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All Journal Jurnal Konseling dan Pendidikan Lentera Negeri JRTI (Jurnal Riset Tindakan Indonesia)
Ifdil Ifdil
Univrsitas Negeri Padang, Padang
Religion Humanities Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Prolonged social withdrawal (hikikomori) and psychological distress in adolescents and young adults: a systematic review of depression, anxiety, and suicidality Ifdil Ifdil; Nur Adila Wafiqoh; M. Fahli Zatrahadi
Lentera Negeri Vol. 6 No. 1 (2025): Lentera Negeri
Publisher : Indonesian Institute For Counseling, Education and Therapy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/994100

Abstract

Prolonged withdrawal from society or social seclusion is a phenomenon often seen among the Japanese that is referred to as "hikikomori". It was first described as a culture-bound phenomenon but it has gradually become acknowledged as a public health problem; yet, there continues to be a limited number of studies showing a connection between it and mental distress. This comprehensive review combines a series of research works which look at the association of prolonged social reclusion with the occurrence of depression, anxiety, and suicidality among the youth. Under PRISMA 2020, three databases-Scopus, PubMed, and ScienceDirect-were interrogated to find relevant literature. A total of 532 records were found; out of these 15 were duplicates so removed, the remaining 517 were screened, 65 of which were evaluated, and 20 studies were finally included. The main variables of the reviewed studies such as population, study design, and outcomes were listed together, the quality of the mixed methods research was assessed with the use of the Mixed Methods Appraisal Tool, and the data were synthesized based on thematic analysis. The four main categories that resulted from clustering analyses were (a) prevalence and characterization, (b) depression and internalizing distress, (c) suicidality and self-harm, and (d) risk and protective factors. Results showed the withdrawal consistently being correlated with the presence of depression, and several-fold rises in suicidal ideation in the different samples were moderated by attachment, coping, loneliness, and Internet use. It is concluded that the findings call for earlier relational screening as well as longitudinal and cross-cultural research studies.
Reading the unspoken: a systematic review of multimodal artificial intelligence for detecting psychological and affective states from nonverbal cues Ifdil Ifdil; Nur Adila Wafiqoh Zulvi; M. Fahli Zatrahadi
JRTI (Jurnal Riset Tindakan Indonesia) Vol. 10 No. 3 (2025): 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: 10.29210/30036998000

Abstract

The psychological assessment is limited to only relying on the patients' self-reports, as they may not even understand or have the desire or capacity to express the distress they show with their body language such as facial movements, voice, gaze, posture, and physiology. This systematic literature review brings together the findings of multimodal artificial intelligence (AI), mainly the use of such a system in detecting psychological and affective states from nonverbal cues and examines whether it is ready for mental-health and counseling applications. Using PRISMA 2020, we identified the records from a Scopus search, then screened them by the predefined eligibility criteria and evaluated them with the tool for Mixed-Method Appraisal. The original list of 669 articles was reduced first by removing the duplicates to 665 screened articles, and among them, we selected 20 articles released in 2024, 2025 that fulfilled the criteria. The themes identified in the five modality Channels facial & micro expression, speech & acoustic, text & linguistic, physiologic, and body movement together with their amalgamation were compared against the target states which were mainly depression, general emotion, and concealed affect. Multimodal approach generally yielded better results than unimodal methods and recognized concealed distress and suicidality, but the research is limited in scope, data sets being very small, external validation is missing and ethical precautions are not even considered yet.
Beyond what people say: a systematic review of artificial intelligence-based detection of psychological non-disclosure and hidden mental states in counseling and mental health care Ifdil Ifdil; Nur Adila Wafiqoh Zulvi; M. Fahli Zatrahadi
JRTI (Jurnal Riset Tindakan Indonesia) Vol. 10 No. 4 (2025): 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: 10.29210/30036999000

Abstract

Not revealing psychologically distressing thoughts, symptoms, and experiences, that is, psychological non-disclosure, contributes to the failure of detection and treatment in many cases of mental illness. Since diagnostic methods mostly depend on self-reporting, such states often remain unrecognized. This article is a literature review and it summarizes the research on how AI and computational methods can be applied to detect psychological non-disclosure and secret states. According to PRISMA 2020, literature was searched using three databases: Scopus, PubMed, and ScienceDirect; only eligible sources were selected and the Mixed Methods Appraisal Tool was used for evaluating. After excluding duplicates only 791 records remained with 20 of those (2020-2025) being included. Six methods are mentioned: language and text analysis; speech and acoustic biomarkers; facial micro-expressions and physiological signals; large language model conversational systems; predictive machine learning; and disclosure augmentation. The study shows that multimodal AI can identify hidden distress, self-injury, and suicidal states although the knowledge is still not fully developed, validation is not enough, and safeguards against misuse remain weak. A framework mapping the different modalities to possible targets was suggested as well the article highlights the need for more thorough validation, transparent reporting, and privacy-preserving use of AI.
Facebook use intensity and time management among rural and urban housewives: A cross sectional comparative study with implications for mental health M. Fahli Zatrahadi; Syarifah Syarifah; Darmawati Darmawati; Ifdil Ifdil; Silvia Nofianti
Jurnal Konseling dan Pendidikan Vol. 14 No. 2 (2026): JKP
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1193400

Abstract

Facebook is widely used by Indonesian housewives for social, domestic, and economic purposes, yet little is known about whether the intensity of use is related to how they manage their time, and whether this differs between rural and urban settings. This cross-sectional comparative study examined Facebook use intensity, time management, and mental health among housewives in Riau Province, Indonesia. A total of 100 housewives aged 25–50 years (50 from Simaliyang Village, Kampar Regency, representing a rural setting, and 50 from Kampung Melayu, Pekanbaru City, representing an urban setting) were selected by simple random sampling within purposively chosen sites and completed Likert-type scales of Facebook use intensity, time management, and mental health. Data were analyzed using descriptive statistics, chi-square tests, independent-samples t-tests, and simple linear regression. The rural and urban groups did not differ significantly in age, education, employment, or daily duration of Facebook use. Rural housewives reported higher Facebook use intensity than urban housewives (t(98) = 2.13, p = .036, d = 0.43), whereas time management did not differ between settings (t(98) = −0.37, p = .714). Facebook use intensity was not associated with time management (r = .02, 95% CI [−.18, .22]; F(1, 98) = 0.05, p = .831; R² = .000). Most respondents in both settings fell into the moderate categories of time management and mental health. The findings suggest that the amount of Facebook use alone is a poor indicator of housewives' time management. Future research should examine the purposes of use, self-regulation, and structural factors, and counseling-based digital literacy programs should focus on how, rather than how much, social media is used.
Co-Authors Darmawati Darmawati M. Fahli Zatrahadi Nur Adila Wafiqoh Nur Adila Wafiqoh Zulvi Silvia Nofianti Syarifah Syarifah