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All Journal Jurnal Psikologi Teori dan Terapan Jurnal Analisa Sosiologi Psikostudia : Jurnal Psikologi
Ananta Yudiarso
Faculty of Psychology, University of Surabaya
Humanities Education Environmental Science Public Health Social Sciences

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Application of Transformational Leadership Method to Increase Job Satisfaction Jemmi Halil Amiruddin; Ananta Yudiarso
Psikostudia : Jurnal Psikologi Vol 12, No 1 (2023): Psikostudia : Jurnal Psikologi
Publisher : Program Studi Psikologi, Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/psikostudia.v12i1.9749

Abstract

This study used meta-analysis through a literature review of 20 international research journals involving 5,047 participants from various professional backgrounds according to the research. This study aims to look at the relationship between leadership style (transformational leadership) and job satisfaction. The method used is meta-analysis with jamovi 1.2.27.0 using the Multifactor Leadership Questionnaire, Minnesota Satisfaction Questionnaire, Path-Goal Theory of Leadership Questionnaire and Job Satisfaction Survey/Scale measurement tools. The results obtained are that Transformational Leadership is effective in increasing job satisfaction (d=0.68; large effect size). The results of this study indicate that the transformational leadership style has a significant effect on increasing job satisfaction. The style of transformational leadership has a significant effect on job satisfaction in a good work environment, a good salary system, and certainty of the status of employees. It will be different if this leadership style is applied to organizations that still need a good work environment, a salary system that is not yet good, and the status of employee is uncertain.Penelitian ini menggunakan meta-analisis melalui review literatur 20 jurnal penelitian internasional melibatkan 5.047 partisipan dari berbagai latar belakang profesi sesuai penelitian. Penelitian ini bertujuan untuk melihat hubungan antara leadership style dan job satisfaction. Metode yang digunakan adalah meta-analisis dengan jamovi 1.2.27.0 menggunakan alat ukur Multifactor Leadership Questionnaire, Minnesota Satisfaction Questionnaire, Path-Goal Theory of Leadership Questionnaire dan Job Satisfaction Survey/Scale. Hasil yang didapatkan ialah Transformational Leadership efektif dalam meningkatkan job satisfaction (d=0,68; large effect size). Dari penelitian ini dapat disimpulkan bahwa gaya kepemimpinan transformasional (transformational leadership) berpengaruh signifikan untuk meningkatkan kepuasan kerja (job satisfaction). Gaya kepemimpinan transformasional (transformational leadership) berpengaruh signifikan terhadap kepuasan kerja (job satisfaction) pada lingkungan kerja yang bagus, sistem penggajian yang bagus, dan kepastian status pegawai/karyawan. Akan berbeda apabila gaya kepemimpinan tersebut diterapkan pada organisasi yang masih membutuhkan lingkungan kerja yang bagus, sistem penggajian yang belum bagus, dan status karyawan/pegawai yang belum pasti.
EXPLORING FINTECH LENDING USAGE IN INDONESIA THROUGH A SOCIO-CULTURAL AND PSYCHOLOGICAL PERSPECTIVE Magfiratul Fitria; Afandinata Ariawan; Zevanya Angelia; Ananta Yudiarso
Jurnal Analisa Sosiologi Vol 14, No 3 (2025)
Publisher : UNIVERSITAS SEBELAS MARET (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jas.v14i3.105412

Abstract

The rapid expansion of fintech lending in Indonesia has coincided with rising concerns over digital debt dependency, particularly among low-income and young populations. While regulatory and financial risks have dominated public discourse, less attention has been paid to the psychosocial and socio-cultural conditions underlying fintech lending behavior. This study examines the deviant aspects of fintech use through an integrated psychosocial-cultural lens, highlighting how such behaviors arise not solely from individual irresponsibility but from the intersection of emotional vulnerability, social marginalization, and the cultural normalisation of debt. A mixed-methods approach was employed. The first phase involved a scoping literature review to identify conceptual and theoretical gaps. The second phase applied supervised machine learning (SVM, Decision Tree, Random Forest, Neural Network) to national survey data (BPS and OJK) to detect behavioral patterns. The third phase conducted a thematic analysis of in-depth interviews with five fintech users from high-risk urban areas. The findings indicate consistent patterns of emotional fragility, fintech use dependency, institutional distrust, and symbolic adaptation to debt culture. These behaviors reflect structural and psychological deviance, where fintech use serves as both a coping strategy and a socio-cultural adaptation amid economic precarity and institutional exclusion. This study contributes to interdisciplinary scholarship by extending strain and labeling theories in tandem with psychological theories of vulnerability and coping, reframing fintech use as a socially and emotionally constructed adaptation rather than moral failure. Policy-wise, it calls for culturally grounded financial literacy, stronger digital consumer protection, and inclusive reforms that address systemic inequality and distrust in formal institutions
Social Media Addiction in Adolescents: A Psychological, Sociological, and Anthropological Study Using Mixed Method Machine Learning Nabila Nabila; Karin Azizy; Ananta Yudiarso
Jurnal Psikologi Teori dan Terapan Vol. 17 No. 02 (2026): Jurnal Psikologi Teori dan Terapan
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jptt.v17n02.p118-130

Abstract

Background: Social media addiction is a multidimensional issue affecting adolescent development in Indonesia. Objective: This study examined the influence of age, education, and regional minimum wage on adolescent social media addiction through psychological, sociological, and anthropological perspectives. Method: A mixed-methods design integrated machine-learning analysis of secondary data from the Indonesian Central Bureau of Statistics (BPS) with semi-structured interviews involving three adolescents showing indications of social media addiction. The interviews provided contextual insights rather than statistical generalization. Machine-learning algorithms identified the most influential predictors, while qualitative analysis explored social interaction, communication patterns, cultural values, identity construction, self-confidence, and mental health. Results: Age, educational status, and socioeconomic conditions emerged as important factors, with adolescents aged 13–20 years identified as the most vulnerable group. Social media also influenced identity formation and social interaction. Conclusion: Integrating machine learning with psychological, sociological, and anthropological perspectives provides a comprehensive understanding of adolescent social media addiction and supports future prevention and intervention strategies.
Co-Authors Afandinata Ariawan Jemmi Halil Amiruddin Karin Azizy Magfiratul Fitria Nabila Nabila Zevanya Angelia