?url_ver=Z39.88-2004&rft_id=1517031150&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PENDUGAAN+MISCLASSIFICATION+ERROR+DENGAN+METODE%0D%0ARESUBSTITUSI+DAN+JACKKNIFE+PADA+ANALISIS+DISKRIMINAN%0D%0AFISHER%0D%0A%0D%0A&rft.creator=Vera+Yuni+Arsa+%2C+1517031150&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Analisis+diskriminan+merupakan+suatu+teknik+analisis+data+multivariat+yang%0D%0Adigunakan+untuk+mengklasifikasikan+objek+ke+dalam+populasi-populasi+yang%0D%0Aberbeda%2C+yaitu+dengan+menggunakan+suatu+aturan+klasifikasi+berdasarkan+sampel%0D%0Alatihan+yang+telah+diketahui+asal+populasinya.+Namun%2C+setiap+aturan+klasifikasi%0D%0Atidak+selalu+memberikan+ketepatan+dalam+mengklasifikasikan+objek.+Sehingga%0D%0Adalam+setiap+aturan+klasifikasi+tersebut+akan+selalu+terdapat+kesalahan+klasifikasi.+%0D%0ATingkat+kesalahan+klasifikasi+ini+dapat+diduga+dengan+menggunakan+metode%0D%0Apendugaan%2C+dua+diantaranya+adalah+metode+Resubstitusi+dan+Jackknife.++%0D%0A%0D%0APenelitian+ini+bertujuan+untuk+menduga+tingkat+kesalahan+klasifikasi%0D%0Amenggunakan+metode+Resubstitusi+dan+Jackknife+dalam+analisis+diskriminan%0D%0AFisher.+Data+yang+digunakan+adalah+data+simulasi+yang+dihasilkan+menggunakan%0D%0Asoftware+SAS+9.4+yang+berisi+dua+populasi+dengan+matriks+kovarians+yang+sama%0D%0Ayaitu+%C6%A91+%3D+%C6%A92.+Dua+kasus+yang+diperhatikan+yaitu+populasi+dengan+1)+matriks%0D%0Akovarian+diagonal+dan+2)+matriks+kovarian+nondiagonal.+Perbandingan+kedua%0D%0Ametode+tersebut+dianalisis+berdasarkan+kuadrat+tengah+galat+(KTG)+dari+menduga%0D%0Akesalahan+klasifikasi.+Hasil+penelitian+ini+menunjukkan+bahwa+penduga+Jackknife%0D%0Abaik+dalam+menduga+misclassification+error+pada+kasus+pertama+hanya+untuk%0D%0Aukuran+sampel+kecil.+Sementara+itu%2C+penduga+Resubstitusi+cenderung+lebih+baik%0D%0Apada+ukuran+sampel+yang+besar.+Namun%2C+penduga+Resubstitusi+selalu+lebih+baik%0D%0Adaripada+Jackknife+untuk+kasus+kedua.+Dapat+juga+disimpulkan+bahwa+semakin%0D%0Abanyak+peubah+dan+ukuran+sampel+yang+digunakan+dalam+simulasi+semakin+kecil%0D%0Anilai+MSE+dari+menduga+kesalahan+klasifikasi+yang+diperoleh+dari+penduga%0D%0AResubstitusi+dan+Jackknife.%0D%0A%0D%0AKata+Kunci%3A+Analisis+Diskriminan+Fisher%2C+Resubstitusi%2C+Jackknife%2C%0D%0AMisclassification+error+%0D%0A+Discriminant+analysis+is+a+multivariate+data+analysis+technique+that+is+used+to%0D%0Aclassify+objects+into+different+populations%2C+by+using+a+classification+rule+based+on%0D%0Aan+exercise+sample+whose+origin+is+known.+However%2C+each+classification+rule+does%0D%0Anot+always+provide+accuracy+in+classifying+objects.+So+that+in+each+classification%0D%0Arule+there+will+always+be+a+classification+error.+The+level+of+misclassification+can%0D%0Abe+estimated+by+using+estimation+methods%2C+two+of+them+are+Resubstitution+and%0D%0AJackknife+methods.%0D%0A%0D%0AThis+study+aimed+to+predict+misclassification+rate+using+the+Resubstitution+and%0D%0AJackknife+methods+in+Fisher+discriminant+analysis.+The+data+used+were+simulated%0D%0Adata+generated+using+SAS+9.4+software+containing+two+populations+with+equal%0D%0Acovariance+matrices+i.e+%C6%A91+%3D+%C6%A92.+Two+cases+were+concerned+namely+populations%0D%0Awith+1)+diagonal+covariance+matrix+and+2)+nondiagonal+covariance+matrices.+The%0D%0Acomparison+of+the+two+methods+was+analyzed+based+on+the+mean+squared+error%0D%0A(MSE)+of+their+misclassification+estimates.+The+results+of+this+study+indicate+that%0D%0Athe+Jackknife+estimator+was+satisfactory+in+the+misclassification+error+estimation%0D%0Aof+the+first+case+only+for+small+sample+sizes.+Meanwhile%2C+the+Resubstitution%0D%0Aestimator+tends+to+be+better+at+large+sample+sizes.+However%2C+the+Resubstitution%0D%0Aestimator+is+always+better+than+the+Jackknife+for+the+second+case.+It+also+can+be%0D%0Aconcluded+that+the+more+variables+and+the+sample+sizes+used+in+the+simulation+the%0D%0Asmaller+the+value+of+the+MSE+of+misclassification+estimates+obtained+from%0D%0AResubstitution+and+Jackknife+estimators.%0D%0A%0D%0AKeywords%3A+Fisher+Discriminant+Analysis%2C+Resubstitution%2C+Jackknife%2C%0D%0AMisclassification+error+&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2022-01-28&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63284%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63284%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63284%2F3%2FSKRIPSI%2520TANPA%2520PEMBAHASAN.pdf&rft.identifier=++Vera+Yuni+Arsa+%2C+1517031150++(2022)+PENDUGAAN+MISCLASSIFICATION+ERROR+DENGAN+METODE+RESUBSTITUSI+DAN+JACKKNIFE+PADA+ANALISIS+DISKRIMINAN+FISHER.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F63284%2F