scholarly journals Development of Nonparametric Path Model using Multivariate Adaptive Regression Spline (MARS) Method In Compliance Behavior of Paying Credit In Bank

2021 ◽  
Vol 16 ◽  
pp. 686-695
Author(s):  
Endang Krisnawati ◽  
Adji Achmad Rinaldo Fernandes ◽  
Solimun Solimun
Keyword(s):  
Sampling Technique ◽  
Multivariate Adaptive Regression Spline ◽  
Path Model ◽  
Primary Data ◽  
Average Score ◽  
Regression Spline ◽  
A Value ◽  
Compliance Behavior ◽  
Endogenous Variables ◽  
Adaptive Regression

The purpose of this study is to develop a Non-parametric Path with the MARS (Multivariate Adaptive Regression Spline) approach which is applied to the behavior of paying credit compliance at Bank. prospective debtor by a Bank. The data used in this study is primary data using a research instrument in the form of a questionnaire. There are 7 variables, namely 5 exogenous variables in the form of 5C variables (Character (X1), Capacity (X2), Capital (X3), Collateral (X4), Condition of Economy (X5)), and two endogenous variables, namely Punctual Payment (Y1), Obedient Paying Behavior (Y2). Variable measurement technique is done by calculating the average score on the items. Sampling in this study used a purposive sampling technique with the criteria of respondents in the study were mortgage debtors (House Ownership Credit) at Bank X. Respondents obtained in this study were 100 respondents. The analysis used is nonparametric path with Multivariate Adaptive Regression Spline (MARS) approach. 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 4 variables, namely Character (X1), Capacity (X2), Conditions of economy (X5), and On time pay (Y1) with a value of generalized cross-validation The smallest (GCV) obtained is 0.2496. The originality of this research is the development of a nonparametric path with the MARS approach that is able to capture interactions between existing variables and is also able to handle the limitations of the truncated spline to determine the position and number of knot points used when involving many predictor variables. There has been no previous research that has examined the development of a nonparametric path with the MARS approach.

scholarly journals Nonparametric Path Analysis on Consumer Satisfaction and Consumer Engagement in PT Pertamina

2022 ◽  
Vol 21 ◽  
pp. 17-22
Author(s):  
Adji Achmad Rinaldo Fernandes ◽  
Solimun Solimun ◽  
Lailil Muflikhah ◽  
Aisyah Alifa ◽  
Endang Krisnawati ◽  
...  
Keyword(s):  
Path Analysis ◽  
Consumer Satisfaction ◽  
Dna Analysis ◽  
Sampling Technique ◽  
Primary Data ◽  
Average Score ◽  
Consumer Engagement ◽  
Consumer Service ◽  
A Value ◽  
Variable Measurement

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.

Landslide Susceptibility Mapping in the Commune of Oudka, Taounate Province, North Morocco: A Comparative Analysis of Logistic Regression, Multivariate Adaptive Regression Spline, and Artificial Neural Network Models

2020 ◽  
Vol 26 (2) ◽  
pp. 185-200
Author(s):  
Said Benchelha ◽  
Hasnaa Chennaoui Aoudjehane ◽  
Mustapha Hakdaoui ◽  
Rachid El Hamdouni ◽  
Hamou Mansouri ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Landslide Susceptibility ◽  
Vegetation Index ◽  
Multivariate Adaptive Regression Spline ◽  
Landslide Susceptibility Mapping ◽  
Slope Aspect ◽  
Neural Network Models ◽  
Regression Spline ◽  
Adaptive Regression ◽  
Artificial Neural

ABSTRACT Landslide susceptibility indices were calculated and landslide susceptibility maps were generated for the Oudka, Morocco, study area using a geographic information system. The spatial database included current landslide location, topography, soil, hydrology, and lithology, and the eight factors related to landslides (elevation, slope, aspect, distance to streams, distance to roads, distance to faults, lithology, and Normalized Difference Vegetation Index [NDVI]) were calculated or extracted. Logistic regression (LR), multivariate adaptive regression spline (MARSpline), and Artificial Neural Networks (ANN) were the methods used in this study to generate landslide susceptibility indices. Before the calculation, the study area was randomly divided into two parts, the first for the establishment of the model and the second for its validation. The results of the landslide susceptibility analysis were verified using success and prediction rates. The MARSpline model gave a higher success rate (AUC (Area Under The Curve) = 0.963) and prediction rate (AUC = 0.951) than the LR model (AUC = 0.918 and AUC = 0.901) and the ANN model (AUC = 0.886 and AUC = 0.877). These results indicate that the MARSpline model is the best model for determining landslide susceptibility in the study area.

