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Dwiza Riana
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Journal Medical Informatics Technology
Published by Asia Pacific Network for Sustainable Agriculture, Food and Energy
ISSN : 29887003     EISSN : 29887003     DOI : https://doi.org/10.37034/medinftech
Core Subject : Health, Science, Engineering,
Computer Science & IT Dentistry Engineering Medicine & Pharmacology Public Health
Journal Medical Informatics Technology publishes papers on innovative applications, development of new technologies and efficient solutions in Health Professions, Medicine, Neuroscience, Nursing, Dentistry, Immunology, Pharmacology, Toxicology, Psychology, Pharmaceutics, Medical Records, Disease Informatics, Medical Imaging and scientific research to improve knowledge and practice in the field of Medical.
Arjuna Subject : Teknik (semua kategori) - Teknik Biomedis
Articles 9 Documents
 1 
Search results for , issue "volume 4 no. 3, september 2026" : 9 Documents clear
Endothelial Glycocalyx Degradation as a Central Mechanism in Premature Atherosclerotic Cardiovascular Disease Farozan Erdian Talab Radjamin; Qian Qi
Journal Medical Informatics Technology Volume 4 No. 3, September 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v4i3.143

Abstract

Premature atherosclerotic cardiovascular disease (ASCVD) poses a substantial clinical burden. Endothelial glycocalyx injury has been proposed as a contributor to vascular dysfunction and atherosclerotic processes, but its role in premature ASCVD remains uncertain. This narrative review examines evidence on glycocalyx structure and degradation, associated vascular mechanisms, candidate biomarkers, and potential therapeutic approaches. Literature published from 2010 to March 2026 was identified through PubMed, Scopus, Web of Science, and Google Scholar using terms related to the endothelial glycocalyx, atherosclerosis, endothelial dysfunction, and cardiovascular disease. Earlier foundational studies were also considered. Experimental and clinical literature links glycocalyx injury with altered vascular permeability, mechanotransduction, nitric oxide signaling, and inflammatory cell interactions. Oxidative stress, hyperglycemia, inflammation, and disturbed flow have been investigated as potential contributors to glycocalyx damage. Circulating glycocalyx components, including syndecan-1, are being studied as markers of endothelial injury, but their value for predicting premature ASCVD has not been established. Although glycocalyx preservation and restoration are potential therapeutic research directions, evidence that these approaches prevent premature cardiovascular events is lacking. Overall, glycocalyx injury is a biologically plausible contributor to atherosclerotic processes; prospective human studies are needed to establish its causal and predictive roles in premature ASCVD.
Digital Health Services in Sub-Saharan Africa: A Narrative Review of Benefits, Adoption Factors, and Implementation Challenges Muhammad Abdul Hadi; Qoonita Dzakiyya Falahuddin
Journal Medical Informatics Technology Volume 4 No. 3, September 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v4i3.167

Abstract

Digital health is often presented as a way for African health systems to overcome shortages of facilities, specialists, and dependable supply chains, yet the supporting evidence is scattered across separate literatures. This article reviews published work on digital health services in sub-Saharan Africa, with particular attention to telemedicine and mobile health (mHealth). The review uses a narrative design with a documented search specification covering material published between 2012 and 2026. Thirty sources were retained and coded using a hybrid framework, in which three themes were set deductively from the review questions while subthemes were developed inductively from the reading. The methodological character of each source was recorded rather than scored, since the corpus mixes trials, qualitative studies, and reviews. Three findings emerge. First, the evidence for benefit is strongest at the level of reach and utilisation, as in South Africa's MomConnect, and considerably thinner at the level of clinical outcomes, so the two should not be conflated. Second, adoption studies in Nigeria and Ethiopia converge in showing that performance expectancy, effort expectancy, and facilitating conditions predict intention while social influence does not, which suggests that provider incentives and institutional readiness matter more than peer persuasion. Third, barriers separate into foundational constraints, namely infrastructure and financing, and context-specific ones that vary by country. The review contributes an integrative framework linking enabling conditions, adoption, and outcomes, and sets out priority questions for further research.
Implementation of the Random Forest Algorithm for Website-Based Diabetes Mellitus Risk Prediction Muhammad Rizky Ardiansyah; Supriyadi Supriyadi
Journal Medical Informatics Technology Volume 4 No. 3, September 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v4i3.168

