Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi
Stefany Maurin
Universitas Padjadjaran
Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Identification and Modelling Tuberculosis Incidence Risk Factors in West Java with Negative Binomial Mixed Model Random Forest Restu Arisanti; Resa Septiani Pontoh; Sri Winarni; Nisa Akbarilah Putri; Stefany Maurin
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.29750

Abstract

Tuberculosis (TB) is a major health problem in many parts of the world, including in West Java Province, Indonesia. Accurate assessment of TB risk factors can improve overall TB control efforts. This study introduces modelling by integrating Negative Binomial Mixed Models (NBMM) and Random Forest (RF) called the Negative Binomial Mixed Model Random Forest (NBMMRF) model. This model is used to identify and assess risk factors associated with the incidence of tuberculosis. Firstly, using NBMM to add fixed effects and random effects in the model and compensate for overdispersion. Afterwards, we included a Random Forest component in the model, which helped us detect relevant predictive features and change model weights accordingly. The resulting Negative Binomial Mixed Model Random Forest has a high accuracy value of up to 0.915. After obtaining the appropriate model, forecasting of tuberculosis cases in 2024 was carried out and the forecasting result was 1904 cases, which increased from the number of cases in the previous year. The results of this study show the importance of various related parties to continue to be vigilant, pay attention to various related risk factors, and continue to make various efforts to study, prevent, and control Tuberculosis disease effectively.
Co-Authors Nisa Akbarilah Putri Resa Septiani Pontoh Restu Arisanti Sri Winarni