Analisis Data Hubungan Antar Variabel Pada Pengetahuan Swamedikasi

  • Dian Mustofani Institut Ilmu Kesehatan Bhakti Wiyata Kediri
  • Hariyani Hariyani Institut Ilmu Kesehatan Bhakti Wiyata Kediri
  • Ahmad Afif Institut Ilmu Kesehatan Bhakti Wiyata Kediri
  • Dianti Ias Oktaviasari Institut Ilmu Kesehatan Bhakti Wiyata Kediri
  • Bagus Yuli Ariadhita SMKN 1 Kota Kediri
DOI: https://doi.org/10.52166/ujmc.v10i1.6701
Keywords: Data Analysis, Linear Regression

Abstract

Linear regression is a data analysis method that is for determine relation on the variables. One of the uses of this analysis is that can used to determine which independent variable policies should be increased or decreased. Regression analysis has two types, that is name simple linear regression analysis and multiple linear regression analysis. This research discusses the use of multiple linear regression analysis to determine which independent variables influence mothers' self-medication knowledge in treating fever in children, with known three independent variables and one dependent variable. The regression analysis in this research shows that the mother's education level has an influence on self-medication knowledge with a percentage influence value of 27.9%.

References

[1] D. Mustofani, Modul Ajar Statistika, Kediri: IIK Press, 2022.
[2] A. Wiraninda, "Tingkat Pengetahuan Swamedikasi Dalam Penanganan Demam Pada Anak Oleh Ibu di RW 3 Desa Bacem Kabupaten Blitar," in Tingkat Pengetahuan Swamedikasi Dalam Penanganan Demam Pada Anak Oleh Ibu di RW 3 Desa Bacem Kabupaten Blitar, Kediri, Prodi D3 Farmasi IIK Bhakti Wiyata Kediri, 2022.
[3] D. Mustofani, "Penerapan Uji Korelasi Rank Spearman Untuk Mengetahui Hubungan Tingkat Pengetahuan Ibu Terhadap Tindakan Swamedikasi Dalam Penanganan Demam Pada Anak," UJMC, pp. 9-13, 2023.
[4] C. Kurniawan, "Analisis Data Hubungan Antar Variabel Sebagai Metode Alternatif," SINTEKS Jurnal Teknik STT Malang, 2017.
[5] I. M. Yuliara, Modul Regresi Linier Sederhana, Bali: Universitas Udayana, 2016.
Published
2024-06-25
How to Cite
Mustofani, D., Hariyani, H., Afif, A., Oktaviasari, D., & Ariadhita, B. (2024). Analisis Data Hubungan Antar Variabel Pada Pengetahuan Swamedikasi. UJMC (Unisda Journal of Mathematics and Computer Science), 10(1), 12-17. https://doi.org/https://doi.org/10.52166/ujmc.v10i1.6701
Issue
Vol 10 No 1 (2024): 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.