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Eko Risdianto
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INDONESIA
Indonesian Journal of Health Research and Development
Published by CV Media Inti Teknologi
ISSN : -     EISSN : 29879671     DOI : https://doi.org/10.58723/ijhrd.v1i2.99
Core Subject : Health,
Health Professions Medicine & Pharmacology Nursing Public Health
Indonesian Journal of Health Research and Development with E-ISSN: 2987-9671 is a journal managed by CV Media Inti Teknologi. Publish articles on Research activities in the fields of : 1. Nursing 2. Medicine 3. Pharmacy 4. Health Innovation 5. Kebidanan (Bostetrics) 6. Healthy Education 7. Nutrition and Food 8. Health Administration 9. health promotion 10. Physiotherapy 11. Radiology 12. Stunting 13. Health Technology. 14. Sanitation.
Arjuna Subject : Profesi Kesehatan - Profesi Kesehatan (Lain-Lain)
Articles 45 Documents
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Formulation and Physical Stability Evaluation of Sacha Inchi (Plukenetia volubilis L.) Oil-Based Body Lotion as Skin Moisturizer Neni Sri Gunarti; Putri Immelia, Richa; Farhamzah; Eko Sriwahyuningsih
Indonesian Journal of Health Research and Development Vol. 3 No. 3 (2025): Indonesian Journal of Health Research and Development (November)
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijhrd.v3i3.462

Abstract

Background: Sacha Inchi oil (Plukenetia volubilis L.) is rich in essential fatty acids and antioxidants, making it a promising active ingredient in body lotion formulations for skin moisturization and protection.Aims and Scope: This study aimed to evaluate the effect of varying concentrations of Sacha Inchi oil on the physical stability, moisturizing effectiveness, and user acceptability of body lotion formulations.Methods: Three body lotion formulas were prepared with Sacha Inchi oil at concentrations of 5% (F1), 6% (F2), and 7% (F3). Evaluations included organoleptic observations, pH measurement, viscosity, spreadability, moisturizing effectiveness using a skin analyzer, irritation tests, and hedonic tests involving 20 panelists.Result: Formula F3 demonstrated the best moisturizing effectiveness, increasing skin moisture by 20.45%, with a pH of 6.45, viscosity of 6,150 cP, and spreadability of 5.4 cm. Although F3 had the highest moisturizing effect, F2 was the most preferred by panelists, with 83.3% indicating strong preference for texture and 72.2% for spreadability. All formulas showed no signs of irritation.Conclusion: The body lotion containing 7% Sacha Inchi oil (F3) was the most effective in enhancing skin moisture, while the 6% formulation (F2) was the most favorable in terms of sensory attributes.
The Effect of Health Education with Leaflet Media on Improving Knowledge and Attitude of Tb Patients at Rotinsulu Pulmonary Hospital, Bandung Ardayani, Tri; Sitorus, Neti; Muwardi, Rudy Mulyana
Indonesian Journal of Health Research and Development Vol. 3 No. 3 (2025): Indonesian Journal of Health Research and Development (November)
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijhrd.v3i3.325

Abstract

Background: Mycobacterium tuberculosis is the bacterium that causes tuberculosis, an infectious disease that targets the lungs, particularly the lung parenchyma.Aims: This study aims to increase the understanding and mindset of the patient's family about tuberculosis prevention therapy and other aspects of TB prevention and treatment through health education, especially by utilizing media such as leaflets.Methods: Pre-experiment design using the One Group Pre-test-Post-test research method is the type of study being conducted. There were 412 participants in this study. Using a purposive sampling technique, 30 persons made up the study's sample. A questionnaire was the tool utilized. The KEPK STIK Immanuel Bandung has recommended this study (No.132/KEPK/STIKI/XII/2021).Result: According to the study's findings, the majority of respondents had adequate understanding (80.0%) prior to receiving leaflets, and a good level of knowledge (83.3%) following leaflet distribution. The majority of respondents had a good attitude before receiving the leaflets (70.0%), and this attitude remained positive after receiving the leaflets (96.7%). Health Education Through Leaflet Media Has an Impact on TB Knowledge patients both prior to and following the operation. Health education using leaflet media has an impact on TB patients' attitudes both before and after the intervention. Conclusion: The findings indicate that health education via leaflet media has an impact on the attitudes and knowledge of patients with pulmonary tuberculosis. It is suggested that Rotinsulu Regional Hospital establish a regular health education program.
Metabolic Profile and Hepatoprotective Efficacy of Carica Papaya Leaves in CCl4 Induced Oxidative Stress Albino Mice Abdulkadir Usman, Maryam; Pantami, Hamza Ahmed; Sani, Muhammad Bappah; Lawan, Aliyu Ibrahim; Hamza, Hajjagana
Indonesian Journal of Health Research and Development Vol. 3 No. 3 (2025): Indonesian Journal of Health Research and Development (November)
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijhrd.v3i3.369

