SEPTIAN, M. ALDI and Irmeilyana, Irmeilyana and Suprihatin, Bambang (2025) PERBANDINGAN INDEKS PEMBANGUNAN MANUSIA (IPM) PROVINSI PAPUA TAHUN 2020, 2022, DAN 2023 MENGGUNAKAN ANALISIS BIPLOT DAN ANALISIS PROCRUSTES. Undergraduate thesis, Sriwijaya University.
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Abstract
The Human Development Index (HDI) is an important indicator to measure the level of welfare of the people of a region. Papua Province has abundant natural resource potential, but Papua's HDI level is the lowest in Indonesia. The purpose of this study is to compare the HDI of Papua Province in 2020, 2022, and 2023. The data matrix of the HDI includes Life Expectancy (LE), Expected Years of Schooling (EYS), Mean Years of Schooling (MYS), Adjusted per capita expenditure, and the Percentage of poor population. The objects of this research include 29 regencies/municipalities in Papua Province. The data matrix of the three HDIs are represented graphically by biplot analysis. Furthermore, the biplot results on the HDI data matrix were compared using Procrustes analysis. The first comparison is between data in 2020 and 2023 and the second comparison is between data in 2022 and 2023. The results of the biplot analysis on the three HDIs show that LE is strongly positively correlated with EYS. Based on Procrustes analysis, a similarity measure was obtained between the two data matrices being compared. The first comparison was obtained a translation value of 0.0863, a rotation value of 0.0146, and a dilation value of 0.0144, resulting in a similarity measure of 99.24%. Meanwhile, the second comparison was obtained a translation value of 0.0326, a rotation value of 0.0040, and a dilation value of 0.0038, resulting in a similarity measure of 99.80%. This indicates that there is a similarity between the HDI biplots of 2020, 2022, and 2023, meaning there were no significant changes in the HDI indicators in those years.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Analisis Biplot, Analisis Procrustes, Indeks Pembangunan Manusia, Konfigurasi |
Subjects: | Q Science > QA Mathematics > QA299.6-433 Analysis > Q337.3 Swarm intelligence. Big data -- Social aspects. Information technology -- Economic aspects. |
Divisions: | 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1) |
Depositing User: | M. Aldi Septian |
Date Deposited: | 19 Sep 2025 01:46 |
Last Modified: | 19 Sep 2025 01:46 |
URI: | http://repository.unsri.ac.id/id/eprint/184281 |
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