PERBANDINGAN DISKRIMINAN KUADRATIK KLASIK DAN DISKRIMINAN KUADRATIK ROBUST PADA KASUS PENGKLASIFIKASIAN PEMINATAN PESERTA DIDIK (Studi Kasus di SMA Negeri 1 Kendal Tahun Ajaran 2014/2015)

Laili Isna Nur Khiqmah; Moch. Abdul Mukid; Alan Prahutama

doi:10.14710/j.gauss.4.2.295 - 304

DOI: https://doi.org/10.14710/j.gauss.4.2.295%20-%20304

PERBANDINGAN DISKRIMINAN KUADRATIK KLASIK DAN DISKRIMINAN KUADRATIK ROBUST PADA KASUS PENGKLASIFIKASIAN PEMINATAN PESERTA DIDIK (Studi Kasus di SMA Negeri 1 Kendal Tahun Ajaran 2014/2015)

*Laili Isna Nur Khiqmah -

Moch. Abdul Mukid -

Alan Prahutama -

How to cite (IEEE): L. I. N. Khiqmah, M. A. Mukid, and A. Prahutama, "PERBANDINGAN DISKRIMINAN KUADRATIK KLASIK DAN DISKRIMINAN KUADRATIK ROBUST PADA KASUS PENGKLASIFIKASIAN PEMINATAN PESERTA DIDIK (Studi Kasus di SMA Negeri 1 Kendal Tahun Ajaran 2014/2015)," Jurnal Gaussian, vol. 4, no. 2, pp. 295 - 304, Apr. 2015. https://doi.org/10.14710/j.gauss.4.2.295 - 304

How to cite (APA): Khiqmah, L. I. N., Mukid, M. A., & Prahutama, A. (2015). PERBANDINGAN DISKRIMINAN KUADRATIK KLASIK DAN DISKRIMINAN KUADRATIK ROBUST PADA KASUS PENGKLASIFIKASIAN PEMINATAN PESERTA DIDIK (Studi Kasus di SMA Negeri 1 Kendal Tahun Ajaran 2014/2015). Jurnal Gaussian, 4(2), 295 - 304. https://doi.org/10.14710/j.gauss.4.2.295 - 304

How to cite (BCREC): Khiqmah, L. I. N., Mukid, M. A., Prahutama, A. (2015). PERBANDINGAN DISKRIMINAN KUADRATIK KLASIK DAN DISKRIMINAN KUADRATIK ROBUST PADA KASUS PENGKLASIFIKASIAN PEMINATAN PESERTA DIDIK (Studi Kasus di SMA Negeri 1 Kendal Tahun Ajaran 2014/2015). Jurnal Gaussian, 4 (2), 295 - 304 (doi:10.14710/j.gauss.4.2.295 - 304)

How to cite (Chicago): Khiqmah, Laili I. N., Moch. A. Mukid, and Alan Prahutama. "PERBANDINGAN DISKRIMINAN KUADRATIK KLASIK DAN DISKRIMINAN KUADRATIK ROBUST PADA KASUS PENGKLASIFIKASIAN PEMINATAN PESERTA DIDIK (Studi Kasus di SMA Negeri 1 Kendal Tahun Ajaran 2014/2015)." Jurnal Gaussian 4, no. 2 (2015): 295 - 304. Accessed : March 2, 2025. https://doi.org/10.14710/j.gauss.4.2.295 - 304

How to cite (Vancouver): Khiqmah LIN, Mukid MA, Prahutama A. PERBANDINGAN DISKRIMINAN KUADRATIK KLASIK DAN DISKRIMINAN KUADRATIK ROBUST PADA KASUS PENGKLASIFIKASIAN PEMINATAN PESERTA DIDIK (Studi Kasus di SMA Negeri 1 Kendal Tahun Ajaran 2014/2015). Jurnal Gaussian [Online]. 2015 Apr;4(2):295 - 304. https://doi.org/10.14710/j.gauss.4.2.295 - 304.

