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Contact Name
G Thippanna
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indexsasi@apji.org
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+6282359594933
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info@ifrel.org
Editorial Address
Jalan Watunganten 1 No 1-6, Batursari, Mranggen, Kab. Demak, Provinsi Jawa Tengah, 59567
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INDONESIA
Green Health: Journal of Health Sciences, Nursing and Nutrition
ISSN : -     EISSN : 30637309     DOI : 10.70062
Core Subject : Health,
Green Health: International Journal of Health Sciences, Nursing and Nutrition; This journal is intended for the publication of scientific articles published by the International Forum of Researchers and Lecturers. This journal contains studies in the fields of Health Sciences, Nursing and Nutrition, both theoretically and empirically. The focus of this journal is on the study of Science, Nursing Science, Midwifery, Hospital Administration, Entomology (Health, Phytopathology), Biomedical Science, Medical Analysis, Reproduction (Biology and Health), Nutrition Science, and Other Health & Nutrition Not Yet Listed. This journal is published 1 year 4 times (January, April, July and October).
Articles 57 Documents
Integrated Maternal Health Model for Early Preeclampsia Prevention: A Community Health Center-Based Study in Medan, Indonesia Aida Fitria; Devi Nallappan; Fina Kusuma Wardani; Dian Zuiatna; M.Crystandy
Green Health International Journal of Health Sciences Nursing and Nutrition Vol. 3 No. 2 (2026): April: Green Health: Journal of Health Sciences, Nursing and Nutrition
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenhealth.v3i2.311

Abstract

Preeclampsia remains a major contributor to maternal morbidity and mortality, particularly in developing countries such as Indonesia. Early detection and integrated management at the primary healthcare level are essential to prevent disease progression and improve maternal outcomes. Modifiable risk factors such as maternal obesity, inadequate calcium intake, and poor clinical management contribute significantly to disease progression (WHO, 2021; Zhang et al., 2020). This study aimed to evaluate the effectiveness of an Integrated Maternal Health Model (IMHM) combining risk assessment, nutritional intervention, and clinical management for early prevention and control of preeclampsia in primary healthcare settings. A quasi-experimental cohort study was conducted among 104 pregnant women, consisting of 52 preeclamptic and 52 normotensive participants in community health centers in Medan, Indonesia. Data were collected across four antenatal visits, including blood pressure measurements, proteinuria (dipstick), calcium intake, supplementation adherence, and antihypertensive therapy. Statistical analyses included bivariate and longitudinal tests. The results showed that maternal obesity, history of preeclampsia, and hypertension were significant risk factors. Adequate calcium intake demonstrated a protective effect against preeclampsia (p < 0.05), consistent with recent evidence indicating that calcium supplementation can reduce the risk of preeclampsia by up to 49%. However, calcium supplementation did not significantly influence blood pressure among normotensive pregnant women. Antihypertensive therapy, particularly intensive nifedipine regimens, showed significant differences in blood pressure patterns across visits (p < 0.05). In addition, proteinuria levels significantly decreased over time (p < 0.001), indicating improvement in renal function. In conclusion, the IMHM is effective in improving maternal outcomes through a multi-component approach integrating clinical, nutritional, and monitoring strategies. This model provides a practical and scalable framework for early prevention and management of preeclampsia in primary healthcare settings.
Implementation of Graphical User Interface (GUI) for Thyroid Gland Ultrasonography Image Segmentation and Visualization Application Based on Deep Learning Ana Septiana; Edy Susanto; Agung Nugroho Setiawan; Dicky Choirriyan
Green Health International Journal of Health Sciences Nursing and Nutrition Vol. 3 No. 2 (2026): April: Green Health: Journal of Health Sciences, Nursing and Nutrition
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenhealth.v3i2.312

Abstract

Background: Automatic segmentation of the thyroid gland in ultrasonography (USG) images using deep learning requires a user-friendly interface to support diagnostic and educational processes. Purpose: This study aims to develop and implement a Graphical User Interface (GUI) that integrates a deep learning U-Net model for interactive and efficient segmentation and visualization of thyroid USG images. Method: The development method employed the Rapid Application Development (RAD) approach using MATLAB programming language. The GUI is designed to load transverse and sagittal USG images, display automatic segmentation results, and calculate thyroid gland volume based on dimensions measured automatically from the segmentation output. Testing was conducted using USG image data from 15 volunteers, and GUI functionality was evaluated using black box testing. Result: The GUI successfully displayed USG images and segmentation results with a responsive 4-panel interface; zoom, pan, and image navigation features functioned well. Automatic segmentation occurred in real-time after image input, and volume measurement results appeared automatically. Black box testing evaluation showed all GUI features operated as expected. The average Dice Similarity Coefficient (DSC) of 0.91 indicates high performance of the U-Net model in thyroid segmentation, consistent with previous findings. Statistical testing confirmed no significant difference between volume measurements using the application and manual methods (p = 0.953). Conclusion: This GUI implementation facilitates users in performing deep learning-based segmentation and visualization of thyroid USG images, improving efficiency and accuracy in thyroid volume measurement. The GUI has potential applications in clinical practice and radiology education.
The Impact of Therapeutic Communication on the Quality of Nursing Care among BPJS Insured Patients in Indonesia: A Quantitative Study Susana Nurtanti; Sri Handayani
Green Health International Journal of Health Sciences Nursing and Nutrition Vol. 3 No. 3 (2026): July: Green Health: Journal of Health Sciences, Nursing and Nutrition
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenhealth.v3i3.314

