Jambura Journal of Biomathematics (JJBM)

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ABOUT THE JOURNAL The Jambura Journal of Biomathematics (JJBM) is a premier, peer-reviewed academic journal published by the Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Gorontalo, Indonesia. Established with the vision of becoming a leading scientific publication in Southeast Asia, JJBM serves as a vital platform for researchers, academicians, and practitioners to share original research articles and comprehensive review papers. The journal is deeply committed to exploring and explaining complex biological phenomena through rigorous mathematical approaches, serving as a critical bridge between theoretical mathematics and the life sciences. Read More JOURNAL IDENTITY Editor-in-Chief : Dr. Hasan S. Panigoro, M.Si. Journal Name : Jambura Journal of Biomathematics Abbreviation : Jambura J. Biomath. E-ISSN : 2723-0317 Frequency : Quarterly, 4 issues per year (March, June, September, and December) Review Process : Single Blind Review Language : English DOI prefix : https://doi.org/10.37905/jjbm Indexing : SCOPUS (International), SINTA-1 (Indonesian Accreditation) Publisher : Department of Mathematics, Universitas Negeri Gorontalo License : CC-BY-NC JOURNAL SCOPES Jambura Journal of Biomathematics covers a broad spectrum of topics at the intersection of mathematics, computation, and applied research. We invite submissions in areas such as: 1. Population and Evolutionary Dynamics This scope focuses on mathematical models—such as differential equations and stochastic processes—to understand how biological populations fluctuate over time and space, and how evolutionary forces like mutation, genetic drift, and natural selection shape species diversity and adaptive traits across generations. 2. Epidemiology and Infectious Disease Modeling This area involves the use of quantitative compartmental models (e.g., SIR, SEIR) and network-based approaches to analyze the transmission dynamics of human, animal, and plant pathogens, ultimately helping to predict disease outbreaks, calculate reproduction numbers, and evaluate the effectiveness of public health interventions like vaccines and quarantines. 3. Systems Biology and Computational Bioinformatics This scope centers on the holistic mathematical modeling of complex biological systems—such as gene regulatory networks and intracellular signaling cascades—alongside the development of novel computational algorithms to analyze large-scale multi-omics data and decode intricate molecular mechanisms. 4. Synthetic Biology and Bioengineering Innovations Research in this category applies mathematical rigor and control theory to the design, construction, and optimization of artificial biological pathways, genetic circuits, and cellular factories, ensuring their robust and predictable behavior for next-generation bioengineering technologies. 5. Advanced Biostatistical Analysis This area is dedicated to the development and application of sophisticated statistical methods, probabilistic models, Bayesian inference, and machine learning algorithms specifically tailored to handle complex, high-dimensional life science datasets and rigorously validate mathematical models against empirical biological evidence. 6. Sustainable Industrial Utilization of Renewable Resources This scope bridges biomathematics with bioeconomic applications by employing mathematical models to design optimal, sustainable harvesting and bioprocessing strategies in agriculture, forestry, and fisheries, ensuring that resource extraction maximizes economic yield without crossing critical ecological thresholds. 7. Biomathematics in Economic Policy and Conservation Exploring the intersection of mathematical biology, economics, and environmental policy, this area utilizes bioeconomic models and game theory to evaluate the economic impacts of biodiversity loss, assign value to ecosystem services, and optimize the allocation of limited funds for effective conservation strategies. 8. Mathematical Foundations in Medical and Clinical Sciences This scope applies mathematics to human physiology, pathology, and clinical treatments, encompassing areas like oncology modeling, cardiovascular dynamics, and pharmacokinetics/pharmacodynamics (PK/PD) to assist in personalized medicine, clinical trial design, and the diagnosis of complex diseases. 9. Optimization and Optimal Control Theory in Biological Systems Submissions in this category use advanced optimization algorithms and optimal control theory (e.g., Pontryagin's Maximum Principle) to identify the most mathematically effective interventions in biology and medicine, such as optimal scheduling for multi-drug cancer therapies or optimal time-dependent harvesting policies. 10. High-Performance Computational Methods for Life Science Models This area focuses on developing and implementing advanced numerical methods, finite element analyses, and fast stochastic simulation algorithms that leverage parallel and high-performance computing (HPC) architectures to overcome the computational bottlenecks of large-scale biomathematical simulations. 11. Ecological Systems and Environmental Modeling This scope utilizes mathematical models, frequently employing differential equations, to study the complex interactions between organisms and their abiotic environments, analyzing phenomena such as food web dynamics, spatial pattern formation, traveling waves of invasive species, and the resilience of ecological networks against climate change.