How to cite (Harvard): Khiqmah, L. I. N., Mukid, M. A., and Prahutama, A., 2015. PERBANDINGAN DISKRIMINAN KUADRATIK KLASIK DAN DISKRIMINAN KUADRATIK ROBUST PADA KASUS PENGKLASIFIKASIAN PEMINATAN PESERTA DIDIK (Studi Kasus di SMA Negeri 1 Kendal Tahun Ajaran 2014/2015). Jurnal Gaussian, [Online] Volume 4(2), pp. 295 - 304. https://doi.org/10.14710/j.gauss.4.2.295 - 304 [Accessed : 2 Mar. 2025].

How to cite (MLA8): Khiqmah, Laili, Moch. Abdul Mukid, and Alan Prahutama. "PERBANDINGAN DISKRIMINAN KUADRATIK KLASIK DAN DISKRIMINAN KUADRATIK ROBUST PADA KASUS PENGKLASIFIKASIAN PEMINATAN PESERTA DIDIK (Studi Kasus di SMA Negeri 1 Kendal Tahun Ajaran 2014/2015)." Jurnal Gaussian, vol. 4, no. 2, 30 Apr. 2015, pp. 295 - 304 , https://doi.org/10.14710/j.gauss.4.2.295 - 304. Retrieved : 2 Mar. 2025.

BibTex Citation Data :

@article{J.Gauss8577,
    author = {Laili Khiqmah and Moch. Mukid and Alan Prahutama},
    title = {PERBANDINGAN DISKRIMINAN KUADRATIK KLASIK DAN DISKRIMINAN KUADRATIK ROBUST PADA KASUS PENGKLASIFIKASIAN PEMINATAN PESERTA DIDIK (Studi Kasus di SMA Negeri 1 Kendal Tahun Ajaran 2014/2015)},
    journal = {Jurnal  Gaussian},
  volume = {4},
    number = {2},
    year = {2015},
    keywords = {discriminant; outliers; robust; MCD  estimators; classification},
    abstract = { Discriminant is a multivariate statistical technique that can be used to perform the classification new observation into a particular group. Quadratic discriminant analysis tied to an assumption of normal multivariate distributed observations and variance covariance matrix inequality. Robust quadratic discriminant analysis can be used if the observations contain outliers. Classification using robust quadratic discriminant analysis with the  Minimum Covariance Determinant  (MCD) estimator in the data specialization students of SMA Negeri 1 Kendal that containing outliers gives the results of the classification accuracy of 95,06% with a percentage of 4,94% classification error while generating the classical quadratic discriminant analysis classification accuracy of 92,59% with a percentage of 7,41% classification error. Thus a robust quadratic discriminant analysis with the MCD estimator is more appropriate in the case of the data which contains outliers.     Keywords  : discriminant, outliers, robust, MCD  estimators, classification},
   issn = {2339-2541},   pages = {295--304}  doi = {10.14710/j.gauss.4.2.295 - 304},
    url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/8577}
}

Refworks Citation Data :

@article{{J.Gauss}{8577}, author = {Khiqmah, L., Mukid, M., Prahutama, A.}, title = {PERBANDINGAN DISKRIMINAN KUADRATIK KLASIK DAN DISKRIMINAN KUADRATIK ROBUST PADA KASUS PENGKLASIFIKASIAN PEMINATAN PESERTA DIDIK (Studi Kasus di SMA Negeri 1 Kendal Tahun Ajaran 2014/2015)}, journal = {Jurnal Gaussian}, volume = {4}, number = {2}, year = {2015}, doi = {10.14710/j.gauss.4.2.295 - 304}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/8577} }

Citation Format:

Abstract

Discriminant is a multivariate statistical technique that can be used to perform the classification new observation into a particular group. Quadratic discriminant analysis tied to an assumption of normal multivariate distributed observations and variance covariance matrix inequality. Robust quadratic discriminant analysis can be used if the observations contain outliers. Classification using robust quadratic discriminant analysis with the Minimum Covariance Determinant (MCD) estimator in the data specialization students of SMA Negeri 1 Kendal that containing outliers gives the results of the classification accuracy of 95,06% with a percentage of 4,94% classification error while generating the classical quadratic discriminant analysis classification accuracy of 92,59% with a percentage of 7,41% classification error. Thus a robust quadratic discriminant analysis with the MCD estimator is more appropriate in the case of the data which contains outliers.

Keywords : discriminant, outliers, robust, MCD estimators, classification

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Keywords: discriminant; outliers; robust; MCD estimators; classification

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