Abstract

Background: Hepatic disorder is fatal and require vital medication, orthodox cure is deleterious, so there is need for natural curative agents.Aims: Bioactive phytochemical analysis and   efficacy of Carica papaya leaves extracts versus CCL4 induced oxidative stress in mice.Methods: The metabolite profile of Carica papaya leaves extract was analysed by LC-MS/MS analysis via GNPS. Liver aminotransferases were assessed, liver tissues and homogenates were assessed for histopathology and MDA, catalase, superoxide dismutase, and Glutathione S-Transferase activities, qRTPCR mRNA expression of hepatic tissue Glutathione S- Transferase was performed. Free radical scavenging activity of the extract were evaluated using invitro prototypes.Results: Numerous metabolites were identified from crude extract. Observed weight loss in rats, liver damage through elevating serum variables (marker enzymes and bilirubin), decrease in total protein and albumin. A significant decrease in tissue catalase, GST, and superoxide dismutase activities and marked increase in MDA level (p<0.05) were also observed. The extract effectively ameliorated CCl4 effects with marked decrease in serum variables. GST mRNA expression of hepatic tissue and histopathological results also supported the biochemical findings. Extract exhibited radical scavenging activity with DPPH IC50 of 0.56mg/ml, FRAP IC50 of 0.52mg/ml, H2O2 IC50 of 0.58mg/ml and Phosphomolybdenum IC50 of 0.62.Conclusion: Carica papaya leaves was beneficial in modulating the alterations induced in liver and serum variables of mice in CCL4 induced oxidative stress.
Comparative Phytochemicals Screening, Antibacterial and Antioxidant Properties of Some Selected Medicinal Plants in Nigeria Danjuma, Kabir
Indonesian Journal of Health Research and Development Vol. 3 No. 3 (2025): Indonesian Journal of Health Research and Development (November)
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijhrd.v3i3.518

Abstract

Background: Antibiotics resistance poses serious health threats globally, necessitating the search and development of an efficient environmentally friendly antibiotics. Evaluation of medicinal plants possessing antioxidant and antimicrobial chemicals is essential for solving this problem and improves human health.Aims: This research was done to assess the phytochemical status, antioxidant and antibacterial potentials of the leaf extracts of four medicinal plants (Moringa oleifera, Linus usitatissimum, Vernonia amygdalina, and Anacardium occidentale) cultivated in Nigeria. Methods: Standard methods were used to screen the phytochemicals; agar well diffusion and DPPH radical scavenging assays were employed to evaluate the antibacterial and antioxidant properties of the extracts. Results: The results showed that the medicinal plants tested possessed significant phytochemicals including alkaloids, flavonoids, phenolics, terpenoids, tannins, saponins, among others. The plants showed effective antibacterial properties, with Moringa oleifera showing highest antibacterial activities against Staphylococcus aureus and Escherichia coli, followed by Vernonia amygdalina, Linus usitatissimum, and anacardium occidentale. The medicinal plants also showed powerful antioxidant potentials with lower IC50 values. moringa oleifera being the most powerful has an IC50 value of 41.95 µg/ml, followed by Linus usitatissimum (IC50 = 43.09 µg/ml), Vernonia amygdalina (IC50 = 54.64 µg/ml), and anacardium occidentale (IC50 = 66.85 µg/ml), compared with the standard ascorbic acid (IC50 = 14.14 µg/ml)). Conclusion: The medicinal plants tested in this study possess significant bioactive compounds and could serve as an effective potential agent against pathogenic bacteria, suppress oxidative stress thereby improving the human health quality.
Deep Learning-Based ResNet-50 Transfer Learning Approaches for Pneumonia Detection from Chest X-Ray Images: With and Without Fine-Tuning Rochmawati, Dwi Robiul; Maryani, Lidya
Indonesian Journal of Health Research and Development Vol. 3 No. 3 (2025): Indonesian Journal of Health Research and Development (November)
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijhrd.v3i3.507

Abstract

Background: Pneumonia remains one of the leading causes of morbidity and mortality worldwide, particularly among children and older adults in low-resource settings. Diagnosis based on chest X-ray interpretation often depends on radiologist expertise, which may be limited in availability and prone to subjectivity. Deep learning offers a promising alternative to improve diagnostic efficiency and consistency.Aims: This study aims to evaluate the effectiveness of the ResNet-50 architecture for pneumonia detection using chest X-ray images by comparing transfer learning with frozen layers and partial fine-tuning strategies.Methods: A total of 5,856 chest X-ray images were obtained from a public dataset and divided into training, validation, and testing sets using stratified sampling. Data preprocessing included resizing, normalization, and augmentation. Two models were developed: (1) a frozen ResNet-50 model, where all convolutional layers were fixed, and (2) a fine-tuned ResNet-50 model, where the final convolutional layers were retrained. Performance was evaluated using accuracy, precision, recall, F1-score, and area under the ROC curve (AUC). Statistical tests were conducted to assess performance differences between the two models.Results: The frozen model achieved an accuracy of 62.50% and an AUC of 0.4819, indicating weak classification performance. In contrast, the fine-tuned model demonstrated substantially higher accuracy of 85.90%, F1-score of 0.8967, and AUC of 0.9510, showing strong discriminative capability. Statistical analysis confirmed that the performance improvement in accuracy was significant.Conclusion: Fine-tuning significantly enhances the applicability of ResNet-50 for pneumonia detection. Without feature adaptation, pretrained models struggle to generalize to medical imaging domains. Fine-tuned transfer learning provides a more reliable framework for developing computer-aided diagnostic systems, particularly in clinical environments with limited expert availability.

Page 5 of 5 | Total Record : 45

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