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All Journal Jurnal SOLMA Bisma The Journal of Counseling Dewa Ruci : Jurnal Pengkajian dan Penciptaan Seni Jurnal Peduli Masyarakat Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Yumary: Jurnal Pengabdian kepada Masyarakat Harmonia: Journal of Arts Research and Education Buletin Konseling Inovatif Jurnal Kajian Bimbingan dan Konseling
Hidayatullah, Hengki Tri
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Arts Humanities Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Social Sciences Other

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Psychological Dynamics among Adolescents with Self-Harm Behavior Based on Rational Emotive Behavior Therapy Hidayatullah, Hengki Tri; Setiyowati, Arbin Janu; Simon, Irene Maya; Indriyati, Riyani; Mattingly, Maria Teresa
Jurnal Kajian Bimbingan dan Konseling
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The objective of this study was to ascertain the psychological underpinnings of self-harm behaviors among adolescents, with a particular emphasis on the tenets of rational emotive behavior therapy (REBT). Additionally, this study aimed to elucidate the various forms of self-harm behaviors and the underlying factors that contribute to these behaviors in adolescents. This research employed a qualitative approach with a phenomenological research design. The research subjects were students at State Senior High School 1 Batu, Indonesia, selected based on certain criteria in accordance with the research needs (purposive sampling). The results demonstrate three key aspects of the psychological dynamics of adolescents with self-harm behavior, namely cognitive, affective, and conative. These were mapped into the ABC model, which comprises three elements, namely activating events, irrational beliefs, and impacts. Forms of self-harm in adolescents include physical (slashing the hand) and non-physical (ignoring health, smoking, taking drugs, and staying up late). The background of adolescents committing self-harm behavior is influenced by both internal factors (dissatisfaction and loneliness) and external factors (family problems and modeling).
AI-Based Facial Expression Detection as a Support Feature for Cybercounseling: A Systematic Literature Review At Thaariq, Zahid Zufar; Hidayatullah, Hengki Tri
Buletin Konseling Inovatif Vol. 6, No. 2
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The rapid expansion of digital mental health services has increased the use of cybercounseling, while simultaneously introducing challenges in interpreting nonverbal cues, particularly facial expressions, within technology-mediated interactions. This study aims to systematically examine the potential of artificial intelligence (AI) in facial expression detection as a support feature in cybercounseling. A systematic literature review (SLR) was conducted following PRISMA guidelines, drawing from multiple indexed academic databases. The included studies covered AI-based facial expression recognition, micro-expression analysis, depression detection, and relevant multimodal approaches. The findings indicate that deep learning–based models are capable of identifying facial patterns associated with emotional and psychological conditions, including depression, with high accuracy in controlled datasets. Micro-expression analysis further enables the detection of subtle and concealed affective signals that are difficult to observe through human perception alone. However, the results also demonstrate that facial expressions cannot be treated as direct representations of psychological states, as their interpretation is influenced by expression intensity, contextual factors, and individual variability. In addition, multimodal approaches integrating facial, vocal, and physiological signals provide more comprehensive and reliable insights compared to unimodal systems. These findings suggest that AI-based facial expression detection holds potential as a supportive tool in cybercounseling, particularly for enhancing affective observation and identifying subtle emotional cues. Nevertheless, its use should remain complementary to professional judgment rather than as a standalone diagnostic mechanism. Current limitations include the dominance of dataset-driven studies, limited application in real counseling contexts, and insufficient attention to ethical considerations.
Co-Authors Abdullah, Dzulkifli Adi Atmoko Anshor, Sharifah Radiana Arbin Janu Setiyowati, Arbin Ardyansyah, Ananta At Thaariq, Zahid Zufar Devy Probowati Farhan, Ahmad Dhiauddin Fitri Wahyuni Henny Indreswari Hermawan, Salsabila Yuli Adys IM. Hambali Indriyati, Riyani Irene Maya Simon, Irene Ismail, Adzrool Idzwan bin Izza, Jasmine Nurul Khairul Bariyyah M Ramli M. Ramli Mattingly, Maria Teresa Muslihati Qonita, Fauziah Ilmi Rindiyanti, Rizki Rizka Apriani Rully Aprilia Zandra Surasak Jamnongsarn, Surasak Wahyuningsih, Rani Destia Widya Multisari