Articles

Found 2 Documents
Search
Journal : PROSIDING SEMINAR NASIONAL

ANALISIS PENGARUH STATUS BEKERJA TERHADAP JENIS KELAMIN DAN UMUR DENGAN PENDEKATAN BINARY LOGISTIC REGRESSION Rizal, Syamsul; Nisa, Imaroh Izzatun; Darsyah, Moh. Yamin
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

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 LogisticRegression (BLR) approach. BLR is used for data whose response variable isdata consisting of two categories, with one predictor variable or more, bothcategorical and continuous. In determining the degree of workforce inIndonesia, one indicator that can be used is the status of working. Status workdefined 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 variablewith category 1 is still working, category 0 does not work, while the predictorvariables are education level (X1) and gender (X2). There are 2 variables thataffect the model of education variables (X1) and age (X2). The accuracyclassification is 87%. Keywords: Working Status, BLR,Classification
ANALISIS PENGARUH STATUS BEKERJA TERHADAP JENIS KELAMIN DAN UMUR DENGAN PENDEKATAN BINARY LOGISTIC REGRESSION Rizal, Syamsul; Nisa, Imaroh Izzatun; Darsyah, Moh. Yamin
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

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 LogisticRegression (BLR) approach. BLR is used for data whose response variable isdata consisting of two categories, with one predictor variable or more, bothcategorical and continuous. In determining the degree of workforce inIndonesia, one indicator that can be used is the status of working. Status workdefined 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 variablewith category 1 is still working, category 0 does not work, while the predictorvariables are education level (X1) and gender (X2). There are 2 variables thataffect the model of education variables (X1) and age (X2). The accuracyclassification is 87%. Keywords: Working Status, BLR,Classification