creators_name: KRISDIANA, 1717031062
creators_id: adjkrisdiana@gmail.com
type: other
datestamp: 2022-05-20 07:42:22
lastmod: 2022-05-20 07:42:22
metadata_visibility: show
title: METODE ESTIMASI PARTIAL LEAST SQUARES (PLS) PADA MODEL 
PERSAMAAN STRUKTURAL
(Studi Kasus: Kepuasan Mahasiswa Unila Angkatan 2018 Terhadap 
Kualitas Google Classroom)
ispublished: pub
subjects: 510
full_text_status: restricted
abstract: 

PLS method is a statistical approach to maximize the variance of the endogenous 
latent variable that can be explained by the exogenous latent variable. PLS 
method is an alternative method to the covariance-based SEM method. The 
advantages of PLS are that it is nonparametric or doesn’t need various 
assumptions and can work efficiently with small sample size and complex models. 
The purpose of this research is to estimate the model with PLS method. The 
results of the research show on the questionnaire data, there is one exogenous 
latent variable that has no significant effect on the endogenous latent variable, 
namely the quality of service interaction with an 
date: 2021
date_type: published
publisher: Fakultas Matematika Dan Ilmu Pengetahuan Alam
place_of_pub: UNIVERSITAS LAMPUNG
citation:   KRISDIANA, 1717031062  (2021) METODE ESTIMASI PARTIAL LEAST SQUARES (PLS) PADA MODEL PERSAMAAN STRUKTURAL (Studi Kasus: Kepuasan Mahasiswa Unila Angkatan 2018 Terhadap Kualitas Google Classroom).  Fakultas Matematika Dan Ilmu Pengetahuan Alam, UNIVERSITAS LAMPUNG.     
document_url: http://digilib.unila.ac.id/61446/1/ABSTRAK%20%28ABSTRACT%29%20-%20Krisdiana.pdf
document_url: http://digilib.unila.ac.id/61446/2/SKRIPSI%20FULL%20-%20Krisdiana.pdf
document_url: http://digilib.unila.ac.id/61446/3/SKRIPSI%20TANPA%20BAB%20PEMBAHASAN%20-%20Krisdiana.pdf