<![CDATA[Background: Good performance can help hospitals make profits and maintain the sustainability of their business, and vice versa, a decreased performance can certainly be detrimental to hospitals. Nurses are always required to provide good service even under high pressure, with a large number of patient visits and standard procedures that should not be missed. This study aims to analyze the effect of job stress, workload, and job satisfaction on the nurses’ performance in the inpatient ward of dr. Sayidiman Magetan Hospital, East Java, Indonesia. Subjects and Method: It was an observational analytical study with a cross-sectional approach using a path analysis model. The population in this study was all nurses in the inpatient ward of dr. Sayidiman Magetan Hospital, East Java, Indonesia. The sample in this study was nurses at dr. Sayidiman Magetan Hospital, East Java, Indonesia. The ratio between the number of subjects in a study and the number of independent variables in multivariate analysis is recommended to be 15 to 20 subjects per independent variable. Therefore, the total number of study subjects in this study was 200 people. The study used the simple random sampling technique. The variables in this study were dependent variables and independent variables. The dependent variables included performance, while the independent variables included job stress, workload, and job satisfaction. Results: Nurses' performance in hospital inpatient ward improved with better job satisfaction (b= 0.19; CI 95%= 0.05 to 0.32; p = 0.006) and higher job stress (b = 0.13; CI 95%= -0.01 to 0.26; p = 0.066). Nurses’ performance decreased with heavier workload (b= -0.16; CI 95%= -0.29 to -0.03; p = 0.017). This path analysis model had a good model fit, which was indicated by the following model fit indicators: p = 0.294; RMSEA= 0.034; CFI = 0.98; TLI= 0.92; SRMR= 0.029. Conclusion: Nurses' performance in the hospital inpatient ward improves with better job satisfaction and higher job stress. Nurses' performance decreases with heavier workloads. This path analysis model has good model suitability]]>
