?url_ver=Z39.88-2004&rft_id=1417031014&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=ANALISIS+KOMPONEN+UTAMA+DENGAN+DATA+HILANG%0D%0AMENGGUNAKAN+METODE+NONLINEAR+ITERATIVE+PARTIAL+LEAST%0D%0ASQUARES+(NIPALS)&rft.creator=ANINDIA+PUTRI+%2C+1417031014&rft.subject=QA+Mathematics&rft.description=Analisis+komponen+utama+(AKU)+adalah+salah+satu+teknik+statistika+multivariat%0D%0Ayang+digunakan+untuk+mereduksi+dimensi+data+yang+berukuran+besar+dan+saling%0D%0Aberkorelasi+menjadi+dimensi+data+yang+berukuran+lebih+kecil+dan+tidak+saling%0D%0Aberkorelasi.+AKU+konvensional+(yaitu+dengan+menggunakan+vektor+eigen+dari%0D%0Amatriks+varian+kovarian+atau+korelasi+sebagai+koefisien+dari+komponen+utama)%0D%0Atidak+dapat+digunakan+untuk+menganalisis+suatu+data+yang+mengandung+nilai+yang%0D%0Ahilang.+Salah+satu+cara+untuk+mengatasi+data+hilang+dalam+AKU+yaitu+dengan%0D%0Amenggunakan+algoritma+Nonlinear+Iterative+Partial+Least+Squares+(NIPALS).%0D%0AAlgoritma+NIPALS+mendekomposisikan+matriks+menjadi+matriks+scores+T+dan%0D%0Amatriks+loadings+P.+Dalam+penelitian+ini%2C+AKU+menggunakan+data+hilang+dengan%0D%0Aalgoritma+NIPALS+yang+memuat+nilai+hilang+sebanyak+1%25%2C+3%25%2C+5%25%2C+10%25%2C+15%25%2C%0D%0A20%25%2C+25%25%2C+dan+28%25.+Berdasarkan+biasnya%2C+Mean+Square+Errors+(MSE)+dan%0D%0Aspectral+norm%2C+menyatakan+bahwa+algoritma+NIPALS+masih+dapat+mengatasi+nilai%0D%0Ahilang+sebanyak+28%25%2C+namun+untuk+nilai+hilang+sebanyak+lebih+dari+atau+sama%0D%0Adengan+25%25+hasil+komponen+utama+yang+didapat+sudah+tidak+akurat.%0D%0AKata+Kunci+%3A+analisis+komponen+utama%2C+data+hilang%2C+algoritma+nonlinear%0D%0Aiterative+partial+least+squares+(NIPALS)%0D%0A%0D%0Aabstract%0D%0A%0D%0APrincipal+component+analysis+(PCA)+is+a+multivariate+statistical+technique+which%0D%0Ais+used+to+reduce+large+dimension+and+correlated+data+into+smaller+dimension+and%0D%0Auncorrelated+data.+The+conventional+PCA+(i.e.+by+using+the+eigen+vectors+of+the%0D%0Acovariance+or+correlation+matrix+as+the+coefficient+of+the+principal+components)%0D%0Acannot+be+used+to+analyze+data+with+missing+values.+One+method+that+can+be+used%0D%0Ato+solve+missing+values+problem+in+PCA+is+by+using+the+Nonlinear+Iterative+Partial%0D%0ALeast+Squares+(NIPALS)+algorithm.+NIPALS+algorithm+decomposes+data+matrix%0D%0AX+into+scores+matrix+T+and+loadings+matrix+P.+In+this+research%2C+investigation+of%0D%0APCA+using+NIPALS+algorithm+was+conducted+by+using+data+with+missing+values%0D%0A1%25%2C+3%25%2C+5%25%2C+10%25%2C+15%25%2C+20%25%2C+25%25+and+28%25.+Based+on+the+bias%2C+Mean+Square%0D%0AErrors+(MSE)+and+spectral+norm%2C+the+result+shows+that+NIPALS+algorithm+still+can%0D%0Aovercome+the+missing+values+as+much+as+28%25.+However%2C+for+the+missing+values+as%0D%0Amuch+as+25%25+or+more%2C+the+resulted+principal+components+were+not+accurate.%0D%0AKeyword+%3A+Principal+component+analysis%2C+missing+data%2C+nonlinear%0D%0Aiterative+partial+least+squares+(NIPALS)+algorithm&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAAHUAN+ALAM+&rft.date=2018-05-14&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F31871%2F1%2FABSTRACT.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F31871%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F31871%2F14%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++ANINDIA+PUTRI+%2C+1417031014++(2018)+ANALISIS+KOMPONEN+UTAMA+DENGAN+DATA+HILANG+MENGGUNAKAN+METODE+NONLINEAR+ITERATIVE+PARTIAL+LEAST+SQUARES+(NIPALS).++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAAHUAN+ALAM+%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F31871%2F