Yantianama, Yantianama (2022) Pemodelan faktor-faktor yang mempengaruhi penderita tuberkulosis di provinsi jawa timur dengan metode mixed geographically weighted regression. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Tuberkulosis adalah penyakit menular langsung yang disebabkan oleh kuman Mycobacterium Tuberculosis melalui udara. Penyakit tuberkulosis biasanya menyerang paru-paru, namun juga bisa berdampak pada bagian tubuh lainnya seperti pleura, kelenjar limfe, tulang, dan organ ekstra paru lainnya. Saat ini penyakit tuberkulosis di Jawa Timur menempati urutan kedua di Indonesia. Dalam penyelesaian kasus tersebut diperlukan pemodelan dengan efek spasial karena perlu memperhatikan kondisi geografis di Jawa Timur, yakni dengan metode MGWR. Rasio penderita tuberkulosis dengan rasio tertinggi yakni pada kota Madiun dan rasio terendah yakni pada kabupaten Mojokerto. Model GWR menghasilkan kesimpulan bahwa faktor tingkat kepadatan penduduk signifikan masuk ke dalam model di semua kabupaten/kota. Model MGWR menghasilkan kesimpulan bahwa variabel global berpengaruh masuk ke dalam model untuk setiap kabupaten/kota, sedangkan variabel lokal yang signifikan di beberapa kabupaten/kota adalah persentase keluarga miskin, persentase penduduk usia produktif 15-54 tahun, persentase rumah tangga berperilaku hidup bersih dan sehat, persentase penduduk dengan akses sanitasi layak dan tingkat kepadatan penduduk. Hasil pemodelan terbaik dengan metode MGWR terbentuk tujuh kelompok kabupaten/kota berdasarkan variabel yang berpengaruh signifikan terhadap rasio penderita tuberkulosis di semua kabupaten/kota Provinsi Jawa Timur. Kriteria AIC dan R2 menunjukkan bahwa metode GWR adalah metode yang sesuai untuk memodelkan rasio tuberkulosis di tiap kabupaten/kota Provinsi Jawa Timur, bila dibandingkan dengan MGWR karena memiliki AIC dan R2 yang optimum.
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Tuberculosis is a contagious disease caused by the bacteria Mycobacterium tuberculosis through the air. Tuberculosis usually attacks the lungs, but can also affect other parts of the body such as the pleura, lymph nodes, bones, and other extrapulmonary organs. Currently, tuberculosis in East Java ranks second in Indonesia. To address this, spatial effects modeling is needed by considering geographical conditions in East Java, using the MGWR method. The ratio of tuberculosis sufferers with the highest ratio is in Madiun city, and the lowest in Mojokerto regency. The GWR model concludes that a significant population density factor is included in the model for all districts/cities. The MGWR model concludes that influential global variables are included in the model for each district/city, while significant local variables in some districts/cities are the percentage of poor families, the percentage of the productive age population 15-54 years, the percentage of households with clean and healthy living behavior, the percentage of residents with access to proper sanitation, and population density. The best modeling results using the MGWR method formed seven groups of districts/cities based on variables that had a significant effect on the ratio of tuberculosis sufferers in all districts/cities of East Java Province. The AIC and R2 criteria indicate that the GWR method is appropriate for modeling the tuberculosis ratio in each district/city of East Java Province, compared to MGWR which has more optimal AIC and R2.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | AIC, GWR, Jawa Timur, MGWR, Tuberkulosis. AIC, GWR, East Java, MGWR, Tuberculosis. |
| Subjects: | H Social Sciences > HA Statistics |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 11 Jun 2026 04:51 |
| Last Modified: | 11 Jun 2026 04:51 |
| URI: | http://repository.its.ac.id/id/eprint/133735 |
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