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All Journal E-Jurnal Medika Udayana Bulletin of Electrical Engineering and Informatics Pharmaciana: Jurnal Kefarmasian Indonesian Journal of Urology Jurnal Berkala Epidemiologi Jurnal Biosains Pascasarjana Jurnal NERS Indonesian Journal of Tropical and Infectious Disease Journal of Information Systems Engineering and Business Intelligence Journal of Tropical Biodiversity and Biotechnology Jurnal Kimia Riset The Indonesian Biomedical Journal Qanun Medika - Medical Journal Faculty of Medicine Muhammadiyah Surabaya Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo Indonesian Journal of Obstetrics and Gynecology (Majalah Obstetri dan Ginekologi Indonesia) Jurnal Samudra Ekonomi dan Bisnis INDONESIAN JOURNAL OF MEDICAL LABORATORY SCIENCE AND TECHNOLOGY Indonesian Journal of Clinical Pathology and Medical Laboratory (IJCPML) Jurnal Ners Narra J Berkala Ilmiah Kimia Farmasi Journal of Applied Nursing and Health Hang Tuah Medical Journal International Journal of Economics (IJEC)
Aryati Aryati
Dengue Study Group, Institute Of Tropical Disease, Universitas Airlangga, Mulyorejo Street, Mulyorejo 60115, Surabaya, East Java, Indonesia Clinical Pathology Department, Faculty Of Medicine, Universitas Airlangga, Prof.Dr.Moestopo Street, Tambaksari
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary

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Multimodal deep learning from sputum image segmentation to classify Mycobacterium tuberculosis using IUATLD assessment Saurina, Nia; Chamidah, Nur; Rulaningtyas, Riries; Aryati, Aryati
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.9250

Abstract

Tuberculosis (TB) continues to be a major global health issue, especially in areas with limited resources where diagnostic tools are often insufficient. Traditional TB detection methods are slow and lack sensitivity, particularly for early-stage or low bacterial load cases. This study introduces a new multimodal deep learning model that integrates sputum image segmentation across RGB, hue, saturation, and value (HSV), and CIELAB color channels, using the YOLOv8 model for real-time detection and segmentation. The model uses the International Union Against Tuberculosis and Lung Disease (IUATLD) grading scale for accurate Mycobacterium tuberculosis (MTB) classification. Our approach shows high accuracy (92.24%) and precise forecasting (mean absolute percent error (MAPE) of 0.23%), greatly enhancing diagnostic speed and reliability. This research offers a novel method for classifying MTB using a multimodal deep learning model that integrates sputum image segmentation across RGB, HSV, and CIELAB color channels. By using the YOLOv8 model for real-time bounding box detection and segmentation, and the IUATLD grading scale for classification, our method achieves high accuracy and precision in identifying TB bacteria. Our findings indicate that this multimodal deep learning approach significantly improves diagnostic accuracy and speed, providing a reliable tool for early TB detection.
Anemia Profiles and Inflammation Markers for Early Detection of Accompanying Diseases in Stunting Children Under Two Years, Lombok, West Nusa Tenggara, Indonesia Laily Indrayanti Yusuf; Luhung Budiailmiawan; Aryati Aryati; Lia Gardenia Partakususma; Sri Kartika Sari; Sri Rohmayana
Jurnal Ners Vol. 10 No. 2 (2026): APRIL 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v10i2.56450

Abstract

Stunting tetap menjadi masalah yang umum di kalangan anak-anak dengan gizi buruk kronis di Indonesia. Meskipun pemerintah telah menerapkan program tambahan makanan untuk anak di bawah dua tahun, hasilnya belum optimal, kemungkinan disebabkan oleh penyakit mendasar atau penyakit penyerta pada anak-anak yang mengalami stunting. Studi deskriptif potong lintang ini bertujuan untuk menggambarkan profil anemia dan penanda inflamasi pada anak-anak yang mengalami stunting di bawah dua tahun. Studi ini dilakukan pada Desember 2023 di Laboratorium Klinik Rumah Sakit Provinsi Nusa Tenggara Barat, menggunakan metode sampling kluster dan berurutan. Data dikumpulkan melalui wawancara, pengukuran antropometri, dan penilaian laboratorium menggunakan Mindray BC5380 untuk hematologi dan penanda inflamasi, Mindray BC-240 untuk kadar besi, dan Mindray 900 untuk kadar ferritin. Sampel diperoleh dari kegiatan layanan sosial di Desa Sukadana, Kabupaten Lombok Tengah. Di antara 49 anak stunting yang teridentifikasi, 87,8% diduga menderita proktokolitis alergi, 51,0% diduga menderita talasemia, 20,4% diduga menderita anemia defisiensi besi, 12,2% diduga menderita anemia penyakit kronis, 10,2% diduga menderita penyakit radang usus, 4,1% diduga menderita infeksi bakteri, dan masing-masing 2,0% diduga menderita tuberkulosis dan helminthiasis. Temuan ini menyarankan agar profil anemia dan penanda peradangan dilakukan secara rutin di fasilitas kesehatan primer untuk mengidentifikasi penyebab mendasar stunting dan meningkatkan hasil intervensi.
Factors Associated with Midwives' Knowledge Regarding Congenital Hypothyroidism Screening and Early Neonatal Management: A Cross-Sectional Study Anggraini, Lili; Narsiah, Narsiah; Aryati, Aryati
Journal of Applied Nursing and Health Vol. 8 No. 2 (2026): Journal of Applied Nursing and Health
Publisher : Chakra Brahmanda Lentera Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55018/janh.v8i2.646

