KLASIFIKASI INDEKS PEMBANGUNAN MANUSIA KABUPATEN/KOTA SE-INDONESIA DENGAN PENDEKATAN SMOOTH SUPPORT VECTOR MACHINE (SSVM) KERNEL RADIAL BASIS FUNCTION (RBF)

Abstract

Human Development Index (HDI) is a measure of human development achievement
based on basic components of quality of life. The human development index is low if
the HDI is less than 60, moderate HDI between 60 to less than 70, high HDI between
70 to less than 80, and equal to 80 and more than 80 are high. Smooth Support
Vector Machine (SSVM) is a classification technique that is new. The algorithm used
is Radial Basis Function (RBF). The result of human development sperm using SSVM
method with RBF kernel is 100%. With 41 districts / cities including low HDI. While
332 districts / cities are included in medium HDI coverage, 134 districts / cities are
included in the high HDI, and 12 districts / cities including HDI is very high.
 
Keywords : Human Development Index, Smooth Support Vector Machine (SSVM), Radial Basis Function (RBF), accuracy, classification.