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Determinan Stress Kerja Dalam Organisasi: Kajian Literatur Sistematis Febriantina, Susan; Fathin, Anisyah; Rahma, Muthya; Lestari, Nara Yunita; Nurwati, Utami
Character Jurnal Penelitian Psikologi Vol. 12 No. 01 (2025): Character Jurnal Penelitian Psikologi
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/cjpp.v12n01.p89-102

Abstract

Stres kerja merupakan permasalahan signifikan dalam dunia organisasi yang berdampak pada kesejahteraan individu dan efektivitas organisasi secara keseluruhan. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor pemicu stres dalam lingkungan kerja, memahami dampaknya terhadap kinerja, serta mengevaluasi strategi penanganan stres yang efektif. Penelitian dilakukan dengan metode kajian literatur sistematis menggunakan pendekatan kualitatif, dengan menelusuri 31 artikel melalui Google Scholar yang kemudian diseleksi menjadi 15 artikel berdasarkan kualitas metodologi dan relevansi. Analisis tematik digunakan untuk mengkaji penyebab stres seperti beban kerja berlebihan, konflik peran, hubungan interpersonal yang buruk, perubahan teknologi, serta gaya kepemimpinan yang otoriter. Hasil kajian menunjukkan bahwa stres berdampak negatif terhadap kesehatan fisik dan mental, menurunkan motivasi serta produktivitas kerja, namun jika dikelola dengan baik juga dapat menjadi pendorong positif. Strategi penanganan yang diidentifikasi meliputi intervensi individu, seperti teknik relaksasi dan manajemen waktu, serta intervensi organisasi, seperti pelatihan manajemen stres, perbaikan komunikasi internal, dan penciptaan lingkungan kerja yang inklusif. Penelitian ini menyimpulkan bahwa pemahaman mendalam mengenai determinan stres kerja dan pendekatan penanganannya sangat penting untuk menciptakan lingkungan kerja yang sehat dan produktif, serta meningkatkan kesejahteraan dan kinerja karyawan. Abstract Work-related stress is a significant issue in organizational settings, affecting both individual well-being and overall organizational effectiveness. This study aims to identify the determinants of workplace stress, examine its impact on performance, and evaluate effective stress management strategies. Employing a qualitative systematic literature review method, 31 articles were initially retrieved through Google Scholar and refined to 15 based on methodological quality and relevance. A thematic analysis revealed key stressors including excessive workload, role conflict, poor interpersonal relationships, technological changes, and authoritarian leadership styles. The findings indicate that stress negatively affects physical and mental health, reduces motivation, and decreases work productivity. However, when properly managed, stress can also act as a positive driving force. Effective coping strategies include individual interventions such as relaxation techniques and time management, as well as organizational measures like stress management training, improved internal communication, and the development of inclusive work environments. This study concludes that a comprehensive understanding of the determinants of work stress and the implementation of appropriate coping strategies are essential to fostering a healthy and productive workplace, enhancing both employee well-being and organizational performance.
Green Algorithms: Unveiling the Role of AI in Shaping More Sustainable Consumers Suherdi; Ikhwan, Muhammad; Munawaroh; Aristanti, Wida; Rulita Nurfaizana, Della; Rahma, Muthya; Abrar, Syaifullah
Jurnal Riset Pendidikan Ekonomi Vol. 11 No. 1 (2026): APRIL
Publisher : Fakultas Ekonomika dan Bisnis, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jrpe.v11i1.12767

Abstract

This study aims to analyze the impact of information quality and service quality on customer satisfaction, with customer experience serving as a mediating variable within the context of artificial intelligence (AI)-based digital services. As Jakarta continues to evolve as a digital economic hub, the integration of AI into customer interactions has become crucial, yet it presents challenges regarding information accuracy and user trust. The research employs a quantitative approach, utilizing a survey method conducted among 350 university students in Jakarta who are active users of AI-driven digital platforms. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that both information quality and service quality have a significant positive influence on customer experience. Empirical results confirm that customer experience acts as a significant mediator in the relationship between the independent variables and customer satisfaction. The research model yielded an R-square value of 0.64 for customer satisfaction, demonstrating strong predictive power. These results emphasize that providing accurate information and responsive service is essential for creating a satisfying digital experience in the AI era. Practical implications suggest that digital service providers must prioritize the quality of automated system interactions to build sustainable relationships with consumers.