KLASIFIKASI STATUS GIZI BALITA DENGAN BAGGING REGRESI LOGISTIK ORDINAL (STUDI KASUS SURVEY KEKURANGAN ENERGI PROTEIN KABUPATEN NGANJUK)

Sjahid Akbar, Muhammad and Mukarromah, Adatul and Paramita, Lalita (2010) KLASIFIKASI STATUS GIZI BALITA DENGAN BAGGING REGRESI LOGISTIK ORDINAL (STUDI KASUS SURVEY KEKURANGAN ENERGI PROTEIN KABUPATEN NGANJUK). Media Statistika, 3 (2). pp. 103-116. ISSN 1979-3693

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Abstract

In Indonesia, generally the nutrition status value standart use World Health Organization-National Centre for Health Statistics (WHO-NCHS) which written in go healthy card. The method apply computing z-score for indicator by weight body against age. The research objective could get ordinal logistic regression bagging on cluster child nutrient status whereas nutrient status standart WHO-NCHS. The cluster child nutrition status gotten by cluster analysis method, meanwhile classification function gotten by ordinal logistic regression logit models. The biggest decision result of cluster nutrition status bagging by bootstrap replication 60 times is 76,3%, which capable to decrease classification fail through 22%. Nevertheless, the bagging of WHO-NCHS child nutrition status classification can raise classification decision of one data set model from 75,9% to 76,6%. Keywords: Child Nutrition Status, Bagging, Ordinal Logistic Regression

Item Type:Article
Subjects:Q Science > Q Science (General)
Divisions:Faculty of Science and Mathematics > Department of Statistics
ID Code:32839
Deposited By:Mr Hasbi Yasin
Deposited On:02 Feb 2012 12:33
Last Modified:06 Feb 2012 10:08

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