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Latifah Rahayu Siregar
Syiah Kuala University
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Penerapan Bagan Kendali MEWMA-MEWMV pada Pengendalian Kualitas Lulusan Prodi Statistika FMIPA Universitas Syiah Kuala Misbahul Jannah; Evi Ramadhani; Latifah Rahayu Siregar
Inferensi Vol 6, No 1 (2023)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v6i1.14457

Abstract

Statistical technique used to analyze quality problems and improve process performance is Statistical Process Control (SPC). In this study, multivariate control chart is used to control the quality of the graduates of Statistics Study Program, FMIPA USK, namely using Multivariate Exponentially Weighted Moving Average (MEWMA) control chart to control process average, Multivariate Exponentially Weighted Moving Variance (MEWMV) to control process variability, and analysis Process Capability to assess the entire process. Data used is secondary data, namely GPA data, duration of thesis preparation, and length of study for graduates of Statistics Study Program, FMIPA USK in 2016-2021 as many as 122 people. Results of the study, using MEWMA control chart, it was found that the average process for quality of graduates was statistically controlled in phase II. Selection of the most optimal weighting is λ=0.9. Meanwhile, for application of the MEWMV control chart, it was found that the process variability in the quality of graduates was also statistically controlled. The selection of the most optimal weights is λ =0.9 and ω=0.3. The results of the calculation of process capability, multivariately the GPA variable, length of the final project preparation, and length of the study show that all three are not capable.
Generalized structured component analysis (GSCA) method in evaluating service satisfaction at FMIPA Syiah Kuala University EVI RAMADHANI; NURJARIATI NURJARIATI; NURHASANAH NURHASANAH; NANY SALWA; LATIFAH RAHAYU SIREGAR
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.27808

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.
Generalized structured component analysis (GSCA) method in evaluating service satisfaction at FMIPA Syiah Kuala University EVI RAMADHANI; NURJARIATI NURJARIATI; NURHASANAH NURHASANAH; NANY SALWA; LATIFAH RAHAYU SIREGAR
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.27808

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.
Co-Authors Evi Ramadhani Misbahul Jannah NANY SALWA Nurhasanah Nurhasanah NURJARIATI NURJARIATI