Aisyah Alifa, Solimun, Maria Bernadetha Theresia Mitakda, Adji Achmad Rinaldo Fernandes, Waego Adi Nugroho
This study wants to compare the Integrated Cluster Analysis and Path model with various cluster validity indices and distance measures on Character, Capacity, Capital, Collateral, Condition, Intention to Pay Obedience, Punctuality of Payment of Bank X Creditors. The data used in this study are primary data. The variables used in this study are character, capacity, capital, collateral, condition, intention to pay obedience, punctuality of payment bank X creditors. The data were obtained through a questionnaire with a likert scale. Measurement of variables in primary data using the average score of each item. The sampling technique used was purposive sampling. The object of observation is the creditor as many as 100 respondents. Data analysis was carried out quantitatively, to explain each of the variables studied, a descriptive analysis was carried out first, then an Integrated Cluster Analysis and path analysis was carried out with the average linkage method on various cluster validity indices, namely Gap, Index C, Global Sillhouette., and Goodman-Kruskal, as well as three distance measures, namely the Euclidean, Manhattan, and Minkowski distances. This research uses R software. The integrated cluster and path analysis with the Gap Index, Index C, Global Sillhouette, and Goodman-Kruskal with the Manhattan Distance is better than the Gap, Index C, Global Sillhouette, and Goodman-Kruskal with the Euclidean and Minkowski Distance. The novelty in this research is the application of Integrated Cluster Analysis and path model approach to compare 4 cluster validity indices, namely Gap Index, C Index, Global Sillhouette, and Goodman-Kruskal, and three distance measures, namely Euclidean, Manhattan, and Minkowski distances. simultaneously. © 2021 Little Lion Scientific
Brawijaya University, Faculty of Mathematics and Natural Sciences, Department of Statistics, Indonesia