PENGARUH KUALITAS PELAYANAN DAN KEPERCAYAAN TERHADAP KEPUASAN PASIEN POLI GIGI
(Studi pada RSUD. DR. H. ANDI ABDURRAHMAN NOOR)
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Institusion
Universitas Islam Kalimantan M A B Banjarmasin
Author
Syaifullah, Syaifullah
Subject
HB Economic Theory
Datestamp
2023-01-14 02:29:46
Abstract :
Tanah Bumbu as a very large district, has a population of ± 300,000 people with ± 83.33% of the population having a fairly good economic capacity and there are ± 60 national and international scale companies with thousands of employees including foreign workers who have started to arrive and live in this area With this condition, Tanah Bumbu district must have a hospital that has better standards and capabilities and must have more complete equipment (in accordance with national service standards). The service quality variable has a significance value of 0.000, the value is smaller than 0.05. Meanwhile, for t count, the value is 7.102 > t table (2.002). Based on this, it can be said that the Service Quality variable has an effect on the Patient Satisfaction variable. So that the first hypothesis, H1: Service Quality variable has a partially positive significant effect on the Patient Satisfaction variable "accepted". The Patient Trust variable has a significance value of 0.022, the value is smaller than 0.05. Meanwhile, for t count, the value is 2,358 > t table (2,002). Based on this, it can be said that the Patient Trust variable has an effect on the Patient Satisfaction variable. So that the second hypothesis, H2: Patient Trust variable has a partially positive significant effect on the Patient Satisfaction variable "accepted". Based on the results of the coefficient of determination test above, the value of R2 (Adjusted R Square) from the regression model is used to determine how much the ability of the independent variable (independent) in explaining the dependent variable (dependent). Based on the table above, it is known that the R2 value is 0.658, this means that 65.8% of the variation of the dependent variable Patient Satisfaction can be explained by variations of the two independent variables, namely Service Quality and Patient Trust. While the rest of (100% - 65.8% = 34.2%) is influenced by other variables outside of this study
Tanah Bumbu as a very large district, has a population of ± 300,000 people with ± 83.33% of the population having a fairly good economic capacity and there are ± 60 national and international scale companies with thousands of employees including foreign workers who have started to arrive and live in this area With this condition, Tanah Bumbu district must have a hospital that has better standards and capabilities and must have more complete equipment (in accordance with national service standards). The service quality variable has a significance value of 0.000, the value is smaller than 0.05. Meanwhile, for t count, the value is 7.102 > t table (2.002). Based on this, it can be said that the Service Quality variable has an effect on the Patient Satisfaction variable. So that the first hypothesis, H1: Service Quality variable has a partially positive significant effect on the Patient Satisfaction variable "accepted". The Patient Trust variable has a significance value of 0.022, the value is smaller than 0.05. Meanwhile, for t count, the value is 2,358 > t table (2,002). Based on this, it can be said that the Patient Trust variable has an effect on the Patient Satisfaction variable. So that the second hypothesis, H2: Patient Trust variable has a partially positive significant effect on the Patient Satisfaction variable "accepted". Based on the results of the coefficient of determination test above, the value of R2 (Adjusted R Square) from the regression model is used to determine how much the ability of the independent variable (independent) in explaining the dependent variable (dependent). Based on the table above, it is known that the R2 value is 0.658, this means that 65.8% of the variation of the dependent variable Patient Satisfaction can be explained by variations of the two independent variables, namely Service Quality and Patient Trust. While the rest of (100% - 65.8% = 34.2%) is influenced by other variables outside of this study
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