Abstract

Therapeutic communication plays a crucial role in enhancing the quality of nursing care and patient satisfaction, particularly within Indonesia's culturally and linguistically diverse healthcare system. Despite its importance, limited empirical research has been conducted on the impact of therapeutic communication on perceived care quality and patient satisfaction within the BPJS system. This Study to analyze the effect of therapeutic communication on patients' perceptions of nursing care quality and their level of satisfaction among BPJS-insured patients in Indonesia. The methods are a quantitative, cross-sectional descriptive-correlational study was carried out at Wonogiri General Hospital. The sample consisted of 100 nurses and 100 BPJS patients selected through purposive sampling. Data was collected using validated questionnaires: Global Interpersonal Therapeutic Communication Scale (GITCS©), Quality of Nursing Care Scale (QNCS), Quantitative Nursing Practice Tool for Communication (QNPCT), and Patient Satisfaction with Nursing Care and Quality Questionnaire (PSNCQQ). Data analysis involved descriptive statistics, Pearson correlation, regression analysis. The Results of this study are a significant strong positive correlation (r=0.68, p<0.01) was found between therapeutic communication and patient satisfaction. Regression analysis indicated that patient age and educational level significantly predicted perceptions of communication effectiveness (p<0.05), with older patients perceiving communication more favorably and those with higher education levels reporting lower perceptions of its effectiveness. Therapeutic communication significantly influences patients’ perceptions of care quality and satisfaction among BPJS-insured patients. Developing adaptive communication skills tailored to patient demographics is recommended to improve health outcomes and patient experience.
Health Promotion As A Determinant of Disaster Prepared-ness Among Rural Nurses In Disaster-Prone Areas of Indo-nesia: Examining The Mediating Roles of Self-Efficacy and Health Behavior Zulfikar Muhammad; Emerson G Aliswag
Green Health International Journal of Health Sciences Nursing and Nutrition Vol. 3 No. 3 (2026): July: Green Health: Journal of Health Sciences, Nursing and Nutrition
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenhealth.v3i3.315

Abstract

This study examined the relationships among health promotion, self-efficacy, health behavior, and disaster preparedness among rural nurses in Malang Regency, East Java, Indonesia. A cross-sectional quantitative design was conducted involving 75 rural nurses. Data were analyzed using descriptive statistics, Pearson correlation, multiple regression, and mediation analyses. The findings revealed high levels of disaster preparedness (M = 4.10), self-efficacy (M = 4.07), health behavior (M = 4.03), and health promotion (M = 3.91). Significant positive correlations were identified among all variables (p < .001), with health promotion demonstrating strong associations with self-efficacy, health behavior, and disaster preparedness. Multiple regression analysis showed that health promotion was the only significant predictor of disaster preparedness (β = .716, p < .001), explaining 72.3% of the variance (R² = .723). In contrast, self-efficacy and health behavior did not significantly predict disaster preparedness. Mediation analysis further indicated that neither self-efficacy nor health behavior significantly mediated the relationship between health promotion and disaster preparedness. These findings highlight the central role of health promotion as the primary determinant of disaster preparedness among rural nurses. Strengthening health promotion competencies through education, training, and simulation-based programs may enhance preparedness and resilience in disaster-prone rural healthcare settings. The study provides evidence to inform disaster nursing practice, education, and policy development in vulnerable communities.
Effects of Micro Role-Play on Child Sexual Abuse Prevention Knowledge among Primary School Children in Medan, Indo-nesia Srimis Leini Saragih; Zuidah Zuidah; Rahma Dani
Green Health International Journal of Health Sciences Nursing and Nutrition Vol. 3 No. 3 (2026): July: Green Health: Journal of Health Sciences, Nursing and Nutrition
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenhealth.v3i3.316

