About the Journal

		Journal title	:	Journal of Mathematics and Applied Analytics
		Initials	:	Mathpedia
		Abbreviation	:	MathPedia J. Math. Appl. Anal.
		Frequency	:	January, April, July, October
		DOI	:	https://doi.org/10.55681/aspirasidigital by Crossref
		Online ISSN	:	xxxx-xxxx
		Editor-in-Chief	:	Ahmad Hadi Pranoto, S.Pd.,M.Pd.
		Publisher	:	LPPM Institut Pendidikan Nusantara Global
		Citation Analysis	:	[Sinta] [Google Scholar]

MathPedia: Journal of Mathematics and Applied Analytics is a peer-reviewed, open-access international journal dedicated to publishing pioneering research at the vanguard of pure mathematics, applied mathematical modeling, and advanced data analytics. Positioned at the convergence of classical mathematical theory, computational systems, and predictive sciences, the journal serves as an authoritative scholarly forum for mathematicians, statisticians, operations researchers, and data engineers worldwide. MathPedia prioritizes macro-level theoretical conceptualizations, rigorous algorithmic validations, and innovative quantitative frameworks that leverage mathematical logic to solve complex structural, industrial, and societal challenges. By bridging abstract theorem proofs with real-world empirical analytics, the journal fosters a deep, comprehensive understanding of numerical behavior, optimization paradigms, and stochastic systems.

Scope and Topics

The journal welcomes high-quality original research articles, critical reviews, and conceptual papers that offer significant contributions to the following thematic areas:

• Pure Mathematics & Structural Theories: Advanced algebra, mathematical analysis, topology, differential geometry, number theory, and foundational mathematical logic.

• Applied Mathematics & Mathematical Modeling: Differential equations, dynamical systems, computational fluid dynamics, mathematical biology, and numerical analysis models.

• Applied Analytics, Statistics & Probability: Stochastic processes, Bayesian inference, high-dimensional data analysis, time-series forecasting, and computational statistics.

• Optimization & Operations Research: Linear and non-linear programming, game theory, network optimization, supply chain analytics, and algorithmic decision systems.

• Computational Mathematics & Data Science: Machine learning mathematics, cryptography, topological data analysis (TDA), financial mathematics, and algorithmic complexity studies.

Publication Frequency

To ensure rigorous editorial oversight, thorough peer review, and timely dissemination of cutting-edge mathematical breakthroughs, MathPedia is published semi-annually (2 issues per year, typically scheduled for release in June and December). Special thematic issues focusing on emerging paradigms in computational analytics or specific industrial math challenges may be commissioned by the Editorial Board.

Peer Review Process

MathPedia enforces a strict double-blind peer review policy to maintain the highest standards of logical validity and academic integrity.

1. Initial Desk Evaluation: Every submission undergoes a preliminary screening by the Editor-in-Chief or a relevant Subject Editor to assess thematic alignment, mathematical soundness, and structural compliance. Plagiarism screening via Turnitin/iThenticate is executed at this stage, requiring a similarity index below the journal's maximum threshold.

2. Expert Peer Review: Manuscripts passing the desk evaluation are anonymized and assigned to at least two independent international reviewers who are established experts in the specific mathematical or statistical domain.

3. Editorial Decision: Based on the reviewers' recommendations, the Editorial Board renders one of four decisions: Acceptance, Revisions Required (Minor/Major), Resubmit for Review, or Rejection. The final decision rests entirely on the intellectual merit, logical rigor, and reproducibility of the analytical proofs.

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Mission Statement: "The mission of MathPedia is to deconstruct abstract quantitative complexities and catalyze rigorous analytical innovation within an increasingly data-driven global ecosystem. Grounded in the philosophy that exact mathematical principles and robust analytics are the ultimate anchors for technological optimization, structural safety, and industrial longevity, the journal aims to democratize advanced mathematical knowledge by providing an unrestricted, high-impact platform for global scholarly dialogue. Through the promotion of diverse and robust methodological approaches—encompassing rigorous theorem derivation, algorithmic synthesis, and quantitative simulations—MathPedia seeks to empower academic theorists, inspire digital developers, and shape future-proof predictive frameworks worldwide."