Jurnal Teknokes

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Biomedical

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Jurnal Teknokes menyajikan artikel ilmiah dan riset terbaru di bidang teknologi kesehatan, inovasi medis, dan ilmu kesehatan. Akses publikasi berkualitas.

Articles in this Journal

Improvement of Non-invasive Blood Sugar and Cholesterol Meter with IoT Technology

 In checking blood sugar levels, patients often feel uncomfortable because invasive blood sampling must be done and if done to patients who have a history of high glucose, it can cause wounds that are difficult to heal and can be oper...

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SERAYA: A Mobile App for Mental Health with Personalized Self-Healing Recommendations Based on Psychological Assessment

Mental health disorders are a crucial public health issue in Indonesia, as reflected in the 2023 National Health Survey (SKI), which reported that 2.0% of the population aged ≥15 years old were diagnosed with mental health problems, and ap...

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

Diabetes mellitus (DM) is a growing metabolic and autoimmune-related disease whose early onset is increasingly observed among young adults, including the university students in Indonesia. The existing screening models are either costly, in...

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Isolation, Quantification, and Plaque Morphology Analysis of Lytic Bacteriophages from River Water Targeting Clinical MDR Klebsiella pneumoniae Using the Double-Layer Agar Method

Antimicrobial resistance is a growing global health threat and is projected to cause up to 10 million deaths per year by 2050. Klebsiella pneumoniae is a priority pathogen due to its multidrug resistance (MDR) mechanisms, such as extended-...

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The Effect Of Time Variation and Sodium Chloride (NaCl) Concentration In The Sedimentation Method On Soil-Transmitted Helmints (STH) Examination

Soil-transmitted helminths (STH) remain a significant public health concern, particularly in regions with inadequate sanitation. While the sedimentation method is routinely employed for STH diagnosis, the effects of procedural variables su...

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Vision Transformer Enhanced by Contrastive Learning: A Self-Supervised Strategy for Pulmonary Tuberculosis Diagnosis

Tuberculosis (TB) diagnosis from Chest X-ray (CXR) images poses a significant challenge in radiology due to the inherent data imbalance and subtle lesion heterogeneity. These factors cause traditional deep learning models, like standard CN...

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Performance Evaluation of a Smart Aeration System for Tilapia Farming Based on IoT and Environmental Sensing

Fluctuations in dissolved oxygen (DO) levels in high-density biofloc-based tilapia aquaculture pose a critical challenge that directly affects fish growth, survival rate, and feed conversion efficiency. Traditional aeration systems that op...

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Food Detection to Estimate Calories Using Detection Transformer

Accurately estimating calorie intake remains a common challenge, as many individuals have limited understanding of portion sizes and the caloric content of foods. This lack of nutritional knowledge is a major cause of both over- and under-...

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

Early detection of Autism Spectrum Disorder (ASD) is a crucial challenge in child development interventions because conventional screening methods are often subjective and prone to assessor bias. This study proposes an objective solution i...