?url_ver=Z39.88-2004&rft_id=1817031046&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=ANALISIS+REGRESI+RIDGE+GENERALIZED+LEAST+SQUARE+(RGLS)%0D%0AUNTUK+MENGATASI+MULTIKOLINEARITAS+DAN+AUTOKORELASI&rft.creator=SHERLINA+YULIANTI+%2C+sherlinay65%40gmail.com&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=001+Ilmu+pengetahuan&rft.description=ABSTRACT%0D%0ARIDGE+GENERALIZED+LEAST+SQUARE+(RGLS)+REGRESSION%0D%0AANALYSIS+TO+OVERCOME+MULTICOLLINEARITY+AND%0D%0AAUTOCORRELATION%0D%0ABy%0D%0ASherlina+Yulianti%0D%0AMultiple+linear+regression+analysis+is+a+method+for+analyzing+the+relationship%0D%0Abetween+the+dependent+variable+and+several+independent+variables.+The%0D%0Aindependent+variables+in+multiple+linear+regression+analysis+have+a+possibility+to%0D%0Acorrelate+with+each+other+or+called+multicollinearity+problems+and+linear%0D%0Aregression+using+time+series+data+has+a+possibility+to+have+error+autocorrelation%0D%0Aproblems+because+the+data+at+this+time+has+a+relationship+with+data+at+the+previous%0D%0Atime.+Both+of+these+conditions+have+an+adverse+effect+on+estimates+and%0D%0Apredictions.+The+Ridge+Generalized+Least+Square+(RGLS)+method+is+able+to%0D%0Aovercome+multicollinearity+and+autocorrelation+problems+simultaneously.%0D%0ATherefore+this+study+aims+to+study+the+performance+of+the+RGLS+method+in%0D%0Aovercoming+multicollinearity+and+autocorrelation+problems+through+Monte+Carlo%0D%0Asimulations+with+n+%3D+50%2C+75%2C+and+100+which+have+6+independent+variables+with+a%0D%0Amulticollinearity+level+of+0.99+and+an+autocorrelation+level+of+0.15.+This+study%0D%0Agives+the+result+that+the+RGLS+method+is+able+to+overcome+multicollinearity+and%0D%0Aautocorrelation+problems+in+the+data+and+it+can+be+concluded+that+the+more+the%0D%0Anumber+of+samples+used%2C+the+smaller+the+resulting+MSE+value+and+the+greater+the%0D%0Aresulting+&rft.publisher=FAKULTAS+PERTANIAN++&rft.date=2023-01-17&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F69534%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F69534%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F69534%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++SHERLINA+YULIANTI+%2C+sherlinay65%40gmail.com++(2023)+ANALISIS+REGRESI+RIDGE+GENERALIZED+LEAST+SQUARE+(RGLS)+UNTUK+MENGATASI+MULTIKOLINEARITAS+DAN+AUTOKORELASI.++FAKULTAS+PERTANIAN+%2C+UNIVERSITAS+LAMPUNG.++++(Submitted)++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F69534%2F