Focus & Scope

Jurnal Kecerdasan Buatan dan Pembelajaran Mesin (JKBPM) is an international, peer-reviewed, and open-access journal that publishes high-quality research papers, review articles, and case studies in the fields of Artificial Intelligence and Machine Learning. The journal aims to foster scientific advancement by providing a platform for scholars and professionals to disseminate innovative ideas, computational methods, and empirical findings.

Publisher Penerbit Goodwood

Frequency Published periodically

Language English

Subject Areas

Artificial Intelligence Machine Learning Deep Learning Natural Language Processing Computer Vision Data Science Big Data Analytics

Indexing & Metrics

Current Issue

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Author Guidelines

Before submitting your manuscript, please ensure it meets the journal's formatting requirements. Below is a summary of the key specifications.

Formatting Requirements

Paper size: A4

Font: Times New Roman, 11pt

Spacing: Single

Margins: 2.5 cm (all sides)

Language: English

Reference style: APA 6th

Required Manuscript Sections

Title

Abstract & Keywords

Introduction

Literature Review

Research Methods

Results & Discussion

Conclusion

Limitation & Suggestions

Acknowledgment

References

Full Author Hub Manuscript Template

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Jurnal Kecerdasan Buatan dan Pembelajaran Mesin

Published by Goodwood Publishing, the Jurnal Kecerdasan Buatan dan Pembelajaran Mesin is a peer-reviewed and open-access scholarly journal dedicated to publishing high-quality research articles, review papers, case studies, and technical contributions in the fields of Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and Intelligent Systems. The journal serves as a platform for researchers, academics, industry professionals, and practitioners to disseminate innovative findings, computational models, and theoretical advancements that support the evolution of intelligent technologies.

The scope of JAIML includes, but is not limited to: Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, Intelligent Systems, Big Data Analytics, Predictive Modelling, and applied AI solutions across sectors such as healthcare, finance, education, business, engineering, and smart technologies.

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