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Investigating Workplace Music Preferences and Their Role in Employee Productivity and Well-Being: A Cross-Sectional Study in Indonesia Zandra, Rully Aprilia; Jamnongsarn, Surasak; Ismail, Adzrool Idzwan bin; Setiyowati, Arbin Janu; Hidayatullah, Hengki Tri
Harmonia: Journal of Arts Research and Education Vol. 25 No. 2 (2025): December 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/harmonia.v25i2.24409

Abstract

Music is conventionally perceived as a medium of entertainment and artistic expression. However, among employees, music assumes a broader functional role, supporting productivity and psychological well-being across diverse workplace contexts. This study aimed to investigate the functional role of music among employees experiencing work-related stress and low motivation. A cross-sectional study was administered to 500 employees representing various socioeconomic and educational backgrounds. Participants reported their musical preferences and the perceived psychological impacts of music during different emotional states at work. Data analysis, including word cloud visualization and heatmap modeling, revealed that genres such as Pop and Dangdut dominated across both emotional conditions. However, the functional objectives of music usage differed; employees experiencing stress favored music for emotional balance and familiar comfort, while those facing low motivation preferred music that energized and re-engaged cognitive resources. The findings highlight that music serves adaptive emotional and cognitive regulatory functions, leading to increased productivity, emotional stabilization, and sustained concentration. These results offer practical implications for workplace well-being strategies, emphasizing the potential of personalized auditory environments in enhancing employee resilience and performance.
AI-Generated Responses to Sensitive Pesantren Cases for Musyrif/Musyrifah Counseling Communication Training: A Snapshot Study Hidayatullah, Hengki Tri; Setiyowati, Arbin Janu; Muslihati
G-Couns: Jurnal Bimbingan dan Konseling Vol. 10 No. 02 (2026): April 2026, G-Couns: Jurnal Bimbingan dan Konseling
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/g-couns.v10i02.8646

Abstract

Pesantren increasingly face psychosocial issues such as bullying and harassment, requiring sensitive interventions. Musyrif/musyrifah often serve as first responders but lack formal counseling or Psychological First Aid (PFA) training. This snapshot study examines the feasibility of large language models (LLMs) as simulators for developing counseling communication skills in pesantren contexts. Five LLMs: Gemini, DeepSeek, ChatGPT, Claude, and Meta AI, were tested using a culturally relevant case scenario. Their counseling responses were evaluated through a seven-skill rubric: attending, empathy, reflection, clarification, paraphrasing, summarizing, and nonverbal sensitivity. Five raters independently scored the outputs. Gemini achieved the highest mean (M = 4.89), followed by DeepSeek (M = 4.71) and ChatGPT-5 (M = 4.57). Claude (M = 3.86) and Meta AI (M = 3.20) scored lower, especially in nonverbal sensitivity. The study concludes that advanced LLMs, particularly Gemini and DeepSeek, show strong potential as scalable, culturally adaptive tools to strengthen counseling readiness in pesantren. Keywords: AI-assisted counseling, psychological first aid counseling communication, pesantren mental health, safe learning environment
A Model of Academic Well-Being: An Integrative Review of Faculty and Staff Mental Health in Higher Education Arbin Janu Setiyowati; Nasih, Ahmad Munjin; Puspitasari, Poppy; Rahmawati, Hetti; Awalya Siska Pratiwi; Hidayatullah, Hengki Tri
G-Couns: Jurnal Bimbingan dan Konseling Vol. 10 No. 02 (2026): April 2026, G-Couns: Jurnal Bimbingan dan Konseling
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/g-couns.v10i02.8789

Abstract

The well-being of faculty and staff in higher education has increasingly become a global concern, particularly during the COVID-19 pandemic. However, existing research remains fragmented and lacks a unified theoretical framework. This study aimed to synthesize empirical evidence on faculty and staff mental health and to develop an integrative Academic Well-Being model for higher-education settings. A Systematic Integrative Review (SLR) was conducted in accordance with PRISMA 2020. Seventeen peer-reviewed international studies published between 2017 and 2025 were analyzed through thematic synthesis. The findings reveal that academic well-being is a multidimensional construct encompassing eight key dimensions: psychological, social, organizational, spiritual, physical, digital, financial, and cultural policy. Psychological well-being and empathetic leadership emerged as central determinants, while digital adaptation, spiritual meaning, and financial security are emerging factors in the post-pandemic period. The synthesis resulted in an Ecological Model of Academic Well-Being (EAWB) comprising four nested levels: individual, interpersonal, organizational, and cultural systemic that interact dynamically to shape mental health and professional flourishing in academia. The model highlights that sustainable well-being arises not from personal resilience but from compassionate leadership, organizational justice, and inclusive cultures. This review contributes a holistic framework for transforming universities into compassionate ecosystems. Keywords: academic well-being model, mental health, university staff, higher education
Implementasi Konselor Sebaya Tersupervisi untuk Penguatan Dukungan Psikososial di Pesantren Setiyowati, Arbin Janu; Multisari, Widya; Pratiwi, Awalya Siska; Hidayatullah, Hengki Tri
Yumary: Jurnal Pengabdian kepada Masyarakat Vol 6 No 3 (2026): Maret
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/yumary.v6i3.5715

