Mulyaputri, Rifna Fadhilah (2024) Pemodelan Faktor-Faktor yang Memengaruhi Jumlah Suspek Campak di Provinsi Jawa Timur dengan Geographically Weighted Poisson Inverse Gaussian Regression. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sebagai penyakit yang dikategorikan sebagai Kejadian Luar Biasa (KLB), campak menjadi isu kesehatan masyarakat yang memerlukan strategi pengendalian efektif. Pada tahun 2022 di Provinsi Jawa Timur, banyak suspek dan kasus campak ditemukan, terutama pada balita dan anak-anak. Meskipun cakupan vaksin di Jawa Timur telah mencapai 95,3%, kasus campak masih meningkat dan dapat menimbulkan komplikasi serius jika tidak segera ditangani. Sebanyak 2.323 suspek campak ditemukan, meningkat 2.100 kasus dari tahun sebelumnya. Penelitian ini bertujuan untuk mengetahui karakteristik dan faktor-faktor yang memengaruhi jumlah suspek campak di Kabupaten/Kota Provinsi Jawa Timur. Mengingat data jumlah suspek campak adalah data count yang mengalami overdispersi, pendekatan Poisson Inverse Gaussian Regression (PIGR) digunakan. Selain itu, efek spasial akan diperhatikan dengan menggunakan pembobot spasial dalam Geographically Weighted Poisson Inverse Gaussian Regression (GWPIGR). Hasil analisis menunjukkan hubungan antara suspek campak dengan faktor-faktor yang diduga memengaruhinya beragam, mulai dari berkorelasi lemah hingga sedang. Hasil dari pemodelan GWPIGR membentuk 6 kelompok Kabupaten/Kota dengan variabel signifikan yang sama, dengan variabel yang mendominasi signifikan adalah Persentase Sarana Air Minum (SAM) yang diawasi/diperiksa sesuai standar.
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As a disease classified as an Outbreak (KLB), measles poses a significant public health issue requiring effective control strategies. In 2022, numerous suspected and confirmed measles cases were reported in the Province of Jawa Timur. Despite the measles vaccination coverage in Jawa Timur reaching 95.3%, the incidence of measles continues to rise and can lead to serious complications. A total of 2,323 suspected measles cases were identified, an increase of 2,100 cases from the previous year. This study aims to explore the characteristics and factors influencing the number of suspected measles cases in each cities of Jawa Timur. Given that the data on the number of suspected measles cases are count data experiencing overdispersion, the Poisson Inverse Gaussian Regression (PIGR) approach is appropriate. Additionally, spatial effects are considered using spatial weights in the Geographically-Weighted Poisson Inverse Gaussian Regression (GWPIGR). The analysis indicates that the relationship between suspected measles cases and the suspected influencing factors ranges from weak to moderate correlation. The results of the GWPIGR modeling formed six groups of regencies/cities with the same significant variables, with the most dominant significant variable being the percentage of drinking water facilities (SAM) that are monitored/inspected according to standards.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Campak, Geographically Weighted Poisson Inverse Gaussian, Overdispersi, Spasial, Geographically Weighted Poisson Inverse Gaussian, Measles, Overdispersion, Spatial |
| Subjects: | H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics H Social Sciences > HA Statistics > HA30.6 Spatial analysis H Social Sciences > HA Statistics > HA31.3 Regression. Correlation H Social Sciences > HA Statistics > HA31.7 Estimation |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Rifna Fadhilah Mulyaputri |
| Date Deposited: | 08 Aug 2024 07:36 |
| Last Modified: | 08 Aug 2024 07:36 |
| URI: | http://repository.its.ac.id/id/eprint/114923 |
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