Maulidia, Noviana (2021) Analisis Cluster Dan Korespondensi Terhadap Indikator Pertumbuhan Penduduk Kota Surabaya Tahun 2020. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Surabaya sebagai ibu kota Jawa Timur selain pertumbuhan penduduknya sangat cepat juga memiliki kepadatan penduduk yang tertinggi yaitu 8.707 jiwa/km2. Berdasarkan data Kota Surabaya Dalam Angka tahun 2020 menunjukkan bahwa setiap Kecamatan memiliki laju pertumbuhan penduduk yang beragam. Permasalahan dari penelitian ini adalah besarnya keragaman dari indikator pertumbuhan penduduk, yang diukur menggunakan variabel jumlah kelahiran, jumlah kematian, jumlah pindah keluar, dan jumlah pindah datang pada 31 Kecamatan di Surabaya. Keragaman antar Kecamatan dikelompokkan dengan menggunakan analisis cluster. Analisis korespondensi untuk mengetahui wilayah Kecamatan yang cenderung secara visualisasi mempunyai jarak terdekat dengan indikator pertumbuhan penduduk. Data penelitian menggunakan data yang diperoleh dari Dinas Kependudukan dan Pencatatan Sipil Surabaya. Hasil analisis dengan Metode Ward’s, menggunakan Pseudo-F didapatkan paling optimum 3 cluster, yaitu cluster 1 mempunyai pertumbuhan penduduk terklasifikasikan sedang dengan jumlah anggota 13 Kecamatan, cluster 2 mempunyai pertumbuhan penduduk terklasifikasikan cepat dengan jumlah anggota 5 Kecamatan, dan cluster 3 mempunyai pertumbuhan penduduk terklasifikasikan lambat dengan jumlah anggota 13 Kecamatan. Hasil analisis korespondensi cluster 1 dan cluster 3 cenderung memiliki kedekatan jarak dengan indikator jumlah kelahiran, cluster 2 cenderung memiliki kedekatan jarak dengan indikator jumlah pindah keluar.
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Surabaya as the capital city of East Java, apart from its very fast
population growth, it also has the highest population density of 8,707
people/km2. Based on data from the City of Surabaya in Figures for
2020, it shows that each sub-district has a diverse population growth
rate. The problem of this study is the magnitude of the diversity of
indicators of population growth, which is measured using the variables
number of births, number of deaths, number of moving out, and number
of moving in in 31 districts in Surabaya. The diversity between sub�districts is interesting by using cluster analysis. Correspondence analysis
is to find out which sub-districts tend to visually have the closest
distance to population growth indicators. Research data using data
obtained from the Department of Population and Civil Registration
Surabaya. The results of the analysis using the Ward's Method, using
Pseudo-F obtained 3 most optimal clusters, namely cluster 1 has a
moderately classified population growth with 13 sub-district members,
cluster 2 has a classified population growth rate of 5 sub-districts, and
cluster 3 has classified population growth. slow with the number of
members 13 districts. The results of the correspondence analysis of
cluster 1 and cluster 3 tend to have a distance with the number of births
indicators, cluster 2 has a close distance with the number of moving out
indicators.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Analisis Cluster, Analisis Korespondensi, Metode Ward’s, Pertumbuhan Penduduk, Cluster Analysis, Correspondence Analysis, Ward’s Method, and Population Growth |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA278 Cluster Analysis. Multivariate analysis. Correspondence analysis (Statistics) |
| Divisions: | Faculty of Vocational > 49501-Business Statistics |
| Depositing User: | Noviana Maulidia |
| Date Deposited: | 08 Aug 2021 14:54 |
| Last Modified: | 08 Aug 2021 14:54 |
| URI: | http://repository.its.ac.id/id/eprint/85098 |
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