Research Article
Effect of Service Quality and Price Fixing Hajj Guidance Group to The Satisfaction of Congregation Perform The Pilgrimage
@INPROCEEDINGS{10.4108/eai.20-10-2020.2305175, author={Muhammad Hanafi Zuardi and Tantan Hermansah and JM. Muslimin and Rahman Ahdari}, title={Effect of Service Quality and Price Fixing Hajj Guidance Group to The Satisfaction of Congregation Perform The Pilgrimage}, proceedings={Proceedings of the 3rd International Colloquium on Interdisciplinary Islamic Studies, ICIIS 2020, 20-21 October 2020, Jakarta, Indonesia}, publisher={EAI}, proceedings_a={ICIIS}, year={2021}, month={4}, keywords={service quality pricing and congregation satisfaction}, doi={10.4108/eai.20-10-2020.2305175} }- Muhammad Hanafi Zuardi
Tantan Hermansah
JM. Muslimin
Rahman Ahdari
Year: 2021
Effect of Service Quality and Price Fixing Hajj Guidance Group to The Satisfaction of Congregation Perform The Pilgrimage
ICIIS
EAI
DOI: 10.4108/eai.20-10-2020.2305175
Abstract
This study was conducted to test the hypothesis whether there is an effect of KBIH service quality on congregational satisfaction, also to test the hypothesis whether the effect of price fixing given by KBIH on congregational satisfaction and to analyze how much influence simultaneously the service quality and pricing given by KBIH on the satisfaction of pilgrims performing the pilgrimage. This type of research is a survey research that makes the behavior of the hajj organizers who are affiliated in 3 (three) KBIH in the Metro city of the Haj season in 2018. The nature of the research is quantitative with a statistical approach. The data was collected by distributing questionnaires and questionnaires using a Likert scale which were then tested for validity and reliability. The population in this study amounted to 351 people. The sampling technique used the Slovin formula with 187 samples. The data analysis technique uses multiple linear regression analysis which previously carried out the classical assumption test including linearity test and normality test. After using multiple regression analysis, the hypothesis is tested using the t test and the F test and knowing the Adjusted R Square.
