BAREKENG: Jurnal Ilmu Matematika dan Terapan
Vol 1 No 2 (2007): BAREKENG : Jurnal Ilmu Matematika dan Terapan

ANALISIS DISKRIMINAN, REGRESI LOGISTIK, NEURAL NETWORK DAN MARS PADA PENGKLASIFIKASIAN DATA

Thomas Pentury (Jurusan Matematika FMIPA Universitas Pattimura)

Article Info

Publish Date
01 Dec 2007

Abstract

The purpose of this research is to apply and compare the discriminant analysis, logistic regression, Neural Network (NN) and Multivariate Adaptive Regression Spline (MARS) at HBAT and IRIS data. Next will be the classification of fourth methods using the SPSS statistical software, MINITAB, MARS, and R. The results showed that the data HBAT predictor variables affected to the response variable which is the quality of the product (X6), Complaint resolution (X9) and Salesforce image (X12), whereas all predictor variables on the IRIS data affect the response variable. A more precise method used in HBAT data classification is NN and discriminant analysis because the value of the resulting classification accuracy is greater, especially for testing. While a more precise method used in the IRIS data classification is discriminant analysis because the value of the resulting classification accuracy is greater

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Journal Info
BAREKENG: Jurnal Ilmu Matematika dan Terapan
Website

Abbrev

barekeng

Publisher

Universitas Pattimura

Subject

Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation

Description

BAREKENG: Jurnal ilmu Matematika dan Terapan is one of the scientific publication media, which publish the article related to the result of research or study in the field of Pure Mathematics and Applied Mathematics. Focus and scope of BAREKENG: Jurnal ilmu Matematika dan Terapan, as follows: - Pure ...