Abstract

Background: Congenital hypothyroidism is a preventable cause of intellectual disability in neonates. Although neonatal screening programs have been implemented in Indonesia, gaps in midwives’ knowledge of screening and early management may hinder timely diagnosis and referral. Evidence on factors associated with midwives’ knowledge in primary healthcare settings remains limited. This study aimed to analyse factors associated with midwives’ knowledge regarding congenital hypothyroidism screening and early neonatal management. Methods: A cross-sectional analytical study was conducted in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines among 78 midwives registered with the Indonesian Midwives Association of Indonesia Kedungwaringin Branch, Bekasi Regency, West Java, Indonesia, in 2025. Total sampling was applied. The dependent variable was knowledge level (good/fair/poor), and independent variables included age, education level, years of work experience, training attendance, and professional journal-reading habits. Data were collected using a validated questionnaire (20 items across 5 domains; Cronbach’s α = 0.82; Content Validity Index = 0.87). Bivariate analysis was performed using Chi-Square tests, reporting χ² statistics, degrees of freedom, p-values, and 95% confidence intervals. Multivariable logistic regression was additionally conducted. Results: Of 78 respondents, 44 (56.4%) had good knowledge, 25 (32.1%) fair, and 9 (11.5%) poor knowledge. The majority were aged ≥30 years (59.0%), held a Diploma III (D3) qualification (57.7%), had >5 years of work experience (62.8%), had not attended CH-related training (56.4%), and did not routinely read midwifery journals (61.5%). Statistically significant associations were found between knowledge level and age (p = 0.001, OR = 1.84, 95% CI: 1.12–3.02), education level (p = 0.002, OR = 3.76, 95% CI: 1.58–8.94), years of work experience (p = 0.001, OR = 0.27, 95% CI: 0.11–0.66), training attendance (p < 0.001, OR = 7.04, 95% CI: 2.68–18.49), and journal-reading literacy (p = 0.002, OR = 4.85, 95% CI: 1.82–12.92). Midwives with higher education and training demonstrated significantly greater odds of good knowledge. Conclusion: Strengthening continuing professional education and evidence-based literacy programs may improve the quality of congenital hypothyroidism screening and support earlier neonatal diagnosis. Targeted CH screening training programs and promotion of professional reading habits are recommended as priority interventions for primary healthcare midwifery services in Indonesia. Multicenter longitudinal and intervention studies are warranted to establish causal relationships and evaluate training program effectiveness
A POWERFUL ELISA TECHNIQUE TO TEST THE POTENTIAL OF EXTRA VIRGIN OLIVE OIL IN REDUCING TNF-Α LEVEL AND EDEMA VOLUME IN MALE Rattus norvegicus EXPOSED TO CARRAGEENAN Andina Putri Aulia; Suprapto Maat; Aryati
JURNAL INDONESIA DARI ILMU LABORATORIUM MEDIS DAN TEKNOLOGI Vol 2 No 1 (2020): Laboratory Examinations Support in Medical Toxicology
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/ijmlst.v2i1.1400

