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Smart Screening Technology for Diabetes Risk: FFQ and FINDRISC Integration in a Digital Platform

Yuswanto Setyawan (1)
(1) Faculty of Medicine, Ciputra University, Surabaya, Indonesia, Indonesia
198-206
Abstract : 316
PDF : 197

Classification of Autism Spectrum Disorder (ASD) in Children Using the VGG19 CNN Model Based on Facial Landmarks of the Eye and Forehead Areas

DOI : 10.35882/jteknokes.v19i2.158
yunidar (1), Arya Suyanda (2), Melinda Melinda (3), Lailatul Qadri Zakaria (4), Siti Rusdiana (5)
(1) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(2) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(3) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(4) Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia, Malaysia ,
(5) Department of Mathematics, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia
061-071
Abstract : 498
PDF : 101

Early Detection of Biliary Atresia through Quantitative Ultrasound Imaging: A Retrospective Analysis of Key Diagnostic Features

Lenny Violetta (1), Dian Nurhayati (2), Ryan Elmanar (3)
(1) Pediatric Radiology Consultant, Department of Radiology, Faculty of Medicine, Dr. Soetomo General Academic Hospital, Surabaya, Indonesia, Indonesia ,
(2) Pediatric Radiology Consultant, Department of Radiology, Faculty of Medicine, Dr. Soetomo General Academic Hospital, Surabaya, Indonesia, Indonesia ,
(3) Radiology Resident, Department of Radiology, Dr. Soetomo General Academic Hospital, Surabaya, Indonesia, Indonesia
166-173
Abstract : 378
PDF : 269

Phonocardiography for Early Detection of Arrhythmia Using Rule-Based Approach

DOI : 10.35882/g0h9hj05
Maulida Sri Karomah (1), Priyambada Cahya Nugraha (2), Anita Miftahul Maghfiroh (3)
(1) Department of medical electronic tecnolog, Poltekkes Kemenkes Surabayai, Indonesia ,
(2) Department of medical electronics technology, poltekkes kemenkes surabaya, Indonesia ,
(3) Department of medical electronics technology, poltekkes kemenkes surabaya, Indonesia
176-183
Abstract : 311
PDF : 127

Digital Innovation for Monitoring the Mental Health of Students at UPN "Veteran" East Java Using the PHQ-9 Instrument

DOI : 10.35882/d384ah59
Hendra maulana (1), Delia Citra (2), Lintang Sari (3), Tsabita Safana (4), Erica Aprilia (5)
(1) Department of Digital Business, Universitas Pembangunan Nasional “Veteran, Surabaya, Indonesia, Indonesia ,
(2) Department of of Informatic, Universitas Pembangunan Nasional “Veteran, Surabaya, Indonesia, Indonesia ,
(3) Department of of Informatic, Universitas Pembangunan Nasional “Veteran, Surabaya, Indonesia, Indonesia ,
(4) Department of of Informatic, Universitas Pembangunan Nasional “Veteran, Surabaya, Indonesia, Indonesia ,
(5) Department of of Informatic, Universitas Pembangunan Nasional “Veteran, Surabaya, Indonesia, Indonesia
124-134
Abstract : 440
pdf : 184

Child Growth and Development Monitoring in the Digital Era: A Systematic Review of Mobile and Digital Health Applications in Indonesia

DOI : 10.35882/jteknokes.v19i1.128
Norlaila Sofia (1), Tien Zubaidah (2), Hapisah (3), Noor Adha Aprilea (4), Rusmilawaty (5)
(1) Department of Midwifery, Poltekkes Kemenkes Banjarmasin, Banjarmasin, Indonesia ,
(2) Department of Midwifery, Poltekkes Kemenkes Banjarmasin, Banjarmasin, Indonesia ,
(3) Department of Midwifery, Poltekkes Kemenkes Banjarmasin, Banjarmasin, Indonesia ,
(4) Department of Midwifery, Poltekkes Kemenkes Banjarmasin, Banjarmasin, Indonesia ,
(5) Department of Environmental Health, Poltekkes Kemenkes Banjarmasin, Banjarmasin, Indonesia
1-13
Abstract : 579
PDF : 374

Sistemic Review and Meta-Analysis: PCR For Early Detection Of Infection Intrauterine And Prediction Obstetric Complications In High-Risk Pregnancy

DOI : 10.35882/jteknokes.v18i4.120
Evi Irianti (1), Ice Ratnalela Siregar (2)
(1) Department of Technology of Medical Laboratory, Poltekkes Kemenkes Medan, Indonesia , Indonesia ,
(2) Department of Technology of Medical Laboratory, Poltekkes Kemenkes Medan, Indonesia , Indonesia
Abstract : 220
PDF : 138

Beta-Band Electroencephalography Classification for Autism Spectrum Disorder Using Wavelet Features and Least-Squares Support Vector Machine

DOI : 10.35882/jteknokes.v19i2.148
Muhammad Irhamsyah (1), melinda melinda (2), Sri Rahayu Ade (3), Saifullah Nur Muhammad (4), Yunidar Yunidar (5), Nurlida Basir (6)
(1) Department of Electrical Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia ,
(2) Department of Electrical Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia ,
(3) Department of Electrical Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia ,
(4) Department of Electrical Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia ,
(5) Department of Electrical Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia ,
(6) Universiti Sains Islam Malaysia (USIM), Malaysia, Malaysia
110-119
Abstract : 139
PDF : 59
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