Evaluating patient satisfaction with hospital services quality using Fuzzy Analytic Hierarchy Process (FAHP) / Nur Anis Ayuni Kamaruzzaman

Best service quality is viewed as an important element that can be used to distinguish and enhance an organization's performance in the time of strong competition. As living standards have changed and there is a demand for better medical treatment to improve lifestyles, there has been an increa...

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Main Author: Kamaruzzaman, Nur Anis Ayuni
Format: Thesis
Language:English
Published: 2023
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Online Access:https://ir.uitm.edu.my/id/eprint/97689/1/97689.pdf
https://ir.uitm.edu.my/id/eprint/97689/
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spelling my.uitm.ir.976892024-07-27T16:57:43Z https://ir.uitm.edu.my/id/eprint/97689/ Evaluating patient satisfaction with hospital services quality using Fuzzy Analytic Hierarchy Process (FAHP) / Nur Anis Ayuni Kamaruzzaman Kamaruzzaman, Nur Anis Ayuni Difference equations. Functional equations. Delay differential equations. Integral equations Best service quality is viewed as an important element that can be used to distinguish and enhance an organization's performance in the time of strong competition. As living standards have changed and there is a demand for better medical treatment to improve lifestyles, there has been an increase in interest in hospital services in recent years. One of the main goals of the global healthcare sector is to improve the quality of hospital services. This research aims to evaluate patient satisfaction for hospital services quality using the Fuzzy Analytic Hierarchy Process (FAHP) method. FAHP is a method that combines the fuzzy and Analytic Hierarchy (AHP) approaches. The objective is to weigh and rank the criteria and sub-criteria that influence patient satisfaction, identify the most affecting factor, and provide insights into enhancing hospital services quality. The results will assist hospital administration in formulating plans that will guarantee patients receive great healthcare services. The results of this study show that tangibles is the most significant factor influencing patient satisfaction for hospital services quality, with the highest weight value of 0.570, followed by responsiveness with weight value of 0.300 while reliability is the least important criteria with the lowest weight value of 0.130. 2023 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/97689/1/97689.pdf Evaluating patient satisfaction with hospital services quality using Fuzzy Analytic Hierarchy Process (FAHP) / Nur Anis Ayuni Kamaruzzaman. (2023) Degree thesis, thesis, Universiti Teknologi MARA, Terengganu.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Difference equations. Functional equations. Delay differential equations. Integral equations
spellingShingle Difference equations. Functional equations. Delay differential equations. Integral equations
Kamaruzzaman, Nur Anis Ayuni
Evaluating patient satisfaction with hospital services quality using Fuzzy Analytic Hierarchy Process (FAHP) / Nur Anis Ayuni Kamaruzzaman
description Best service quality is viewed as an important element that can be used to distinguish and enhance an organization's performance in the time of strong competition. As living standards have changed and there is a demand for better medical treatment to improve lifestyles, there has been an increase in interest in hospital services in recent years. One of the main goals of the global healthcare sector is to improve the quality of hospital services. This research aims to evaluate patient satisfaction for hospital services quality using the Fuzzy Analytic Hierarchy Process (FAHP) method. FAHP is a method that combines the fuzzy and Analytic Hierarchy (AHP) approaches. The objective is to weigh and rank the criteria and sub-criteria that influence patient satisfaction, identify the most affecting factor, and provide insights into enhancing hospital services quality. The results will assist hospital administration in formulating plans that will guarantee patients receive great healthcare services. The results of this study show that tangibles is the most significant factor influencing patient satisfaction for hospital services quality, with the highest weight value of 0.570, followed by responsiveness with weight value of 0.300 while reliability is the least important criteria with the lowest weight value of 0.130.
format Thesis
author Kamaruzzaman, Nur Anis Ayuni
author_facet Kamaruzzaman, Nur Anis Ayuni
author_sort Kamaruzzaman, Nur Anis Ayuni
title Evaluating patient satisfaction with hospital services quality using Fuzzy Analytic Hierarchy Process (FAHP) / Nur Anis Ayuni Kamaruzzaman
title_short Evaluating patient satisfaction with hospital services quality using Fuzzy Analytic Hierarchy Process (FAHP) / Nur Anis Ayuni Kamaruzzaman
title_full Evaluating patient satisfaction with hospital services quality using Fuzzy Analytic Hierarchy Process (FAHP) / Nur Anis Ayuni Kamaruzzaman
title_fullStr Evaluating patient satisfaction with hospital services quality using Fuzzy Analytic Hierarchy Process (FAHP) / Nur Anis Ayuni Kamaruzzaman
title_full_unstemmed Evaluating patient satisfaction with hospital services quality using Fuzzy Analytic Hierarchy Process (FAHP) / Nur Anis Ayuni Kamaruzzaman
title_sort evaluating patient satisfaction with hospital services quality using fuzzy analytic hierarchy process (fahp) / nur anis ayuni kamaruzzaman
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/97689/1/97689.pdf
https://ir.uitm.edu.my/id/eprint/97689/
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score 13.211869