Perpustakaan Fakultas Ilmu Komputer

Call Number	SEM- 372
Collection Type	Indeks Artikel prosiding/Sem
Title	Determining student's single tuition fee category using correlation based feature selection and support vector machibe (hal 172-176)
Author	W Yustanti, Y Anistyasari, Elly Matul Imah;
Publisher	Icacsis 2017 international conference on advanced computer science and information systems october 28-29 th, 2017 Jakarta, Indonesia
Subject	single tuition fee; confirmatory factor analysis; ordinal data; structural equation modelling, sosio economy status
Location

Lokasi : Perpustakaan Fakultas Ilmu Komputer

Nomor Panggil	ID Koleksi	Status
SEM- 372		TERSEDIA

Tidak ada review pada koleksi ini: 47070

The government has issued the regulation about the enactment of a single tuition fee based on the socio-economic conditions of each student since 2013. All public university needs to create a formulation that can be used to categorize astudent into which cost group. The result 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 in sampling of student data at one public university database. Before classifying, the atribute of dataset was selected using correlation based feature selection (CFS. The classifier hath has been used in this study is support vector machine (SVM).