Abstract

Diabetes mellitus is a chronic health condition that continues to increase worldwide and may lead to various severe complications when early risk identification is not performed. This study addresses the limited implementation of machine learning models in practical web-based applications that can assist users in analyzing diabetes risk based on health-related parameters. Therefore, this research aims to develop DiAnalyze, a web-based diabetes risk prediction platform utilizing the Random Forest algorithm. The study used the Diabetes Prediction Dataset obtained from Kaggle, initially containing 100,000 records with eight input features and one target variable. After data preprocessing and class balancing using undersampling, 18,482 records were retained and divided into training, validation, and testing sets using a 64:16:20 ratio. The Random Forest model achieved an accuracy of 90.70%, precision of 89.09%, recall of 90.97%, F1-score of 90.02%, and ROC-AUC of 97.61%. The trained model was successfully integrated into the DiAnalyze web-based platform, enabling users to obtain diabetes risk classifications and corresponding risk probabilities based on the provided health parameters. DiAnalyze is intended as a supporting tool for diabetes risk assessment and does not replace professional medical diagnosis.
Explainable Machine Learning for Current Stunting Status Classification in Toddlers: A Comparative Evaluation of SMOTEENN and SHAP-Based Interpretation Siti Nurhasanah Nugraha; Muji Ernawati; Evita Fitri; Tri Wahyu Lestari
Journal Medical Informatics Technology Volume 4 No. 3, September 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v4i3.170

Abstract

Stunting remains a major nutritional problem that requires accurate and reliable assessment of children’s current growth status. Machine learning can support stunting classification; however, class imbalance and limited model interpretability remain important challenges. This study aims to evaluate the effect of SMOTEENN across classification algorithms with different learning characteristics and interpret the best-performing model using SHAP. Two secondary datasets were integrated, resulting in 41,176 records, of which 41,173 were retained after data cleaning and numerical conversion. Logistic Regression, Decision Tree, Random Forest, and XGBoost were evaluated using original and SMOTEENN-balanced training data. Hyperparameter optimization was performed using RandomizedSearchCV with stratified five-fold cross-validation and ROC-AUC as the optimization metric. The optimized configurations were fixed and applied to both experimental scenarios. Model performance was evaluated using Accuracy, Precision, Recall, F1-Score, and ROC-AUC on an independent test set. Random Forest trained on the original data achieved the best overall performance, with an Accuracy of 0.9600, Precision of 0.9584, F1-Score of 0.9505, and ROC-AUC of 0.9927. SMOTEENN consistently improved Recall across all models but generally reduced the overall performance of tree-based models. The largest improvement occurred in Logistic Regression, with Recall increasing from 0.7058 to 0.8657. SHAP analysis identified Height and Age (Month) as the most influential features. These findings show that the effect of SMOTEENN depends on dataset and algorithm characteristics, while SHAP provides transparent interpretation of current stunting-status classification within the analyzed datasets.
Formulation and Evaluation Of Nanogel Facial Cleanser Containing Raspberry Fruit (Rubus rosifolius Sm.) Extract As Antibacterial Agent Giyan Ridra Pradana; Eka Putri Wiyati; Devi Novia
Journal Medical Informatics Technology Volume 4 No. 3, September 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v4i3.171

