PENGEMBANGAN SISTEM EVALUASI AKADEMIK BERDASARKAN PREDIKAT NILAI INDEKS PRESTASI MAHASISWA
Abstract views: 687
,
PDF downloads: 582
Keywords:
predikat nilai indeks prestasi, prestasi hasil studi, naive bayes
Abstract
Prestasi mahasiswa secara akademik terdapat pada nilai hasil studi tiap akhir semester. Hasil studi menampilkan predikat nilai sesuai indeks prestasi kumulatif. Adapun predikat nilai prestasi mahasiswa mulai tertinggi antara lain cumlaude, sangat memuaskan dan memuaskan. Banyaknya mahasiswa yang lulus terlambat dari aturan pedoman akademik maka perlu dilakukan pengembangan sistem berbasis komputer untuk mengevaluasi prestasi mahasiswa. Penelitian ini bertujuan agar mengetahui hasil perkiraan masa studi mahasiswa sesuai dengan pedoman akademik universitas atau terlambat berdasarkan predikat nilai indeks prestasi mahasiswa. Metode yang digunakan pada penelitian ini adalah naïve bayes dengan menghasilkan status kelulusan sesuai dan terlambat. Penelitian ini menunjukkan akurasi sebesar 70% dengan membandingkan hasil perhitungan sistem dengan data yudisium pada kenyataan.
Downloads
Download data is not yet available.
Published
2018-11-01
How to Cite
[1]
I. N. Farida and M. Maulidina, “PENGEMBANGAN SISTEM EVALUASI AKADEMIK BERDASARKAN PREDIKAT NILAI INDEKS PRESTASI MAHASISWA”, antivirus, vol. 12, no. 2, Nov. 2018.
Section
Articles
Copyright (c) 2018 Antivirus : Jurnal Ilmiah Teknik Informatika
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement 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 acknowledgement 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.
- The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License
