org/10.1590/1982-0194201400016.

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OBJECTIVE: To understand the meaning that the nurse managers attributed to the nursing process, developed in their daily work.METHODS: The phenomenological method was used, referencing the structure of the situated phenomenon. The subjects were thirteen nurses, managers of a university hospital. The analysis included transcription and readings of depositions aimed at the essence, by means of thematization, interpretation and synthesis of the phenomenon.RESULTS: The thematic categories were: human resources in achieving the systematization of nursing care; their relevance to the work of the nur

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