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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 Hang Tuah Medical Journal International Journal of Economics (IJEC) Jurnal Balireso: Jurnal Pengabdian pada Masyarakat
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 Other

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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.
PENTINGNYA LITERASI KEUANGAN UNTUK KELOMPOK WANITA TANI MEKARSARI DALAM MENINGKATKAN KEMANDIRIAN EKONOMI Nujum, Syamsu; Tenriwaru, Tenriwaru; Serang, Serlin; Aryati, Aryati
Jurnal BALIRESO Vol 11, No 1 (2026)
Publisher : Lembaga Pengabdian kepada Masyarakat Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/balireso.v11i1.387

Abstract

This Community Service Program (PKM) aims to enhance the financial literacy of the Mekar Sari Women Farmers Group in order to strengthen the members’ economic independence. The lack of understanding in managing household and farming finances has been identified as one of the main obstacles to improving family economic development. The program was implemented through a participatory approach, including socialization, training, mentoring, and evaluation of participants’ financial management skills. The training materials covered financial planning, simple cash flow recording, savings management, and strategies for productive use of business capital. The results showed a significant improvement in participants’ understanding and skills in budgeting, transaction recording, and managing business income independently. Furthermore, the program fostered greater awareness of the importance of long-term financial planning for family economic sustainability. This PKM activity has made a tangible contribution to enhancing financial literacy and economic independence among the Mekar Sari Women Farmers Group.
Validation of Rapid Antibody (IgM – IgG) Test Kit for SARS-CoV-2 Infection in Surabaya, Indonesia Museyaroh, Museyaroh; Wardani, Puspa; Aryati, Aryati; Woelansari, Evy Diah
JURNAL INDONESIA DARI ILMU LABORATORIUM MEDIS DAN TEKNOLOGI Vol 4 No 2 (2022): Enhanced knowledge of laboratory medicine's role in healthcare
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/ijmlst.v4i2.3027

Abstract

At the beginning of the Corona Virus Disease 2019 (COVID-19) pandemic, rapid test examinations were widely used as a screening for Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection. The purpose of this examination was to detect SARS-CoV-2 IgM/IgG antibodies in the patient's body. One of these tests uses the immunochromatographic method. This study aims to determine the validity of immunochromatography. The study was conducted from August to September 2020. The sample used in this study was 100 patients. The research was conducted at Husada Utama Hospital Surabaya, Indonesia. According to the study's findings, the Zybio brand reagent kit has an accuracy of 85%, a sensitivity of 82%, a specificity of 88%, a positive predictive value of 87%, and a negative predictive value of 83%. In the group of patients who experienced clinical symptoms, < 7 had a sensitivity of 50%, specificity of 88%, positive predictive value of 60%, negative predictive value of 83%, and accuracy of 77.94% while the group of patients experiencing clinical symptoms > 7 days, had a sensitivity value of 100 %, specificity of 88%, positive predictive value of 84%, negative predictive value of 100%, and accuracy of 92.68%. Based on these results, the conclusion is that the Zybio brand reagent kit has a relatively high sensitivity, specificity, positive predictive value, negative value, and sample accuracy. In the group with clinical sensitivity < 7 days, the positive predictive value and accuracy are lower than the sample group with clinical symptoms > 7 days but have the same specificity.
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.
Co-Authors Agus Santosa Agus Sulistyono Agustin Iskandar Aksono HP., Eduardus Bimo Alida Roswita Harahap Anak Agung Wiradewi Lestari 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 Evy Diah Woelansari 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 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 Museyaroh, Museyaroh Mustika Amri Nabil Salim Ambar 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 Rusli, Musofa Saptawati Bardosono Saraswati Dewi Sari, Arabella Vonia Sasmono, R. Tedjo Serlin serang 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 Syamsu Nujum 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 Wardani, Puspa Wardhani, Puspa Wibrianto, Aswandi Widajati, Rahma Widodo J Pujiraharjo Yetti Hernaningsih Yohan, Benediktus Yovilianda Maulitiva Untoro Yulia Iriani, Yulia Yulia Nadar Indrasari Yuliasih