Comparison of Linear and Exponential Regression Models for Analyzing the Impact of QRIS on Kereta Api Indonesia

Abstract

This research is motivated by the importance of Quick Response Code Indonesian Standard (QRIS) for passengers of Kereta Api Indonesia (KAI), the Indonesian Railway Company. It explores the relationship between the adoption of QRIS and customer satisfaction in KAI restaurants. The research aims to understand the influence of QRIS utilization effect on customer satisfaction. The sampling method used in data collection is Disproportionate Stratified Random Sampling. The instruments used in this research are transaction convenience questionnaires and customer satisfaction questionnaires, which were analyzed using statistical techniques. The data were analyzed using linear and exponential regression models. Based on the data analysis, it was found that: (1) There is a significant effect of QRIS usage on customer satisfaction, with both linear and exponential regression models, the linear regression equation is shown as y=41,263+2,080x, and the exponential equation is shown as y=64,955e^0,016x. (2) Linear and exponential regression have similar R-squared values, indicating that the adoption of QRIS is improving transaction efficiency and enhancing customer experience in Indonesian Railway restaurants. The conclusion of this research is that there is a significant effect of QRIS in enhancing transaction efficiency and customer experience within Indonesian Railway restaurants.