Pengelompokan Provinsi di Indonesia Menggunakan Algoritma Partitioning Around Medoids (PAM) Terhadap Indikator Pembentuk Indeks Pembangunan Manusia (IPM) Tahun 2020

Authors

  • Reni Anggraini Program Studi Statistika, Fakultas Ilmu Penetahuan Alam, Universitas Sebelas Maret
  • Sri Subanti Program Studi Statistika, Fakultas Ilmu Penetahuan Alam, Universitas Sebelas Maret
  • Sri Sulistijowati Handajani Program Studi Statistika, Fakultas Ilmu Penetahuan Alam, Universitas Sebelas Maret

Keywords:

Economics, development index, partitioning around medoids

Abstract

The human development index is an indicator that can convert, human development and become a country's measure. Bank Indonesia the central bank/bi's decision to raise its benchmark interest rate by 25 basis points to 8.25 percent would be lower than the previous quarter of this year, he said. The algontma to be used on this research is partitioning Around medoids The algorithm partitioning around medoids is done by sifting through data Which is analyzed into the cluster-clusters that exist. The data used in mni suppresses the ipm phasing indicator, which is the biologic age. The rupiah's current exchange rate against rp9,100 per dollar in the Jakarta interbank spot market on Tuesday afternoon strengthened to rp9,310/9,329 per dollar in the Jakarta interbank spot market on Tuesday. The result of a 34 proxies grouping in Indonesia is based on indicators of human development in 2020, at two optimum clusters, In the first half of 2007, the company's total assets in the first quarter of 2007 fell to rp2.1 trillion from rp2.1 trillion in the same period last year

References

Badan Pusat Statistika. 2020. Indeks Pembangunan Manusia. Indonesia : Badan Pusat Statistika

Binty, T. (2018, Juli 8). Algoritma PAM. Retrieved from Medium.com: https://medium.com/@tribinty/k-medoids-partitioning-around-medoids-pam-non-hierarchical-clustering-with-r-9d0af590bbc0

Muhammad Garibaldi, Paidi Hidayat. (2013). Analisis Hubungan IPM dan Pertumbuhan Ekonomi Kabupaten/Kota di Provinsi Sumatra Utara. https://media.neliti.com/media/publications/14820-ID-analisis-hubungan-ipm-dan-pertumbuhan-ekonomi-kabupatenkota-di-provinsi-sumatera.pdf.

Riadi, M. (2017, September 21). Pengertian, Fungsi Proses dan Tahapan Data Mining. Retrieved from kajianpustaka.com: https://www.kajianpustaka.com/2017/09/data-mining.html

Sangga, V. A. (2018). Perbandingan Algoritma K-Means dan Algoritma K-Medoids dalam Pengelompokan Komoditas Peternakan di Provinsi Jawa Tengah Tahun 2015. Yogyakarta: Universitas Islam Indonesia

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Published

2021-03-29

Issue

Vol. 8 No. 1: Februari 2021

Section

Articles

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