PENDETEKSIAN JENIS DAN KELAS AROMA DENGAN MENGGUNAKAN METODE ONE-VS-ONE DAN METODE ONE-VS-REST

Authors

Zuherman Rustam, Departemen Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Indonesia, Depok 16424, Indonesia.Laboratorium Komputasi Intelejensia, Universitas Indonesia, Depok 16424, IndonesiaFollow
Benyamin Kusumoputro, Fakultas Ilmu Komputer, Universitas Indonesia, Depok 16424, Indonesia. Laboratorium Komputasi Intelejensia, Universitas Indonesia, Depok 16424, IndonesiaFollow
Belawati Widjaja, Departemen Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Indonesia, Depok 16424, Indonesia. Fakultas Ilmu Komputer, Universitas Indonesia, Depok 16424, Indonesia

Abstract

Aroma classification using one-vs-one and one-vs-rest methods. Computational Intelligence used in pattern classification problem can be divided into two different parts, one based on Neural Network and the other based on Statistical Learning. The Statistical Learning discovered by Vapnik on 70-est decade. For the pattern classification, Vapnik developed hyperplane optimal separation, which is known as Support Vector Machines Method (SVM). In the beginning, SVM was designed only to solve binary classification problem, where data existing are classified into two classes. To classify data whose consist of more than two classes, the SVM method can not directly be used. There are several methods can be used to solve SVM multiclasses classification problem, they are One-vs-One Method and One-vs-Rest Method. Both of this methods are the extension of SVM binary classification, they will be discussed in this article so that we can see their performance in aroma classification process. Data of aroma used in this experiment is consisted of three classes of aroma, each of them has six classes. The division of this class is based on alcohol concentration mixed into each of those aromas. For example, for aroma A, there are six kinds of aroma A with different alcohol concentration: 0%, 15%, 25%, 30%, 45% and 75%. The performance of these methods is measured based on their ability to recognize and classify aroma, precisely and match with the right class or variety of data existed.

References

[1] V.N. Vapnik, The Nature of Statistical Learning, Springer-Verlag, Berlin, 1999. [2] B. Kusumoputro, Z. Rustam, B. Widjaja, Modifikasi Kernel PCA pada Klasifikasi Aroma Multikelas, Lab. Komputasi Intelejensia, Universitas Indonesia, Jakarta, 2003. [3] B. Kusumoputro, Harry, W. Jatmiko, ISA Transactions 41 (2002) 395. [4] B. Kusumoputro, Herry, SNKK III, Jakarta, 2002. [5] W. Jatmiko, B. Kusumoputro, Jurnal Ilmu Komputasi dan Teknologi Informasi 1 (2001) 15. [6] W. Jatmiko, B. Kusumoputro, 2001, Jurnal Ilmu Komputasi dan Teknologi Informasi 1 (2001) 21

Recommended Citation

Rustam, Zuherman; Kusumoputro, Benyamin; and Widjaja, Belawati (2003) "PENDETEKSIAN JENIS DAN KELAS AROMA DENGAN MENGGUNAKAN METODE ONE-VS-ONE DAN METODE ONE-VS-REST," Makara Journal of Science: Vol. 7: Iss. 3, Article 11.
Available at: https://scholarhub.ui.ac.id/science/vol7/iss3/11