Pemetaan penerimaan mahasiswa baru Pendidikan Matematika Universitas PGRI Semarang dengan sebaran wilayah

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Muhtarom Muhtarom
Nizaruddin Nizaruddin
Yanuar Hery Murtianto

Abstract

The purpose of this study is to describe the mapping of new mathematics education students at the PGRI University of Semarang (UPGRIS) in 2017 - 2019 based on the distribution of regions and school origins. The test uses a descriptive method, namely explaining and describing an object with existing facts. The research data was sourced from the UPGRIS PMB Bureau and UPT TIK UPGRIS, namely registrants at FPMIPATI, PGRI University Semarang from 2017 to 2019. Based on the mapping of the region of origin of prospective students, it was found that the applicant base for the Mathematics Education Study Program was Semarang City, Demak Regency, Pati Regency, Grobogan Regency, Rembang Regency, Blora Regency, Jepara Regency, Kendal Regency, and Pemalang Regency.

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How to Cite
Muhtarom, M., Nizaruddin, N., & Murtianto, Y. H. (2020). Pemetaan penerimaan mahasiswa baru Pendidikan Matematika Universitas PGRI Semarang dengan sebaran wilayah. Jurnal Kualita Pendidikan, 1(3), 57-62. https://doi.org/10.51651/jkp.v1i3.9
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References

Dian M, et al. (2014). Penemuan Pola Penerimaan Dan Kelulusan Mahasiswa S1 Fakultas Ekonomi Dan Bisnis Universitas Brawijaya Dengan Menggunakan Algoritma Fp-Growth. Jurnal Mahasiswa PTIIK UB, 3 (12). Universitas Brawijaya, Malang

Han, J., Jian, P, & Micheline, K. (2011). Data mining: concepts and techniques. Elsevier.

Kurniawati, A. (2014). Pemetaan Pola Hubungan Program Studi Dengan Algoritma Apriori–Studi Kasus SPMU Unnes. Edu Komputika Journal, 1.

Kusrini. (2007). Penerapan Algoritma Apriori pada Data Mining untuk Mengelompokkan Barang Berdasarkan Kecenderungan Kemunculan Bersama dalam Satu Transaksi, http://dosen.amikom.ac.id/.../Publikasi%20Apriori-Kusrini_Feb-13_.pdf, diakses 26 September 2019.

Kusrini, & Emha, T. L. (2009). Algoritma Data Mining. Yogyakarta: Andi.

Kuswari, H., Insani, N, & Sumarno, B. (2014). Application Of Association Rules With Apriori Algorithm To Determine The Pattern Of The Relationship Between SBMPTN Database And Student's Grade Point Average. International Seminar on Innovation in Mathematics and Mathematics Education. Departement of Mathematics Education Faculty of Mathematics and Natural Science Yogyakarta State University.

Larose, Daniel T. (2006). Data Mining Methodes and Models, John Wiley & Sons, Inc.

Miranda, E., & Eli, S. (2014). Implementation of datawarehouse, datamining and dashboard for higher education." Journal of Theoretical & Applied Information Technology, 64 (3).

Noratita B., & Bactiar, N. (2010). Implementasi Data Mining Untuk Menemukan Pola Hubungan Tingkat Kelulusan Mahasiswa Dengan Data Induk Mahasiswa. Seminar Nasional Vocational Education in IT Polytecnic; Competitive Advantage in ICT. JIT Telkomuniversity, Bandung.

Ranjan, J. (2007). Application of Data Mining Technique in Pharmaceutical Industry, Journal of Theoritical and Applied Information Technology, 3, 61 – 67.

Remco, R. B. (2011). Weka Manual 3-6-5, Software manual. GNU General Public License V. 2.

Rumaisa, F. (2012). Penentuan Association Rule Pada Pemilihan Program Studi Calon Mahasiswa Baru Menggunakan Algoritma Apriori Studi Kasus Pada Universitas Widyatama Bandung. Seminar Nasional Aplikasi Teknologi Informasi, Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia, Yogyakarta.