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Pengaruh mewarnai mandala dalam mengurangi stres pada narapidana di Lapas Kelas I Makassar Alifia Ainun Rizky; Widyastuti Widyastuti; Ahmad Ridfah
Jurnal Psikologi Udayana Vol. 7 No. 1 (2020)
Publisher : Program Studi Sarjana Psikologi, Fakultas Kedokteran, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JPU.2020.v07.i01.p07

Abstract

Narapidana di Lapas Kelas I Makassar memiliki permasalahan baik secara fisik maupun psikis yang kompleks selama menjalani masa tahanan. Hal tersebut menjadi salah satu faktor narapidana mengalami stres di dalam Lapas. Penelitian ini bertujuan untuk mengetahui pengaruh mewarnai mandala dalam mengurangi stres yang dialami oleh narapidana di Lapas Kelas I Makassar. Subjek penelitian berjumlah 11 (N=11) narapidana yang memiliki tingkat stres yang berat. Penelitian ini menggunakan desain penelitian kuasi eksperimen the one-group pretest-posttest design. Alat ukur dalam penelitian ini menggunakan skala stres yang disusun oleh Lovibond dan Lovibond dan telah diadaptasi kedalam Bahasa Indonesia oleh Damanik dengan nilai reliabilitas 0,878. Analisis data menggunakan analisis statistik nonparametrik uji Wilcoxon. Hasil penelitian menunjukkan bahwa nilai p sebesar 0,002, sehingga 0,002 < 0,05 dan dapat disimpulkan bahwa mewarnai mandala berpengaruh dalam mengurangi stres pada narapidana. Implikasi dari penelitian ini adalah mewarnai mandala dapat digunakan sebagai salah satu metode intervensi dalam mengurangi stres yang dialami khususnya pada narapidana.
Process Consultation in Improving the Effectiveness of Regional Police Competent Sub-Division Groups: A Qualitative Study Alifia Ainun Rizky; Arsianita Nur Fattah
Business Research and Administration Innovation Vol. 3 No. 1 (2026): BRAIN - APRIL
Publisher : Fakultas Ilmu Sosial dan Hukum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32457/brain.v3i1.60

Abstract

This study examines the effectiveness of the Competency Sub-Division (Subbagkompeten) group at the Human Resources Bureau (Ro SDM) of the X Regional Police using a qualitative approach with the group-level diagnostic model from Cummings and Worley (2015). The study aims to describe the dynamics of group effectiveness in terms of input, goal clarity, task structure, group composition, group functioning, and work norms, and to design appropriate interventions. Data were collected through semi-structured interviews with six participants (one sub-division head, one affairs officer, and four administrative non-commissioned officers), supported by observations, questionnaires, and document studies from September to December 2022. Data analysis was conducted using verbatim and stream analysis approaches. The results show that the overall effectiveness of the Sub-Division is in the high category, but there are significant problems in the group functioning component, particularly related to the lack of personal initiative in decision-making and dependence on external communication on a single personnel. These findings cause obstacles to achieving group output. Based on the diagnostic results, this study recommends process consultation intervention as an appropriate approach to improve communication, interpersonal relationships, and overall group effectiveness. This research provides a practical contribution to police organizations in managing human resources at the work group level
Artificial Intelligence In The Workplace: A Systematic Literature Review Of Psychological Impact, Employee Well-Being, And Managerial Implications Alifia Ainun Rizky
Business Research and Administration Innovation Vol. 3 No. 1 (2026): BRAIN - APRIL
Publisher : Fakultas Ilmu Sosial dan Hukum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32457/brain.v3i1.61

Abstract

Artificial intelligence (AI) has fundamentally changed the way humans work, interact, and make decisions in organizational settings. This article presents a systematic literature review of empirical research published between 2020 and 2024, focusing on the psychological impact of AI on employees, its implications for workplace well-being, and the challenges and opportunities in human resource management (HRM). Using a qualitative-narrative approach, 30 articles from internationally reputable journals were analyzed using an antecedent-phenomenon-consequence framework. The findings indicate that the adoption of AI in the workplace has a dual impact: on the one hand, it increases efficiency, work engagement, and data-driven decision-making; on the other hand, it raises anxiety, technostress, and fear of job loss. Moderating variables such as trust in AI, career orientation, and psychological resilience play a significant role in determining individual responses to AI-based changes. Theoretical and practical implications for lecturers, managers, and policymakers are discussed in depth.