scholarly journals ANALISIS KUALITAS PELAYANAN DENGAN MENGGUNAKAN METODE FUZZY-SERVQUAL PADA KANTOR POS PUSAT KOTA PADANG

Jurnal Ecogen ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 18
Author(s):  
Widia Afriyuni ◽  
Rahmiati Rahmiati ◽  
Muthia Roza Linda
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Consumer Satisfaction ◽  
Sampling Technique ◽  
Total Sample ◽  
Primary Data ◽  
Post Office ◽  
City Center ◽  
A Value ◽  
Analysis Technique

This study aims to analyze: (1) The level of customer satisfaction with the quality provided by the Padang City Center Post Office (2) Service attributes that need to be improved in service quality at the Padang City Center Post Office so as to improve customer satisfaction (3) Quality dimensions services that have the greatest influence on customer satisfaction at the Padang City Center Post Office. The population of this research is the Post Office customers with unknown number of respondents. The sampling technique of this study was accidental sampling technique with a total sample of 100 people. The data used is primary data. The data analysis technique uses the fuzzy-servqual method using Microsoft Excel software. The results showed that: (1) The level of consumer satisfaction is low because the overall servqual (gap) value is negative, namely -0.75 (2) There are 17 attributes that need to be improved from the 22 attributes that are tested to improve the quality of service at the Post Office Padang City Center (3) Dimensions of service quality with the biggest gap is the dimension of responsiveness with a value of -1.32.Keywords: Service Quality, fuzzy-servqual, customer satisfaction

scholarly journals Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility

2020 ◽  
Vol 12 (20) ◽  
pp. 3284
Author(s):  
Paramita Roy ◽  
Subodh Chandra Pal ◽  
Alireza Arabameri ◽  
Rabin Chakrabortty ◽  
Biswajeet Pradhan ◽  
...  
Keyword(s):  
Logistic Regression ◽  
River Basin ◽  
Cross Validation ◽  
Gully Erosion ◽  
Multivariate Adaptive Regression Spline ◽  
Boosted Regression Tree ◽  
Regression Spline ◽  
Adaptive Regression ◽  
Fold Cross Validation ◽  
Very High

The extreme form of land degradation through different forms of erosion is one of the major problems in sub-tropical monsoon dominated region. The formation and development of gullies is the dominant form or active process of erosion in this region. So, identification of erosion prone regions is necessary for escaping this type of situation and maintaining the correspondence between different spheres of the environment. The major goal of this study is to evaluate the gully erosion susceptibility in the rugged topography of the Hinglo River Basin of eastern India, which ultimately contributes to sustainable land management practices. Due to the nature of data instability, the weakness of the classifier andthe ability to handle data, the accuracy of a single method is not very high. Thus, in this study, a novel resampling algorithm was considered to increase the robustness of the classifier and its accuracy. Gully erosion susceptibility maps have been prepared using boosted regression trees (BRT), multivariate adaptive regression spline (MARS) and spatial logistic regression (SLR) with proposed resampling techniques. The re-sampling algorithm was able to increase the efficiency of all predicted models by improving the nature of the classifier. Each variable in the gully inventory map was randomly allocated with 5-fold cross validation, 10-fold cross validation, bootstrap and optimism bootstrap, while each consisted of 30% of the database. The ensemble model was tested using 70% and validated with the other 30% using the K-fold cross validation (CV) method to evaluate the influence of the random selection of training and validation database. Here, all resampling methods are associated with higher accuracy, but SLR bootstrap optimism is more optimal than any other methods according to its robust nature. The AUC values of BRT optimism bootstrap, MARS optimism bootstrap and SLR optimism bootstrap are 87.40%, 90.40% and 90.60%, respectively. According to the SLR optimism bootstrap, the 107,771 km2 (27.51%) area of this region is associated with a very high to high susceptible to gully erosion. This potential developmental area of the gully was found primarily in the Hinglo River Basin, where lateral exposure was mainly observed with scarce vegetation. The outcome of this work can help policy-makers to implement remedial measures to minimize the damage caused by erosion of the gully.

Sign in / Sign up

Export Citation Format

Share Document