About the Journal

		Journal title	Journal of Data Science and Scientific Modeling
		Abbreviation	JDSSM
		Frequency	2 issues per year (June and December)
		DOI	doi.org/10.71094/jdssm
		Online ISSN	XXXX-XXXX
		Language	English, Indonesia
		Publisher	Yayasan Muswa Cendekia Indonesia
		Citation Analysis	Google Scholar. Dimension, Garuda, Crossref

Journal of Data Science and Scientific Modeling (JDSSM) is a peer-reviewed scholarly journal dedicated to advancing theoretical, methodological, and applied research in data science, computational analytics, statistical modeling, and scientific simulation. The journal provides an interdisciplinary platform for researchers, academics, practitioners, and policymakers to disseminate innovative findings that contribute to data-driven knowledge creation and evidence-based decision-making across diverse scientific domains.

The journal welcomes original research articles, review papers, methodological studies, case studies, and short communications that explore emerging developments in data mining, machine learning, artificial intelligence, predictive analytics, statistical inference, mathematical modeling, computational science, big data analytics, digital transformation, and data-driven optimization. Particular emphasis is placed on the integration of advanced analytical techniques with scientific modeling approaches to address complex real-world challenges in natural sciences, engineering, health sciences, social sciences, economics, environmental studies, and interdisciplinary research.