METODE ESTIMASI PARTIAL LEAST SQUARES (PLS) PADA MODEL PERSAMAAN STRUKTURAL (Studi Kasus: Kepuasan Mahasiswa Unila Angkatan 2018 Terhadap Kualitas Google Classroom)

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.

[img]
Preview
File PDF
ABSTRAK (ABSTRACT) - Krisdiana.pdf

Download (323Kb) | Preview
[img] File PDF
SKRIPSI FULL - Krisdiana.pdf
Restricted to Hanya staf

Download (1849Kb)
[img]
Preview
File PDF
SKRIPSI TANPA BAB PEMBAHASAN - Krisdiana.pdf

Download (1459Kb) | Preview

Abstrak (Berisi Bastraknya saja, Judul dan Nama Tidak Boleh di Masukan)

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

Jenis Karya Akhir: Skripsi
Subyek: 500 ilmu pengetahuan alam dan matematika > 510 Matematika
Program Studi: FAKULTAS MIPA > Prodi Matematika
Pengguna Deposit: UPT Anita Ekarini
Date Deposited: 20 May 2022 07:42
Terakhir diubah: 20 May 2022 07:42
URI: http://digilib.unila.ac.id/id/eprint/61446

Actions (login required)

Lihat Karya Akhir Lihat Karya Akhir