Dina Lusiana Setyowati
Faculty of Public Health, Universitas Mulawarman, Samarinda, East Kalimantan, Indonesia

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A Bibliometric Mapping of mHealth Application in University Mental Health Policy and Practice Ana Pujianti Harahap; Dina Lusiana Setyowati; Risza Choirunissa; Bintang Agustina Pratiwi; Noor Azizah; Adelina Pratiwi
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 8 No. 8 (2025)
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v8i8.7413

Abstract

Introduction: Mental health issues among university students are becoming increasingly prevalent and have a significant impact on academic performance and overall well-being. In response, mobile health (mHealth) applications and digital psychometric tools have emerged as promising solutions for expanding access to mental health support. However, challenges remain in terms of effectiveness, user engagement, long-term scalability, and integration into institutional frameworks and policy systems. Methods: This study conducts a comprehensive bibliometric analysis using three established techniques co-citation analysis, bibliographic coupling, and co-word analysis to examine the evolution of digital mental health research in higher education. These complementary methods collectively provide a triangulated understanding of intellectual foundations, thematic development, and conceptual trends. Data were retrieved from the Scopus database, filtered for relevance, and visualized using VOSviewer software to identify key themes, conceptual structures, and research trends. Results: The analysis identified four major co-citation clusters centered on psychometric tools and digital intervention strategies, three bibliographic coupling clusters highlighting challenges in engagement and implementation, and five Co-word clusters representing emerging research areas such as mindfulness apps, resilience, and digital literacy. Findings reveal growing interdisciplinary collaboration, yet highlight persistent barriers in user adherence, cultural adaptation, and policy development. Conclusion: The study provides a structured overview of current research on digital mental health interventions in higher education, uncovering gaps in policy integration and long-term effectiveness. It offers practical insights for educators, healthcare professionals, and policymakers seeking to develop sustainable, evidence-based mental health strategies. Moving forward, institutions must focus on inclusive design, ethical data use, and institutional readiness to enhance the impact and scalability of digital mental health tools.
Research Trends in Road Safety (2013-2023): A bibliometric Review Using Science Mapping Techniques on Human and Technological Factors Dina Lusiana Setyowati; Abhirama Swastyayana Dian Perdana; Antinah Latif; Widyarto Widyarto
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 8 No. 8 (2025)
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v8i8.7466

Abstract

Introduction: Road safety remains a pressing global public health issue, marked by rising rates of traffic-related accidents, injuries, and fatalities. While various interventions have been implemented, there is still limited understanding of how human factors, trust in automated systems, and hazard perception influence safety outcomes in both autonomous and semi-autonomous driving contexts. This study aims to explore research trends and knowledge gaps in road safety using a bibliometric approach, focusing on the intersection between human behavioral factors and emerging intelligent transport technologies. Methods: This study employs a bibliometric research design to analyze the scholarly literature on road safety and campaign-related studies, covering the period from 2013 to 2023 and using Scopus as the primary database. Results: By applying science mapping techniques specifically bibliographic coupling and co-word analysis, a total of 581 peer-reviewed journal articles were examined. From these, 114 highly cited publications were identified and grouped into five thematic clusters based on bibliographic coupling and four keywords-based domains from co-words analysis. The results underscore the growing role of Advanced Driver Assistance Systems (ADAS), Connected Intelligent Transport Systems (C-ITS), and artificial intelligence (AI)-based risk prediction in reducing traffic incidents. Key areas of concern include behavioral adaptation, trust in automation, and situational awareness. Recommendations include enhancing regulatory frameworks, reinforcing helmet and speed limit compliance, and incorporating AI-powered predictive models and real-time monitoring systems into urban mobility planning. Additionally, the study emphasizes shifting from traditional media to targeted digital road safety campaigns through social media and mobile applications. Conclusion: The findings underscore the importance of integrating AI-powered monitoring systems, enforcing data-informed traffic regulations, and implementing targeted behavioral campaigns to reduce accident risks. These strategies should be designed with adaptive models that account for how road users respond to risk and safety interventions. Future research should build interdisciplinary models that merge cognitive psychology, risk perception metrics, and intelligent transport technologies to guide data-driven safety innovations, providing valuable insights for urban planners, policymakers, and traffic safety educators.