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

The Human Development Index (HDI) is a measure used to the success of human development in an area. There are several indicators compile HDI value. Previously, regencies/cities were grouped based on indicator. grouping done using K-means cluster analysis with 4 categories, namely that have low, medium, high, and very high indicator values. From results determining category area, we need function can be classify object into one value categories. compilation classification carried out discriminant analysis. obtained from there 10 variables or fall function. resulting quite good classifying each group rate more than 85% supported by fairly validation rate, accuracy 93.20%.