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; Hasbi Yasin; Agus Rusgiyono

doi:10.14710/j.gauss.10.4.499-507

DOI: https://doi.org/10.14710/j.gauss.10.4.499-507

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

BibTex Citation Data :

@article{J.Gauss33097,
    author = {Andreanto Andreanto and Hasbi Yasin and Agus Rusgiyono},
    title = {IMPLEMENTASI R-SHINY UNTUK ANALISIS BIPLOT KOMPONEN UTAMA (Studi Kasus: Penggunaan Alat Kontrasepsi pada Peserta Aktif KB di Provinsi Jawa Tengah Tahun 2019)},
    journal = {Jurnal  Gaussian},
  volume = {10},
    number = {4},
    year = {2021},
    keywords = {Biplot, Principal Component, R-Shiny, Application, Family Planning},
    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.    },
   issn = {2339-2541},   pages = {499--507}  doi = {10.14710/j.gauss.10.4.499-507},
    url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/33097}
}

Citation Format:

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.

Fulltext View|Download

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

Article Metrics:

Article Info

Section: Articles

Language : ID

In Vol 10, No 4 (2021): Jurnal Gaussian

Recent articles

PERBANDINGAN MODEL REGRESI BINOMIAL NEGATIF BIVARIAT DENGAN MODEL GEOGRAPHICALLY WEIGHTED NEGATIVE BINOMIAL BIVARIAT REGRESSION (GWNBBR) PADA KASUS ANGKA KEMATIAN BAYI DAN KEMATIAN IBU DI JAWA TENGAH PENERAPAN DIAGRAM KENDALI MAXIMUM MULTIVARIATE CUMULATIVE SUM (MAX-MCUSUM) PADA PENGENDALIAN KUALITAS PRODUK KACANG (Studi Kasus: Produk Kacang Garing di PT XY) PENGELOMPOKAN TITIK GEMPA DI PULAU SULAWESI MENGGUNAKAN ALGORITMA ST-DBSCAN (Spatio Temporal-Density Based Spatial Clustering Application with Noise) More recent articles

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
Gentle, J. E. (2007). Matrix Algebra : Theory, Computations, and Applications in Statistics. New York: Springer
Jolliffe, I. (2002). Principal Component Analysis, Second Edition. New York: Springer
Kong, X., & Changhua Hu, d. Z. (2017). Principal Component Analysis Networks and Algorithms. Beijing: Science Press
Mattjik, A. A., & Sumertajaya, I. M. (2011). Sidik Peubah Ganda dengan Manggunakan SAS. Bogor: IPB PRESS
Nugroho, S. (2008). Statistika Multivariat Terapan. Bengkulu: UNIB Press
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
Richard, A. J., & Wichern, D. W. (2007). Applied Multivariate Statistical Analysis Sixth Edition. United States of America: Pearson Education, Inc
Rifkhatussa’diyah, E. F. (2014). ANALISIS BIPLOT KOMPONEN UTAMA PADA BANK UMUM (COMMERCIAL BANK) YANG BEROPERASI DI JAWA TENGAH. Jurnal Gaussian, 3(1), 63
Tirta, I. M. (2014). Pengembangan E-Modul Statistika Terintegrasi dan Dinamik dengan R-Shiny dan MathJax. Universitas Jember, 223-232
Tirta, I. M. (2015). Panduan Pennyusunan Modul/Tutorial dan Analisis Data Online Berbasis Web Interaksi Menggunakan R-Shiny. Jember: Universitas Jember

Last update:

No citation recorded.

Last update:

No citation recorded.

The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Media Statistika journal and Department of Statistics, Universitas Diponegoro as the publisher of the journal. Copyright encompasses the rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations.

Jurnal Gaussian and Department of Statistics, Universitas Diponegoro and the Editors make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in Jurnal Gaussian journal are the sole and exclusive responsibility of their respective authors and advertisers.

The Copyright Transfer Form can be downloaded here: [Copyright Transfer Form Jurnal Gaussian]. The copyright form should be signed originally and send to the Editorial Office in the form of original mail, scanned document or fax :

Dr. Rukun Santoso (Editor-in-Chief)
Editorial Office of Jurnal Gaussian
Department of Statistics, Universitas Diponegoro
Jl. Prof. Soedarto, Kampus Undip Tembalang, Semarang, Central Java, Indonesia 50275
Telp./Fax: +62-24-7474754
Email: jurnalgaussian@gmail.com