TY - JOUR
T1 - Estimation of Biresponse Multipredictor Model using Local Linear Estimator in Case of Scholastic Aptitude and Islamic Tests Modeling
AU - Nidhomuddin,
AU - Chamidah, N.
AU - Kurniawan, A.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/2/24
Y1 - 2021/2/24
N2 - Scholastic aptitude test (SAT) and Islamic test are tests that used by state Islamic colleges (SIC) in Indonesia to select new students on the admission test. Both of them are taken from the same subjects, so they are correlated each other. The behavior patterns of both test scores are change because they were observed from 2016 to 2018. In that period, SAT and Islamic test scores of SIC in western Indonesia are higher than those in eastern Indonesia. So the locally modeling is appropriate for this case. There is a significant correlation between both of the tests then they can be modeled simultaneously by using biresponse nonparametric model. In this research, estimating parameter of biresponse multipredictor nonparametric regression model by using weighted least square method. The results show that in average, the increasing public senior high schools percentage and first choice percentage would increase the SAT scores and Islamic test scores of SIC in western Indonesia. Otherwise, in eastern Indonesia the increasing public senior high school percentage and first choice percentage would decrease the SAT scores and Islamic test scores. It means that there are different patterns of SAT and Islamic test scores between western Indonesia and eastern Indonesia.
AB - Scholastic aptitude test (SAT) and Islamic test are tests that used by state Islamic colleges (SIC) in Indonesia to select new students on the admission test. Both of them are taken from the same subjects, so they are correlated each other. The behavior patterns of both test scores are change because they were observed from 2016 to 2018. In that period, SAT and Islamic test scores of SIC in western Indonesia are higher than those in eastern Indonesia. So the locally modeling is appropriate for this case. There is a significant correlation between both of the tests then they can be modeled simultaneously by using biresponse nonparametric model. In this research, estimating parameter of biresponse multipredictor nonparametric regression model by using weighted least square method. The results show that in average, the increasing public senior high schools percentage and first choice percentage would increase the SAT scores and Islamic test scores of SIC in western Indonesia. Otherwise, in eastern Indonesia the increasing public senior high school percentage and first choice percentage would decrease the SAT scores and Islamic test scores. It means that there are different patterns of SAT and Islamic test scores between western Indonesia and eastern Indonesia.
UR - http://www.scopus.com/inward/record.url?scp=85102367304&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1764/1/012076
DO - 10.1088/1742-6596/1764/1/012076
M3 - Conference article
AN - SCOPUS:85102367304
SN - 1742-6588
VL - 1764
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012076
T2 - 1st Paris Van Java International Seminar on Computer, Science, Engineering, and Technology, PVJ ISComSET 2020
Y2 - 15 July 2020 through 16 July 2020
ER -