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Viva Medika: Jurnal Kesehatan, Kebidanan dan Keperawatan
Published by Universitas Harapan Bangsa Purwokerto
ISSN : 19791034     EISSN : 26561034     DOI : -
Core Subject : Health,
Health Professions Medicine & Pharmacology Nursing Public Health
Viva Medika Is a journal that publishes articles or research results relating to health, nursing and midwifery issues. Viva Medika is published by Harapan Bangsa University twice a year (September and February). The mission of the Journal of Viva Medika is to disseminate and discuss scientific writings on midwifery, nursing, and various issues within the scope of health problems. This journal is intended as a medium of communication for lecturers and people who have attention to health, obstetrics, nursing.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol 19 No 1 (2026)" : 5 Documents clear
Digital Burnout as a Psychological Risk Factor for Loneliness in Generation Z: The Mediating Function of Self-Esteem Kusumawati, Mira Wahyu; Carsita , Wenny Nugrahati; Basir , Muhammad Ichsan; Faradisa, Elok; Budiman, Amin Aji
Viva Medika Vol 19 No 1 (2026)
Publisher : LPPM Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/vm.v18i3.2203

Abstract

Background: Adolescents aged 15–17 years, often classified as Generation Z, are considered vulnerable to mental health problems because they are in a developmental transition from childhood to adulthood. Gen Z typically has high social media use, which may reduce opportunities for direct face-to-face interaction. Objective: This study aimed to examine the association between digital burnout and loneliness, with self-esteem as a potential mediator. Methods: This study employed a path analysis design. The study was conducted at SMAN 1 Sliyeg, Indramayu Regency, Indonesia. Participants were selected using purposive sampling with the following inclusion criteria: students aged 15–18 years, not currently using psychotropic medication, willing to participate, and able to read and write. Data were collected using a demographic questionnaire, the UCLA Loneliness Scale, and the Rosenberg Self-Esteem Scale (RSES). Results: Path analysis indicated that digital burnout significantly contributed to higher loneliness, while self-esteem showed a significant protective association with lower loneliness among Gen Z adolescents (p < 0.05). Conclusion: Digital burnout may influence loneliness directly; however, the mediating role of self-esteem requires further confirmation based on the full mediation pathway.
The Use of a Multi-Drug Therapy (MDT) Monitoring Calendar as a Medium to Support Medication Adherence in Leprosy Patients Marianti Agustina Gudipun; Yoany Maria Vianney Bita Aty; Maria Selestina Sekunda; Aries Wawomeo; Florentianus Tat; Aben B.Y. Romana
Viva Medika Vol 19 No 1 (2026)
Publisher : LPPM Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/vm.v19i1.2117

Abstract

Background: Treatment of leprosy with Multi-Drug Therapy (MDT) requires a relatively long duration, depending on the type of leprosy. The extended treatment period often leads to patient fatigue, which may reduce medication adherence and increase the risk of treatment discontinuation. This situation can hinder therapeutic success and elevate the risk of disease transmission and disability. Therefore, simple and practical strategies are needed to support patients in maintaining adherence throughout the treatment period. One potential strategy is the use of an MDT monitoring calendar as a reminder and monitoring tool. This study aimed to determine the effect of the MDT monitoring calendar on medication adherence among leprosy patients in Ende Regency. Methods: This quantitative study employed a pre-experimental one-group pre-test–post-test design. Total sampling was used, involving 16 respondents. Data were analyzed using the Wilcoxon Signed-Rank Test. Results: All respondents demonstrated an increase in medication adherence after the implementation of the Multi-Drug Therapy (MDT) monitoring calendar, with no observed decrease in adherence. The Wilcoxon Signed-Rank Test indicated statistically significant results (Z = −3.532; p < 0.05), confirming the effect of the MDT monitoring calendar on medication adherence among leprosy patients in Ende Regency. Conclusion: The implementation of the Multi-Drug Therapy (MDT) monitoring calendar significantly improved medication adherence among leprosy patients. The MDT monitoring calendar can serve as an effective and easily implementable health promotion tool to support treatment success. Health service facilities are encouraged to integrate the MDT monitoring calendar into the leprosy control program in Ende Regency
Parental Knowledge and Motivation in HPV Vaccination Decision-Making for Cervical Cancer Prevention Among Children Elin Ermi Eliani; Riska Hediya Putri; Surmiasih; Rini Palupi
Viva Medika Vol 19 No 1 (2026)
Publisher : LPPM Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/vm.v19i1.2121

