Jurnal Teknoif Teknik Informatika Institut Teknologi Padang

This issue of Jurnal Teknoif Teknik Informatika Institut Teknologi Padang presents a collection of research articles highlighting recent developments and practical applications of information technology across diverse domains. The authors featured in this issue hail from two countries: Nigeria and Indonesia. The published studies explore feature engineering in graph-based network intrusion detection, real-time solar power monitoring using Internet of Things (IoT) technology, vegetation classification using Sentinel-2 imagery and Google Earth Engine, lightweight deep learning for Alzheimer's disease classification, and daily rainfall classification using XGBoost with SMOTE.
Collectively, these contributions demonstrate the growing role of data-driven methods, machine learning, deep learning, remote sensing, and intelligent monitoring systems in addressing contemporary challenges in cybersecurity, renewable energy, environmental analysis, healthcare, and weather-related prediction.
Through this issue, Teknoif aims to contribute to the advancement of scientific knowledge and technological innovation while providing valuable insights for researchers, academics, students, and practitioners in information technology and related fields. We sincerely thank all authors, reviewers, and editorial team members for their valuable contributions to the publication of this issue. We hope that the articles presented herein will inspire further research and support the development of innovative technology-based solutions.