?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=EVALUATION+OF+LINEAR+DISCRIMINANT+ANALYSIS+ON+THE+CLASSIFICATION+OF+PROVINCES+IN+INDONESIA+BASED+ON+POVERTY+RATES+BY+THE+JACKKNIFE+METHOD&rft.creator=Esti+%2C+Widia+Hartati+&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.description=Discriminant+analysis+is+a+multivariate+technique+used+to+classify+objects+into+different+populations+based+on+training+samples+where+the+populations+are+known.+One+of+the+classification+approaches+is+Fisher+linear+discriminant+analysis.+Fisher+method+obtains+the+discriminant+function+in+cases+consisting+of+only+two+populations+and+assumes+the+same+variance-covariance+matrices%2C+through+a+search+for+a+linear+function+such+that+the+two+populations+are+as+far+apart+as+possible.+The+purpose+of+this+study+is+to+evaluate+Fisher+linear+discriminant+analysis+on+the+classification+of+provinces+in+Indonesia+using+the+Jackknife+method.+The+result+of+the+study+is+that+the+misclassification+error+rate+is+29%25.+The+Jackknife+method+has+good+accuracy+of+88.2+%25%2C+a+precision+value+of+84.6+%25%2C+a+recall+or+sensitivity+value+of+100+%25%2C+and+a+comparison+of+the+weighted+average+precision+and+recall+of%0D%0A86.3+%25.%0D%0AKeywords%3A+fisher+linear+discriminant+analysis%2C+jackknife%2Cconfusion+matrix%0D%0AAnalisis+diskriminan+adalah+teknik+multivariat+yang+digunakan+untuk+mengklasifikasikan+objek+ke+dalam+populasi+yang+berbeda+berdasarkan+sampel+training+yang+telah+diketahui+asal+populasinya.+Salah+satu+pendekatan+klasifikasi+adalah+analisis+diskriminan+linier+Fisher.+Metode+Fisher+memperoleh+fungsi+diskriminan+dalam+kasus+yang+hanya+terdiri+dari+dua+populasi+dan+mengasumsikan+matriks+varians-kovarians+yang+sama%2C+melalui+pencarian+fungsi+linier+sedemikian+rupa+sehingga+kedua+populasi+berjarak+sejauh+mungkin.+Tujuan+dari+penelitian+ini+adalah+untuk+mengevaluasi+analisis+diskriminan+linier+Fisher+pada+klasifikasi+provinsi-provinsi+di+Indonesia+dengan+menggunakan+metode+Jackknife.+Hasil+penelitian+menunjukkan+tingkat+kesalahan+kesalahan+klasifikasi+sebesar+29%25.+Metode+jackknife+memiliki+akurasi+yang+baik+sebesar+88%2C2%25%2C+nilai+presisi+sebesar+84%2C6%25%2C+nilai+sensitivitas+sebesar+100%25%2C+dan+perbandingan+rata-rata+bobot+presisi+dan+recall+adalah+86%2C3%25.%0D%0AKata+kunci%3A+analisis+diskriminan+linear+fisher%2C+jackknife%2Ckonfusion+matrik&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+&rft.date=2023-07-26&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74432%2F1%2FABSTRACT.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74432%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F74432%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++Esti+%2C+Widia+Hartati+++(2023)+EVALUATION+OF+LINEAR+DISCRIMINANT+ANALYSIS+ON+THE+CLASSIFICATION+OF+PROVINCES+IN+INDONESIA+BASED+ON+POVERTY+RATES+BY+THE+JACKKNIFE+METHOD.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F74432%2F