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All Journal Jurnal Ilmiah Kedokteran Wijaya Kusuma Journal of Robotics and Control (JRC) JOURNAL LA MEDIHEALTICO Jurnal EduHealth Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram CoMPHI Journal : Community Medicine and Public Health of Indonesia Journal Eduvest - Journal of Universal Studies Prosiding Seminar Nasional Kusuma Prosiding Seminar Nasional COSMIC Kedokteran Medicosphere
Fara Disa Durry
Fakultas Kedokteran, UPN Veteran Jawa Timur
Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Association Between Household Food Security And Nutritional Status Among Children Age Under 5 Years In Flood Prone Area, Sukolilo, Surabaya durry, fara disa; Handini, Laksmi Suci; Seliana, Irma; Febriawan, Zulfan; Sari, Lilik Nurindah; Santoso, Shaira Nadinda; Yudinda, Salsabilla Cathabell; Nahya, Fibran Aryan Nahya; Novendra, Gala; Syahbaa , Zebaa Basyaasyah Baarigh; Arianti, Novi Rahayu
CoMPHI Journal: Community Medicine and Public Health of Indonesia Journal Vol. 5 No. 2 (2024): Oktober
Publisher : Perhimpunan Dokter Kedokteran Komunitas dan Kesehatan Masyarakat Indonesia (PDK3MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/comphijournal.v5i2.253

Abstract

Household food insecurity (HFI) is a significant issue that affects both developed and developing countries, leading to various health and nutritional problems. Particularly concerning is the impact of food insecurity on young children, who are highly vulnerable to malnutrition and stunting. Sukolilo is a flood-prone area, and flooding can cause changes in household food security and impact the nutritional status of children. This study to determine the association between household food security and the nutritional status of toddlers in Sukolilo. This study used a cross-sectional method by collecting data on household characteristics (parents' age, education, number of children, parents' employment status, and total income), measuring household food security through the Household Food Insecurity Access Scale (HFIAS) questionnaire, and measuring anthropometry (W/A) in toddlers to analyze nutritional status. The results showed that there is a significant relationship between mother education level (P = 0.03), number of children (P = 0.000), and mother employment status (P = 0.000) with household food security (p < 0.05). As well as there is an association between household food security and children's nutritional status (P<0.05) (AOR (95% CI) 0.86 (0.77 – 1.73)). It can be concluded that household food security has a strong relationship with the nutritional status of toddlers.
PERAN DOKTER DALAM MENINGKATKAN LITERASI KESEHATAN MASARAKAT MELALUI ARTIFICIAL INTELLIGENCE Auliya, Rafi; Zahira, Alya Shofiyah; Satyafebrianti, Kendra Callista; Agustina, Putri Noviana; Durry, Fara Disa
Prosiding Seminar Nasional COSMIC Kedokteran Vol 3 (2025): Edisi 2025
Publisher : Lembaga Penelitian Dan Pengabdian Kepada Masyarakat Universitas Wijaya Kusuma Surabaya

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Abstract

Latar belakang: Dalam beberapa tahun terakhir, teknologi Artificial Intelligence telah menunjukkan potensi besar dalam bidang kesehatan, mulai dari diagnosis penyakit hingga personalisasi pengobatan. Penggunaan AI dalam literasi kesehatan dapat mencakup berbagai aspek, seperti pembuatan konten edukasi kesehatan yang dipersonalisasi, analisis tren kesehatan populasi untuk mengidentifikasi kebutuhan edukasi, serta penggunaan chatbot dan aplikasi mobile untuk memberikan informasi kesehatan. Dokter dengan dukungan Artificial Intelligence, dapat menjadi agen perubahan dalam masyarakat untuk membantu meningkatkan literasi kesehatan. Tujuan: Kajian literatur ini untuk menelusuri peran kecerdasan buatan dalam dunia kedokteran serta manfaatnya bagi Tenaga Kesehatan terkait edukasi Kesehatan pada masyarakat. Metode: Metode yang digunakan adalah literature review yang berfokus pada jurnal terkait dengan penggunaan Artificial Intelligence dalam dunia Kesehatan khususnya dalam Kesehatan Masyarakat sehingga diperoleh hasil sebanyak 5 jurnal dengan 2 jurnal berbahasa Indonesia dan 3 jurnal berbahasa Inggris. Hasil: Berdasarkan 5 penelitian yang ditelaah diperoleh hasil bahwa Kecerdasan Buatan mempunyai manfaat yang besar dalam membantu tenaga Kesehatan. Dokter yang menggunakan chatbot dapat secara efektif menyediakan informasi yang lebih relevan dan mudah dipahami oleh masyarakat, sehingga meningkatkan literasi Kesehatan. Kesimpulan: Kajian literatur ini menunjukan bahwa pemanfaatan Artificial Intelligence oleh dokter memiliki potensi besar untuk meningkatkan literasi kesehatan masyarakat dan mendorong perilaku kesehatan yang baik.
The Influence of Zinc Supplementation on Improving Learning Concentration and Hemoglobin Levels in Anemic Adolescent Girls at Junior High School Sahadewa, Sukma Disa; Durry, Fara Disa; Khamidah, Nur Disa; Windayani, Novia Restu
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 13, No 3: July 2025
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v13i3.16399

