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All Journal Jurnal EMT KITA Jurnal Sains Sosio Humaniora
Ornila, Lyra
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Arts Humanities Economics, Econometrics & Finance Education Social Sciences

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Analisis Diskriminan dalam Menentukan Fungsi Pengelompokan Kabupaten/Kota di Indonesia berdasarkan Indikator Indeks Pembangunan Manusia Nurhasanah, Nurhasanah; Salwa, Nany; Ornila, Lyra; AR, Fitriana; Hasan, Amiruddin
Jurnal EMT KITA Vol 5, No 1 (2021): Journal EMT KITA
Publisher : Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v5i1.320

Abstract

The Human Development Index (HDI) is a measure used to measure the success of human development in an area. There are several indicators used to compile the HDI value. Previously, regencies/cities were grouped based on the HDI indicator. The grouping is done using K-means cluster analysis with 4 categories, namely regencies/cities that have low, medium, high, and very high HDI indicator values. From the results of determining the category of the HDI indicator in an area, we need a function that can be used to classify an object into one of the HDI indicator value categories. The compilation of the classification function is carried out using discriminant analysis. The results obtained from the discriminant analysis are that there are 10 variables or indicators that fall into the discriminant function. The resulting discriminant function is quite good in classifying each group with a success rate of more than 85% and the discriminant function is supported by a fairly good validation success rate, namely with a classification accuracy of 93.20%.
Classifying Regencies and Cities on Human Development Index Dimensions: Application of K-means Cluster Analysis Nurhasanah, Nurhasanah; Salwa, Nany; Ornila, Lyra; Hasan, Amiruddin; Mardhani, Martahadi
Jurnal Sains Sosio Humaniora Vol. 5 No. 2 (2021): Volume 5, Nomor 2, Desember 2021
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jssh.v5i2.15753

Abstract

The Human Development Index (HDI) is a measurement that analyzes a region's development in improving human development. The government's development plan aims to create a successful and peaceful life. The unbalanced development in every regency and city in Indonesia is a typical issue during the development process. It may also be shown that the HDI level changes across regencies and cities in Indonesia. This research aims to identify Indonesian regencies and cities based on HDI indices. K-Means clustering algorithm is the clustering method adopted. The results of the analysis formed 4 clusters. The first cluster consisted of 20 regencies with a low average HDI indicator. The second cluster consisted of 148 regencies and cities with an average HDI indicator is medium. The third cluster consisted of 88 regencies and cities with an average HDI indicator. The fourth cluster consists of 258 regencies and cities with high HDI indicators
Co-Authors Fitriana AR Hasan, Amiruddin Mardhani, Martahadi Nany Salwa Nurhasanah Nurhasanah