ANALISIS PENGARUH STATUS BEKERJA TERHADAP JENIS KELAMIN DAN UMUR DENGAN PENDEKATAN BINARY LOGISTIC REGRESSION

Syamsul Rizal, Imaroh Izzatun Nisa, Moh. Yamin Darsyah

Abstract


One of method of Data Analysis Category used to determine the effect of the
relationship with the response variable of type nominal is using Binary Logistic
Regression (BLR) approach. BLR is used for data whose response variable is
data consisting of two categories, with one predictor variable or more, both
categorical and continuous. In determining the degree of workforce in
Indonesia, one indicator that can be used is the status of working. Status work
defined into two, namely the status is still working and the status does not work.
Variabel used in this study is the working status ( Y) as the response variable
with category 1 is still working, category 0 does not work, while the predictor
variables are education level (X1) and gender (X2). There are 2 variables that
affect the model of education variables (X1) and age (X2). The accuracy
classification is 87%.
Keywords: Working Status, BLR,Classification

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