Abstract

Mild to moderate anemia impairs cognitive performance and academic engagement among adolescent girls, yet school-based nutrition programs in Indonesia focus largely on iron and vitamin A. This study evaluated whether a focused 30-day regimen of 20 mg/day zinc could improve both hemoglobin concentration and attention, as measured by the Stroop Color–Word Test, in 30 junior high school girls with baseline hemoglobin < 12 g/dL. Following daily supplementation, mean hemoglobin rose from 10.6 ± 0.5 g/dL to 12.4 ± 0.4 g/dL (Δ = 1.8 g/dL, p < 0.001, Cohen’s d = 3.86), fully eliminating moderate anemia in this cohort. Stroop scores increased from 61.2 ± 5.3 to 75.8 ± 4.6 points (Δ = 14.6, p < 0.001, Cohen’s d = 2.88), with no students remaining in the lowest concentration category post-intervention. These parallel gains reflect zinc’s dual role in enhancing erythropoiesis improving cerebral oxygen delivery—and modulating neurotransmission via NMDA/GABA balance and BDNF upregulation. Effect sizes exceed those typically reported for iron-only or broader micronutrient interventions. Findings support integrating a one-month zinc supplement into Indonesian school-health protocols to rapidly correct anemia and bolster cognitive readiness for learning.
The Correlation of Landslide Disaster with Increased Cases of Atopic Dermatitis in Disaster Victims : A Literature Review Carissa Aulia Ramadhani Sutopo; Seliana, Irma; Durry, Fara Disa; Tedjaprasadja, Leonardo; Verawaty, Liana
Journal of Diverse Medical Research: Medicosphere Vol. 2 No. 7 (2025): J Divers Med Res 2025
Publisher : Faculty of Medical - UPN Veteran Jawa Timur

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Abstract

Background landslides not only bring physical damage, but also trigger various health problems, including an increase in cases of atopic dermatitis. The post-landslide environment conditions that are humid, dusty, and limited access to clean water in evacuation centers worsen the skin health of the survivors. Exposure to allergens from soil, mold, and disaster stress further increases the risk of skin inflammation. Purpose from this literature is to analyze the relationship between landslide disasters and the increase in atopic dermatitis cases through environmental factors and explore the effect of limited sanitation and allergen exposure on the increase in atopic dermatitis cases after landslide disasters. Method this study uses Literature Review with data obtained from the databases Science Direct, Elsevier, Open Exploration, Research Gate, Pubmed, Taylor and Francis, Proquest, and SINTA with a total of 10 national journal articles, 20 international journal articles, and 5 theses. Result some studies show that landslides can increase cases of atopic dermatitis due to exposure to dust, mold, poor sanitation, and stress in evacuation camps. Changes in microbiota and the immune system are also implicated in aggravating symptoms, and microbiota manipulation is a suggested therapeutic strategy. Other studies have shown that such an impact does not necessarily take place, especially where quality emergency sanitation and adequate access to health care services exist. Conclusion environmental, sanitation, and microbiota factors play a role in the severity of atopic dermatitis, especially in areas affected by landslides. Exposure to dust, mold, and limited clean water in evacuation camps can worsen skin conditions, while post-disaster stress also weakens the immune system, so health, hygiene, and environmental management education is needed for more effective prevention. However, some studies argue that not all landslide events increase atopic dermatitis, especially in regions with adequate emergency sanitation and health services.
The Influence of Zinc Supplementation on Improving Learning Concentration and Hemoglobin Levels in Anemic Adolescent Girls at Junior High School Sahadewa, Sukma; Durry, Fara Disa; Khamidah, Nur; Windayani, Novia Restu
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 13 No. 3: July 2025
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v13i3.16399

