eprintid: 33307
rev_number: 18
eprint_status: archive
userid: 1636
dir: disk0/00/03/33/07
datestamp: 2024-02-20 06:53:49
lastmod: 2024-02-20 06:53:49
status_changed: 2024-02-20 06:53:49
type: article
metadata_visibility: show
creators_name: Hasan, Firman Noor
creators_id: firman.noorhasan@uhamka.ac.id
creators_orcid: 0000-0002-1246-3462
title: (SISFOKOM - S3) - Putri, Febriawan, Hasan [2024-02-15]
ispublished: pub
subjects: T1
divisions: 55201
abstract: Graduating on time is what every student wants to accomplish in college. Students of Prof. Dr. Hamka Muhammadiyah University are one of those who have this dream. Based on 2020 graduates data from the Tracer Study, 60% said the university had a high enough impact  on improving competence.  This data indicates that university needs to evaluate improvement of academic quality. Often, students have difficulty finding information about important factors that support achieving timely graduation. A prediction analysis is needed to provide information about the student's graduation study period. For this analysis, data mining is implemented using the classification function of the decision tree (C4.5) algorithm with RapidMiner tools. The methodology for implementing data mining follows the stages of Knowledge Discovery In Database (KDD), beginning with data collection, preprocessing, transformation, data mining, and evaluation. The research findings consist of visualization and decision tree rules that reveal GPA as the most influential factor in determining a student's study period.There is other information, namely, students graduated on time (less than equal to 4 years) amounted to 170 or 54.5% and students did not graduate on time (more than 4 years) amounted to 142 or 45.6%. Testing the performance of decision tree (C4.5) utilizing confusion matrix through RapidMiner tools, resulted in accuracy reaching 83.87%, with precision of 87.50% and recall of 91.18%. Provides evidence that the decision tree algorithm (C4.5) has optimal performance to provide valuable information about predicting student graduation in order to increase student enrollment with the right study period.
date: 2024-02-15
date_type: published
publisher: Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) ISB Atma Luhur
official_url: https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/1943
id_number: https://doi.org/10.32736/sisfokom.v13i1.1943
full_text_status: public
publication: SISFOKOM: Sistem Informasi dan Komputer)
volume: 13
number: 1
pagerange: 39-47
refereed: TRUE
issn: 2581-0588
related_url_url: https://jurnal.atmaluhur.ac.id/index.php/sisfokom/index
related_url_type: pub
citation:   Hasan, Firman Noor  (2024) (SISFOKOM - S3) - Putri, Febriawan, Hasan [2024-02-15].  SISFOKOM: Sistem Informasi dan Komputer), 13 (1).  pp. 39-47.  ISSN 2581-0588     
document_url: http://repository.uhamka.ac.id/id/eprint/33307/3/1.%20%20Cover.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/33307/1/2.%20%20Editorial%20Team.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/33307/6/3.%20%20Daftar%20Isi.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/33307/4/4.%20%20Artikel.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/33307/2/5.%20%20Bukti%20Hasil%20Turnitin.pdf
document_url: http://repository.uhamka.ac.id/id/eprint/33307/5/6.%20%20LOA%20-%20Putri%2C%20Febriawan%2C%20Hasan.pdf