THE USE OF DISCRIMINANT ANALYSIS FOR SAND STONE SUBPOPULATION CLASSIFICATION BASED ON CRUDE OIL CONTENT

Abstract

To determine the independent discriminant analysis of crude oil, two populations of sand stone was utilized. The rock contains five variables, namely crude oil Vanadium, Iron, Beryllium, Hydrocarbon, and Aromatic Hydrocarbon Saturate. Data was analyzed from Hydrocarbon, Iron, and Vanadium. These three variables are used to inform the discriminant function and classification process. The classification result obtained using the SPSS program, showed that the discriminant function is significant and with a validated test accuracy of 93.9 %.Keywords: Discriminant Analysis, Classification, Multivariate, Discriminant Function