Analisis Diskriminan dalam Menentukan Fungsi Pengelompokan Kabupaten/Kota di Indonesia berdasarkan Indikator Indeks Pembangunan Manusia

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%.

Classification of Java Cities/Regencies Based on Human Development Index Using Discriminant Analysis and Naïve Bayes Classifier

“…Previous research on HDI [6] using discriminant analysis explained that life expectancy has a negative correlation with HDI, while expected length of schooling, average length of schooling, and purchasing power parity have a positive correlation with HDI. Similar research was conducted by Hasan [7], where there were four discriminant functions used to group cities/regencies in Indonesia based on ten HDI indicators in 2015 with a success rate of more than 85%. However, research using HDI indicators in 2015 is considered no longer relevant for use in calculating HDI at this time [5].…”

Pengaruh Dana Zakat, PDRB Perkapita Dan Kemiskinan Terhadap Pembangunan Manusia Di Provinsi Aceh

“…PDRB Provinsi Aceh menunjukkan trend meningkat tahun 2017 hingga 2021. Penelitian Hidayat dan Woyanti (2022), Amrullah (2022), Nurhasanah et al (2021) menyimpulkan bahwa PDRB per kapita berpengaruh positif terhadap pembangunan manusia. Berbeda dengan hasil penelitian Aviyati (2016) dan Sasana (2012) menunjukkan PDRB per kapita tidak berpengaruh terhadap pembangunan manusia, hal ini bisa terjadi karena distribusi pendapatan masyarakat yang tidak merata.…”

Analisis Disriminan Dan Klasifikasi Ketepatan Masa Studi Mahasiswa Pendidikan Fisika

“…Dalam bidang ekonomi, analisis diskriminan bisa digunakan untuk membedakan potensi kebangkrutan perusahaan Textile & Garment yang terdaftar di Bursa Efek Indonesia (BEI) tahun 2016-2018 (Ismanto & Ernawati, 2021). Fungsi diskriminan juga digunakan untuk mengelompokkan kabupaten/kota masuk ke dalam kategori status indikator IPM rendah, sedang, tinggi, dan sangat tinggi (Nurhasanah et al, 2021 Dalam dunia pendidikan dan psikologi, analisis diskriminan digunakan untuk mengetahui faktor-faktor yang mempengaruhi mahasiswa dalam pemilihan Prodi Matematika FMIPA dan FKIP Universitas Sriwijaya (Andriani et al, 2011). Faktor-faktor yang diamati adalah faktor minat , dunia kerja, kapasitas prodi, lingkungan sosial , dan motivasi dunia kerja.…”