Modeling of Tuberculosis Case In Central Java 2018 With Three Knot Point

Dina Fristantiningtyas Wiliyani Hapsari(1*), Laelatul Khikmah(2)


(1) Department of Statistics, Akademi Ilmu Statistika Muhammadiyah Semarang, Semarang
(2) Department of Statistics, Akademi Ilmu Statistika Muhammadiyah Semarang, Semarang
(*) Corresponding Author

Abstract


Tuberculosis is a contagious disease caused by infection with the bacteria Mycobacterium Tuberculosis or known as Acid-Resistant Bacteria (BTA). Central Java is one of the provinces that has a high number of tubuerculosis cases in Indonesia. In 2018, Central Java was in second place after West Java in the highest number of Tuberculosis cases in Indonesia with the number of Tuberculosis cases of all types of 67,941 cases. Many variables can affect the number of TB cases. Therefore, a study was conducted in the form of modeling to determine the variables that affect the number of tuberculosis cases in Central Java. Based on data obtained from the Central Java Provincial Health Office in 2018, it shows that the pattern between the number of tuberculosis cases and the variables that are thought to influence it is not linearly related, then a spline regression approach is carried out. The results of this study indicate that the best spline regression model is to use three point knots with significant variables, namely population density and malnutrition. The value of 𝑅2 obtained is 54.6%.

Keywords


Central Java; Knot Point; Spline Regression; Tuberculosis

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References


Eubank, R.L., 1999. Nonparametric Regressionand Spline Smoothing. CRC press.

Härdle, W. and Linton, O., 1994. Applied nonparametric methods. Handbook of econometrics, 4, pp.2295-2339.

Kementerian Kesehatan RI, 2018. InfoDatin Tuberculosis. Kementeri. Kesehat. RI 1.

Kementrian Kesehatan Republik Indonesia, 2019. Profil Kesehatan Indonesia 2018 Kemenkes RI. (2019). Profil Kesehatan Indonesia 2018 [Indonesia Health Profile 2018]. http://www.depkes.go.id/resources/download/pusdatin/profil-kesehatan-indonesia/Data-dan-Informasi_Profil-Kesehatan-Indonesia-2018.

RI, K.K., 2018. Provil Kesehatan Indonesia 2017. https://doi.org/10.1002/qj

Suparti, S., Prahutama, A., Rusgiyono, A., Sudargo, S., 2019. Modeling Central Java Inflation and Grdp Rate Using Spline Truncated Birespon Regression and Birespon Linear Model. Media Stat. 12, 129. https://doi.org/10.14710/medstat.12.2.129-139

WHO, 2018. WHO TB burden report 2018, Workplace Health and Safety. https://doi.org/10.1177/2165079915607875

Wulandari, H., Kurnia, A., Sumantri, B., Kusumaningrum, D., Waryanto, B., 2017. Penerapan Analisis Regresi Spline Untuk Menduga Harga Cabai Di Jakarta. Indones. J. Stat. Its Appl. 1, 1–12. https://doi.org/10.29244/ijsa.v1i1.47


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DOI: https://doi.org/10.26714/jichi.v1i2.6348

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Journal of Intelligent Computing and Health Informatics (JICHI)
ISSN 2715-6923 (print) | 2721-9186 (online)
Organized by
Department of Informatics
Faculty of Engineering
Universitas Muhammadiyah Semarang

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