Article Sidebar

Submitted
Dec 23, 2023
Accepted
Dec 30, 2023
Published
Dec 31, 2023
Download
PDF
Statistic
Read Counter : 143 Download : 132

Main Article Content

Abstract

Pneumonia is an acute respiratory infectious disease that is the primary death cause due to infection in children worldwide, including Indonesia. Pneumonia case modeling is necessary to predict the incidence, especially pneumonia in toddlers. In this study, case modeling using the Generalized Additive Model for Location, Scale, and Shape (GAMLSS) method with LOESS smoothing to determine the model form and the factors influencing pneumonia cases in toddlers in Indonesia in 2021. The research results obtained indicate that with the Inverse Gaussian distribution, the model form for the location parameter is  9,719 + 0,013 + 0,001 + 0,031 and for the scale parameter is  -10,897 + 0,125. The resulting model is accurate and suitable for use because the model residuals follow a normal distribution. Along with factors that influence pneumonia cases in toddlers in Indonesia are the percentage of babies receiving exclusive breastfeeding (), population density (), and the percentage of toddlers receiving measles immunization ().

Keywords

GAMLSS LOESS Smoothing Pneumonia

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite
Syahar, S., Tazliqoh, A. Z., & Harison. (2023). MODELING PNEUMONIA CASES IN TODDLERS IN INDONESIA USING GENERALIZED ADDITIVE MODEL FOR LOCATION, SCALE, AND SHAPE (GAMLSS) WITH LOESS SMOOTHING. Parameter: Journal of Statistics, 3(2), 54-60. https://doi.org/10.22487/27765660.2023.v3.i2.16918

References

  1. Edy, S. (2021). Save the Children : Imunisasi PCV Cegah Pneumonia the Silent Killer pada Anak. Retrieved from Website INAnews.co.id: https://www.inanews.co.id/2021/07/save-the-children-imunisasi-pcv-cegah-pneumonia-the-silent-killer-pada-anak/.
  2. Fauziah, L. (2015). Aplikasi GAMLSS dengan Pemulusan Loess dan Algoritma Rigby-Stasinopoulos pada Data Cacahan. Skripsi. Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Jember, Jember.,
  3. W., Nurfitra., Satriani., & Junaidi. (2022). Analisis Spasial Penyebaran Penyakit Schistosomiasis Menggunakan Indeks Moran Untuk Mendukung Eradikasi Schistosomiasis di Provinsi Sulawesi Tengah Berbasis Web Dashborad. Jambura Journal Probability and Statistics. 3(2), 120-127.
  4. [Kemenkes RI] Kementrian Kesehatan Republik Indonesia. (2021). Profil Kesehatan Indonesia 2021. Jakarta: Kementerian Kesehatan Republik Indonesia.
  5. Nugroho, A. C. D. (2015). Analisis Faktor-faktor yang Mempengaruhi Pneumonia pada Balita di Kota Surabaya Menggunakan Regresi Nonparametrik Spline. Skripsi. Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Teknologi Sepuluh Nopember, Surabaya.
  6. Pertiwi, F. (2020). Pengaruh Pendapatan Premi dan Hasil Investasi terhadap Cadangan Dana Tabarru pada Perusahaan Asuransi Syariah di Indonesia. Skripsi. Program Studi S1 Akuntansi, Sekolah Tinggi Ilmu Ekonomi Indonesia, Jakarta.
  7. UNICEF. (2021). Pneumonia in Children Statistics. Retrieved from Website UNICEF: https://data.unicef.org/topic/child-health/pneumonia/.
  8. Wahyuni, S. T., Utami, T. W., dan Darsyah, M. Y. (2021). Pemodelan Generalized Additive Model For Location, Scale, and Shape (Gamlss) dengan Pemulusan Locally Estimated Scatterplot Smoothing (Loess) pada Kasus Hiv/Aids Di Jawa Timur. Jurnal Litbang Edusaintech, 2(1), 18-26.
  9. [WHO] World Health Organization. (2022). Pneumonia in Children. Retrieved from Website World Health Organization: https://www.who.int/news-room/fact-sheets/detail/pneumonia.