Open AccessPENGGUNAAN ANALISIS DISKRIMINAN UNTUK KLASIFIKASI SUBPOPULASI BATU PASIR BERDASARKAN KANDUNGAN MINYAK MENTAH
Author(s) -
Teguh Yuniarko,
Ismi Zuriyatie
Publication year - 2020
Publication title -
sainstech/sainstech: jurnal penelitian dan pengkajian sains dan teknologi
Language(s) - English
Resource type - Journals
eISSN - 2685-824X
pISSN - 1410-7104
DOI - 10.37277/stch.v22i2.613
Subject(s) - linear discriminant analysis , discriminant function analysis , mathematics , hydrocarbon , chemistry , statistics , organic chemistry
The application of discriminant analysis of crude oil content in two populations of sand stone is todetermine the independent variables that could significantly differiantiate between a rock that contains fivevariables, namely crude oil Vanadium, Iron, Beryllium, Hydrocarbon, and Aromatic Hydrocarbon Saturade. Theanalys of data from five independent variables, the variables that can distuingish between the two populations isvariable Saturade sand stone Hydrocarbon, Iron, and Vanadium. Therefore, these three variables used informingthe discriminant function and classification process. The classification result using the SPSS program showed thatthe discriminant function is significant and validation of the discriminant function obtained test classificationaccuracy of 93,9 %.