Prediksi Masa Studi Mahasiswa Menggunakan Metode Topsis Pada Program Studi Ilmu Komputer Universitas Nusa Cendana
Abstract
Graduation rates are considered as one of the parameters of the effectiveness of educational institutions. The period of student studies is an important issue that needs to be handled wisely by the Undana Computer Science department. Because graduation rates on time and not on time will affect the accreditation of majors, so we need a solution to be able to improve the problem of graduation on time. The solution that can help supervise and pay attention to active students in the 5th semester in order to graduate on time is to use a Decision Support System. Decision Support System can help predict the period of study of students with the TOPSIS method. The criteria used are Gender, Number of SKS that have been taken, Semester GPA, Cumulative Achievement Index and subsequent SKS Load. Sensitivity testing is done by adding a weight value of 0.5 and 1 to each criterion to get the results of criteria that are sensitive to changes in weights namely the GPA criterion of 3.92% change and subsequent SKS Load criteria of 3.92% change. The results of testing the sensitivity of criteria weights have an average percentage change in yield of 0.78%.
Downloads
References
Alamsyah, M.Nur, 2017. Implementasi Metode TOPSIS Dalam Memprediksi Tingkat Kelulusan Mahasiswa Di STMIK MURA, STMIK MURA Lubuklinggau.
Badan Akreditasi Nasional Perguruan Tinggi, 2008, Matriks Penilaian Instrumen Akreditasi Program Studi Sarjana, Jakarta.
Bahar, H., 2013. Prediksi Lulus Tepat Waktu dan Tidak Tepat Waktu Mahasiswa Menggunakan Algoritma K-Means, Universitas Dian Nuswantoro.
Desrizal, 2013. Panduan Lengkap PHP, Ajax, Jquery http://referensi.dosen
.narotama.ac.id/files/2011/12/Panduan-Lengkap-PHPAjax-jQuery.pdf
Desrizal., 2013. Javascript Guide, https://jawab-sch.blogspot.co.id/2016/09/pdf-modul- pembelajaran-javascript-karya.html.
Dewanto, 2015. Perancangan Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Kontrak Dengan Metode Simple Additive Weighting (Saw) Lampung.
Dewi, S., Abdillah, G., Komarudin, A., 2018.Sistem Pendukung Keputusan Pemilihan Sekolah Menengah Atas Boarding School di Jawa Barat Menggunakan TOPSIS. Universitas Jenderal Achmad Yani. Jawa Barat.
Dudung., 2016. Pengertian, komponen dan fungsi XAMPP lengkap dengan penjelasannya, www.dosenpendidikan.com/2016/Pengertian-komponen-dan-fungsi-XAMPP- lengkap-dengan-penjelasannya.html.
Fitriana, A. N., Harliana, Handaru, 2015. Sistem Pendukung Keputusan Untuk Menentukan Prestasi Akademik Siswa Dengan Metode TOPSIS, STIKOM Poltek Cirebon.
Jogiyanto, H., 2005. Analisis dan Desain Sistem Informasi, Andi Publisher, Yogyakarta.
Kadir, A., 1999. Pengenalan Sistem Informasi, Andi Offset, Yogyakarta. Kadir, A., 2002. Konsep Sistem Pendukung Keputusan, Edisi 1, Gava Media, Yogyakarta.
Kurniawan,E.,Mustafidah, H., Shofiyani, A., 2015. Metode TOPSIS Untuk Menentukan Penerimaan Mahasiswa Baru Pendidikan Dokter di Universitas Muhammadiyah Purwokerto, Universitas Muhammadiyah Purwokerto.
Kusumadewi, S., 2006. Fuzzy Multi-Attribute Decission Making, Graha Ilmu, Yogyakarta.
Leman., 1998. Metodologi Pengembangan Sistem Informasi, PT Elex Media Komputindo, Jakarta
Manurung, P., 2010. Sistem Pendukung Keputusan Seleksi Penerima Beasiswa Dengan Metode AHP dan TOPSIS (Studi Kasus: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sumatera Utara). Skripsi. FMIPA USU, Medan.
Prakoso, S Patra. 2013, Pengertian web browser beserta contohnya, https://patrasabang.blogspot.co.id/2013/11/pengertian_web_browser_beserta_contohn ya.html.
Rohman, Abdul. 2015. Model Algoritma K-Nearest Neighbor (K-NN) Untuk Memprediksi Kelulusan Mahasiswa,Universitas Pandanaran Semarang.
Turban. E.,Sharda,Delen. 2011. Decision Support and Business Intelligence Systems, ninth Edition, Person Education Inc, New Jersey.
Turban, E., &Arronson, J., 2005. Decision support System and Intelegent System, Pretince Hall, New Jersey.
Umar, 2015, pembuatan website dengan php, mysql, CSS dan Html, www.academia.edu/4636325/Pembuatan_website_dengan_php_mysql_CSS_dan_HT ML.
Wadu, Katiana. 2018, Implementasi Topsis pada sistem pendukung keputusan penentuan calon penerima BSPS. Universitas Nusa Cendana.
The author submitting the manuscript must understand and agree that if accepted for publication, authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.