Hayuningtyas, Krisbandaru
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Pengaruh Stimulus Media Kucing Lucu Terhadap Cute Aggression Sebagai Bentuk Ekspresi Dimorfik pada Mahasiswa Pecinta Kucing Hayuningtyas, Krisbandaru; Adilla, Neza Silma; Mazaya, Najif Rizqan; Hafsah, Refida Mutia; Radifan, Hashfi Rasis; Lestari, Selfiyani
JURNAL PSIKOLOGI INSIGHT Vol 8, No 2 (2024)
Publisher : Program Studi Psikologi Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/insight.v8i2.74942

Abstract

Manusia dapat memiliki cute aggression. Penelitian ini bertujuan untuk mengetahui adanya pengaruh stimulus foto kucing lucu terhadap cute aggression sebagai bentuk ekspresi dimorfik pada mahasiswa penggemar kucing. Penelitian ini menggunakan desain within subject satu kelompok. Pengambilan  sampel dilakukan dengan teknik non-random purposive sampling dengan kriteria  mahasiswa Psikologi Universitas Pendidikan Indonesia dengan rentang usia 18-25 tahun yang mencintai kucing. Pengolahan data dilakukan melalui uji normalitas dan analisis paired t-test. Prosedur eksperimen meliputi perekrutan partisipan, pretest, treatment, dan posttest. Hasil analisis paired t-test menunjukkan peningkatan signifikan dalam skor cute aggression setelah pemberian treatment, sehingga stimulus media kucing lucu memiliki pengaruh yang signifikan terhadap cute aggression sebagai bentuk ekspresi dimorfik pada mahasiswa pecinta kucing.
An Analysis of Gratitude Role as The Religiosity Form Towards Subjective Well-Being in College Students Hayuningtyas, Krisbandaru; Jenuri, Jenuri
Journal of Islamic and Contemporary Psychology Vol. 3 No. 1 (2023): Journal of Islamic and Contemporary Psychology (JICOP)
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jicop.v3i1.13179

Abstract

Every individual ran through a transitional period of self-development and also a school where the higher the level of education, the higher of demands that must be faced. The developmental age of students was the most productive age as well as being the age stage that was vulnerable to experiencing stress, physical fatigue, and mental fatigue. It can affect individual psychological well-being or often known as subjective well-being. One of the things that influence subjective well-being was gratitude. Gratitude was a form of religiosity that can increase positive emotions and affect thus it can affect good subjective well-being. Good subjective well-being will lead a person to life satisfaction, happiness, and success in his life. The method used the library study, the aim of research was to find out the description of the role of gratitude as a form of religiosity towards subjective well-being in college students.
Mapping and Synthesizing the Landscape of Artificial Intelligence and Technostress: A Hybrid Bibliometric and Systematic Review Approach Mulia Sari, Indah; Dahlan Hj. A. Malek, Mohd; Lestari, Selfiyani; Vania Khoerunnisa, Siti; Hayuningtyas, Krisbandaru
Psychological Research and Intervention Vol. 8 No. 2 (2025)
Publisher : Faculty of Psychology, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/pri.v8i2.91993

Abstract

The objective of this study is to map and synthesize the extant scientific literature concerning the relationship between Artificial Intelligence (AI) and technostress. To this end, a hybrid approach will be employed, integrating bibliometric analysis and a systematic literature review (SLR). As the adoption of artificial intelligence (AI) accelerates on a global scale, novel psychological stressors have emerged, extending beyond the conventional frameworks of information and communication technology (ICT). A comprehensive analysis of 34 empirical studies published between 2020 and 2025 was conducted to identify publication trends, conceptual developments, and the key mechanisms underlying AI-induced technostress. Bibliometric mapping reveals a significant surge in research output since 2023, with dominant contributions from China, India, Germany, and Spain. A thematic synthesis of the extant literature reveals that AI-induced technostress primarily emerges from three sources: cognitive overload, algorithmic complexity, and perceived loss of control. These mechanisms correspond to but also expand upon classical technostress creators. The findings further indicate that psychological outcomes such as burnout, anxiety, and reduced wellbeing frequently accompany AI integration. However, coping strategies, digital literacy, and organizational support serve as mitigating factors. The study's findings culminate in the proposal of an integrated conceptual model that incorporates the Technostress Model, Job Demands Resources (JD R) framework, technology acceptance theories, and Task Technology Fit (TTF). This model aims to enhance the explanatory power of the dual role of AI as both a demand-enhancing and resource-enhancing technological agent. Furthermore, it advocates for the utilization of longitudinal and cross-cultural research methodologies in future studies.