About the Journal
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.
JKBPM covers a broad range of topics including—but not limited to—machine learning algorithms, neural networks, natural language processing, expert systems, intelligent robotics, deep learning applications, computer vision, big data analytics, predictive modelling, and industrial AI implementations.
The journal is committed to promoting academic integrity, rigorous review standards, and impactful research contributions. With a focus on addressing real-world challenges through intelligent systems, JKBPM strives to bridge the gap between theoretical research and practical applications across various domains such as healthcare, finance, engineering, education, and industry.
Journal Information
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ISSN (Electronic): XXXX-XXXX
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Publication Frequency: -
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Issue Schedule: -
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Mode of Publication: Online
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Language of Publication: English
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Submission Email: admin@penerbitgoodwood.com
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Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Big Data Analytics, Predictive Modelling
Publication Frequency
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Language Policy
Jurnal Kecerdasan Buatan dan Pembelajaran Mesin (JKBPM) requires that all manuscripts be written in English. Authors are encouraged to use clear, concise, and academically appropriate language, with proper grammar and spelling to ensure clarity and international readability.
Types of Published Articles
Jurnal Kecerdasan Buatan dan Pembelajaran Mesin (JKBPM) publishes peer-reviewed scholarly manuscripts that contribute significantly to the literature and professional practice in Artificial Intelligence and Machine Learning. The journal accepts the following types of submissions:
1. Research Articles
Research articles present original theoretical or empirical studies demonstrating methodological rigor, analytical depth, and clear contributions to academic literature and/or professional practice. Submissions employing quantitative, qualitative, mixed-methods, or replication approaches are welcomed.
2. Review Articles
Review articles provide a systematic and critical synthesis of existing literature on topics relevant to the journal’s scope. These articles should identify conceptual, methodological, or empirical gaps and offer clear directions for future research.
All published articles must comply with ethical research and publication standards and are subject to a double-blind peer-review process.
Publisher
Jurnal Kecerdasan Buatan dan Pembelajaran Mesin (JKBPM) is published by Penerbit Goodwood, an Indonesian academic publisher committed to disseminating high-quality and impactful scholarly research to the global academic community.
Plagiarism Screening
All submitted manuscripts are screened for plagiarism using professional plagiarism detection software to ensure originality and compliance with academic integrity standards. The software that can be use for screening plagiarism are
