PENERAPAN JARINGAN SYARAF TIRUAN UNTUK MENGUKUR TINGKAT KORELASI ANTARA NEM DENGAN IPK KELULUSAN MAHASISWA
Abstract: Currently, the
Informatics Engineering undergraduate program of University of X (PSTI-X) uses
the SLTA's EBTANAS Score (NEM) for admission selection criteria, especially for
those coming who apply through fellowships. Due to the fact that the high score
of NEM does not guarantee a graduate with high academic achievement, thus this
study is intended to test the correlation between the composition of the high
school's NEM with the grade point average of PSTI-X graduate using artificial
neural network with feed-forward back propagation approach (JST-PB). It is
expected to be used as a guideline for determining the composition of the
SLTA's NEM score in the selection of new admissions, particularly via the
fellowship. The results showed that JST-PB only has 64% success rate in the
mapping of NEM composition and academic achievement of graduates. These results
reinforce the results of previous studies using correlation analysis and
multiple linear regressions that NEM could not be used as an absolute reference
in the new admission selection system. The result of this study provides
recommendations that PSTI-X needs to review new admissions system, particularly
those through the fellowship.
Penulis: Yeni Nuraeni
Kode Jurnal: jptkomputerdd090045
