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Department of Mathematics, Faculty of Mathematics and Natural Science, Universitas Negeri Gorontalo Jl. Prof. Dr. Ing. B. J. Habibie, Moutong, Tilongkabila, Kabupaten Bone Bolango 96119, Gorontalo, Indonesia
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Jambura Journal of Biomathematics (JJBM)
Published by Universitas Negeri Gorontalo
ISSN : -     EISSN : 27230317     DOI : https://doi.org/10.34312/jjbm.v1i1
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics
Jambura Journal of Biomathematics (JJBM) aims to become the leading journal in Southeast Asia in presenting original research articles and review papers about a mathematical approach to explain biological phenomena. JJBM will accept high-quality article utilizing mathematical analysis to gain biological understanding in the fields of, but not restricted to Ecology Oncology Neurobiology Cell biology Biostatistics Bioinformatics Bio-engineering Infectious diseases Renewable biological resource Genetics and population genetics
Arjuna Subject : Matematika - Matematika Terapan
Articles 12 Documents
 1   2 
Search results for , issue "Volume 6, Issue 4: December 2025" : 12 Documents clear
Geographically Weighted Poisson Regression Modeling Using Adaptive Gaussian Kernel Weighting For Mapping Maternal Mortality Rates In East Java Ngoro, Inayati; Pramoedyo, Henny; Astuti, Ani Budi
Jambura Journal of Biomathematics (JJBM) Volume 6, Issue 4: December 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjbm.v6i4.30411

Abstract

Maternal Mortality Rate (MMR) is a key public health indicator that reflects spatial variation across districts in East Java.  This study aims to model the spatial distribution of MMR using Geographically Weighted Poisson Regression (GWPR) with an Adaptive Gaussian Kernel weighting function. Secondary data were obtained from the 2022 East Java Provincial Health Profile, covering 38 districts and municipalities. The results indicate that GWPR outperforms the classical Poisson regression. The intercept β=2.889 (exp=17.95) suggests an average of 18 maternal deaths in the absence of predictor effects. The coverage of the fourth antenatal care visit (K4) has a significant negative effect ( β=-0.027; exp = 0.973), indicating that a 1% increase in K4 coverage reduces MMR by approximately 2.7%. Conversely, obstetric complications managed by midwives show a significant positive effect (β= = 0.0173; exp = 1.017), meaning that a 1% increase in complications raises MMR by 1.7%. Other predictorsfirst antenatal care visit (K1), ironfolic acid (IFA) supplementation, and number of health workersare not statistically significant. This study underscores the importance of expanding K4 coverage and strengthening complication management as priority strategies to reduce maternal mortality.  Furthermore, GWPR-based mapping enables more targeted maternal health interventions tailored to local characteristics.
Mathematical Modeling of Teenage Pregnancy Focused on Awareness and Behavioral Change Apdo, Rachel Basanez; Apdo, Rolly Najial; Gumombal, Iranly Tavera
Jambura Journal of Biomathematics (JJBM) Volume 6, Issue 4: December 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjbm.v6i4.31415

Abstract

Teenage pregnancy remains a significant public health concern, particularly in the Philippines.   This study extends a previous SIT model by introducing a behavioral relapse pathway (Ω) that represents the rate at which informed adolescents revert to risky sexual behavior.   The model divides the population into susceptible, corrupted, and aware compartments, incorporating contraceptive use and sex education.   Analytical results show that the corruption-free equilibrium is locally asymptotically stable when R0       1,  while  corruption persists when R0     1.  Numerical simulations reveal that increasing Ω from 0.01 to 0.2 raises the long-term corrupted population fraction from approximately 8% to more than 25% with transient peaks up to 22%, even with high awareness levels. A local sensitivity analysis further reveals that the recruitment rate (ω), voluntary cessation rate (π), and natural death rate (µ) exert the greatest influence on long-term outcomes. These findings highlight that sustained awareness campaigns must be coupled with strategies that minimize relapse into risky behavior, such as continuous sex education, peer mentorship, and counter-misinformation initiatives.

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