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Evaluating the Impact of the Nyala App on Depressive Symptoms and Suicidal Risk Among Adolescents Yuliastuti, Estin; Siswanto, Hery; Herdaetha, Adriesti; Oktaviana, Tias Riski; Rahman, Ilyas Fathur
Malahayati Nursing Journal Vol 7, No 12 (2025): Volume 7 Nomor 12 (2025)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/mnj.v7i12.23168

Abstract

ABSTRACT Adolescent depression and suicide remain pressing global health concerns, particularly in low- and middle-income countries where access to mental health services is limited. Digital interventions have emerged as promising, accessible, and stigma-free alternatives for promoting youth mental health. This study aimed to evaluate the impact of the Nyala app on depressive symptoms and suicidal risk among adolescents. A posttest-only control group design was employed involving 40 adolescents aged 12–15 years from a private junior high school in Surakarta. Participants were divided into intervention (n = 20) and control (n = 20) groups. The intervention group used the Nyala app—which integrates psychoeducation, mood tracking, thought diary, and SOS crisis support—for two weeks. Depressive symptoms and suicidal risk were measured using the  PHQ-9 and SBQ-R. Data were analyzed using the Mann–Whitney U test. The intervention group showed significantly lower mean scores for depressive symptoms (M = 2.35, SD = 2.64) compared to the control group (M = 8.50, SD = 7.02; p < 0.001). Similarly, suicidal risk scores were lower in the intervention group (M = 4.00, SD = 0.00) than in the control group (M = 4.55, SD = 2.84; p < 0.001). The Nyala app effectively reduced depressive symptoms and suicidal risk among adolescents. These findings support the integration of digital tools like Nyala into adolescent mental health services, especially in resource-limited and stigma-sensitive settings. Keywords: Adolescent Mental Health, Depression, Suicide Risk, Digital Intervention, Mobile Health, Nyala App.
GEMA TANGGUH Model: Integrating Early Warning and Simulation to Strengthen Early Childhood Teacher Resilience Wijayanti, Wijayanti; Nugroho, Eko; Siswanto, Hery
Jurnal Empathy Pengabdian Kepada Masyarakat Jurnal Empathy Pengabdian Kepada Masyarakat Volume 6 Number 2 Year 2025
Publisher : Poltekkes Kemenkes Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37341/jurnalempathy.v6i2.359

Abstract

Background: Indonesia is among the world’s most disaster-prone countries, where early childhood education (ECE) institutions remain vulnerable due to limited preparedness and infrastructure. Teachers often lack confidence and structured procedures for emergency situations. This study aimed to evaluate the effectiveness of the GEMA TANGGUH (Movement for Mitigation and Education to Improve Disaster Response) model in enhancing the holistic resilience—cognitive, affective, and psychomotor—of ECE teachers. Methods: This university-based community service program employed a one-group pre–post test design. Eleven teachers and staff, along with 91 students from Aisyiyah Banyudono Playgroup, Boyolali, participated. The intervention consisted of interdisciplinary training on disaster mitigation, installation of IoT-based EWS, and structured evacuation simulations. The evaluation stage was conducted by collecting data through pre–post questionnaires and structured observations, which were then analyzed descriptively to determine mean score improvements and percentage changes across three evaluated domains. Results: The GEMA TANGGUH model produced substantial improvements across all domains. Teachers’ knowledge increased from an average score of 47.5 (pre) to 70.0 (post), a relative gain of 47.4%. Teachers reporting “very confident” rose from 10% to 50%. Psychomotor performance reached 100% accuracy, and student compliance achieved 98.89% (90 out of 91 students), indicating effective knowledge transfer. Conclusion: The GEMA TANGGUH model effectively strengthens comprehensive disaster preparedness among ECE teachers. Uniquely integrating IoT-based Early Warning Systems and Psychological First Aid (PFA)-oriented simulations, the model provides an evidence-based and scalable framework for building holistic resilience, supporting the advancement of disaster-resilient educational institutions in disaster-prone areas.