Abstract

Raspberry fruit (Rubus rosifolius Sm.) contains bioactive compounds with potential antibacterial activity. This study aimed to formulate and evaluate a nanogel facial cleanser containing raspberry fruit extract and assess its in vitro antibacterial activity against Staphylococcus aureus. An experimental laboratory design was used. Raspberry fruit was extracted by maceration with 96% ethanol. Four formulations were prepared: F0 without extract and F1, F2, and F3 containing 0.5%, 1%, and 2% extract, respectively. Organoleptic properties, homogeneity, pH, viscosity, spreadability, adhesiveness, foam height, and particle size were evaluated in four replicates. Antibacterial activity was assessed in triplicate using disk diffusion, with DMSO as the negative control (K−) and a commercial facial cleanser as the positive control (K+). Mean particle sizes were 881.13 ± 16.10, 807.10 ± 5.55, 896.83 ± 7.04, and 1086.00 ± 18.19 nm for F0–F3, respectively. Mean inhibition zones were 4.83 ± 0.15, 6.38 ± 0.15, 7.32 ± 0.10, and 8.05 ± 0.13 mm, respectively. One-way ANOVA revealed significant differences among groups (p < 0.001). Tukey’s post hoc test indicated significant differences in the order K− < F0 < K+ < F1 < F2 < F3. F3 exhibited the highest antibacterial activity, classified as moderate under the study’s criteria, although its mean particle size exceeded 1000 nm. Raspberry fruit extract formulations demonstrated measurable in vitro antibacterial activity against S. aureus, supporting further investigation of their formulation characteristics and potential application as facial cleansers.
Formulation and Physical Stability Of Raspberry Fruit Extract Shampoo Saprianto Saprianto; Eka Putri Wiyati; Nurwani Purnama Aji; Tri Yanuarto
Journal Medical Informatics Technology Volume 4 No. 3, September 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v4i3.172

Abstract

Raspberry fruit (Rubus rosifolius Sm.) contains bioactive compounds with potential for use in hair care products, but the physical properties and stability of a shampoo containing its extract require evaluation. This study aimed to formulate raspberry fruit extract shampoo and assess the effects of extract concentration on its physical characteristics and stability. The fruit was extracted by maceration with 96% ethanol and incorporated into four shampoo formulations containing 0% (F0), 5% (F1), 10% (F2), and 15% (F3) extract. Organoleptic properties, homogeneity, pH, foam height, viscosity, spreadability, and adhesion were evaluated. Physical stability was assessed over six cycles of alternating storage at 4 ± 2°C and 40 ± 2°C.  Selected parameters were compared before and after the cycling test using paired t-tests. From 500 g of dried material, 114 g of concentrated extract was obtained, corresponding to an extraction yield of 22.8%. All formulations remained visually homogeneous, with pH values ranging from 6.09 to 6.39. Increasing extract concentration was associated with higher viscosity and adhesion and lower spreadability and foam height. Foam height in F2 fell below the study’s stated range in weeks 3 and 4, while F3 remained below it throughout observation. No statistically significant differences were reported between measurements before and after the cycling test for pH, foam height, viscosity, spreadability, or adhesion (p > 0.05). Raspberry fruit extract could be incorporated into shampoo, but further formulation work is needed to improve foam height at higher extract concentrations.
Beyond Drug Efficacy: Diagnostic Informatics as a Hidden Driver of Therapeutic Value in Multidrug-Resistant Tuberculosis Muhammad Rifqo Hafidzudin Farid; Abdul Fattah Farid
Journal Medical Informatics Technology Volume 4 No. 3, September 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v4i3.174

