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.