Penerapan Regresi Poisson Generalized Poisson Regression Dalam Memodelkan Kasus Angka Kematian Ibu Di Sumatera Barat Tahun 2015

Ramadhani, Nadiah; Yanuar, Ferra; Yozza, Hazmira

doi:10.25077/jmu.7.2.112-117.2018

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…The best regression model is the regression model that has the smallest AIC value. The AIC value can be denoted as follows (Ramadhani et al, 2018):…”

Section: Best Modelmentioning

confidence: 99%

Analysis of Risk Factors for Dengue Hemorrhagic Fever in Riau Province using Negative Binomial Regression

Rangkuti,

Sirait

2023

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Dengue Hemorrhagic Fever (DHF) is a serious threat in Riau province, Indonesia. To better understand and control the spread of dengue fever, this research aims to analyze the factors that cause dengue fever. This study aims to identify significant risk factors that influence the spread of dengue fever in Riau Province. The Negative Binomial Regression Method was used to identify factors associated with the increase in dengue fever cases in Riau. The variables evaluated include population density of the Aedes aegypti vector , level of environmental cleanliness, prevention practices, and socio-economic factors. In addition, the best model was selected to overcome overdispersion in the data. The results of the analysis show that factors such as population density of the Aedes aegypti vector , environmental cleanliness, and the level of public understanding about dengue prevention practices have a significant influence on the spread of dengue fever in Riau. The best model used to overcome overdispersion in the 2021 dengue fever case data in Riau is Negative Binomial Regression. This research provides a deeper understanding of the factors causing dengue fever in Riau and selects an appropriate statistical model for analyzing data that experiences overdispersion. Negative Binomial Regression proved to be more appropriate in overcoming the problem of overdispersion in the data. These results can be used as a basis for designing more effective dengue prevention and control strategies and provide guidance for more targeted interventions in fighting dengue fever in this region.

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“…The best regression model is the regression model that has the smallest AIC value. The AIC value can be denoted as follows (Ramadhani et al, 2018):…”

Section: Best Modelmentioning

confidence: 99%

Analysis of Risk Factors for Dengue Hemorrhagic Fever in Riau Province using Negative Binomial Regression

Rangkuti,

Sirait

2023

Orics

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“…Model regresi terbaik adalah model regresi yang memiliki nilai AIC terkecil. Nilai AIC dapat dinotasikan sebagai berikut (Ramadhani et al 2018):…”

Section: F Menentukan Model Terbaikunclassified

Analisis Faktor-Faktor Yang Mempengaruhi Stunting Pada Balita Di Kota Gorontalo Menggunakan Regresi Binomial Negatif

Zubedi

Aliu

Rahim

et al. 2021

Jambura J. Probab. Stat.

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This study aims to model stunting cases in children under five in Gorontalo city in 2018. In this model, it can be seen that the significant factors that affect stunting cases in children under five in Gorontalo city in 2018. This study uses data on stunting cases in 9 (nine) districts in the city of Gorontalo and the factors that influence it. The research data were obtained from the Public Health in Gorontalo city. This study used one response variable, namely the number of cases of stunting and four predictor variables, namely number of toddlers who received exclusive breastfeeding, the percentage of low birth weight (LBW), the percentage toddlers who received complete basic immunization, and number of proper sanitation. The results obtained were the variables of number of toddlers who received exclusive breastfeeding and the percentage toddlers who received complete basic immunization which had a significant effect on stunting cases in children under five in the city of Gorontalo in 2018. This was indicated by the P-value of the variable for number of toddlers who received exclusive breastfeeding of 0.00283 and P-value of variable the percentage toddlers who get complete basic immunization is 0.06564.

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“…Pengujian distribusi Poisson dengan menggunakan uji Kolmogorov-Smirnov. Uji Kolmogorov-Smirnov adalah suatu uji kebaikan model yang menguji tingkat kesesuaian antara distribusi serangkaian nilai sampel (skor yang diobservasi) dengan suatu distribusi teoritis tertentu [6]. Hasil dari pengujian distribusi Poisson dapat dilihat pada Tabel 2.…”

Section: Pengujian Distribusi Poisson Pada Data Variabel Responunclassified

Pemodelan Jumlah Kematian Bayi Di Kota Bandung Dengan Menggunakan Regresi Zero-Inflated Poisson

PUTRI¹,

Devianto²,

Yanuar³

2021

Jurnal Matematika UNAND

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Kematian bayi merupakan salah satu indikator dalam menentukan tingkat kesehatan masyarakat. Salah satu upaya untuk mengurangi jumlah kematian bayi adalah dengan mengkaji faktor-faktor penyebabnya. Banyaknya kasus kematian bayi yang berupa data diskrit dan faktor-faktor yang mempengaruhinya dapat dimodelkan menggunakan regresi Poisson. Namun, dalam analisis regresi Poisson sering ditemukan kondisi overdispersi yakni nilai varians dari variabel respon lebih besar dari nilai mean. Overdispersi dapat terjadi karena terlalu banyaknya nilai nol (excess zeros) pada variabel respon. Model regresi Zero-Inflated Poisson merupakan salah satu metode yang dapat mengatasi masalah overdispersi. Pada penelitian ini, data kasus jumlah kematian bayi memiliki terlalu banyak nilai nol, sehingga regresi Zero-Inflated Poisson lebih tepat digunakan untuk memodelkan jumlah kematian bayi dan faktor-faktor yang mempengaruhinya di Kota Bandung Tahun 2019. Hasil analisis menunjukkan bahwa faktor-faktor yang berpengaruh secara signifikan terhadap kasus jumlah kematian bayi adalah persentase berat badan bayi lahir rendah (BBLR), persentase kunjungan neonatal selama 3× dan persentase bayi yang diberikan ASI eksklusif.Kata Kunci: Excess Zeros, Overdispersi, Regresi Poisson, Regresi Zero-Inflated Poisson

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Penerapan Regresi Poisson Generalized Poisson Regression Dalam Memodelkan Kasus Angka Kematian Ibu Di Sumatera Barat Tahun 2015

Cited by 4 publications

References 1 publication

Analysis of Risk Factors for Dengue Hemorrhagic Fever in Riau Province using Negative Binomial Regression

Analysis of Risk Factors for Dengue Hemorrhagic Fever in Riau Province using Negative Binomial Regression

Analisis Faktor-Faktor Yang Mempengaruhi Stunting Pada Balita Di Kota Gorontalo Menggunakan Regresi Binomial Negatif

Pemodelan Jumlah Kematian Bayi Di Kota Bandung Dengan Menggunakan Regresi Zero-Inflated Poisson

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