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All Journal Jurnal Konseling dan Pendidikan Journal of Counseling, Education and Society SCHOULID: Indonesian Journal of School Counseling JRTI (Jurnal Riset Tindakan Indonesia)
Nur Adila Wafiqoh Zulvi
Center for Educational Neuroscience, Trauma, and Human Behavior, Universitas Negeri Padang
Religion Humanities Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Trauma-informed leadership: a systematic literature review of leadership behaviours, employee well-being, organizational resilience, and psychological recovery Nilma Zola; Ifdil Ifdil; M. Fahli Zatrahadi; Nur Adila Wafiqoh Zulvi
Journal of Counseling, Education and Society Vol. 7 No. 1 (2026): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/08jces693700

Abstract

Trauma is practically built into modern work now. Employees in healthcare, education, child welfare, policing, and social care routinely face stress, vicarious traumatization, and outright adversity. This review pulls together the evidence on what trauma-informed leadership actually does to leader behaviours, staff well-being, organizational resilience, and psychological recovery. The search followed PRISMA 2020, and Scopus was queried across trauma-informed practice, leadership, and workforce outcomes. That search returned 101 records. Once duplicates were removed and the full screening was done, 15 studies made it through. Four findings came out of the synthesis. First, trauma-informed leadership works as a relational, self-regulating practice rooted in trauma neurobiology, not as some managerial technique you can just bolt on. Second, when leadership is built on safety, trustworthiness, choice, collaboration, and empowerment, well-being improves, affective commitment goes up, and burnout drops. Third, that kind of leadership strengthened resilience during crises, COVID-19 being the clearest case. Fourth, psychological recovery turns out to be a collective process, one that leadership enables rather than directs. The review extends servant and transformational leadership theory, and it gives a practical foundation for trauma-informed leadership development, policy, and workforce mental-health strategies. What is still missing is longitudinal, multi-sector, causal research, and that is where future work should point.
Digital grief and bereavement in the social media era: a systematic literature review of psychological adaptation, online mourning, and counseling interventions Nilma Zola; Ifdil Ifdil; M. Fahli Zatrahadi; Nur Adila Wafiqoh Zulvi
Journal of Counseling, Education and Society Vol. 7 No. 1 (2026): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/08jces693800

Abstract

Death, loss, and mourning are universal experiences, yet contexts of grief have been transformed by social media and digital technologies. This systematic literature review synthesized evidence on digital grief and bereavement, focusing on online mourning, adaptation, and technology-mediated counseling. Following PRISMA 2020, a Scopus search identified 633 records; 622 were screened after exclusions, 61 full texts assessed, and 10 studies retained for synthesis, supported by 50 sources. Thematic synthesis addressed three research questions and bibliometric analysis. Three findings emerged. First, online spaces offer accessible, anonymous, and asynchronous support for stigmatized losses such as suicide, perinatal loss, and infertility-related grief. Second, digital mourning has ambivalent effects, providing social support and continuing bonds while potentially exposing mourners to distress contagion, harmful content, and isolation. Third, internet-based self-help, cognitive therapy, and co-designed resources show acceptability and feasibility, although effectiveness evidence remains limited. Future research should emphasize controlled trials, longitudinal designs, diversity, and safeguarding.
The digital counselor in sport: a systematic review of AI-mediated psychological counseling, emotional support, and mental health care for athletes Nilma Zola; Ifdil Ifdil; M. Fahli Zatrahadi; Nur Adila Wafiqoh Zulvi
SCHOULID: Indonesian Journal of School Counseling Vol. 11 No. 1 (2026): SCHOULID: Indonesian Journal of School Counseling
Publisher : Indonesian Counselor Association (IKI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23916/086863011

