?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PARTIAL+LEAST+SQUARE+BERBASIS+VARIANS%0D%0ASEBAGAI+METODE+ALTERNATIF+PENYELESAIAN+MASALAH%0D%0ASTRUCTURAL+EQUATION+MODELING&rft.creator=+ANWAR+HUDA+%2C+1217031011&rft.subject=Q+Science+(General)&rft.subject=QA+Mathematics&rft.description=Structural+Equation+Modeling+(SEM)+adalah+metode+analisis+multivariat+yang%0D%0Adigunakan+untuk+menggambarkan+hubungan+linier+secara+simultan+antara+variabel%0D%0Alaten+dan+variabel+indikator.+Pemodelan+struktural+yang+sering+digunakan+SEM%0D%0Aberbasis+kovarian+selanjutnya+disebut+LISREL.+Metode+pendugaan+yang+umumnya%0D%0Adigunakan+adalah+metode+Maximum+Likelihood+Estimator+(MLE)%2C+yang+memiliki%0D%0Akemampuan+analisis+dan+prediksi+yang+lebih+baik+dibandingkan+analisis+jalur+dan%0D%0Aregresi+berganda+karena+mampu+menganalisis+sampai+pada+level+terdalam+terhadap%0D%0Avariabel+atau+model+yang+diteliti+serta+menyertakan+eror+pengukuran.+Namun%0D%0Apendugaan+parameter+dengan+metode+MLE+dalam+LISREL+membutuhkan+beberapa%0D%0Aasumsi+kritis+seperti+jumlah+sampel+harus+besar%2C+normalitas+data%2C+multikolinieritas+dan%0D%0Akompleksitas+model.+Dengan+jumlah+sampel+50%2C+model+yang+diestimasi+dengan%0D%0Ametode+MLE+dalam+LISREL+memberikan+estimasi+parameter+dan+model+statistik%0D%0Ayang+kurang+baik%2C+bahkan+menghasilkan+negative+variance.+Salah+satu+pendekatan%0D%0Abaru+yang+diperkenalkan+oleh+Herman+Wold+adalah+Partial+Least+Square+(PLS)+dan%0D%0Asering+disebut+soft+modeling+yang+merupakan+metode+SEM+berbasis+varian%2C+dengan%0D%0Aukuran+sampel+relatif+kecil+dan+tidak+memerlukan+asumsi-asumsi+lain+seperti+dalam%0D%0ASEM+berbasis+kovarian.+Oleh+karna+itu%2C+PLS+dapat+dijadikan+sebagai+metode+alternatif%0D%0Auntuk+menyelesaikan+masalah+yang+dihadapi+SEM.%0D%0AKata+Kunci+%3A+Structural+Equation+Modeling+(SEM)%2C+Partial+Least+Square+(PLS)%0D%0A%0D%0Aabstract%0D%0A%0D%0AStructural+Equation+Modeling+(SEM)+is+a+multivariate+analysis+method+that+is+used+to%0D%0Adescribe+the+simultaneous+linear+relationship+between+the+latent+variables+and%0D%0Aindicator+variables.+Structural+modeling+which+is+often+used+covariance-based+SEM%0D%0Ahereinafter+is+referred+LISREL.+Estimation+method+that+is+commonly+used+is+the%0D%0AMaximum+Likelihood+Estimator+(MLE)%2C+which+has+the+analytical+skills+and+a+better%0D%0Aprediction+than+the+path+analysis+and+regression+because+it+is+able+to+analyze+up+to+the%0D%0Adeepest+level+of+the+variable+or+models+that+were+analyzed+and+include+measurement%0D%0Aerror.+However%2C+parameter+estimation+by+MLE+method+in+LISREL+needs+some+critical%0D%0Aassumptions+such+as+the+sample+size+should+be+large%2C+data+normality%2C+multicollinearity%0D%0Aand+the+complexity+of+the+model.+With+50+samples%2C+the+model+which+is+estimated+by%0D%0AMLE+method+in+LISREL+provide+less+good+parameter+estimates+and+statistical+models%0D%0Aand+produce+negative+variance.+One+of+new+approach+which+is+introduced+by+Herman%0D%0AWold+is+Partial+Least+Square+(PLS).+PLS+which+is+often+called+with+soft+modeling+is%0D%0Aa+method+of+SEM-based+variant+which+the+sample+size+is+relatively+small+and+does+not%0D%0Arequire+other+assumptions+such+as+the+covariance-based+SEM.+Therefore%2C+PLS+can+be%0D%0Aused+as+an+alternative+method+to+resolve+the+problems+faced+by+SEM.%0D%0AKeywords+%3A+Structural+Equation+Modeling+(SEM)%2C+Partial+Least+Square+(PLS)&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2017-02-16&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F25892%2F1%2FABSTRAK%2520%2528ABSTRACT%2529.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F25892%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F25892%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=+++ANWAR+HUDA+%2C+1217031011++(2017)+PARTIAL+LEAST+SQUARE+BERBASIS+VARIANS+SEBAGAI+METODE+ALTERNATIF+PENYELESAIAN+MASALAH+STRUCTURAL+EQUATION+MODELING.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F25892%2F