Vol. 1 No. 1 (2026)

The Indonesian Journal of Machine Learning and Intelligent Systems (IJMLIS) is a scholarly publication dedicated to advancing research in the dynamic fields of machine learning and intelligent systems. Published triannually in January, May, and September by the iDNNS association, the journal provides a consistent and timely forum for researchers, academics, and practitioners to disseminate their latest findings. As a publication managed by iDNNS, IJMLIS aims to foster a collaborative community, focusing on high-quality, peer-reviewed content that explores both theoretical developments and practical applications within these rapidly evolving technological domains.

Published: 2026-01-31

Original Research Articles

Optimizing Random Forest using Genetic Algorithm for static Android malware detection

Youssef Zaz, Muhammad Taufiq, Barroon Isma'eel Ahmad

1-7
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Improving spam detection techniques using machine learning algorithms

Abdullah Said Alkalbani, Iin Lesmana Putra, Dini Oktarina Dwi Handayani

8-13
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TrustEdgeAI: A Lightweight, Calibrated, and Secure Deep Learning Framework for Intrusion Detection in Edge-IoT Environments

S Karthika, Juliana K. Gnanaselvi, Sivakumar N. Sellappan, M Gokilavani, Hasan Koten

14-21
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Comparative study of NBC, SVM, and CNN performance in sentiment analysis of the millennial farmers program on platform X

Adamu Abu Bakar Ibrahim, Junaedi Rahmat, Deshinta Arrova Dewi

22-34
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Memory-Augmented AI for Autonomous UAV Search and Rescue: Deep Reinforcement Learning in Complex, Partially Observable Environments

Hina Javed, Hameed Affifa, Imran Ahmad Khan

35-46
- PDF

Vol. 1 No. 1 (2026)

Original Research Articles

Optimizing Random Forest using Genetic Algorithm for static Android malware detection

Improving spam detection techniques using machine learning algorithms

TrustEdgeAI: A Lightweight, Calibrated, and Secure Deep Learning Framework for Intrusion Detection in Edge-IoT Environments

Comparative study of NBC, SVM, and CNN performance in sentiment analysis of the millennial farmers program on platform X

Memory-Augmented AI for Autonomous UAV Search and Rescue: Deep Reinforcement Learning in Complex, Partially Observable Environments

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