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Analisis Diskriminan Linear Robust Dengan Metode Winsorized Modified One-Step M-Estimator

ESTIMASI: Journal of Statistics and Its Application · Vol. 3 No. 1 (2022) · pp. 1–13

DOI
10.20956/ejsa.vi.11302
ISSN
2721-379X, 2721-3803
Published
2022-02-02
Publisher
Hasanuddin University
Language
en

Abstract

Discriminant analysis is a method used to classify an individual (object) into a group. Discriminant analysis is divided into classical linear discriminant analysis and classical quadratic discriminant analysis. Discriminant analysis must fulfilled the assumptions of normality and homogeneity of the variance-covariance matrix, however this method is very sensitive to data contains outliers. Robust linear discriminant analysis with the winsorized modified one-step M-estimator(WMOM) approach is a method that can resolve outliers data. WMOM works by trimming these outliers then replacing the outliers with the highest or lowest value of the remaining data by using criteria trimming MOM. This study aims to obtain a linear robust discriminant function with the WMOM method using the Sn scale on diabetes and prediabetes data for the period December 2016-January 2017. Based on the results of the analysis and discussion of this method, the discriminant function is obtained with a classification error rate of 16.67%. Keywords: Diabetes, One-Step M-estimator, Prediabetes, Robust Linear Discriminant Analysis, Winsorized Modified.

Keywords

Collaboration network of the authors

26 authors · 57 co-authorship links

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  • Sultan Ageng Tirtayasa University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Erna Tri HerdianiAffiliation unknown4
Nasrah SirajangAffiliation unknown2
Asti Inayati MagfirahAffiliation unknown2
Anisa KalondengAffiliation unknown2
Iis Cendrah KasihAffiliation unknown1
Ika FitrianaAffiliation unknown1
Andi Kresna JayaAffiliation unknown1
Andi Isna YunitaAffiliation unknown1
Nur Alfianingsih RajaAffiliation unknown1
Aqilah Salsabila RahmanAffiliation unknown1
Nurhidaya LAffiliation unknown1
SuritmanAffiliation unknown1
Sitti SahrimanAffiliation unknown1
Hendriete Tiur Marowi WaibusiAffiliation unknown1
Anisa AnisaSultan Ageng Tirtayasa University1
Victor LimanAffiliation unknown1
Sonya SonyaAffiliation unknown1
Surya Cahyadi SyamAffiliation unknown1
Muh. HadriantoAffiliation unknown1
Rita Ruth Chendra ChendraAffiliation unknown1
Abdul Fathin FawwazAffiliation unknown1
Andini Riantika Putri Amirullah AmirullahAffiliation unknown1
Hadi Siswadi Hamran HamzahAffiliation 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">Analisis Diskriminan Linear Robust Dengan Metode Winsorized Modified One-Step M-Estimator</dc:title>
	<dc:creator xml:lang="en">Tjahaya, Mega Selvia</dc:creator>
	<dc:creator xml:lang="en">Raupong</dc:creator>
	<dc:creator xml:lang="en">Tinungki, Georgina Maria</dc:creator>
	<dc:subject xml:lang="en">Diabetes</dc:subject>
	<dc:subject xml:lang="en">One-Step M-estimator</dc:subject>
	<dc:subject xml:lang="en">Prediabetes</dc:subject>
	<dc:subject xml:lang="en">Robust Linear Discriminant Analysis</dc:subject>
	<dc:subject xml:lang="en">Winsorized Modified</dc:subject>
	<dc:description xml:lang="en">Discriminant analysis is a method used to classify an individual (object) into a group. Discriminant analysis is divided into classical linear discriminant analysis and classical quadratic discriminant analysis. Discriminant analysis must fulfilled the assumptions of normality and homogeneity of the variance-covariance matrix, however this method is very sensitive to data contains outliers. Robust linear discriminant analysis with the winsorized modified one-step M-estimator(WMOM) approach is a method that can resolve outliers data. WMOM works by trimming these outliers then replacing the outliers with the highest or lowest value of the remaining data by using criteria trimming MOM. This study aims to obtain a linear robust discriminant function with the WMOM method using the Sn scale on diabetes and prediabetes data for the period December 2016-January 2017. Based on the results of the analysis and discussion of this method, the discriminant function is obtained with a classification error rate of 16.67%.
Keywords: Diabetes, One-Step M-estimator, Prediabetes, Robust Linear Discriminant Analysis, Winsorized Modified.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2022-02-02</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/11302</dc:identifier>
	<dc:identifier>10.20956/ejsa.vi.11302</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 3, No. 1, Januari, 2022 : Estimasi; 1-13</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/11302/7861</dc:relation>
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