Analisis Multidimensional Profil Mahasiswa Studi Kasus : Program Studi Sistem Informasi UKDW

Authors

  • Agustinus Arsa Paskha A Program Studi Sistem Informasi, Universitas Kristen Duta Wacana
  • Yetli Oslan Program Studi Sistem Informasi, Universitas Kristen Duta Wacana
  • Lussy Ernawati Program Studi Sistem Informasi, Universitas Kristen Duta Wacana

DOI:

https://doi.org/10.21460/jutei.2022.61.202

Keywords:

Machine Learning, Support Vector Machine, klasifikasi, kategori mahasiswa

Abstract

In teaching and learning activities, analysis of students is needed. This is done to determine the proper way of learning. The right way of learning can increase the motivation of students. If the motivation of students increases, the academic value will also increase. One way that can be done is to classify students based on predetermined categories. The UKDW SI Study Program does not yet have a system that can classify the categories of students. This research was conducted to answer the above problems. Then machine learning will be built, which can automatically determine the categories of students. The method used to classify students is the Support Vector Machine (SVM). SVM has the advantage that it can be applied to cases that have high dimensions. The conclusion from this research is that the SVM method is very appropriate to be implemented in this study. This is evident in the machine learning model accuracy test on the system, which is 92.3%. With the existence of machine learning to classify students, teachers make it easier to do analysis. So that it is expected to provide an overview of the appropriate learning methods to be applied to students.

References

Binus. (n.d.). BAB 2KAJIAN PUSTAKA. Retrieved from Library Binus: http://library.binus.ac.id/eColls/eThesisdoc/Bab2HTML/2012100292IFBab2/body.html

FineReport. (2020, Maret 30). Apa Itu Visualisasi Data? Definisi, Pentingnya, Jenis, dan Software. Retrieved from FineReport: https://www.finereport.com/en/data-visualization/visualisasi-data.html

Hartono, T. (2020, Agustus). Entity Relationship Diagram (ERD): Apa dan Bagaimana Cara Membuatnya? Retrieved from dewaweb: https://www.dewaweb.com/blog/entity-relationship-diagram/

Herlambang, M. (2019, Febuari). Machine Learning: Support Vector Machines. Retrieved from epam international: https://www.megabagus.id/machine-learning-support-vector-machines/

Hutauruk, M. K. (n.d.). UML Diagram : Use Case Diagram. Retrieved from School Of Computer Science: https://socs.binus.ac.id/2019/11/26/uml-diagram-use-case-diagram/

Magridira, V. (2018, Febuary 5). Apa yang dimaksud dengan Entity Relationship Diagram ? Retrieved May 2020, from Dictio: https://www.dictio.id/t/apa-yang-dimaksud-dengan-entity-relationship-diagram/15135

Nugroho, A. S., Witarto, A. B., & Handoko, D. (2003). Support Vector Machine : Teori dan Aplikasinya dalam Bioinformatika.

Pickell, D. (2019, June). The Complete Guide to Machine Learning in 2020. Retrieved from Learning Hub.

Published

2022-04-30

How to Cite

[1]
A. Arsa Paskha A, Y. Oslan, and L. Ernawati, “Analisis Multidimensional Profil Mahasiswa Studi Kasus : Program Studi Sistem Informasi UKDW”, JUTEI, vol. 6, no. 1, pp. 1–10, Apr. 2022.