This study aims to estimate the nonparametric truncated spline path functions of linear, quadratic, and cubic orders at one and two knot points and determine the best model on the variables that affect the timely payment of House Ownership Credit (HOC). In addition, this study aims to test the hypothesis to determine the variables that have a significant effect on punctuality in paying House Ownership Credit (HOC). The data used in this study are primary data. The variables used are service quality and lifestyle as exogenous variables, willingness to pay as mediating variables and on time to pay as endogenous variables. Analysis of the data used in this study is a nonparametric path using R software. The results showed that the best model was obtained on a nonparametric truncated spline linear path model with 2 knot points. The model has the smallest GCV value of 25.9059 and R 2 value of 96.96%. In addition, the results of hypothesis testing on function estimation have a significant effect on the relationship between service quality and willingness to pay, the relationship between service quality and on time to pay, the relationship between lifestyle and willingness to pay, and the relationship between lifestyle and on time pay. The novelty of this research is to model and test the hypothesis of nonparametric regression development, namely nonparametric truncated spline paths of linear, quadratic and cubic orders.
The purpose of this research is to apply nonparametric path analysis on consumer satisfaction and consumer engagement of PT Pertamina. The results of the analysis are expected to be able to provide an estimate of the function in determining consumer satisfaction and consumer engagement of PT Pertamina. This study uses primary data involving five variables, namely Digitalization (X1), Consumer Needs (X2), Consumer Service (X3), Consumer Satisfaction (Y1), Consumer Engagement (Y3). Variable measurement technique is done by calculating the average score on the items. Sampling in this study used a purposive sampling technique with the respondent's criteria being company leaders. The result of this research is the estimation of nonparametric Path function using MARS approach on various interactions. The best estimate of the function of obedient behavior in paying credit is when it involves 3 variables, namely the digitization variable (X1), Consumer Needs (X2), Consumer Service (X3) with a value ofgeneralized cross-validation The smallest (GCV) obtained is 0.2833. The originality of this research is that the variables used are the results of DNA analysis (Discourse Network Analysis), where the analysis extracts information from cyberspace which is then formed as the main issue and becomes a variable. In addition, there is no previous research that examines nonparametric path analysis on PT Pertamina's consumer satisfaction and engagement.The purpose of this research is to apply nonparametric path analysis on consumer satisfaction and consumer engagement of PT Pertamina. The results of the analysis are expected to be able to provide an estimate of the function in determining consumer satisfaction and consumer engagement of PT Pertamina. This study uses primary data involving five variables, namely Digitalization (X1), Consumer Needs (X2), Consumer Service (X3), Consumer Satisfaction (Y1), Consumer Engagement (Y3). Variable measurement technique is done by calculating the average score on the items. Sampling in this study used a purposive sampling technique with the respondent's criteria being company leaders. The result of this research is the estimation of nonparametric Path function using MARS approach on various interactions. The best estimate of the function of obedient behavior in paying credit is when it involves 3 variables, namely the digitization variable (X1), Consumer Needs (X2), Consumer Service (X3) with a value ofgeneralized cross-validation The smallest (GCV) obtained is 0.2833. The originality of this research is that the variables used are the results of DNA analysis (Discourse Network Analysis), where the analysis extracts information from cyberspace which is then formed as the main issue and becomes a variable. In addition, there is no previous research that examines nonparametric path analysis on PT Pertamina's consumer satisfaction and engagement.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.