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Penerepan Analisis Diskriminan Kuadratik Robust Pada Klasifikasi Desa

ESTIMASI: Journal of Statistics and Its Application · Vol. 5 No. 2 (2024) · pp. 196–204

DOI
10.20956/ejsa.v5i2.27002
ISSN
2721-379X, 2721-3803
Published
2024-07-27
Publisher
Hasanuddin University
Language
en

Abstract

Discriminant analysis is a method used in separating objects into different groups and allocating objects into a predetermined group. Discriminant analysis is bound by the assumption that the mean vector for each group is different, the data is normally distributed multivariate and the covariance variance matrix between groups is the same. If there is a covariance variance matrix between different groups, then quadratic discriminant analysis is used for the classification process. However, sometimes it is found that data contains outliers, so a robust estimator is used, namely the Minimun Covariance Determinant with the fast-MCD algorithm. Therefore, robust quadratic discriminant analysis can be used to classify 128 villages and 48 sub-districts in Wajo district. It was found that 106 villages were correctly classified into village groups and 22 villages were misclassified into sub-district groups and 35 sub-districts were correctly classified as sub-district groups and 13 sub-districts were misclassified into village groups and produced an accuracy of classification results of 80.11%.

Keywords

Collaboration network of the authors

40 authors · 109 co-authorship links · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Sultan Ageng Tirtayasa University
  • Institut Agama Islam Negeri Kendari
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Anna IslamiyatiAffiliation unknown4
Andi Kresna JayaAffiliation unknown3
Anisa KalondengAffiliation unknown2
A.Muthiah Nur AngrianyAffiliation unknown2
Andi Sitti Fahmi Riyanti HufainiAffiliation unknown2
Nurtiti SunusiAffiliation unknown2
Muhammad FadilAffiliation unknown2
Sumarlin RengkoAffiliation unknown1
Wisjar Maulihadi Ahzan OdieAffiliation unknown1
Ibrah Rahmat Anshary N.Affiliation unknown1
Nur HikmahAffiliation unknown1
Sri Hasma PratiwiAffiliation unknown1
Nurfanining NurfaniningAffiliation unknown1
Zulaikah NatashaAffiliation unknown1
Zhazha Alifkhamulki RamdhaniAffiliation unknown1
Samsul ArifinAffiliation unknown1
Anisa AnisaSultan Ageng Tirtayasa University1
Bunga ApriliaAffiliation unknown1
Dwicahyo Ramadhan PriyatnaAffiliation unknown1
La Podje TalangkoAffiliation unknown1
Vieri KoerniawanAffiliation unknown1
Grace Oktavia YusufAffiliation unknown1
Dewi Rahma EnteAffiliation unknown1
Andi Tenri Riski AmaliaAffiliation unknown1
Sitti SahrimanAffiliation unknown1
Fitri AnnisaAffiliation unknown1
Nurul IkhsaniAffiliation unknown1
Wa Ode Sitti Amni AmniAffiliation unknown1
Nurul HikmahInstitut Agama Islam Negeri Kendari1
Nasrah SirajangAffiliation unknown1
Kevin Ekarinaldo PalunganAffiliation unknown1
Fauziah NurhidayahAffiliation unknown1
Anni Ivoni ParapaAffiliation unknown1
Siswanto SiswantoAffiliation unknown1
Haksar HaksarAffiliation unknown1
Ayu Pratika PutriAffiliation unknown1
Annurial Fitrayah TaufiqAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/ESTIMASI/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">Penerepan Analisis Diskriminan Kuadratik Robust Pada Klasifikasi Desa</dc:title>
	<dc:creator xml:lang="en">Asnidar, Asnidar</dc:creator>
	<dc:creator xml:lang="en">Ilyas, Nirwan</dc:creator>
	<dc:creator xml:lang="en">Raupong, Raupong</dc:creator>
	<dc:subject xml:lang="en">Classification</dc:subject>
	<dc:subject xml:lang="en">Robust</dc:subject>
	<dc:subject xml:lang="en">fast-MCD</dc:subject>
	<dc:description xml:lang="en">Discriminant analysis is a method used in separating objects into different groups and allocating objects into a predetermined group. Discriminant analysis is bound by the assumption that the mean vector for each group is different, the data is normally distributed multivariate and the covariance variance matrix between groups is the same. If there is a covariance variance matrix between different groups, then quadratic discriminant analysis is used for the classification process. However, sometimes it is found that data contains outliers, so a robust estimator is used, namely the Minimun Covariance Determinant with the fast-MCD algorithm. Therefore, robust quadratic discriminant analysis can be used to classify 128 villages and 48 sub-districts in Wajo district. It was found that 106 villages were correctly classified into village groups and 22 villages were misclassified into sub-district groups and 35 sub-districts were correctly classified as sub-district groups and 13 sub-districts were misclassified into village groups and produced an accuracy of classification results of 80.11%.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2024-07-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/27002</dc:identifier>
	<dc:identifier>10.20956/ejsa.v5i2.27002</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 5, No. 2, Juli, 2024 : Estimasi; 196-204</dc:source>
	<dc:source>2721-379X</dc:source>
	<dc:source>2721-3803</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/27002/11856</dc:relation>
</oai_dc:dc>