Archives
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TEKNOIF OCTOBER 2026
Vol. 14 No. 2 (2026) -
TEKNOIF APRIL 2026
Vol. 14 No. 1 (2026)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. -
TEKNOIF OCTOBER 2025
Vol. 13 No. 2 (2025)We would like to express our sincere gratitude to all authors, reviewers, and editorial team members who contributed to the publication of Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Volume 13, Number 2.
This issue comprises eight research articles authored by 25 researchers affiliated with universities and higher education institutions across Indonesia: : Muhammadiyah University of Bengkulu, Ahmad Dahlan University, PGRI University Semarang, Astra Polytechnic, University of Mataram, Ibn Khaldun University Bogor, and State Manufacturing Polytechnic of Bangka Belitung. The articles cover a range of topics in information technology, including data mining and classification using the C4.5 algorithm, real-time inventory management systems, geographic information systems and clustering analysis, machine learning for electricity consumption analysis, neural networks for cardiovascular disease prediction, user-centered application design, and web-based information systems integrated with WhatsApp. The contributions in this issue demonstrate the application of computational methods and information technology to address practical challenges in business operations, public services, energy management, healthcare, and information systems development. This issue features articles written in both Indonesian and English. Articles written in Indonesian include abstracts in Indonesian, while articles written in English are presented in English. We hope that the articles published in this issue will provide valuable insights, support further research, and contribute to the advancement of information technology and its applications in various fields. We sincerely appreciate the contributions and collaboration of all parties involved in the publication of this issue.
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TEKNOIF APRIL 2025
Vol. 13 No. 1 (2025)We would like to express our sincere gratitude to all authors, reviewers, and editorial team members for their valuable contributions to the publication of Jurnal Teknik Informatika Institut Teknologi Padang. This edition contains 7 articles by 16 authors from 5 universities across Indonesia: Padang State Polytechnic, North Sumatra State Islamic University, Indonesian Adventist University, Padang Institute of Technology, and Andalas University. This issue presents research articles focusing on the development and implementation of information technology across various application domains. The topics include website development using the Incremental Method, the application of logistic regression and artificial neural networks to identify students at risk of dropping out, a WhatsApp-based student admission information system with e-reminder functionality, population density identification using hierarchical clustering, and the implementation of security and high availability mechanisms on cloud servers using Amazon Web Services (AWS). These studies highlight the role of software engineering, machine learning, data clustering, information systems, and cloud computing in addressing practical challenges in education, demographic analysis, digital services, and information infrastructure. Through this issue, we aim to disseminate research findings that contribute to the advancement of information technology and provide useful references for academics, researchers, students, and practitioners. We extend our appreciation to everyone involved in the editorial and publication process. We hope that the articles in this issue will inspire further research, encourage technological innovation, and support the development of effective technology-based solutions for real-world problems.
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TEKNOIF OCTOBER 2024
Vol. 12 No. 2 (2024)We would like to thank the authors, reviewers, and editorial team of Jurnal Teknoif Teknik Informatika Institut Teknologi Padang for the publication of Volume 12 No. 2. This edition publishes 10 articles with 33 authors from 10 universities spread across Indonesia, namely from Dian Nuswantoro University, Respati University Yogyakarta, Padang Institute of Technology, Paramadina University, Indramayu State Polytechnic, Padang State Polytechnic, University Stikubank (Unisbank) Semarang, Andalas University, and University Dr. Soetomo
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TEKNOIF APRIL 2024
Vol. 12 No. 1 (2024)In this volume and number, it consists of 8 articles with 24 authors and 6 universities. including, Universitas Putra Indonesia "UPI" YPTK Padang, Universitas Andalas, Universitas Kristen Maranatha, Paramadina University, Politeknik Keselamatan Transportasi Jalan, and Universitas Islam Negeri Sultan Syarif Kasim Riau
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TEKNOIF OCTOBER 2023
Vol. 11 No. 2 (2023)This volume consists of 5 articles with 14 authors from 5 universities in Indonesia, namely Universitas Paramadina, STMIK YMI Tegal, Institut Tekonologi Telkom Purwokerto, Universitas Putra Indonesia YPTK Padang, and Universitas Negeri Medan
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TEKNOIF APRIL 2023
Vol. 11 No. 1 (2023)This volume consists of 5 articles with 14 authors from 4 universities in Indonesia, namely the Padang Institut Teknologi Padang, Universitas Putra Indonesia YPTK Padang, STKIP – Al Maksum Langkat, and Sekolah Tinggi Manajemen Informatika and Komputer IKMI Cirebon
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TEKNOIF OCTOBER 2022
Vol. 10 No. 2 (2022)Pada Volume ini terdiri atas 7 artikel dengan 20 penulis yang berasal dari 7 Perguruan tinggi di Indonesia, yaitu Institut Teknologi Padang, Universitas Muhammadiyah Surakarta, Universitas Muhammadiyah Bengkulu, Sekolah Tinggi Manajemen Informatika dan Komputer Tegal, Institut Teknologi dan Bisnis Bina Adinata, Universitas Andalas, dan Politeknik Negeri Padang,
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JURNAL TEKNOIF ITP
Vol. 3 No. 2 (2015) -
JURNAL TEKNOIF ITP
Vol. 3 No. 1 (2015)
