About the Journal

INTERNATIONAL PEER-REVIEWED JOURNAL

BIMA

Bulletin of Intelligent Machines and Algorithms

Advancing research and innovation in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Intelligent Systems, Optimization Algorithms, and Emerging Computational Technologies.

3123-5115

E-ISSN

6

Issues per Year

15+

Indexing Services

100%

Open Access

Journal Identity

Title	BIMA (Bulletin of Intelligent Machines and Algorithms)
E-ISSN	3123-5115
Publication Frequency	Bimonthly (January, March, May, July, September, November)
Publisher	Maheswari Publisher, Bandung, Indonesia
Editor in Chief	Assoc. Prof. Dr. Nur Alamsyah, S.T., M.Kom.
License	Creative Commons Attribution (CC BY 4.0)

About the Journal

BIMA (Bulletin of Intelligent Machines and Algorithms) is an international peer-reviewed journal dedicated to advancing knowledge and innovation in Artificial Intelligence, Machine Learning, Computational Intelligence, Data Science, and Algorithmic Research. The journal provides a scholarly platform for researchers, academics, and practitioners to disseminate high-quality theoretical and applied research that contributes to the development of intelligent systems and emerging computational technologies.

Focus and Scope

• Artificial Intelligence

• Machine Learning

• Deep Learning

• Computer Vision

• Data Mining

• Natural Language Processing

• Robotics & Autonomous Systems

• Optimization Algorithms

• Computational Intelligence

• AI Applications in Industry and Healthcare

Publication Information

BIMA is published bimonthly and applies a rigorous double-blind peer-review process. All published articles are immediately available under an open-access policy to ensure maximum dissemination and accessibility of scientific knowledge.

In Colaboration

Supported by academic collaboration to strengthen global research dissemination.

Indexing & Abstracting

Indexed and abstracted in major scholarly databases and discovery services including Google Scholar, GARUDA, Crossref, ORCID, Dimensions, Semantic Scholar, WorldCat, OpenAlex, Lens, BASE, Scilit, Index Copernicus, and other international platforms.