AYU CITRA MAYASARI, 100941029 (2011) PEMODELAN TES KESEHATAN DAN TES FISIK BIDANG OLAHRAGA DENGAN PENDEKATAN MULTIVARIATE ADAPTIVE REGRESSION SPLINE. Thesis thesis, UNIVERSITAS AIRLANGGA.

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Abstract

MARS is one method of analysis procedures that are widely used in data mining program package. Data mining is a set of processes to explore the added value of a data set which amounts to a large or complex that has not been known to exist in manual and potentially useful. Modeling with MARS is expected to guess / choose candidates who fit and healthy students majoring in physical education health and recreation in physical and health tests through the National Selection State University (SNMPTN), because subjects in the faculty of sports science more practice field with a variety of sports, which certainly require a student who physically fit and healthy. Based on the results of the analysis has been done, then get the six predictor variables that influence the response variable and sorted starting from the predictor variable interest rate that is Pull Up (X5), Running 50m/60m (X4), Vertical Jump (X7), Running 1000m (X8 ), Weight (X2), Height (X1). The six variables that contribute to graduate students include variables Pull Up (X5) is the most important variables in the MARS model with interest rate 100%, followed by a variable Lari 50/60m (X4) with a 55.051% interest rate, variable Vertical Jump (X7 ) with a 42.314% interest rate, variable Running 1000/1200m (X8) with a 26.626% interest rate, variable weight (X2) with a 20.253% interest rate and a variable height (X1) with a 15.258% interest rate.

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