Pengaruh Stres Perjalanan dan Beban Kerja terhadap Kelelahan Kerja pada Karyawan Pengguna KRL Transit Stasiun Manggarai

Opi Permata Indah; Herayati Herayati; Vicky Windasari

doi:10.59603/ebisman.v4i3.1521

Authors

Opi Permata Indah Universitas Bina Sarana Informatika
Herayati Herayati Universitas Bina Sarana Informatika
Vicky Windasari Universitas Bina Sarana Informatika

DOI:

https://doi.org/10.59603/ebisman.v4i3.1521

Keywords:

Commuter Stress, Employee Fatigue, Job Burnout, Manggarai Station, Workload

Abstract

High passenger congestion at transit stations particularly Manggarai Station causes travel related stress for employees before they even arrive at work. This situation is compounded by heavy workloads at the office, potentially leading to increased work-related fatigue. This study aims to determine and analyze the effect of commuter stress at Manggarai Station and workload on employee job burnout. The research method used is a quantitative method. Data collection was conducted by distributing questionnaires to employees who are Commuter Line users transiting at Manggarai Station. Data were analyzed using instrument tests, classical assumption tests, and multiple linear regression analysis via SPSS software. The results showed that partially, travel stress has a positive and significant effect on job burnout with a t-count > t-table value of (2.584 > 1.985) and a significance value of 0.011 < 0.05, contributing 10.75% to the effect. Workload also has a positive and significant effect on job burnout with a t-count > t-table value of (6.803 > 1.985) and a significance value of 0.000 < 0.05, making it the most dominant factor with a contribution of 38.34%. Simultaneously, commuter stress at Manggarai Station and workload have a significant effect on employee job burnout with an F-count > F-table value of (46.763 > 3.09) and a significance value of 0.000 < 0.05. The Coefficient of Determination (R2) value indicates that the simultaneous contribution of commuter stress and workload variables to job burnout is 49.1%, while the remaining 50.9% is influenced by other variables outside of this study.

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