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IMPLEMENTASI R-SHINY UNTUK ANALISIS BIPLOT KOMPONEN UTAMA (Studi Kasus: Penggunaan Alat Kontrasepsi pada Peserta Aktif KB di Provinsi Jawa Tengah Tahun 2019)

*Andreanto Andreanto  -  Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Hasbi Yasin  -  Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Agus Rusgiyono  -  Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Open Access Copyright 2021 Jurnal Gaussian under http://creativecommons.org/licenses/by-nc-sa/4.0.

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Abstract

The population problem is a fairly complex and complicated problem. Therefore, Indonesia seeks to control the birth rate with the Family Planning program. The implementation of this program can be evaluated through statistical data. The statistical analysis used is biplot principal component analysis to see the relationship between districts/cities in choosing the contraceptive device/method used, the variance of each contraceptive device/method, the correlation between contraceptive devices/methods, and the superiority value of the contraceptive device/method in the population. each district/city. The problem with performing the analysis is the limitations of easy-to-use open source software. As with R, users must understand writing code to perform data analysis. Therefore, to perform a biplot analysis of the principal components, an RShiny application has been created using RStudio. The R-Shiny that has been made has many  advantages,  including  complete  results  which  include  data  display,  data transformation, SVD matrix, to graphs along with plot graph interpretation. The results of the principal component biplot analysis using R-Shiny with α =1 have the advantage of a good principal component biplot, which is 95.63%. This shows that the biplot interpretation of the main components produced can be explained well the relationship between the district/city and the contraceptive methods/devices used.

 

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Keywords: Biplot, Principal Component, R-Shiny, Application, Family Planning

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  1. Adhi, I. S. (2021, January 27). 11 Alat Kontrasepsi Beserta Kelebihan dan kekurangannya. Retrieved from Health Kompas: https://health.kompas.com/read/2020/06/07/060200168/11-jenis-kontrasepsi-beserta-kelebihan-dan-kekurangannya?page=all
  2. Gentle, J. E. (2007). Matrix Algebra : Theory, Computations, and Applications in Statistics. New York: Springer
  3. Jolliffe, I. (2002). Principal Component Analysis, Second Edition. New York: Springer
  4. Kong, X., & Changhua Hu, d. Z. (2017). Principal Component Analysis Networks and Algorithms. Beijing: Science Press
  5. Mattjik, A. A., & Sumertajaya, I. M. (2011). Sidik Peubah Ganda dengan Manggunakan SAS. Bogor: IPB PRESS
  6. Nugroho, S. (2008). Statistika Multivariat Terapan. Bengkulu: UNIB Press
  7. Purwandari, T., & Hidayat, Y. (2016). Pengelompokan Kabupaten Dan Kota Di Jawa Barat Menggunakan Principal Component Analysis Biplot. Prosiding Seminar Nasional Pendidikan Matematika (pp. 3-6). Sumedang: Universitas Padjajaran
  8. Richard, A. J., & Wichern, D. W. (2007). Applied Multivariate Statistical Analysis Sixth Edition. United States of America: Pearson Education, Inc
  9. Rifkhatussa’diyah, E. F. (2014). ANALISIS BIPLOT KOMPONEN UTAMA PADA BANK UMUM (COMMERCIAL BANK) YANG BEROPERASI DI JAWA TENGAH. Jurnal Gaussian, 3(1), 63
  10. Tirta, I. M. (2014). Pengembangan E-Modul Statistika Terintegrasi dan Dinamik dengan R-Shiny dan MathJax. Universitas Jember, 223-232
  11. Tirta, I. M. (2015). Panduan Pennyusunan Modul/Tutorial dan Analisis Data Online Berbasis Web Interaksi Menggunakan R-Shiny. Jember: Universitas Jember

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