SISTEM REKOMENDASI PENENTUAN JUDUL SKRIPSI MENGGUNAKAN ALGORITMA DECISION TREE

Authors

  • A Sofalul Khazari Universitas Widyagama Malang
  • Fitri Marisa Universitas Widyagama Malang
  • Indra Dharma Wijaya Universitas Widyagama Malang

DOI:

https://doi.org/10.26905/jtmi.v3i1.1248

Keywords:

data mining, decision tree, ID3

Abstract

One of the requirements to obtain a Bachelor's degree, a student must make a thesis. Thesis is a scientific work that is used as a good condition in Private Universities (PTS) and State Universities (PTN) in Indonesia. In the thesis, students are required to apply science according to the field of science that has been pursued. However, the reality of existing students are still confused in determining the title or field that will be discussed in the thesis. Therefore, the authors try to make a recommendation system of thesis title determination that can help students Informatics Engineering University of Widyagama Malang to determine the title of the thesis in accordance with the capabilities and standards determined by the department. With the method of Decision tree using ID3 algorithm, it is expected this system can help students to not difficulty in determining the title of the thesis.

 

DOI: https://doi.org/10.26905/jtmi.v3i1.1248

References

Huda, M., 2011. Perkembangan Keilmuan di STAIN Ponorogo. Jurnal Dialogia, p.111. http://jurnal.stainponorogo.ac.id/index.php/justicia/article/download/100/82

Zaki, M.J. & JR., W.M., 2014. Data Mining and Analysis. 1st ed. New York: Cambridge University Press.

Acmad, B.D.M. & Slamat, F., 2012. Klasifikasi Data Karyawan Untuk Menentukan Jadwal Kerja. Jurnal IPTEK, 16 No.1. http://jurnal.itats.ac.id/klasifikasi-data-karyawan-untuk-menentukan-jadwal-kerja-menggunakan-metode-decision-tree/

Han, J. & Kamber, M., 2006. Data Mining Concepts and Techniques. 2nd ed. USA: Elsevier.

Defiyanti, S. & Pardede, C., 2010. Perbandingan Kinerja Algoritma ID3 dan C4.5 dalam Klasifikasi Spam-Mail. Proceeding Seminar Ilmiah Nasional Komputer dan Sistem Intelijen (KOMMIT 2010), (ISSN: 1411-6286). http://repository.gunadarma.ac.id/964/

Downloads

Published

2017-05-01

Issue

Vol. 3 No. 1 (2017): Mei 2017

Section

Articles

License

Authors who publish with this journal agree to the following terms:

(1) Copyright of the published articles will be transferred to the journal as the publisher of the manuscripts. Therefore, the author confirms that the copyright has been managed by the journal.

(2) Publisher of JTMI: Jurnal Teknologi dan Manajemen Informatika is University of Merdeka Malang.

(3) The copyright follows Creative Commons Attribution–ShareAlike License (CC BY SA): This license allows to Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material, for any purpose, even commercially.