Abstract

This conceptual review examines whether published cost-effectiveness models of bedaquiline and delamanid account for diagnostic and pretreatment delays in multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB). Evidence was retrieved through targeted searches of an AI-assisted medical evidence platform indexing Springer Nature, Wiley, NEJM Group, and JAMA Network. Searches covered five domains: diagnostic delays in Bandung’s MDR/RR-TB care cascade; clinical and epidemiological consequences; the structure of six bedaquiline/delamanid cost-effectiveness models; evidence for diagnostic and informatics interventions; and precedents for incorporating delays into economic models. Thirty-two unique studies were included. A four-year Bandung cascade analysis found that fewer than one in ten estimated MDR/RR-TB cases were diagnosed; this finding is specific to that study and is not a national estimate. Evidence from comparable high-burden settings links delays to greater disease severity, poorer treatment outcomes, and prolonged infectiousness. None of the six identified drug cost-effectiveness models formally parameterized diagnostic delay or diagnostic informatics performance. Their simulated horizons began at treatment initiation, while sensitivity analyses emphasized drug prices, outcome probabilities, and adverse-event costs. However, discrete-event simulation and related approaches have incorporated treatment waiting times into economic models in oncology and bloodstream infections. This review does not develop or validate a new economic model. It proposes a conceptual framework positioning diagnostic informatics as a determinant of therapeutic value in MDR/RR-TB. The framework aims to guide empirical research incorporating locally observed delay distributions into cost-effectiveness models for Indonesia and other high-burden settings.
The Relationship Between Parenting Styles and BMI-for-Age Status Among School-Aged Children in Kudus Wafiq Azizah; Indanah Indanah; Sri Karyati
Journal Medical Informatics Technology Volume 4 No. 3, September 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v4i3.175

Abstract

Childhood obesity is a multifactorial health problem influenced by family characteristics and parenting practices. However, evidence regarding the association between parenting style and children's nutritional status remains inconsistent. This study examined the association between parenting style and BMI-for-age status among elementary school children in Kandangmas Village, Dawe District, Kudus Regency. A cross-sectional study involved 60 eligible children. Body weight and height were measured to determine BMI-for-age status, categorized as normal, overweight, or obese. Parents or guardians completed a questionnaire assessing authoritarian, democratic, and permissive parenting styles. Data were analyzed descriptively and using Pearson’s Chi-Square test, with Cramer’s V measuring association strength. Among respondents, 21 (35.0%) had normal BMI-for-age status, 14 (23.3%) were overweight, and 25 (41.7%) were obese. Democratic parenting was most common (41.7%), followed by permissive (33.3%) and authoritarian parenting (25.0%). No statistically significant association was observed between parenting style and BMI-for-age status in the present sample of school-aged children studied (χ²(4) = 4.937; p = 0.294; Cramer’s V = 0.203). These findings should be interpreted cautiously given the small sample, cross-sectional design, and unmeasured factors, including dietary intake, physical activity, and sedentary behavior. Furthermore, two expected cell counts were below five, warranting caution when interpreting the Pearson test. Larger studies incorporating relevant behavioral and family factors are needed to clarify this relationship and inform childhood obesity prevention strategies.
The Relationship Between Self-Control and Religiosity with Adolescent Sexual Behavior at SMAN 2 Kudus Mona Elsa Farida; Anny Rosiana Masithoh; Muhamad Jauhar
Journal Medical Informatics Technology Volume 4 No. 3, September 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v4i3.178

Abstract

Adolescence involves biological, cognitive, and psychosocial changes that may influence sexual behavior. This study examined the separate associations of self-control and religiosity with sexual behavior among students at SMAN 2 Kudus. A quantitative descriptive-correlational study with a cross-sectional design involved a population of 1,178 students in grades X–XII. Proportional random sampling selected 299 students: 100 from grade X, 100 from grade XI, and 99 from grade XII. Data were collected using four-point Likert questionnaires comprising 10 self-control items, 10 religiosity items, and 15 sexual-behavior items. Questionnaire scores were categorized as low or high for self-control and religiosity and risky or non-risky for sexual behavior using the study’s cut-off procedure. Associations were analyzed using Pearson’s Chi-Square test at α = 0.05. Respondents’ mean age was 16.08 ± 0.797 years, and 152 (50.8%) were female. Low self-control was identified in 154 students (51.5%), low religiosity in 255 (85.3%), and non-risky sexual behavior in 161 (53.8%). Self-control was significantly associated with sexual behavior (χ²(1) = 81.627, p < 0.001), as was religiosity (χ²(1) = 16.243, p < 0.001). All expected cell counts exceeded five. These findings indicate separate statistical associations within this sample. However, the cross-sectional design does not establish temporal direction, causality, or protective effects. Interpretation should consider questionnaire classification, self-reported responses, and the single-school setting when assessing applicability to other adolescent populations.

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