TY  - JOUR
SN  - 978-979-96880-8-8
ID  - UNY23633
A1  - Dimas Adiangga, .
A1  - Hari Wijayanto, .
A1  - Bagus Sartono, .
PB  - Faculty of Mathematics and Sciences Yogyakarta State University
N2  - A Child is defined as male or female under the age of 18 years unless under the law of maturity has been reached earlier. Based on data from the ILO, there were four million child labors in Indonesia in 2002. Jakarta as the capital city of Indonesia has a high economic growth in 2010 by reaching 6.51 percent (LKPJ 2010). Behind that growth, Jakarta has a problem of high number of child workers as well, which is about 93 571 children in 2010.
Some researchers often use regression analysis to determine the description of the factors that contribute to a response variable. Regression analysis has several assumptions that must be met, while research in the social subjects often violates those assumptions. To overcome this limitation required nonparametric method that is not tied to the assumption. One method is non-parametric regression Multivariate Adaptive Regression Spline (MARS). MARS method is an approach for nonparametric regression model that can accommodate multicollinearity in the model.
This study uses secondary data drawn from SUSENAS in 2013 in DKI Jakarta. Response variable used is the status of work in children aged 10-17 years, while the predictor variables are fifteen variables that represent the characteristics of children and household. Based on the results of processing with MARS, obtained models are affected by Status of Child?s Education, Child?s Education, Child Live with Parent, Education of Head of Household, and etc.
Key words:   child labor, MARS, SUSENAS, Jakarta
Y1  - 2015///
UR  - http://fmipa.uny.ac.id
AV  - public
TI  - MULTIVARIATE ADAPTIVE REGRESSION SPLINE (MARS) FOR MODELLING OF CHILD LABOR IN JAKARTA
JF  - Proceeding of  International Conference On Research, Implementation And Education  Of Mathematics And Sciences 2015 (ICRIEMS 2015), Yogyakarta State University, 17-19 May 2015
ER  -