Vol. 19 No. 1 (2026): Jurnal Elektro : April 2026
Vol. 19 No. 1 (2026) presents five articles. Artificial Intelligence and Signal Processing contributions compare C4.5 and random forest classifiers for diabetes prediction and apply temporal convolutional networks to stock price forecasting. The issue also covers an on-grid PV system for a water treatment plant (Power Engineering and Renewable Energy), ultrasonic flow measurement in an IoT water control system (Internet of Things), and SDN-based DDoS detection in IoT networks (Telecommunications and Computer Networks).
Articles
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Evaluation Of The C4.5 Decision Tree and Random Forest Classification Algorithms in Predicting Diabetes
Abstract views: 247 | PDF Downloads : 199 -
Perencanaan dan Implementasi Sistem Pembangkit Listrik Tenaga Surya On-Grid pada Instalasi Pengolahan Air
Abstract views: 187 | PDF Downloads : 301 -
Implementation of Ultrasonic Sensor in IoT-Based Water Volume Control and Flow Rate Reading System
Abstract views: 307 | PDF Downloads : 273 -
Enhancing Stock Price Prediction Using Temporal Convolutional Network with Moving Average Features
Abstract views: 278 | PDF Downloads : 321 -
Hierarchical SDN DDoS Detection in IoT Networks via Shannon Entropy and Adaptive Thresholding
Abstract views: 118 | PDF Downloads : 101



