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Journal : Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis

Pengaruh Stres Kerja terhadap Burnout dengan Resilience sebagai Variabel Mediasi pada Perawat di RSUD dr. Achmad Darwis Kabupaten Lima Puluh Kota Rifatul Husna; Rini Sarianti
Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Vol. 5 No. 1 (2025): Maret : Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jaemb.v5i1.7688

Abstract

This study aims to analyze the influence of work stress on burnout in nurses, considering the mediating role of resilience. This research uses a quantitative approach with a survey method, involving 82 inpatient nurses as respondents. Data were analyzed using the Structural Equation Modeling–Partial Least Square (SEM–PLS) method through the SmartPLS 4 application. The research results indicate that work stress has a positive and significant effect on burnout, and a negative and significant effect on resilience. Resiliencealso has a significant negative impact on burnout and is proven to significantly mediate the relationship between work stress and burnout. This finding confirms that resilience is an important factor in reducing the risk of burnout in nurses facing high work pressure. Therefore, increasing nurses' resilience is an important strategy in overcoming burnout at RSUD dr. Achmad Darwis.
Pengaruh Work-Family Conflict terhadap Psychological Well-Being Perawat yang Bekerja di RSUP Dr. M. Djamil Padang Melalui Work-Life Balance Annesya Effendy; Rini Sarianti
Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Vol. 5 No. 1 (2025): Maret : Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jaemb.v5i1.7689

Abstract

Dr. M. Djamil Central General Hospital Padang is a type-A teaching hospital and the main referral center in Central Sumatra, where nurses especially married women face high work demands and rotating shifts, creating challenges in balancing professional and family roles. This study aims to examine the effect of work-family conflict on the psychological well-being of female nurses, with work-life balance as a mediating variable. The core issue addressed is the imbalance between occupational responsibilities and family obligations that may negatively impact psychological well-being. A quantitative approach was used, with a survey conducted on 104 married female nurses with children. Data were analyzed using the Structural Equation Modeling–Partial Least Square (SEM–PLS) method via the SmartPLS 4 application. The results show that work-family conflict negatively affects both psychological well-being and work-life balance, while work-life balance positively and significantly affects psychological well-being. Additionally, work-life balance significantly mediates the relationship between work-family conflict and psychological well-being. These findings emphasize the importance of balancing work and personal life to maintain nurses’ mental health. Therefore, organizational support such as flexible work policies and psychological wellness programs is essential to improve both professional performance and personal well-being among nurses.
Pengaruh Artificial Intelligence dalam Pembelajaran terhadap Self Management dengan Self Efficacy sebagai Variabel Mediasi pada Mahasiswa Fakultas Ekonomi dan Bisnis Universitas Negeri Padang Dzaky Arobi; Rini Sarianti
Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Vol. 5 No. 1 (2025): Maret : Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jaemb.v5i1.7940

Abstract

This study aims to examine the influence of artificial intelligence in learning on students' self-management, with self-efficacy as a mediating variable. The background of this research lies in the low ability of students to manage themselves effectively, which impacts delays in completing their studies. This is a causal research study. The population and sample consisted of students from the Faculty of Economics and Business at Universitas Negeri Padang. A total of 100 students were selected using cluster random sampling. Data were collected using a questionnaire with a Likert Scale. The analysis method employed was SEM-PLS using SmartPLS version 4.1.1 software. The results of the data analysis indicate that: (1) artificial intelligence in learning has a positive and significant effect on the self-management of FEB UNP students; (2) artificial intelligence in learning has a positive and significant effect on the self-efficacy of FEB UNP students; (3) self-efficacy has a positive and significant effect on the self-management of FEB UNP students; and (4) self-efficacy mediates the effect of artificial intelligence on the self-management of FEB UNP students.