Jurnal Rekayasa Sistem Industri
Vol. 15 No. 2 (2026): Jurnal Rekayasa Sistem Industri

Analisis Beban Kerja Mental dan Tingkat Kantuk Perawat Rawat Inap Rumah Sakit di Kota Bandung pada Era Adaptasi Kebiasaan Baru

Nichlaus Hizkia Albright Lewerissa (Universitas Katolik Parahyangan)
Paulus Sukapto (Unknown)
Clara Theresia (Unknown)



Article Info

Publish Date
29 Oct 2026

Abstract

Purpose: The COVID-19 pandemic has increased the workload of medical personnel providing patient care, particularly inpatient nurses. Field interviews with nurses at hospitals in Bandung City indicated increased fatigue and sleepiness during the new normal adaptation period. This study aimed to measure mental workload and sleepiness among inpatient nurses in Bandung City. Methodology: A total of 275 inpatient nurses participated by completing the National Aeronautics and Space Administration Task Load Index (NASA-TLX) questionnaire to assess mental workload and the Karolinska Sleepiness Scale (KSS) to measure sleepiness. Results: Mental workload among inpatient nurses ranged from high to very high, with scores between 76.93 ± 13.18 and 81.36 ± 13.53. Hospital characteristics, gender, age, and marital status were identified as factors associated with excessive mental workload. KSS scores indicated that nurses were in the very alert to alert range after completing their duties. Furthermore, 60.73% of nurses experienced very high mental workload, while 68.73% were classified as very alert. Conclusion: The findings indicate the need for hospital management to improve working conditions through better shift scheduling, resource allocation, and equitable distribution of staff support facilities to address the needs of inpatient nurses. Originality: This study examines mental workload and sleepiness simultaneously among inpatient nurses in Bandung City and identifies factors associated with excessive mental workload, providing a basis for improving hospital workforce management during the new normal adaptation period.

Copyrights © 2026






Journal Info

Abbrev

jrsi

Publisher

Subject

Industrial & Manufacturing Engineering

Description

Data and Analytics Decision Analysis E-Business and E-Commerce Engineering Economy and Cost Analysis Human Factors Information Systems Intelligent Systems Manufacturing Systems Operations Research Production Planning and Control Project Management Quality Control and Management Reliability and ...