Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer

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ELTIKOM Journal features research in Electrical Engineering, Information Technology, and Computer Science. Stay updated with the latest advancements & innovations.

Articles in this Journal

Deep Learning Approach for Pneumonia Prediction from X-Rays using A Pretrained Densenet Model

Pneumonia remains a major global health concern, particularly affecting young children and older adults, contributing to significant morbidity and mortality. Traditional diagnostic methods using chest CT scans are time-consuming and prone...

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An Intelligent Fuzzy Logic-Controlled IoT System for Efficient Hydroponic Plant Monitoring and Automation

This paper addresses the challenges of optimizing environmental conditions in hydroponic farming by integrating an Intelligent Fuzzy Logic-Controlled IoT System. The research problem lies in the inefficiency of traditional hydroponic monit...

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Fine-Grained Plant Classification using Vision Transformers with Optimized MLP Heads

Automatic plant species classification is crucial for advancing education and biodiversity conserva-tion. Deep learning models, such as Vision Transformer (ViT), have demonstrated strong performance in plant species classification tasks. H...

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Efficient Strategy for Distribution Transformer Replacement: A Study on Replacement Methods in Power Systems

A dependable and efficient electric power distribution system is increasingly required due to growing industrial and population demand. Many distribution transformers currently in use are outdated, which increases operating expenses and re...

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Smart Hydroponic Nutrient Monitoring and Control System using Fuzzy Logic and IoT

Hydroponic farming offers an efficient and sustainable solution for modern agriculture, although main-taining stable nutrient levels remains a key challenge. Previous systems often exhibited high overshoot and were unable to adapt to exter...

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A VGG16 CNN-based Method for Multiclass Lung Cancer Classification using CT Imaging

Lung cancer is the leading cause of death worldwide among all types of cancer. Early detection and accurate classification are essential to prevent disease progression and improve patient survival rates. One effective approach is the use o...

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Wound Depth Measurement System in Forensic Cases using Image Processing and Machine Learning

Accurate evaluation of wound depth is crucial in forensic investigations, as it significantly affects case assessments and outcomes. This study introduces a method for classifying wound depth using a Support Vector Machine (SVM) model and...

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Optimization Model for Fake Account Detection on Twitter (X) Social Media using Feature Engineering and Machine Learning Approaches

Twitter (X) has become an important platform for community interaction, but this also creates serious challenges due to the proliferation of fake accounts that can harm users and undermine credibility. Previous studies have proposed detect...