Jurnal Natural
Volume 23 Number 2, June 2023

Generalized structured component analysis (GSCA) method in evaluating service satisfaction at FMIPA Syiah Kuala University

EVI RAMADHANI (Syiah Kuala University)
NURJARIATI NURJARIATI (Syiah Kuala University)
NURHASANAH NURHASANAH (Syiah Kuala University)
NANY SALWA (Syiah Kuala University)
LATIFAH RAHAYU SIREGAR (Syiah Kuala University)



Article Info

Publish Date
20 Jun 2023

Abstract

This research focuses on the Generalized Structured Component Analysis (GSCA) method in evaluating service satisfaction at FMIPA Syiah Kuala University (USK).  FMIPA USK is expected to have good service quality to satisfy stakeholders with the services provided.  FMIPA USK needs to know the factors that affect service satisfaction.  An internal survey of the integrity zone is one way to determine the quality and satisfaction of the services provided by FMIPA USK.  However, this survey uses indirect variables, so the structural equation model (SEM) can be used.  The SEM method used in this study is component-based SEM, namely Generalized Structured Component Analysis (GSCA).  GSCA is used because questionnaires do not fulfill existing assumptions in general research, and the GSCA method does not require many assumptions.  This research aims to form a model, determine the relationship between indicators and latent variables, and know the relationship between latent variables and the factors significantly affecting student satisfaction with services at FMIPA USK.  The results of this study show that the indicators used are valid and reliable.  Reliability, assurance, empathy, and tangibles is a factor that affects service satisfaction.  Models formed in this study have a GFI value of 0.962 and SRMR of 0.365, so the model used is suitable.

Copyrights © 2023






Journal Info

Abbrev

natural

Publisher

Subject

Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Energy Immunology & microbiology Neuroscience Physics

Description

Jurnal Natural (JN) aims to publish original research results and reviews on sciences and mathematics. Jurnal Natural (JN) encompasses a broad range of research topics in chemistry, pharmacy, biology, physics, mathematics, statistics, informatic and ...