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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Indonesian Journal of Statistics and Its Applications International Journal of Computing Science and Applied Mathematics Tensor: Pure and Applied Mathematics Journal MOVE: Journal of Community Service and Engagement Jurnal Matematika Integratif
RUMLAWANG, FRANCIS YUNITO
MATHEMATIC DEPARTMENT FACULTY OF MATHEMATICS AND NATURAL SCIENCES UNIVERSITY OF PATTIMURA
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mathematics Mechanical Engineering Transportation Other

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Journal : Indonesian Journal of Statistics and Its Applications

 1 
PEMODELAN PENGARUH IKLIM TERHADAP ANGKA KEJADIAN DEMAM BERDARAH DI KOTA AMBON MENGGUNAKAN METODE REGRESI GENERALIZED POISSON Ferry Kondo Lembang; Eysye Alchi Nara; Francis Yunito Rumlawang; Mozart Winston Talakua
Indonesian Journal of Statistics and Applications Vol 3 No 3 (2019)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (752.46 KB) | DOI: 10.29244/ijsa.v3i3.474

Abstract

Dengue Hemorrhagic Fever (DHF) is one of the dreaded diseases of the transition season. DHF is a disease found in tropical and subtropical regions that caused by Dengue virus which is transmitted through Aedes mosquitoes. According to the World Health Organization (WHO) data, it is stated that Indonesia is the country with the highest dengue fever case in Southeast Asia. The incidence of dengue fever in Indonesia tends to increase in the middle of the rainy season, and one of the regions in Indonesia with the high level of rainfall intensity is Ambon City. DHF cases in Ambon city increase from year to year due to the last five years the intensity of rainfall is very high. Therefore, this study aims to identify climate factors that affect the incidence of DHF in Ambon City by using Generalized Poisson Regression method. Generalized Poisson Regression is appropriately considered to analyze the causing factors DHF incidence because the rating case of DHF is usually the count data that following the Poisson distribution. The results showed that the smallest AIC value for the Generalized Poisson Regression model was 75.842 with significant variables is DHF in the city of Ambon were one month earlier, air humidity, rainfall, and air humidity two months earlier.
Co-Authors Abraham Zakharia Wattimena Alva Grace Naraha Charlita Fhilya Citra Fathia Palembang Endro Risamasu Eysye Alchi Nara Fandy Sanudin Ferry Kondo Lembang H. W. M. Patty Henry W. M. Patty Jefri Esna Thomas Radjabaycolle Nanang Ondi Ondi, Nanang Patty, Dyana Rijoly, Monalisa E. Talakua, Mozart Winston Tomasouw, Berny Pebo Yopi Andry Lesnussa Zeth Arthur Leleury, Zeth Arthur