Analisis Persepsi Kepuasan Mahasiswa Tentang Kualitas Pelayanan Administrasi Mahasiswa Dengan Metode Roughset
Analysis of Student Satisfaction Perceptions About the Quality of Student Administration Services Using the Roughset Method
Abstract
Abdurrab University in providing services in the form of administrative services (student administrative needs) to students, must be maximized because student satisfaction in student services is essential for the progress of the University and to improve the quality of the University. Student administration services such as services in correspondence and treasury needs. The student administration service division at Abdurrab University is BAAK, BAUK, and the Study Program, because this division is what students need during lectures. Computer science is applied with a rough set-based data mining method to see the perception of student satisfaction in the service of the administration section of some students from all Abdurrab University students. Perceiving student satisfaction, several statements are given in the form of variables that can affect student satisfaction for several students from all students on the services provided by the University. The results of the statements given to students are processed with data mining science with the rough set method and produce a rule that becomes a reference to see the perception of student satisfaction. The rule is generated from the reduct process (minimal attribute selection using the Prime Implicant Boolean function) and can be seen from the conclusions of student satisfaction with administrative services. The purpose of implementing the rough set is to know student satisfaction to find out errors and minimize errors in service to students. Benefits are known to student satisfaction with services so that the division of student services can improve and maximize services for the future.
References
Muhammad, Pengantar Ilmu Administrasi Negara, I. Lhokseumawe, 2019.
U. Abdurrab, “Universitas Abdurrab (UNIVRAB),” 2017. .
B. Ratna, “Pengertian Fakultas, Jurusan dan Program Studi (Prodi),” 15 Januari 2021, 2021. [Online]. Available: https://penerbitbukudeepublish.com/pengertian-fakultas/.
W. Yulianti and Salmidi, “Metode Rough Set Untuk Menganalisa Problematika Guru Dalam Menggunakan Media Pembelajaran Berbasis Komputer,” J. Teknol. dan Sist. Inf. Univrab, vol. 1, no. 1, pp. 19–25, 2016.
Nurhidayat, S. Defit, and Sumijan, “Data Mining Dalam Akurasi Tingkat Kelayakan Pakai Terhadap Peralatan Perangkat Keras,” J. Inf. dan Teknol., vol. 2, pp. 83–88, 2020.
M. Kierczak, “ROSETTA,” 12 Mei 2009, 2009. .
M. Jamaris, “Implementasi Metode Rough Set Untuk Menentukan Kelayakan Bantuan Dana Hibah Fasilitas Rumah Ibadah,” J. INOVTEK POLBENG, vol. 2, no. 2, 2017.
R. Marliani, “Analisis Tingkat Kemiskinan Dengan Menggunakan Rough Set,” J. Ris. dan Apl. Matemtika, vol. 5, no. 1, 2021.
Nurhayati, “Metode Rough Set Untuk Melihat Perilaku Suami Yang Menjadi Akseptor KB Vasektomi,” Inf. dan Teknol. Ilm., vol. 3, no. 2, pp. 94–99, 2014.
R. Buaton, 15 Metode Menyelesaikan Data Mining, Sistem Pakar dan Sistem Pendukung Keputusan. Medan, 2014.
M. R. Syahputra, “APLIKASI ROUGH SET UNTUK MEMPREDIKSI PRESTASI CALON ANGGOTA KELOMPOK PROGRAMMING (STUDI KASUS : STMIK PELITA NUSANTARA),” J. Mantik Penusa, vol. 17, no. 1, pp. 121–126, 2015.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
