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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam
Astari Rahmadita
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Mathematics

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The Construction of Patient Loyalty Model Using Bayesian Structural Equation Modeling Approach Rahmadita, Astari; Yanuar, Ferra; Devianto, Dodi
CAUCHY Vol 5, No 2 (2018): CAUCHY
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (631.337 KB) | DOI: 10.18860/ca.v5i2.5039

Abstract

The information on the health status of an individual is often gathered based on a health survey. Patient assessment on the quality of hospital services is important as a reference in improving the service so that it can increase a patient satisfaction and patient loyalty. The concepts of health service are often involve multivariate factors with multidimensional sructure of corresponding factors. One of the methods that can be used to model such these variables is SEM (Structural Equation Modeling). Structural Equation Modelling (SEM) is a multivariate method that incorporates ideas from regression, path-analysis and factor analysis. A Bayesian approach to SEM may enable models that reflect hypotheses based on complex theory. Bayesian SEM is used to construct the model for describing the patient loyalty at Puskesmas in Padang City. The convergence test with the history of trace plot, density plot and the model consistency test were performed with three different prior types. Based on Bayesian SEM approach, it is found that the quality of service and patient satisfaction significantly related to the patient loyalty.
PENAKSIR RASIO REGRESI LINEAR SEDERHANA UNTUK RATA-RATA POPULASI MENGGUNAKANKARAKTER TAMBAHAN Astari Rahmadita; Harison '; Haposan Sirait
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Estimators discussed here are three regression ratio estimators of population mean Y using information on two auxiliary variables Xdan Z under simple random sampling without replacement. They are proposed bySingh, Upadhyaya and Premchandra [4] which is a review of the article “An Improved Version of Regression Ratio Estimator with Two Auxiliary Variables in Sample Surveys.” All estimatorsare biased. The efficient estimator is one with the smallest Mean Square Error (MSE), determined by comparing each type of estimator.
Co-Authors Devianto, Dodi Haposan Sirait Harison ' Yanuar, Ferra