Abstract

Cervical cancer remains one of the leading causes of mortality among women in Indonesia, with persistent challenges in preventive efforts. Vaccination against the Human papillomavirus (HPV) is recognized as an effective primary prevention strategy to reduce the incidence of cervical cancer. However, HPV vaccination coverage among school-aged children in Indonesia remains suboptimal, partly due to limited parental awareness and varying levels of motivation. This study aimed to examine the relationship between parental knowledge of cervical cancer prevention and parental motivation toward HPV vaccination in children. A quantitative analytical study with a cross-sectional design was conducted among parents of female students in grades five and six at SD Negeri 5 Kresnomulyo, Pringsewu. A total of 67 respondents were recruited using a total sampling technique. Data were collected through validated questionnaires assessing knowledge and motivation levels and were analyzed using the Chi-square test. The findings demonstrated a statistically significant association between parental knowledge and motivation toward HPV vaccination (p < 0.001). These results suggest that improving parental knowledge through structured and targeted health education programs may strengthen motivation and increase acceptance of HPV vaccination as an essential preventive measure against cervical cancer
Effectiveness of Incenerator-Based Practice in Improving Student’s Environmental Health Care Behavior Hisyam, Anwaruddin; Nurul Aini Binti Ismail; Rokhayati; Safirina Aulia Rahmi; Arif Rahman
Viva Medika Vol 19 No 1 (2026)
Publisher : LPPM Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/vm.v19i1.2224

Abstract

The waste emergency in Yogyakarta, following the collapse of the centralized waste management system and the closure of the Final Disposal Site (FDS), has necessitated the implementation of decentralized and self-managed waste solutions within institutional settings. In this study, the effectiveness of integrating incinerator technology as a practice-based intervention to enhance Environmental Health Care Behavior (EHCB) among university students was investigated. A quantitative pre-experimental study employing a one-group pretest–posttest design was conducted using total sampling (n = 46). The intervention consisted of structured demonstrations and supervised hands-on operation of a campus mini-incinerator embedded within environmental health learning activities. EHCB scores were analyzed using a paired-sample t-test. A statistically significant increase was identified between the pre-intervention mean score (Mean = 45.60) and the post-intervention mean score (Mean = 52.80), with p < 0.001. An improvement of 15.79%, accompanied by a large effect size, was observed. These findings indicate that experiential engagement with environmental technology enhances self-efficacy and facilitates the transformation of knowledge into responsible waste management behavior. The results underscore the importance of technology-enhanced experiential learning as an institutional strategy for strengthening sustainable environmental health practices within decentralized waste management systems
Energy Sustainability in Artificial Intelligence for Nursing Practice: Addressing the Hidden Cost Yen-Ching Chang; Agung Budi Prasetio
Viva Medika Vol 19 No 1 (2026)
Publisher : LPPM Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/vm.v19i1.2249

Abstract

The adoption of artificial intelligence in nursing practice has accelerated rapidly and offers substantial benefits in terms of efficiency, predictive accuracy, and clinical workflow optimization. Applications such as automated documentation, natural language processing of clinical notes, and decision support systems are increasingly embedded in routine nursing activities. While these technologies enhance performance and productivity, growing evidence indicates that artificial intelligence systems are associated with significant energy consumption during model training, data storage, and operational deployment. The healthcare sector already contributes a measurable proportion of global greenhouse gas emissions, and energy intensive digital infrastructures further amplify this burden. Training advanced artificial intelligence models may generate substantial carbon emissions, and repeated inference processes in daily clinical use accumulate additional energy demand.Despite these concerns, current evaluation frameworks for artificial intelligence in nursing remain primarily centered on clinical effectiveness, usability, safety, and organizational readiness. Energy consumption, carbon footprint, and broader ecological implications are rarely incorporated into technology assessment processes. This omission creates a critical gap between digital innovation and environmental responsibility within nursing informatics. This short communication synthesizes available evidence on the hidden energy costs of artificial intelligence in healthcare and nursing contexts, identifies structural gaps in prevailing evaluation paradigms, and proposes the integration of standardized sustainability metrics. The proposed framework emphasizes explicit reporting of energy consumption, carbon emissions, and life cycle environmental impacts alongside traditional clinical and operational indicators. By reframing artificial intelligence evaluation through a sustainability lens, nursing can contribute to advancing digital transformation that is not only safe and effective but also environmentally responsible

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