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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Teknik Komputer AMIK BSI JURNAL TEKNOLOGI DAN OPEN SOURCE Informatika : Jurnal Informatika, Manajemen dan Komputer Building of Informatics, Technology and Science Jurnal Mantik Zonasi: Jurnal Sistem Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) INFOKUM Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Nuansa Akademik: Jurnal Pembangunan Masyarakat Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Perencanaan, Sains dan Teknologi (Jupersatek) Prosiding Seminar Nasional Hasil Penelitian dan Pengabdian Kepada Masyarakat INOVTEK Polbeng - Seri Informatika
Helpi Nopriandi
Universitas Islam Kuantan Singingi
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Journal : journal of information system research josh

 1 
Analisis Klasterisasi Mahasiswa Baru dalam Memilih Program Studi dengan Menggunakan Algoritma K-Means Helpi Nopriandi; Febri Haswan
Journal of Information System Research (JOSH) Vol 3 No 4 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (380.628 KB) | DOI: 10.47065/josh.v3i4.1986

Abstract

Kuantan Singingi Islamic University is a private university located in Riau Province with a population of 345,850 people. Kuantan Singingi Islamic University has 12 Study Programs with 1700 active students, from 2013-2021 the number of new students at Kuantan Singingi Islamic University there was an increase and decrease in new students, a significant decrease in the number of new students occurred in 2019 and 2020, The decrease in the number of new students makes several study programs have a ratio of lecturers to students that is not comparable and can harm the institution, by clustering new students in choosing the desired study program. the goal is as a material consideration for leaders to determine strategies in increasing the number of students in the future. The K-Means algorithm is one of the algorithms in data mining that can be used to cluster data, by grouping the data, it can be seen that the number of students in each study program increases or decreases, from these results can be used as evaluation material by the leadership for an increase in new students in each study program so that study programs that have a disproportionate ratio of lecturers to students are in line with what is expected, the ideal ratio of lecturers and students according to the 2012 higher education law is 1:20 for exact sciences and 1 :30 for Social Science.
Co-Authors Agung Apri Denta Ahmad Mualif Al-Hafiz, Nofri Wandi Ali Mustakim Apri Denta, Agung Aprizal Aprizal Aprizal Aprizal Aprizal Aprizal Aprizal Aprizal Baehaqi Chairani, Sri Elgamar Elgamar Syam ERLINDA Erlinda Erlinda Erlinda Erlinda Erlinda Erlinda Erlinda Fajar Restuadi FEBRI HASWAN Gunardi Hamzah Harianja Harianja Harianja Harianja Harianja Harianja Harianja Harianja, Harianja Jasri Jasri . Jasri Jasri Jasri, Jasri M Hasyim Siregar M. Hasim Siregar M. Hasim Siregar M. Yusfahmi Mardwi Hendri Morine Delya Octa Mualif, Ahmad Muhammad Hasim Siregar Mutia Nurahna Liza Rabby Nazli Restuadi, Fajar Siregar, M Hasyim Siregar, M. Hasim Sri Chairani Sri Chairani Wilma Tiana