Spasial Data Panel Dalam Menentukan Faktor-Faktor Yang Berpengaruh Terhadap Jumlah Kasus Demam Berdarah Dengue (DBD)

  • Anisa Nabila Universitas Islam Indonesia
  • Rahmadi Yotenka Universitas Islam Indonesia
DOI: https://doi.org/10.52166/ujmc.v7i2.2845
Keywords: Dengue Fever (DF), Spatial Panel Data, SAR (spatial autoregressive models)

Abstract

Dengue Fever (DF) is an infection caused by the dengue virus, which several types of mosquitoes can spread. Indonesia has become a dengue-endemic area since 1968 and has spread in 34 provinces with 416 districts and 98 cities. In 2015 there were 126,675 cases of dengue fever in Indonesia, an increase in 2016 to 200,830 cases; the following year, it decreased to 59,047 cases. Then the cases have fluctuated every year. This study aims to look at the factors that influence dengue cases in Indonesia, especially on the islands of Java and Bali. This is because during the last five years (2015 – 2019) the highest dengue cases in Java & Bali were in Indonesia. The method used in this research is spatial analysis of panel data with the best model of SAR (spatial autoregressive models). The results of this study are the percentage of districts/cities that implement policies for healthy areas, the percentage of poor people, and health facilities have a significant effect on the number of dengue cases in Java & Bali.

References

[1] Anselin, L. 1988. Spatial Econometrics: Methods and Models. Netherlands: Kluwer Academic Publishers.
[2] Baltagi, B. 2005. Econometrics Analysis of Panel Data (Ed ke-3). England: John Winley and Sons.
[3] Damanik, C. 2019. 13.683 Kasus DBD di Indonesia dalam Sebulan, 133 Orang Meninggal Dunia. Diakses Pada Https://Regional.Kompas.Com/Read/2019/01/31/14365721/13683-Kasus Dbd-Di-Indonesia-Dalam-Sebulan-133-Orang-Meninggal-Dunia
[4] Durbin, R. 2009. Spatial Weight (A. Potheringham, R. PA, & Handbook of Spatial Analysis (eds.)). London: Sage Publication.
[5] Elhorst, J. P. 2010. Handbook of Applied Spatial Analysis. In Handbook of Applied Spatial Analysis (Issue May). https://doi.org/10.1007/978-3-642-03647-7.
[6] Gujarati, D. 1997. Ekonomi Dasar (Terjemahan Basic Econometrics). Jakarta: PT. Gelora Aksara Pratama.
[7] Kementrian Kesehatan RI. 2018. Data Informasi Kesehatan Indonesia 2018. Jakarta: Kementrian Kesehatan RI.
[8] Kementrian Kesehatan RI. 2019. Profil Kesehatan Indonesia Tahun 2019. Jakarta: Kementrian Kesehatan RI.
[9] Kolondam, B. P., Nelwan, J. E., & Kandou, G. D. 2020. Gambaran Perilaku Masyarakat tentang Upaya Pencegahan Penyakit Demam Berdarah Dengue. Public Health and Community Medicine, 1(1), 1–5.
[10] Mubarak, R. 2012. Analisis Regresi Spline Multivariabel untuk Pemodelan Kematian Penderita Demam Berdarah Dengue (DBD) di Jawa Timur. surabaya: Institut Teknologi Sepuluh Nopember.
[11] Respati, T., Raksanegara, A., Djuhaeni, H., Sofyan, A., Agustian, D., Faridah, L., & Sukandar, H. 2017. Berbagai Faktor yang Memengaruhi Kejadian Demam Berdarah Dengue di Kota Bandung. Aspirator, 9(2), 91–96
[12] Rosadi, D. 2011. Ekonometrika & Analisis Runtun Waktu Terapan dengan R. Yogyakarta: C.V Andi Offset
[13] Tomia, A. 2016. Kejadian Demam Berdarah Dengue (DBD) Berdasarkan Faktor Iklim di Kota Ternate. Jurnal MKMI, 12(4), p.
[14] Ward, M., & Gleditsch, K. 2008. Spatial Regression Models. Los Angeles: Sage Publications, Inc.
Published
2021-12-31
How to Cite
Nabila, A., & Yotenka, R. (2021). Spasial Data Panel Dalam Menentukan Faktor-Faktor Yang Berpengaruh Terhadap Jumlah Kasus Demam Berdarah Dengue (DBD). UJMC (Unisda Journal of Mathematics and Computer Science), 7(2), 49-60. https://doi.org/https://doi.org/10.52166/ujmc.v7i2.2845
Issue
Vol 7 No 2 (2021): Unisda Journal of Mathematics and Computer science
Section
Articles
Creative Commons License

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

Authors who publish in UJMC (Unisda Journal of Mathematics and Computer Science) agree to the following terms:

1.Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal. 

2.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.

3.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.