About the Journal

BIMA

Bulletin of Intelligent Machines and Algorithms

International Peer-Reviewed Journal in Artificial Intelligence, Machine Learning and Algorithms

Journal Identity

Title	BIMA (Bulletin of Intelligent Machines and Algorithms)
E-ISSN	3123-5115
Frequency	Bimonthly (Jan, Mar, May, Jul, Sep, Nov)
Publisher	Maheswari Publisher – Bandung, Indonesia
Website	www.cendikiainovasi.org/BIMA/index.php/AI
Editor in Chief	Assoc. Prof. Dr. Nur Alamsyah, S.T., M.Kom.
License	Creative Commons Attribution 4.0

In Collaboration

Supported by academic collaboration to strengthen global research dissemination.

About the Journal

BIMA (Bulletin of Intelligent Machines and Algorithms) is an international peer-reviewed journal dedicated to promoting research in the fields of artificial intelligence, machine learning, and algorithms. BIMA serves as a platform for publishing the latest research findings and innovative applications in these rapidly evolving fields. The journal aims to contribute to the academic and professional development of researchers, practitioners, and educators by publishing high-quality articles that provide in-depth insights into the theoretical, practical, and computational aspects of intelligent systems and algorithms.

Focus and Scope

Artificial Intelligence
Machine Learning
Deep Learning
Computer Vision
Data Mining
Optimization Algorithms
Computational Intelligence
Natural Language Processing
Robotics and Autonomous Systems
AI Applications in Industry and Healthcare

Publication Frequency

BIMA is published bimonthly, in January, March, May, July, September, and November. Each issue contains peer-reviewed articles reflecting the latest developments in intelligent machines and algorithms.

Editorial Mission

BIMA provides a forum for academic exchange and promotes deeper understanding of principles and practices in intelligent systems and algorithms. Emphasizing interdisciplinary research, the journal bridges theoretical knowledge with real-world applications.

Peer Review & Open Access

BIMA follows a rigorous double-blind peer review process. All articles are open access, freely available worldwide, supporting global knowledge dissemination.