Jurnal Gaussian
Vol 11, No 3 (2022): Jurnal Gaussian

ANALISIS CLUSTER TERHADAP INDIKATOR DATA SOSIAL DI PROVINSI NUSA TENGGARA TIMUR MENGGUNAKAN METODE SELF ORGANIZING MAP (SOM)

Nurul Imani (Fungsi Statistik Distribusi, Badan Pusat Statistik Kabupaten Sumba Timur)
Achmad Isya Alfassa (Program Studi Doktor Kependudukan Sekolah Pascasarjana Universitas Gadjah Mada)
Anne Mudya Yolanda (Program Studi Statistika, Jurusan Matematika, Universitas Riau)



Article Info

Publish Date
03 Jan 2023

Abstract

The Human Development Index (HDI) is used to assess the quality of life in a given area. In general, the HDI of Nusa Tenggara Timur (NTT) Province increased by 0.88 percent per year from 2011 to 2020 and fell by 0.06 percent in 2019-2020. The characteristics of the current situation of HDI in all districts/cities in NTT were defined using 9 variables in this study. The goal of this study is to combine clustering analysis with a Self-Organizing Map (SOM). Based on the analysis, it was found that NTT has four clusters based on HDI, with clusters 1, 2, 3, and 4 having 16, 3, 2, and 1 member(s) respectively. The cluster findings are meant to be utilized as a guide by the government when developing public policy or making decisions, given the seriousness of the Covid-19 pandemic. These findings could be used to address social issues in NTT, as well as be supported by beneficial policies.

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Journal Info

Abbrev

gaussian

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Subject

Other

Description

Jurnal Gaussian terbit 4 (empat) kali dalam setahun setiap kali periode wisuda. Jurnal ini memuat tulisan ilmiah tentang hasil-hasil penelitian, kajian ilmiah, analisis dan pemecahan permasalahan yang berkaitan dengan Statistika yang berasal dari skripsi mahasiswa S1 Departemen Statistika FSM ...