Abstract

Child sexual abuse remains a major threat to children’s safety, while many primary-school children have limited knowledge of private body parts, unsafe touch, refusal skills, and help-seeking. This study examined whether a micro role-play intervention improved knowledge of child sexual abuse prevention among third-grade students. A one-group pretest-posttest pre-experimental design was conducted in 2025 at SD Negeri No. 060827 Medan, Indonesia. Thirty students aged 8–9 years were selected through purposive sampling. The intervention used small paper puppets and scripted scenarios to model body-safety rules, responses to grooming attempts, refusal, escape, and disclosure to trusted adults. Knowledge was measured before and immediately after the session using a 15-item questionnaire. Because score distributions were non-normal, paired scores were analyzed using the Wilcoxon signed-rank test. Before the intervention, 17 students (56.7%) had low knowledge, nine (30.0%) had moderate knowledge, and four (13.3%) had good knowledge. After the intervention, 26 students (86.7%) had good knowledge and four (13.3%) had moderate knowledge. The median score increased from 53.3 (interquartile range 53.3–73.3) to 93.3 (86.6–93.3). All participants improved, and the change was statistically significant (W = 0, p < 0.001; r = 0.88). Micro role-play produced a substantial immediate improvement in prevention knowledge and may be a feasible, developmentally appropriate approach for school-based safety education. Controlled studies with longer follow-up are required.
Molecular Docking Study of Active Compounds of Ketapang Leaves (Terminalia Catappa L.) Against Inhibitors Maltase Glucoamylase And Modification of New Compounds Tiara Ajeng Listyani; Nissa Syahraningtyas Putri; Bagas Ardiyantoro
Green Health International Journal of Health Sciences Nursing and Nutrition Vol. 3 No. 3 (2026): July: Green Health: Journal of Health Sciences, Nursing and Nutrition
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenhealth.v3i3.317

Abstract

The prevalence of diabetes mellitus is projected to reach 853 million by 2050. Postprandial hyperglycemia induced by the maltase glucoamylase enzyme can exacerbate the condition of diabetic patients. Although acarbose is widely used, it causes gastrointestinal side effects; thus, natural alternatives like ketapang leaves (Terminalia catappa L.) serve as a potential source of antidiabetic active compounds. This study aimed to evaluate the binding affinity, root mean square deviation (RMSD) values, and amino acid interactions of 70 active compounds from ketapang leaves against the maltase-glucoamylase enzyme using a molecular docking approach, alongside designing a novel potential compound modification as an antidiabetic drug candidate. In silico docking simulations were performed using PyRx-AutoDock Vina, structural optimization via VegaZZ, method validation using PyMOL, visualization through Discovery Studio Visualizer, and 2D/3D structural preparation using ChemDraw. The docking results of the 70 test compounds revealed that 41 compounds exhibited ΔGBinding values ranging from -6.3 to -8.5 kcal/mol, 66 compounds showed RMSD values ≤ 2Å, and 5 compounds shared similar amino acid residue interactions with the positive control, acarbose. Structural modification of gallic acid 3-O-(6-galloylglucoside) yielded a novel compound, 4-hydroxy-3-(2-hydroxyethoxy)-5-methoxybenzoic acid, which demonstrated a ΔGBinding value of -5.5 kcal/mol, an RMSD of 1.673 Å, and a matching amino acid residue interaction with the positive control at ASP A:649. In conclusion, active compounds from ketapang leaves and the newly modified compound show promising potential as maltase-glucoamylase enzyme inhibitors via molecular docking.
The Influence of Digital Health Literacy and Family Support on Medication Adherence through Health Belief Amrullah Adji; Rina Mutiara; Erry Yudhya Mulyani
Green Health International Journal of Health Sciences Nursing and Nutrition Vol. 3 No. 3 (2026): July: Green Health: Journal of Health Sciences, Nursing and Nutrition
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenhealth.v3i3.318

Abstract

Disciplined medication adherence is a determining factor for therapeutic success and the prevention of fatal complications in hemodialysis patients. However, lifelong medication routines often trigger treatment fatigue, thereby reducing adherence levels. This study aims to analyze the effect of digital health literacy and family support on medication adherence, as well as to examine the role of the Health Belief Model (HBM) as a moderating variable. This quantitative study, employing a cross-sectional design, involved 72 hemodialysis patients at Hospital X, selected through a total sampling approach. All variables were measured using a 1–4 scale questionnaire instrument and analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS), assisted by SmartPLS software. The final model demonstrated a good data fit (SRMR = 0.094) and simultaneously explained 72.7% of the variance in medication adherence (R² = 0.727). The results showed that digital health literacy, family support, and HBM partially had a positive and significant effect on medication adherence. Among all predictors, family support was the strongest determinant, operating dominantly and independently of the patients' beliefs. Meanwhile, HBM significantly moderated and strengthened the effect of digital health literacy on medication adherence. In conclusion, digital literacy acts as a catalyst that is only effective in improving adherence when built upon a strong foundation of the patients' health beliefs (HBM).