Abstract

Extra virgin Olive oil is extracted from fruit that can be used as anti-inflammatory agent. This research aimed to test the potential of extra virgin olive oil in reducing edema volume and TNF-α plasma in carrageenan-induced rats. This research was purely experimental research with the post test control group design. A total of twenty eight Wistar rats were divided randomly into four treatment groups. Group I was a control negative group, while the group II, III, and IV were orally administered with extra virgin Olive oil at the dose of 0.9 ; 1.8 ; 2.7 mL/day, respectively. Paw edema was measured one hour before the rats was induced to carrageenan and every hour until four hours after it was induced to carrageenan. TNF-α plasma was measured at four hours. Analysis of the data was done by calculating the presentation of edema inhibition in every group, then the data was statistically analyzed by Anova, Repeated Anova, LSD and Kruskal Wallis test with 95% confidence interval. The result showed that extra virgin olive oil has an anti-inflammatory effect. The highest decrease in edema volume percentage was in group III (14.21%). There was a significant difference in the edema volume of all treatment groups at each time of the experiment with TNF-α value (p < 0.05). In conclusion, the administration of extra virgin olive oil can lower the volume of carrageenan-induced edema in rats depend on the dose. Also, the administration of extra virgin olive oil can be dose-dependent in reducing the levels of TNF-α in carrageenan-induced edema in rats.
Co-Authors Agus Santosa Agus Sulistyono Agustin Iskandar Aksono HP., Eduardus Bimo Alida Roswita Harahap Anak Agung Wiradewi Lestari Andina Putri Aulia Andrea Aprilia Andyanita Hanif Hermawati Anniwati, Leonita AR, M. Yazid Ariani, Grace Arifoel Hajat Bastiana Bastiana Budi Utomo Cavalier, Etienne Darto Saharso Desak Gde Ushadi Bulan Dewata Dewi Wulandari Djoko Santoso Doddy M. Soebadi Dominicus Husada Dwiyanti Puspitasari, Dwiyanti Eko Sulistijono Erawati Erawati Erni Juwita Nelwan, Erni Juwita Erwin Astha Triyono Fahimah Martak Ferdy Royland Marpaung Gondo Mastutik Handayani, Cut Fitri Harianto Notopuro Harsasi Setyawati Haryanto, Isnaeni Yudi Hebert Adrianto Heny Arwati Herdiman Theodorus Pohan Hermina Novida, Hermina I A Putri Wirawati I Dewa Gede Ugrasena Ilham Harlan Amarullah Indah Susanti Iris Rengganis Isnaeni Isnaeni Yudi Haryanto Isnin Anang Marhana Jusak Nugraha Kris Cahyo Mulyatno, Kris Cahyo Kuntaman Kuntaman Kusmiati, Tutik Kusumastuti, Etty H. Laily Indrayanti Yusuf Laksita, Tetuka B. Lia Gardenia Partakususma Lili Anggraini, Lili Luhung Budiailmiawan Lulut Kusumawati Lumban Toruan, Anggia Augustasia M. Andriady S. Nasution Maharani, Anisa Mardiyah, Nikmatul Margalin, Brilliant Marpaung, Ferdy Royland Masanori Kameoka, Masanori Ma`ruf, Anwar Merylin Ranoko Mohammad Guritno Suryokusumo Mufasirin Muhammad Nazarudin Muhammad Rivai Musofa Rusli Mustika Amri Nabil Salim Ambar Narsiah, Narsiah Nia Saurina Niluh Suwasanti Norwahyuni, Yuyun Nunki, Nastasya Nur Chamidah Nurdianto, Arif Rahman Patria Dewi, Pande Putu Ayu Perbowo, Primandono Pranidya, Nada Putri Purnomo, Windu Puspa Wardhani R Raharjo, Paulus R. Tedjo Sasmono Rahmawati, Lita Diah Retno Palupi Riries Rulaningtyas Rizaliansyah, Ferdian Rizqidhana Juliana Putri Rony, Zahara Tussoleha Royland Marpaung, Ferdy Saptawati Bardosono Saraswati Dewi Sari, Arabella Vonia Sasmono, R. Tedjo Setianingsih, Yennie A. Shifa Fauziyah Shuhai Ueda Siti Churrotin, Siti Soegeng Soegijanto Sofro, Muchlis AU Sri Kartika Sari Sri Masyeni, Dewa Ayu Putri Sri Rohmayana Sri Subekti Sri Sumarsih Suci Andriani Suhendro Suhendro SUKACITA TEHUPURING Sunari, I Gusti Agung Ayu Eka Putri Sunaryo Hardjowijoto Suprapto Maat Teguh Hari Sucipto, Teguh Hari Theresia Indah Budhy Sulisetyawati Thomas Tandi Manu Tjokroprawiro, Brahmana A. Tomohiro Kotaki, Tomohiro Trieva Verawaty Butarbutar Ueda, Shuhai Usman Hadi wahjoe djatisoesanto Wardhani, Puspa Wibrianto, Aswandi Widajati, Rahma Widodo J Pujiraharjo Yetti Hernaningsih Yohan, Benediktus Yovilianda Maulitiva Untoro Yulia Iriani, Yulia Yulia Nadar Indrasari Yuliasih