M. Agung Rahmadi
Universitas Alwasliyah Medan

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Behavioral dynamics of halal cryptocurrency investing: cognitive and emotional mechanisms within islamic finance principles M. Syukri; Ade Sofyan Mulazid; M. Agung Rahmadi; Luthfiah Mawar; Helsa Nasution; Nurzahara Sihombing
Jurnal Konseling dan Pendidikan Vol. 13 No. 4 (2025): JKP
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1201700

Abstract

This study comprehensively investigates the influence of cognitive biases, emotions, and Islamic legal understanding on halal cryptocurrency investment decisions among Muslim investors. Employing a Meta-Structural Equation Modeling (MASEM) approach, the analysis is based on data from 12,780 respondents in Muslim-majority countries to identify patterns of relationships among key variables. The primary findings of this research affirm that overconfidence has a significant positive impact on investment intention (β = 0.41, p < 0.01), consistent with Shiller (2017), who highlighted that excessive confidence can drive risk-taking behavior in financial markets. Conversely, loss aversion demonstrates a significant negative effect (β = -0.53, p < 0.01), aligning with Kahneman and Tversky's (2013) findings regarding preferences for avoiding losses under uncertainty. Regarding emotional factors, anxiety about price volatility is a major deterrent to investment (β = -0.54, p < 0.01). However, a Sharia-compliant label mitigates negative perceptions among Muslim investors toward cryptocurrency investments, enhancing their sense of security and trust (β = 0.36, p < 0.05). Lastly, understanding Islamic law significantly influences confidence in halal investments (β = 0.39, p < 0.05), corroborating the findings of El-Gamal (2006) and Din (2021) while underscoring the importance of Sharia-based financial literacy. The novelty of this study lies in its multidimensional integration of psychological behavior (cognitive biases and emotions) and Islamic law, thereby expanding the horizons of prior research. Consequently, this research contributes to the foundation of a new construct and provides practical guidance for developing Sharia-compliant financial products in the digital era.
Intergenerational Trauma in the Aleppo Community: An Analysis of 13 Years of Conflict Nurzahara Sihombing; M. Agung Rahmadi; Fairuz Azzahra; Sila Tsabita Zahra; Nafiza Fadhilatul Ulya Damanik; Helsa Nasution; Luthfiah Mawar; Winda Yulia Gitania Br Sembiring
Jurnal Ventilator Vol. 4 No. 1 (2026): Jurnal Ventilator
Publisher : Stikes Kesdam IV/Diponegoro Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59680/ventilator.v4i1.2206

Abstract

This meta-analysis provides an in-depth evaluation of the dynamics of intergenerational trauma within the Aleppo community over 13 years of armed conflict (2011–2024) through a systematic synthesis of 47 empirical studies involving 12,873 cross-generational participants. The results reveal an exceptionally high psychopathological burden, with PTSD prevalence reaching 68.4% (95% CI = 65.2–71.6) in the first generation and 42.3% (95% CI = 39.1–45.5) in the second generation, indicating a persistent transmission of trauma. Multilevel regression demonstrates a strong and significant association between parental trauma severity and the manifestation of traumatic symptoms in children (r = 0.62, p < .001), underscoring the role of cross-generational determinants in contexts of protracted conflict. Major depressive disorder is identified in 55.7% of parents and 37.2% of children, while anxiety prevalence reaches 61.3% in the first generation and 44.8% in the second generation. Structural equation modeling reveals three principal pathways of trauma transmission, namely maladaptive parenting patterns dysfunctional family communication, and anxiety modeling processes. These findings extend beyond the analyses of Amping et al. (2024) and Rousseau (1998), which focus on single-generation transmission, by identifying more complex cross-generational mechanisms while simultaneously revealing the presence of significant communal resilience (ICC = 0.72), thereby opening strategic space for the development of community-based interventions to disrupt the cycle of intergenerational trauma.
Implementation of Telemedicine for Mental Health Services in Conflict-Affected Areas of the Middle East M. Agung Rahmadi; Luthfiah Mawar; Jenni Artika Saragih; Sri Wahyuni; Anggun Sukma Ariyanti; Helsa Nasution; Nurzahara Sihombing; Nazlah Khodijah; Annisa Ardianti Br Tarigan
An-Najat Vol. 4 No. 1 (2026): Februari: An-Najat : Jurnal Ilmu Farmasi dan Kesehatan
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/an-najat.v4i1.3613

Abstract

This study evaluates the effectiveness of telemedicine in the provision of mental health services in Middle Eastern conflict regions through a systematic meta-review of 47 studies published between 2014 and 2024, involving a total of 12,487 participants. Quantitative synthesis demonstrates a statistically significant increase in mental health service accessibility, with a mean improvement of 73.4% and a 95% confidence interval of 68.2–78.6% compared with conventional service models. Patient satisfaction reached 82.6% with p<0.001, accompanied by a substantial reduction in depressive symptoms with an effect size of Cohen's d=0.79 and a reduction in anxiety symptoms with Cohen's d=0.84. Multilevel regression analysis revealed a strong correlation between the frequency of telemedicine sessions and improvements in clinical outcomes (r = 0.67, p < 0.001). When compared with the findings of Ruzek et al. (2016) and Yeager et al. (2022), which reported effectiveness in the range of 45–55%, this study demonstrates higher effectiveness in the treatment of war-related trauma at 78.9% (p<0.001). In contrast to Graham et al. (2021), which focused on urban populations, the present findings affirm the effectiveness of telemedicine in rural areas with infrastructural limitations, as reflected in a success rate of 71.2%. Another innovative finding indicates that integrating AI-powered chatbots increased patient engagement by 42.8% while simultaneously reducing dropout rates by 31.5% compared with conventional telemedicine approaches.