Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Literatus ARSY : Jurnal Aplikasi Riset kepada Masyarakat Journal of Counseling and Educational Research
Sundari, Marta
Unknown Affiliation
Humanities Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Literatus

 1 
Pemodelan Kasus Demam Berdarah Dengue di Jawa Barat Menggunakan Regresi Gaussian, Poisson, dan Compound Poisson Tweedie Sundari, Marta; Sativa, Oryza
LITERATUS Vol 6 No 2 (2024): Jurnal Ilmiah Internasional Sosial Budaya
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/lit.v6i2.2122

Abstract

Dengue Hemorrhagic Fever (DHF) is an infectious disease that remains a serious public health problem in Indonesia, particularly in West Java Province. This study aims to model the number of DHF cases using Gaussian, Poisson, and Compound Poisson Tweedie regression methods based on 2023 data sourced from the West Java Central Statistics Agency (BPS) and the West Java Provincial Health Office. Predictor variables used include humidity, rainfall, real per capita expenditure, poverty ratio, population density, percentage of households with clean and healthy lifestyles, ratio of health facilities, and average altitude of the area above sea level. The analysis results indicate that Gaussian and Poisson regression are less suitable for use because they are unable to handle overdispersion in the data. The Compound Poisson Tweedie model provides the best performance with the smallest Akaike Information Criterion (AIC) value. Three variables that significantly influence the number of DHF cases in West Java in 2023 are rainfall, real expenditure per capitaand the ratio of health facilities, so that the resulting model equation is  (2.233 plus 0.001387 times rainfall plus 0.000022 times real per capita expenditure minus 0.015250 times health facility ratio), indicating that rainfall and expenditure increase DHF cases, while more health facilities reduce them.
Pemodelan Kasus Demam Berdarah Dengue Di Jawa Barat Menggunakan Regresi Gaussian, Poisson, dan Negatif Binomial Sundari, Marta; Sativa, Oryza
LITERATUS Vol 7 No 1 (2025): International Socio-Cultural Scientific Journal
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/lit.v7i1.2125

Abstract

Dengue Hemorrhagic Fever (DHF) remains a major health problem in West Java Province, which has a tropical climate and dense population. This study aims to model DHF cases using Gaussian, Poisson, and Negative Binomial regression. The data used include the number of DHF cases in 2024 as the response variable and eight predictor variables, namely humidity, amount of rainfall, real expenditure per capita, poverty ratio, population density, percentage of households with clean and healthy lifestyles, ratio of health facilities, and average height of the area above sea level (ASL) according to rainfall stations. Data were obtained from the Central Statistics Agency (BPS) and the West Java Provincial Health Office. The analysis results showed that Poisson and Gaussian regression were less suitable because they were unable to handle overdispersion in the data. The Negative Binomial model provided the best results with the smallest AIC value. Two variables that significantly influenced the number of dengue cases were population density (variable 5) and the ratio of health facilities (variable 7)  
Co-Authors Ayu Megawati Lin Suciani Agusti Octaviani, Anggun Oryza Sativa Retna Ningsih