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All Journal Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) JOHME: Journal of Holistic Mathematics Education JPMI (Jurnal Pendidikan Matematika Indonesia) Building of Informatics, Technology and Science JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) AL ULYA: JURNAL PENDIDIKAN ISLAM Journal of Medives: Journal of Mathematics Education IKIP Veteran Semarang Jurnal Sistem Informasi dan Informatika Galois : Jurnal Penelitian Pendidikan Matematika
Sulistya Umie Ruhmana Sari, Sulistya Umie Ruhmana
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Religion Arts Humanities Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Social Sciences Other

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Journal : Building of Informatics, Technology and Science

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Penerapan Metode Principal Component Analysis (PCA) Untuk Identifikasi Faktor-Faktor yang Mempengaruhi Sikap Mahasiswa Memilih Melanjutkan Studi ke Kota Malang Badri, Fawaidul; Sari, Sulistya Umie Ruhmana
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.723 KB) | DOI: 10.47065/bits.v3i3.1139

Abstract

The future of a nation depends on how good the quality of education and human resources of the nation is. Higher education is an important part of the world of education that carries the responsibility in an effort to educate the nation's life. This study aims to determine the factors that influence student attitudes in choosing to continue their studies at Islamic Higher Education (PTAI). The background of this research is that there is a significant gap between PTN and PTAI enthusiasts and the lack of student interest in Islamic tertiary institutions is very interesting to be used as research study material to find out things that are considered by students in choosing PTAI. The results of the study indicate that the data used have met the assumption test of validity, reliability, adequacy and feasibility of the data so that it can be continued in the next analysis using factor analysis using PCA. All the variables contained in this study have an extraction value of more than 50%, so it can be concluded that all the variables used can explain these factors. In the "% of variance" column, because the specified eigenvalues ​​is 1, then the value to be taken has eigenvalues ​​greater than 1, there are component 1, component 2, component 3, component 4, and component 5. If you use 5 components then the total factors that can explain the variance are 20.011% + 19.692% + 15.935% + 14.632% + 10.745% = 81.015%
Co-Authors Afidatuzzaro, Nurul Ali Kadarisman Arifa, Laily Nur Dimas Femy Sasongko Dujjah, Nurul Ilmi Badrun Fawaidul Badri Imam Sujarwo Jadidah, Nur Aulia Nuril Huda Shidqi Ahyani Ulum, Achmad Miftachul