Identifikasi Faktor-Faktor yang Memengaruhi Indeks Prestasi Kumulatif (IPK) Menggunakan Regresi Logistik Biner dan Multinomial

Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/66617

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DC Field	Value	Language
dc.contributor.advisor	Sumarno, Hadi
dc.contributor.advisor	Budiarti, Retno
dc.contributor.author	Fitriany, Nur
dc.date.accessioned	2013-12-31T02:54:27Z
dc.date.available	2013-12-31T02:54:27Z
dc.date.issued	2013
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/66617
dc.description.abstract	Grade Point Average (GPA) is a measure of student academic achievement at a college education. The objective of this study is to identify factors that influence a student GPA of the Mathematics Department of IPB in generation 2009–2011 using binary and multinomial logistic regression. Based on binary logistic regression, the factor of student GPA is duration of study. Meanwhile based on multinomial logistic regression, the factors of student GPA are mother employment status, expenditure per month in addition to the cost of living and academic, and extra hours of study such as tutoring. This shows that student classification based on their GPA determines the conclusion	en
dc.language.iso	id
dc.title	Identifikasi Faktor-Faktor yang Memengaruhi Indeks Prestasi Kumulatif (IPK) Menggunakan Regresi Logistik Biner dan Multinomial	en
dc.subject.keyword	binary regression logistic	en
dc.subject.keyword	grade point average (GPA)	en
dc.subject.keyword	multinomial regression logistic.	en
Appears in Collections:	UT - Mathematics

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