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ABSTRAKIndonesia termasuk ke dalam kategori high burden countries untuk beban
tertinggi TB dunia, menempati urutan ketiga setelah India dan Cina.
Penanggulangan penyakit ini salah satunya dengan pemodelan kejadian TB Paru
dengan faktor-faktor risikonya dengan analisis regresi linear. Namun, belum tentu
cocok diterapkan disemua wilayah karena memiliki kondisi geografis yang
berbeda, sehingga dapat menyebabkan adanya perbedaan kasus TB Paru antara
wilayah satu dengan wilayah yang lainnya. Oleh karena itu, perlu dimasukkan
unsur pengaruh geografis dengan pemodelan regresi linear spasial atau
Geographically Weighted Regression (GWR), dalam penelitian ini untuk menilai
hubungan kejadian TB Paru dengan faktor kondisi lingkungan fisik rumah,
kondisi lingkungan rumah tinggal, karakteristik kependudukan, dan
memanfaatkan pelayanan kesehatan terhadap kejadian TB Paru. Penelitian ini
menggunakan desain studi potong lintang (cross sectional) dengan menggunakan
data Riset Kesehatan Dasar (Riskesdas) 2010. Sampel penelitian ini adalah
responden dalam Riskesdas 2010 berusia 15 tahun ke atas di Jawa Barat. Hasil
penelitian menunjukkan bahwa memanfaatkan pelayanan kesehatan merupakan
faktor dominan yang berhubungan dengan kejadian TB Paru di tiap Kabupaten/Kota Provinsi Jawa Barat kecuali Majalengka dan Pekerjaan juga berhubungan hanya di Kabupaten Bogor.
ABSTRACTIndonesia is in the category of high-burden countries for the highest burden of
Pulmonary Tuberculosis of the world, the third rank after India and China. The
effort to overcome this disease is to do modeling the prevalence of Pulmonary
Tuberculosis using linear regression model globally. However, it is not
necessarily suitable to be applied in all areas because every area has different
geographical condition, so it can lead to differences of TB cases between one
region with another region. Therefore, the effect of geographic elements need to
be incorporated with linear regression modeling spatial or Geographically
Weighted Regression (GWR). This study applied GWR model to assess the
association of Pulmonary Tuberculosis prevalence by the physical condition of the
home environment, residential environment, demographic characteristics, and
health care utilizing factors on the prevalence of Pulmonary Tuberculosis. This
study used a cross-sectional study design using Riskesdas Data - 2010. Samples in
this study were Riskesdas 2010 respondents aged 15 years and over in West Java.
The results showed that utilize of health care is the dominant factor associated with the prevalence of Pulmonary Tuberculosis in each district/city of West Java except Majalengka, also related employement status only in Bogor Regency.;Indonesia is in the category of high-burden countries for the highest burden of
Pulmonary Tuberculosis of the world, the third rank after India and China. The
effort to overcome this disease is to do modeling the prevalence of Pulmonary
Tuberculosis using linear regression model globally. However, it is not
necessarily suitable to be applied in all areas because every area has different
geographical condition, so it can lead to differences of TB cases between one
region with another region. Therefore, the effect of geographic elements need to
be incorporated with linear regression modeling spatial or Geographically
Weighted Regression (GWR). This study applied GWR model to assess the
association of Pulmonary Tuberculosis prevalence by the physical condition of the
home environment, residential environment, demographic characteristics, and
health care utilizing factors on the prevalence of Pulmonary Tuberculosis. This
study used a cross-sectional study design using Riskesdas Data - 2010. Samples in
this study were Riskesdas 2010 respondents aged 15 years and over in West Java.
The results showed that utilize of health care is the dominant factor associated with the prevalence of Pulmonary Tuberculosis in each district/city of West Java except Majalengka, also related employement status only in Bogor Regency., Indonesia is in the category of high-burden countries for the highest burden of
Pulmonary Tuberculosis of the world, the third rank after India and China. The
effort to overcome this disease is to do modeling the prevalence of Pulmonary
Tuberculosis using linear regression model globally. However, it is not
necessarily suitable to be applied in all areas because every area has different
geographical condition, so it can lead to differences of TB cases between one
region with another region. Therefore, the effect of geographic elements need to
be incorporated with linear regression modeling spatial or Geographically
Weighted Regression (GWR). This study applied GWR model to assess the
association of Pulmonary Tuberculosis prevalence by the physical condition of the
home environment, residential environment, demographic characteristics, and
health care utilizing factors on the prevalence of Pulmonary Tuberculosis. This
study used a cross-sectional study design using Riskesdas Data - 2010. Samples in
this study were Riskesdas 2010 respondents aged 15 years and over in West Java.
The results showed that utilize of health care is the dominant factor associated with the prevalence of Pulmonary Tuberculosis in each district/city of West Java except Majalengka, also related employement status only in Bogor Regency.]
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