PERBANDINGAN ANALISIS DISKRIMINAN DAN REGRESI LOGISTIK UNTUK MENGKLASIFIKASIKAN KELAYAKAN VISITASI PELAMAR BIDIKMISI

Abstract

The purpose of this study is to compare discriminant analysis and logistic regression to classify the feasibility of the Bidikmisi applicant's visitation based on the classification accuracy. The results showed that the assumptions of homogeneity covariance matricies between the groups are unequal, The significant independent variable is the combined amount of parental income , parents income divided by the number of family dependents , and electricity bills , and then the results of the classification of validation data from the logistic regression analysis of 98,21% higher than the discriminant analysis of 94,64%.

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Author Biographies

NISA HIDAYATI, Udayana University

Program Studi Matematika, Fakultas MIPA – Universitas Udayana

I KOMANG GDE SUKARSA, Udayana University

Program Studi Matematika, Fakultas MIPA – Universitas Udayana

DESAK PUTU EKA NILAKUSMAWATI, Udayana University

Program Studi Matematika, Fakultas MIPA – Universitas Udayana

Published
2020-01-31
How to Cite
HIDAYATI, NISA; SUKARSA, I KOMANG GDE; NILAKUSMAWATI, DESAK PUTU EKA. PERBANDINGAN ANALISIS DISKRIMINAN DAN REGRESI LOGISTIK UNTUK MENGKLASIFIKASIKAN KELAYAKAN VISITASI PELAMAR BIDIKMISI. E-Jurnal Matematika, [S.l.], v. 9, n. 1, p. 14-22, jan. 2020. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/57149>. Date accessed: 08 dec. 2022. doi: https://doi.org/10.24843/MTK.2020.v09.i01.p273.
Section
Articles

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