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Image of Analisis Multidimensional Scaling Dan Cluster
Fuzzy C-Means Pada Data Indikator
Kesejahteraan Rakyat Di Indonesia
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CD Skripsi

Analisis Multidimensional Scaling Dan Cluster Fuzzy C-Means Pada Data Indikator Kesejahteraan Rakyat Di Indonesia

NADYA NOVITA / 1803113124 - Nama Orang;

ABSTRACT
The Covid-19 pandemic has disrupted various sectors of people's lives which have an impact on the level of people's welfare in an area. The value of PDRB, per capita expenditure, percentage of the poor, participation rate, and average schooling are some of the variables that can provide an overview of the welfare of the people in an area. Mapping and clustering can be done to determine the level of welfare of the people in Indonesia due to the Covid-19 pandemic. In this study, using the Central Bureau of Statistics data, namely indicators of the welfare of the people of provinces and regencies/cities in Indonesia. The mapping analysis was carried out using multidimensional scaling resulting in 2 groups of provinces with group 1 consisting of 30 provinces and group 2 consisting of 4 provinces and 2 groups of regencies/cities with group 1 consisting of 494 regencies/cities and group 2 consisting of 20 regencies/cities. Multidimensional scaling validation values in the form of STRES values obtained in provinces and regencies/city data are close to 0 and R square equal to 1 which means the results are very good. The grouping was carried out using fuzzy C-Means which resulted in 2 provinces clusters with cluster 1 consisting of 30 provinces and cluster 2 consisting of 4 provinces and 2 clusters of regencies/cities with cluster 1 consisting of 495 regencies/cities and cluster 2 consisting of 19 regencies/cities. Based on the comparison of each variable obtained by cluster 2, cluster 2 is more prosperous than cluster 1. Cluster validation values in the form of MPC and FSI obtained are close to 1 so that the cluster results obtained are very good.
Keywords: Welfare indicators, multidimensional scaling, fuzzy C-Means, validation of clusters.


Ketersediaan
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Perpustakaan Universitas Riau 1803113124
1803113124
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
1803113124
Penerbit
Pekanbaru : Universitas Riau – FMIPA – STATISTIKA Universitas Riau – FMIPA – STATISTIKA., 2022
Deskripsi Fisik
-
Bahasa
Indonesia
ISBN/ISSN
-
Klasifikasi
1803113124
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
STATISTIKA
Info Detail Spesifik
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Pernyataan Tanggungjawab
Deti
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Tidak tersedia versi lain

Lampiran Berkas
  • COVER
  • ABSTRAK
  • DAFTAR ISI
  • BAB 1 PENDAHULUAN
  • BAB II MULTIDIMENSIONAL SCALING DAN FUZZY C-MEANS
  • BAB III METODOLOGI PENELITIAN
  • BAB IV ANALISIS MULTIDIMENSIONAL SCALING DAN CLUSTER FUZZY C-MEANS PADA DATA INDIKATOR KESEJAHTERAAN RAKYAT INDONESIA
  • BAB V KESIMPULAN DAN SARAN
  • DAFTAR PUSTAKA
  • LAMPIRAN
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