Abstract

Difficulties that affect mental health among athletes are now more widely understood, but issues such as the stigma, limited resources, and constraints due to schedule all these factors prevent a regular psycho-support being provided to the athletes. Artificial intelligence (AI) and other digital technologies have appeared as alternative avenues for providing counseling, emotional support, and mental-health care for athletes, although supporting evidence in this area is currently limited and scattered. This article is an up-to-date review of literature which focuses on understanding how AI and various digital technologies are developed and used for providing mental support to athletes and the results, as well as the design factors and gaps that either promote the usage or limit its adoption. Records were taken by searching Scopus, PubMed, and ScienceDirect for studies and then a filtering was done based on predefined criteria of inclusion for eligibility. Of the 164 records that were retrieved first, 15 were marked as duplicates, 149 were checked by title, abstract, or keywords, 41 full texts were reviewed, which culminated in the final selection of 21 papers. Methodological Quality was checked using the Mixed Methods Appraisal Tool. The findings are related to a few categories such as the Chatbots and Large LanguageModel-based Advisors as counselors, e-mental health adoption, assessment and emotion regulation through artificial intelligence (AI) and AI training.
From sensing to self-regulation: a systematic review of biofeedback and neurofeedback interventions for mental health and stress regulation in athletes Nilma Zola; Ifdil Ifdil; M. Fahli Zatrahadi; Nur Adila Wafiqoh Zulvi
JRTI (Jurnal Riset Tindakan Indonesia) Vol. 11 No. 1 (2026): JRTI (Jurnal Riset Tindakan Indonesia)
Publisher : IICET (Indonesian Institute for Counseling, Education and Therapy)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/30036997000

Abstract

Competitive sport puts a lot of stress on both the body and mind, and biofeedback and neurofeedback techniques are new ways to help with stress regulation and athlete mental health support by using sensors and tailoring a personal plan. This systematic review is summarizing the research evidence from these areas that show the impact on mental health aspects and psychophysiological stress regulation. Alongside modalities like HRV biofeedback and modalities of psychological indicators were also examined in the study. By applying the guidelines of a PRISMA systematic review, a Scopus database search 2015, 2026 revealed 629 records. Only one duplicate was removed, 628 titles and abstracts were checked, 31 full papers were critically reviewed, leading to 18 studies that were purely data based. The quality of those included studies was assessed by means of the Mixed Methods Appraisal Tool and their results were thematically combined. HRV biofeedback was the most commonly used technique (7 studies), followed by peripheral multi-modal biofeedback (6), combination HRV-EEG method (2), EEG/scpneurofeedback (2), and paced breathing (1). The most common positive changes were stress and cortisol levels (8), anxiety (5), attention/cognition (5), autonomic regulation (4), and recovery-stress balance (3). In general, the interventions demonstrated good results, such as the lowering of anxiety and perceived stress and the enhancement of autonomic flexibility. Nevertheless, the small number of participants, the different nature of the methods, and very few trials of this type with an active control make one cautious. Well-designed clinical trials with random allocation, appropriate sample sizes, and validated outcome measures are required.
Explainable artificial intelligence in mental health assessment: a systematic review of interpretability techniques, trust, and clinical adoption Nilma Zola; Ifdil Ifdil; M. Fahli Zatrahadi; Nur Adila Wafiqoh Zulvi
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: 10.29210/1228100

Abstract

Machine learning is now woven into mental health assessment, and the predictive models it produces are impressively accurate. Yet the black-box nature of those models keeps raising the same worries: transparency, clinician trust, and whether they can be adopted safely in practice. Explainable AI, or XAI, is often proposed as the answer, though the evidence on where it helps and how much is still scattered. We ran a systematic review following PRISMA 2020 to pull that evidence together. A structured search of Scopus turned up 403 records. After 18 duplicates were removed, 385 went into screening; 75 full texts were assessed, and 15 studies, all published between 2021 and 2025, made it into the final pool. Study design, mental health condition, modality, XAI technique, interpretability, trust, and clinical utility were all captured and synthesised thematically. Three things stood out. First, SHAP and other post-hoc feature-attribution techniques dominated the field, appearing across work on depression, suicide risk, stress, and anxiety alike. Second, explanation quality did shape trust and acceptance, but remarkably few studies actually involved human participants. Third, heterogeneity, small samples, geographic bias, and a lack of standardised metrics all limited how far the results could be compared or translated into practice. Where should the field go next? Priorities include clinician-in-the-loop evaluation, standardised reporting of explanation quality, and equitable external validation.
Co-Authors Ifdil Ifdil M. Fahli Zatrahadi Nilma Zola