A Polychoric Correlation to Identify the Principle Component in Classifying Single Tuition Fee Capabilities on the Students Socio-Economic Database

2nd Annual Applied Science and Engineering Conference

工业技术;自然科学

Yustanti, W.^1 ; Anistyasari, Y.^1

Informatics Engineering Department, Universitas Negeri Surabaya, Surabaya, Indonesia^1

关键词: Data collection;    Goodness-of-fit indices;    Predictor variables;    Principle component;    Public universities;    Socio-economic conditions;    Socio-economic data;    Socio-economics;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/288/1/012150/pdf
DOI  :  10.1088/1757-899X/288/1/012150

来源: IOP

【 摘 要 】

The government has issued the regulation number 55 of 2013 about the enactment of a single tuition fee based on the socio-economic conditions of each student. All public universities are required to implement this policy. Therefore, each university needs to create a formulation that can be used to categorize a student into which cost group. The results of the data collection found that the parameters used to determine the classification of tuition fees between one universities with another are different. In this research, taken a sampling of student data at one public university which is using 43 predictor variables and 8 categories of single tuition. The sample data used are socioeconomic data of students of 2016 and 2017 classes received through public university entrance selections. The results of this study reveal that from 43 variables, there are 16 variables which are the most significant in influencing single tuition category with goodness-of-fit index is 0.866. This value means that the proposed model can indicate student's ability to pay the tuition fee.