Abstract

Mild to moderate anemia impairs cognitive performance and academic engagement among adolescent girls, yet school-based nutrition programs in Indonesia focus largely on iron and vitamin A. This study evaluated whether a focused 30-day regimen of 20 mg/day zinc could improve both hemoglobin concentration and attention, as measured by the Stroop Color–Word Test, in 30 junior high school girls with baseline hemoglobin < 12 g/dL. Following daily supplementation, mean hemoglobin rose from 10.6 ± 0.5 g/dL to 12.4 ± 0.4 g/dL (Δ = 1.8 g/dL, p < 0.001, Cohen’s d = 3.86), fully eliminating moderate anemia in this cohort. Stroop scores increased from 61.2 ± 5.3 to 75.8 ± 4.6 points (Δ = 14.6, p < 0.001, Cohen’s d = 2.88), with no students remaining in the lowest concentration category post-intervention. These parallel gains reflect zinc’s dual role in enhancing erythropoiesis improving cerebral oxygen delivery and modulating neurotransmission via NMDA/GABA balance and BDNF upregulation. Effect sizes exceed those typically reported for iron-only or broader micronutrient interventions. Findings support integrating a one-month zinc supplement into Indonesian school-health protocols to rapidly correct anemia and bolster cognitive readiness for learning.
Improving Classification Accuracy of Breast Ultrasound Images Using Wasserstein GAN for Synthetic Data Augmentation Mas Diyasa, I Gede Susrama; Humairah, Sayyidah; Puspaningrum, Eva Yulia; Durry, Fara Disa; Lestari, Wahyu Dwi; Caesarendra, Wahyu; Dewi, Deshinta Arrova; Aryananda, Rangga Laksana
Journal of Robotics and Control (JRC) Vol. 6 No. 4 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v6i4.25075

Abstract

Breast cancer remains one of the most prevalent cancers in Indonesia, and early detection plays a vital role in improving patient outcomes. Ultrasound imaging is a non-invasive and accessible technique used to classify breast conditions into normal, benign, or malignant categories. The advancement of deep learning, particularly Transfer Learning with Convolutional Neural Networks (CNNs), has significantly enhanced the performance of automated image classification. However, the effectiveness of CNNs heavily relies on large, balanced datasets—resources that are often limited and imbalanced in medical domains. To address this issue, this study explores the use of Wasserstein Generative Adversarial Networks (WGAN) for synthetic data augmentation. WGAN is capable of learning the underlying distribution of real ultrasound images and generating high-quality synthetic samples. The inclusion of the Wasserstein distance stabilizes training, with convergence observed around 2500–3000 epochs out of 5000. While synthetic data improves classifier performance, there remains a potential risk of overfitting, particularly when the synthetic images closely mirror the training data. Compared to traditional augmentation techniques such as rotation, flipping, and scaling, WGAN-generated data provides more diverse and realistic representations. Among the tested models, VGG16 achieved the highest accuracy of 83.33% after WGAN augmentation. Nonetheless, computational resource limitations posed challenges in training stability and duration. Furthermore, issues related to model generalizability, as well as ethical and patient privacy considerations in using synthetic medical data, must be addressed to ensure responsible deployment in real-world clinical settings.
Wastewater Surveillance of SARS-CoV-2 as Monitoring Tool for COVID-19: A Literature Review Satyafebrianti, Kendra Callista; Tedjaprasadja, Leonardo; Durry, Fara Disa; Seliana, Irma
Journal of Diverse Medical Research: Medicosphere Vol. 2 No. 8 (2025): J Divers Med Res 2025
Publisher : Faculty of Medical - UPN Veteran Jawa Timur

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Abstract

Background: The COVID-19 pandemic, caused by SARS-CoV-2, has significantly impacted global health, requiring effective surveillance methods. Wastewater surveillance has emerged as a cost-effective and non-invasive tool to detect viral RNA from both symptomatic and asymptomatic individuals, allowing early detection of outbreaks. Objective: This study analyzes the effectiveness of wastewater surveillance in detecting SARS-CoV-2 RNA in untreated wastewater, comparing it with clinical surveillance and evaluating its role in public health monitoring. Method: A literature review was conducted using PubMed, Google Scholar, and Scopus, focusing on studies published between 2015–2025. Articles were selected based on relevance, availability, and originality, applying the PICO strategy to refine the search. From ten initially identified studies, two were selected for in-depth analysis. Result: The findings demonstrate that wastewater surveillance effectively tracks SARS-CoV-2 trends in communities. A study in Brazil showed a strong correlation between viral loads in wastewater and clinical case trends, proving its potential as an early warning system. Meanwhile, research in Australia confirmed the presence of SARS-CoV-2 in wastewater and estimated infection prevalence using Monte Carlo simulation, aligning with reported clinical cases. These studies highlight wastewater surveillance as a reliable tool for population-wide monitoring. Conclusion: Wastewater surveillance is a proven method for detecting SARS-CoV-2, complementing clinical surveillance by enabling early detection, wider coverage, and cost efficiency. Challenges such as RNA degradation and detection standardization require further research, but integrating RT-qPCR and genomic sequencing enhances its accuracy for future epidemiological monitoring.
Relationship between BMI (Body Mass Index) and Cholesterol in the Community Around UPN "Veteran" Jawa Timur Fara Disa Durry; Prasetyaning Estu Pratiwi; Irma Seliana; Zulfan Febriawan
Jurnal EduHealth Vol. 14 No. 04 (2023): Jurnal eduHealt, 2023, December
Publisher : Sean Institute

