PENERAPAN METODE SVM BERBASIS PSO UNTUK PENENTUAN KEBANGKRUTAN PERUSAHAAN

  • Hilda Amalia Manajemen Informatika AMIK BSI Jakarta
  • Ade Fitria Lestar Komputerisasi Akuntasi AMIK BSI Jakarta
  • Ari Puspita Teknik Informatika STMIK Antar Bangsa
DOI: https://doi.org/10.33480/techno.v14i2.196
Keywords: Support Vector Machine, PSO, Data Mining

Abstract

Kebangkutan merupakan sebuah kondisi dari ketidakmampuan suatu perusahan melakukan pengelolaan perusahaan.  Kebangkrutan berakibat sangat buruk bagi karyawan, perusahaan dan ekonomi nasional. Untuk itu diperlukan suatu prediksi model akurasi yang tepat. Dalam melakukan prediksi model akurasi terdapat beberapa motode yang bisa digunakan dari metode pendekatan ilmu akuntansi dan metode pendekatan ilmu komputer. Dalam ilmu komputer telah diketahui bahwa data mining merupakan metode yang biasa digunakan dalam segala bidang untuk melakukan penilaian nilai akurasi. Data mining memiliki banyak tugas dan fungsi salah satunya mampu menghasilkan prediksi dan clustering sehingga dapat diperoleh prediksi mengenai data keuangan dan dapat mencegah suatu perusahan dari kondisi kebangkrutan. Salah satu metode yang diketahui mampu menghasilkan nilai akurasi yang tinggi yaitu Support Vector Machine. Dalam penelitian ini akan dilakukan pengolahan data keuangan dengan menggunakan metode Support Vector Machine kemudian ditingkatan nilai akurasi dengan menggunakan metode optimasi yaitu PSO. Sehingga diperoleh nilai akurasi 99,6%

References

Prihanthini, N. M. E. D., & Sari, M. M. R. (2013). Prediksi Kebangkrutan Dengan Model Grover, Altman Z-Score, Springate Dan Zmijewski Pada Perusahaan Food And Beverage Di Bursa Efek Indonesia. E-Jurnal Akuntansi, 5(2), 417-435.

Setiadi. Ahmad, 2014, Data Mining Untuk Prediksi Kebangkrutan Perusahan, Seminar Nasional Inovasi dan Tren (SNIT) Hal A- 414 - A- 423.

Shukla, A., Tiwari, R., & Kala, R. (2010). Real Life Application of Soft Computing. Taylor and Francis Groups, LLC.

Santosa, Budi, 2007, “Data Mining Teknik Pemanfaatan Data untuk Keperluan Bisnis”, Graha Ilmu, Yogyakarta

Setiadi. Ahmad, 2014, Data Mining Untuk Prediksi Kebangkrutan Perusahan, Seminar Nasional Inovasi dan Tren (SNIT) Hal A- 414 - A- 423.

Shaw. J. Michael , Subramaniam. Chandrasekar, Tan. Woo. Gek, Welge. E. Michael,(2001), Knowledge management and data mining for marketing, Decision Support Systems 127–137, Elevier.

Shukla, A., Tiwari, R., & Kala, R. (2010). Real Life Application of Soft Computing. Taylor and Francis Groups, LLC.

Santosa, Budi, 2007, “Data Mining Teknik Pemanfaatan Data untuk Keperluan Bisnis”, Graha Ilmu, Yogyakarta

Vercellis,C (2009), “Business Intelligence : Data Mining and Optimization for Decision Making, Wiley
Published
2017-09-15
How to Cite
Amalia, H., Lestar, A., & Puspita, A. (2017). PENERAPAN METODE SVM BERBASIS PSO UNTUK PENENTUAN KEBANGKRUTAN PERUSAHAAN. Jurnal Techno Nusa Mandiri, 14(2), 131-136. https://doi.org/10.33480/techno.v14i2.196
Issue
Vol 14 No 2 (2017): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode September 2017
Section
Articles
Copyright (c) 2017 Hilda Amalia

The copyright of any article in the TECHNO Nusa Mandiri Journal is fully held by the author under the Creative Commons CC BY-NC license.

  1. The copyright in each article belongs to the author.
  2. Authors retain all their rights to published works, not limited to the rights set out on this page.
  3. The author acknowledges that Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri) is the first to publish with a Creative Commons Attribution 4.0 International license (CC BY-NC).
  4. Authors can enter articles separately, manage non-exclusive distribution, from manuscripts that have been published in this journal into another version (for example: sent to author affiliation respository, publication into books, etc.), by acknowledging that the manuscript was published for the first time in Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri);
  5. The author guarantees that the original article, written by the stated author, has never been published before, does not contain any statements that violate the law, does not violate the rights of others, is subject to the copyright which is exclusively held by the author.
  6. If an article was prepared jointly by more than one author, each author submitting the manuscript warrants that he has been authorized by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agrees to notify the co-authors of the terms of this policy. Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri) will not be held responsible for anything that may have occurred due to the author's internal disputes.