Lestari, Rida Dwi (2014) Pemodelan Faktor-Faktor Yang Mempengaruhi Jumlah Kasus Penyakit Tuberkulosis Di Jawa Timur Dengan Pendekatan Generalized Poisson Regression (GPR) Dan Geographically Weighted Poisson Regression (GWPR). Other thesis, Insititut Teknologi Sepuluh Nopember.
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Abstract
Tuberkulosis merupakan salah satu penyakit saluran pernafasan bawah dan menular yang disebabkan oleh kuman Mycrobacterium Tuberculosis. Provinsi Jawa Timur menduduki peringkat terbanyak kedua jumlah kasus penyakit tuberkulosis di Indonesia. Dalam penelitian ini dilakukan pemodelan faktor-faktor yang mempengaruhi jumlah kasus penyakit tuberkulosis di Jawa Timur dengan pendekatan Generalized Poisson Regression (GPR) dan Geographically Weighted Poisson Regressions (GWPR). Pemodelan menggunakan regresi poisson diperoleh hasil bahwa terjadi kasus over dispersi, sehingga digunakan metode GPR untuk mengatasinya. GWPR merupakan pengembangan dari regresi poisson dengan memperhatikan faktor spasial. Hasil pemodelan menunjukkan bahwa dengan metode GWPR, variabel yang berpengaruh signifikan terhadap jumlah kasus penyakit tuberkulosis di seluruh kabupaten/kota di Jawa Timur adalah persentase penduduk usia produktif, persentase tenaga kesehatan terdidik tuberkulosis, dan persentase tempat umum dan pengelolaan makanan (TUPM ) sehat. Sedangkan metode GPR memberikan hasil bahwa persentase penduduk usia produktif, dan TUPM sehat yang berpengaruh signifikan terhadap jumlah kasus penyakit tuberkulosis di Jawa Timur.
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Tuberculosis is one of infectious lower tract respiratory disease caused by Mycrobacterium Tuberculosis bacteria. East Java ranked second for the most Tuberculosis cases in Indonesia. Within this research, we do the modeling of the factors that affect the numbers of tuberculosis cases in East Java with Generalized Poisson Regression (GPR) and Geographically Weighted Poisson Regressions (GWPR) approach. Poisson Regression modeling, show us that there are over dispersion cases, Hence the GPR method is being used in response to this. GWPR is the development of poisson regression noticing the spatial factor. Modeling result show that by using GWPR method, variables that significantly affect the total numbers of tuberculosis cases across East Java are the percentage of citizen’s productive age, percentage of tuberculosis aware health employers, and percentage of healthy public spaces and food services. While GPR method result show that the percentage of citizen’s productive age and percentage of healthy public spaces and food services significantly affect the total numbers of tuberculosis cases in East Java.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSt 519.536 Les p-1, 2014 |
| Uncontrolled Keywords: | GPR, GWPR, Regresi Poisson, Tuberkulosis, Poisson Regression, Tuberculosis |
| Subjects: | Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 03 Jan 2024 06:53 |
| Last Modified: | 03 Jan 2024 06:53 |
| URI: | http://repository.its.ac.id/id/eprint/105349 |
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