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Determinan Kejadian Penyakit Tuberkulosis (TB) Paru Di Provinsi Jawa Barat Tahun 2024

Author


Elsa Simbolon(1), M. Alparizi. Z(2Mail), Hasna Nur Khoirunnisa(3), Wulan Septiani Shifaatul Ulya(4), Agus Purwoto(5),
(1) ,
(2) Politeknik Statistika STIS,
(3) Politeknik Statistika STIS,
(4) Politeknik Statistika STIS,
(5) ,

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Available online: 2025-07-26  |  Published : 2025-07-26
Copyright (c) 2025 M. ALPARIZI .Z, Hasna Nur Khoirunnisa, Wulan Septiani Shifaatul Ulya
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Abstract


Pulmonary tuberculosis (TB) remains a significant public health concern in many countries, including Indonesia. West Java Province is one of the regions in Indonesia that bears a considerable burden in addressing pulmonary tuberculosis cases. The number of TB cases in this province has continued to rise, with 224,798 cases reported in 2024. This study aims to provide a general overview of the incidence of pulmonary tuberculosis in West Java in 2024 and to identify the variables that influence its occurrence. The analytical method used in this study is multiple linear regression. The study utilizes secondary data obtained from publications by Statistics Indonesia (Badan Pusat Statistik/BPS). The results show that the number of healthcare facilities has a significant effect on the incidence of pulmonary tuberculosis in West Java. In contrast, population density, the percentage of the poor population, and the percentage of livable housing do not have a significant effect on the incidence of pulmonary tuberculosis in the province.

Keywords


Tuberculosis, Population Density, Healthcare.

References


Chairani, M., & Mariana, D. (2017). Faktor Risiko Kejadian Tuberkulosis Paru di Wilayah Kerja Puskesmas Binanga Kabupaten Mamuju. VIII, 140145.

Dinas Kesehatan Provinsi Jawa Barat. (2024). Profil Kesehatan Provinsi Jawa Barat Tahun 2023.

Fitria, E., Juwita, R., Rulen, B. N., & Masnarifan, Y. (2023). Pemodelan Faktor Resiko Kejadian TB Di Provinsi Riau. 15. https://doi.org/https://doi.org/10.51712/mitraraflesia.v15i1.179

Gujarati. Damodar N, & Porter. (2009). Basic Econometrics

Hastuti, T., Ahmad, L. O. A., & Ibrahim, K. (2016). Analisis spasial, korelasi dan tren kasus TB paru BTA positif menggunakan web sistem informasi geografis di Kota Kendari tahun 2013-2015. 115.

Karim, A. dan Utomo, A. P. (2024). Analisis Variabel-variabel yang Memengaruhi Insiden Tuberkulosis di Provinsi Jawa Timur Tahun 2022. Seminar Nasional Official Statistics 2024.

Karima, N. Al, Suyitno, S., & Hayati, M. N. (2021). Analisis Faktor-Faktor yang Mempengaruhi Jumlah Kasus Tuberkulosis di Indonesia Menggunakan Model Geographically Weighted Poisson Regression. Eksponensial, 12(1), 7. ttps://doi.org/10.30872/eksponensial.v12i1.754

Kemenkes RI. (2025). Aksi Nyata Percepatan Eliminasi Tuberkulosis di Indonesia. Diakses pada 28 Mei 2025, dari https://kemkes.go.id/id/47510

Kementerian Kesehatan RI. (2024). Laporan Program Penanggulangan Tuberkulosis Tahun 2023.

Kutner, M. H., Nachtsheim, C. J., & Neter, J. (2004). Applied Linear Regression Models. McGraw-Hill/Irwin.

Nabiha, P. Z. (2023). Analisis Kualitas Udara (PM 2.5) dan Faktor Iklim (Kelembapan dan Curah Hujan) Dengan Kejadian Tuberkulosis di Jakarta.

Siwiendrayanti, A., Sukendra, D. M., dan Arofah, D. (2018). Analisis Spasial dan Temporal Persebaran Kasus Baru TB Paru BTA (+) di Kabupaten Batang. Jurnal Kesehatan Lingkungan Indonesia. 17(2), 95 103.

World Health Organization. (2024). Global Tuberculosis Report


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