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Oktavia, Stephanie
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AI Awareness dan Perceived Job Insecurity: Sebuah Studi Kuantitatif pada Karyawan Aktif Hartono, Agnes Yolanda; Tanadi, Clarissa Amellia; Colin, Stephanie Olga; Saraswati, Kiky Dwi Hapsari; Oktavia, Stephanie
Jurnal Ilmiah Psyche Vol. 19 No. 1 (2025): Jurnal Ilmiah Psyche : Ilmu Psikologi
Publisher : Direktorat Riset dan Pengabdian Masyarakat Universitas Bina Darma Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/gghfc152

Abstract

The advancement of artificial intelligence (AI) technology has significantly transformed organizational structures and work dynamics, introducing new challenges for employees in adapting to digital transformation. AI is increasingly integrated into various workplace systems and is influencing the role of human labor in organizations. This study aims to examine the relationship between AI awareness and perceived job insecurity among active employees from various professional fields. Using a quantitative approach with a correlational design, data were collected from 130 participants through an online questionnaire that included validated scales measuring AI Awareness and Job Insecurity. Normality tests showed that the data were not normally distributed; therefore, the hypothesis was tested using Spearman’s correlation analysis. The results revealed a strong and significant positive relationship between AI awareness and perceived job insecurity (r = 0.714, p < 0.001). These findings suggest that higher awareness of AI’s roles and impacts is associated with a greater sense of job insecurity, both in quantitative and qualitative aspects. Theoretically, this research contributes to the growing body of knowledge on the psychological effects of technological developments. Practically, the findings highlight the importance of implementing more human-centered change management strategies, including transparent communication and psychological support for employees. The study’s limitations include the use of non-probability sampling and a relatively small sample size, which restrict generalizability. Future research is recommended to broaden the sample scope across work sectors and to explore potential mediating or moderating variables in the relationship between AI awareness and job insecurity.
Kesetaraan Gender dan Sikap terhadap AI dalam Rangka Bela Negara Pada Generasi Z Agnes Yolanda Hartono, Agnes; Olivia Kusuma, Carla; Oktavia, Stephanie; Arianto, Deborah; Chezya, Glaeny; Markus Idulfilastri, Rita; Hendra, Pamela Hendr
Jurnal Ilmiah Psyche Vol. 19 No. 2 (2025): Jurnal Ilmiah Psyche
Publisher : Direktorat Riset dan Pengabdian Masyarakat Universitas Bina Darma Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/v25cn123

Abstract

This study examines the influence of gender equality on Generation Z's attitudes toward artificial intelligence (AI) in the context of digital national defense. A total of 171 university students aged 18–25 years old were involved as respondents, consisting of 95 women and 76 men. Analysis using the Mann-Whitney test showed a significant difference in attitudes toward AI between men and women, where women scored higher (mean rank = 93.10) than men (mean rank = 77.13). However, no significant difference was found in the level of gender equality between the two. The results of the correlation test showed a strong positive relationship between gender equality and attitudes toward AI, with a correlation value of 0.689. In addition, the results of the regression analysis showed that gender equality contributed 48% to the formation of Generation Z's attitudes toward AI. This means that the higher the level of gender equality, the more positive their attitudes toward the use of artificial intelligence-based technology. Other factors outside the gender equality variable were not examined in this study. These findings confirm that gender equality plays a significant role in shaping Generation Z's readiness and participation in digital national defense. The results of this study are expected to form the basis for the development of inclusive digital literacy and gender-equitable technology policies in Indonesia.