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Abstract

Cholesterol is a risk factor for non-communicable diseases. High cholesterol levels that exceed normal limits or hypercholesterolemia can be a risk factor that causes various non-communicable diseases such as an increased risk of hypertension, obesity, stroke and coronary heart disease. The factor associated with high cholesterol is Body Mass Index (BMI). High body mass index (BMI) is caused by high calorie consumption patterns, lack of physical activity, and consuming foods that contain high amounts of calories, salt and fat, including cholesterol. Weight gain is also associated with increased serum cholesterol levels. The aim of this research is to determine the relationship between BMI and cholesterol levels in the community around UPN "Veteran" Jawa Timur. The method used is descriptive-analytic with a cross-sectional research design. The research sample used was the community around UPN "Veteran" Jawa Timur who visited UPN Serving activities. The sample consisted of 69 people with sampling using simple random sampling techniques. Data analysis used bivariate analysis (chi square test). The results showed that of the 69 respondents, the largest percentage of BMI was normal at 52.4%, overweight at 31.9% and obesity 1 at 8.7%. Meanwhile, the results of cholesterol levels were obtained from 29 people in the high cholesterol level category and 40 people in the low cholesterol level category. The Chi-Square test between body mass index (BMI) and cholesterol levels in the community around UPN "Veteran" Jawa Timur obtained a statistical result of 0.675 (p > 0.05). The conclusion of the research is that there is no relationship between body mass index (BMI) and cholesterol levels in the community around UPN "Veteran" Jawa Timur .
The Utilization Of Local Food Materials In Food Bars For Disaster Resilience Amidst Modern Transformation Durry, Fara Disa; Prasetya, Johan Danu; Sahadewa, Sukma; Windyantini, Hanna; Winata, Lionesya Sukma; Artha Putri, Awanda Dias Rizkia
Eduvest - Journal of Universal Studies Vol. 4 No. 6 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i6.1273

Abstract

Indonesia is a country that is prone to natural disasters. Landslide disaster are the 3rd highest disaster intensitas in Indonesia that happened in 2020. According to data from the National Disaster Management Agency (BNPB), Indonesia experienced 12,254 disasters during the period 2015 to 2019. Various kinds of disasters such as floods, tsunamis, earthquakes, volcanic eruptions occur and usually have impacts that make it difficult for people to get aid, one of which is food. Providing emergency food easy to consume and contains high calories is important to do and to increase the nation's food security. The development of emergency food based on local products has been widely explored. Method The study is a literature review with the keywords food resilient, landslides, emergency food product, food bars in several databases such as proquest, science direct, pubmed, and google scholar.Result The study aimed to review food bars as food resilient using lokal food ingredients during landslide disaster.
Co-Authors Agustina, Putri Noviana Alya Raguan Al Habsyi Alya Shofiyah Zahira Aninda Tanggono Arianti, Novi Rahayu Artha Putri, Awanda Dias Rizkia Aryananda, Rangga Laksana Auliya, Rafi awanda Dias Rizkia Artha Putri Bambang Wirjatmadi Bambang Wirjatmadi Bambang Wirjatmadi Carissa Aulia Ramadhani Sutopo Dewi, Deshinta Arrova Djarin, Nengah Michael Dharma Eva Yulia Puspaningrum Fakhirah Nailah Anrofi Febriawan, Zulfan Fibran Aryan Nahya Handini, Laksmi Suci Humairah, Sayyidah I Putu Agus Aris Wijaya Kusuma Irma Seliana Irma Seliana Kendra Callista Satyafebrianti Lionesya Sukma Winata Mas Diyasa, I Gede Susrama Merryana Adriani Nahya, Fibran Aryan Nahya Novendra, Gala Novia Restu Windayani, Novia Restu Nur Khamidah Nur Khamidah Prasetya, Johan Danu Prasetyaning Estu Pratiwi Prayogi, Bimo Satrio Prita Aulia Nastaghfiruka Putri Noviana Agustina4 Putri, Awanda Dias Rizkia Artha Rafi Auliya Arbani Santoso, Shaira Nadinda Sari, Lilik Nurindah Satyafebrianti, Kendra Callista Seliana, Irma Sukma Sahadewa, Sukma Syahbaa , Zebaa Basyaasyah Baarigh Tedjaprasadja, Leonardo Verawaty, Liana Wahyu Caesarendra Wahyu Dwi Lestari Winata, Lionesya Sukma Windyantini, Hanna Yudinda, Salsabilla Cathabell Zahira, Alya Shofiyah Zulfan Febriawan Zulfan Febriawan