Sunensi, Maria Rely (2023) Implementasi Data Mining Untuk Clustering Indeks Pembangunan Manusia (IPM) Berdasarkan Kabupaten/Kota Di Provinsi NTT Menggunakan Metode K-Means Dan Ward Linkage. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

In 2021, the East Nusa Tenggara (NTT) human development index increased compared to before. In 2021, the HDI of East Nusa Tenggara Province was 65.28, an increase of 0.14 percent (up 0.09 points) compared to 2020. The 2021 HDI increase was supported by the health and education components, but the adjusted per capita expenditure component decreased by 0.58 percent compared to 2020. The methods used in this research are K- Means and Ward Linkage. This research was conducted to calculate the relationship between HDI and real per capita expenditure as well as to calculate the clustering of HDI based on real per capita expenditure in NTT using the K-Means method and to make a comparison with the Ward Linkage method. The results of the calculation of the relationship between HDI and RIl Expenditure per produces a very strong relationship, namely K-Means Clustering and in 2018 and 2019 the same, C1 8 districts (low cluster), C2 8 districts (medium cluster) and C3 4 districts (high cluster). In 2020 and 2021 the same, C1 8 districts (low cluster), C2 12 districts (high cluster). While in 2022 C1 9 districts (low cluster), C2 8 districts (medium cluster), and C3 3 districts (high cluster). Ward Linkage Clustering in 2018 C1 8 districts (low cluster), C2 9 districts (medium cluster) and C3 3 districts (high cluster). In 2019 C1 9 districts (low cluster), C2 8 districts (medium cluster) and C3 3 districts (high cluster). In 2020 C1 9 districts (low cluster), C2 12 districts (high cluster). In 2021 C1 10 districts (low cluster), C2 11 districts (high cluster). While in 2022 C1 9 districts (low cluster), C2 8 districts (medium cluster) and C3 3 districts (high cluster).

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