Jurnal Kecerdasan Buatan dan Pembelajaran Mesin
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JKBPM

Jurnal Kecerdasan Buatan dan Pembelajaran Mesin

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

Editorial Team

Editor in Chief

Chairani

Editor in Chief

Institut Informatika dan Bisnis Darmajaya, Indonesia

Associate Editor

Hadi Syaputra

Associate Editor

Universitas Sriwijaya, Indralaya, Indonesia

Suhadi

Associate Editor

STMIK Bani Saleh, Bekasi-Jawa Barat

Nono Heryana

Associate Editor

Universitas Singaperbangsa Karawang

Ahmad Fadhil Bukhori

Associate Editor

STIE Krakatau, Indonesia

Reviewer

Binti Solihah

Reviewer

Universitas Trisakti, Indonesia

Mei Ratnasari

Reviewer

STMIK Kalirejo, Indonesia

Elsina Novela Waroi

Reviewer

Universitas Satya Wiyata Mandala, Indonesia

Rooy Marthen Thaniket

Reviewer

Universitas Satya Wiyata Mandala, Indonesia

Musa Henri Janto Rahanra

Reviewer

Universitas Satya Wiyata Mandala, Indonesia

Dian Saputra

Reviewer

STMIK Kalirejo, Indonesia

Angger Sasmito

Reviewer

STMIK Kalirejo, Indonesia

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Reviewers

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Current Issue

Vol. 1 No. 1 (2026)

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

1
Title
2
Abstract & Keywords
3
Introduction
4
Literature Review
5
Research Methods
6
Results & Discussion
7
Conclusion
8
Limitation & Suggestions
9
Acknowledgment
10
References

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JAIML Journal Cover

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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