Main Article Content
Abstract- Measles is an infectious disease caused by measles virus and contagious. In recent years, especially in Indonesia, the number of measles rates have decreased at 2021 then some observations were worth zero. Hurdle Negative Binomial Regression is a method that used to overcome excess zero and over dispersion. Furthermore, count data is a data with non-negative integers that showed the number of event then it unable to use Poisson Regression. The aim of the study is to obtain measles model using HNBR in Eat Java. Based on the result of study, the factors that influence are vitamin A distribution, malnutrition in toddlers, and population density in East Java.
 Pontoh, Penerapan Hurdle Negative Binomial pada Data Tersensor, Yogyakarta: UNY, 2015.
 Afri, "Pemodelan Regresi Hurdle pada Kasus Penyakit Difteri," Jurnal Absis, 2019.
 C. M., Generalized Linier Models, London: Chapman and Hall, 1989.
 Wulandari, "Konsumsi Rokok Masyarakat Kota Bandung dengan Hurdle Negative Binomial," Jurnal Aplikasi Statistika dan Komputasi, 2017.
 S. E. Saffari, "Hurdle Negative Binomial Regression Model with Right Censored Count Data," Journal Statistic and Operation Research Transaction, pp. 181-194, 2012.
 A. Widarjono, Ekonometrika: Teori dan Aplikasi untuk Ekonomi d an Bisnis, Yogyakarta: Ekonisia Fakultas Ekonomi Universitas Islam Indonesia, 2007.
 Suparyanto, Tumbuh Kembang dan Imunisasi, Jakarta: EGC, 2014.
 A. Bilgic, "Application of a Hurdle Negative Binomial Count Data Model to Demand for Fishing in the Southeastern United States," Journal of Environmental Management, pp. 478-490, 2007.
 Famoye, "Modeling Household Fertility Dicision with Generalized Poisson Regression," Jurnal of Papulation Economics, pp. 273-283, 2004.
 Hilbe, Negative Binomial Regression, New York: Cambridge University Press, 2011.
 R. Julianda, "Penerapan Data Count dengan Menggunakan Regresi Hurdle Poisson," Jurnal Matematika, 2015.
 A. McDowell, "From The Help Desk: Hurdle Models," Stat Corporation, pp. 178-184, 2003.
 M. Pateta, Fitting Poisson Regression Models Using the Genmond Procedure, USA: SAS Institute Ins, 2005.
 Agresti, Categorical Data Analysis, New York: John Willey and Sons, 1990.