Abstract

Purpose: Islamic boarding schools in Indonesia, as boarding educational institutions, play a strategic role in developing the character and life skills of their students. The implementation of peer counsellors through a supervised prospective trainer scheme in Islamic boarding schools aims to strengthen the psychosocial support of students while simultaneously developing a sustainable intervention model appropriate to the Islamic boarding education. Research Methodology: The community service program was implemented using a variety of lecture methods to convey peer counselling concepts, guided discussions and assignments to deepen the material, workshops for practical counselling skills training, and mentoring to bridge the role of peer counsellors with school counsellors in service implementation. Results: The results showed an increase in post-test scores for all participants compared to the pre-test. This finding indicates that supervised training positively contributed to improving participants' reflective abilities and readiness to carry out their roles as peer counsellors. Conclusions: This community service activity proved effective in improving knowledge, skills, and readiness as peer counsellors, particularly in their understanding of psychosocial support and basic counselling skills such as empathy, reflective listening, and supportive communication. Limitations: Program limitations include the limited number of participants at one partner Islamic boarding school, the relatively short duration of mentoring, and the evaluation's inability to systematically measure the direct impact on the psychological well-being of the students receiving the services. Contributions: This program provides practical guidance for Islamic boarding schools in developing a friendly, accessible, and sustainable psychosocial support system through the empowerment of trained peer counsellors.
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 Vol. 9, No. 2
Publisher : citeus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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
Publisher : citeus

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Abstract

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.
Sounding emotions: an integrative review on ai-generated music and expressive lyric writing to support students with verbal expression challenges Zandra, Rully Aprilia; Setiyowati, Arbin Janu; Hidayatullah, Hengki Tri
Psikopedagogia Vol. 15 No. 2 (2025): December 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/psikopedagogia.v15i2.31085

Abstract

This integrative review investigates the potential of expressive lyric writing and AI-generated music as alternative, non-verbal modalities to support emotional articulation and well-being among students—particularly in secondary school and counseling program settings—who face challenges in verbal expression. Students with limited verbal communication skills often struggle to articulate their emotional experiences through conventional language-based approaches, leaving them vulnerable to emotional suppression and psychological distress. Drawing from a systematic synthesis of 18 peer-reviewed articles published between 2011 and 2025, this review integrates findings across diverse methodologies (qualitative, experimental, computational, and mixed-methods) and geographic contexts. Two thematic clusters emerged: (1) expressive lyrics as a medium of emotional catharsis and identity construction, and (2) music—particularly instrumental, adaptive, and AI-generated—as a channel for affective resonance and personalized emotional support. The findings suggest that lyrics and music not only serve as creative outlets but also function as therapeutic tools that bridge emotional expression and psychological reflection. Building on this synthesis, the review proposes an integrative model that guides students from emotion-based lyric writing to AI-facilitated musical interpretation, culminating in counselor-guided interventions. This model offers a structured yet flexible approach to enhancing emotional literacy and engagement for students with communicative limitations. The review concludes by calling for further empirical testing of the model and deeper integration of expressive arts and intelligent technologies into school-based counseling and mental health programs.
A Mixed Method Content Analysis of Kejhung Madura on Digital Platforms: Cultural Identity through Oral Music Performance Zandra, Rully Aprilia; andajani, Kusubakti; Hidajat, Robby; Ismail, Adzrool Idzwan; Hidayatullah, Hengki Tri
Resital: Jurnal Seni Pertunjukan Vol 26, No 3 (2025): Desember 2025
Publisher : Institut Seni Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24821/resital.v26i3.2695

Abstract

This study investigates the representation and preservation of Kejhung Madura, a traditional oral vocal art from Indonesia, within digital media ecosystems. Using a mixed-method content analysis integrating quantitative and qualitative approaches, this research analyzed 119 videos featuring Kejhung Madura across YouTube, TikTok, Facebook, and YouTube Shorts. Quantitative data, such as views, likes, comments, and shares were statistically examined to evaluate audience engagement, while qualitative thematic analysis explored videographic characteristics including duration, lighting, camera movement, and expressive performance. Results show that TikTok generates the highest visibility and engagement, reflecting the adaptability of Kejhung within short-form, algorithm-driven platforms. In contrast, YouTube and Facebook function as digital archives, hosting long-form documentation that maintains cultural integrity. Most videos emphasize individual expression, close-up framing, and natural lighting, indicating a shift from collective performance toward personalized digital reinterpretation. The findings highlight that digital media not only archives but also recontextualizes traditional music into participatory, democratized forms of cultural identity. Therefore, strategic hybridization through creative short clips for engagement and longer formats for preservation can sustain Kejhung Madura’s relevance in the digital era. This study contributes to ethnomusicology and digital heritage studies by demonstrating how oral performance traditions can evolve within global digital culture while retaining their local authenticity.