Design of Customer Satisfaction Application at BCA Kcp Rengasdengklok Using C.45 Algorithm Method

Abstract

Bank BCA always improves service quality by the slogan "Always By Your Side". The assessment consists of 4 attributes (time, accuracy, focus, and satisfaction). Each attribute has a weighted value of 1 (very dissatisfied) to 5 (very satisfied). The assessment is still done manually (using paper), therefore the authors in this study used the C.45 algorithm with 3 tests carried out to produce a classification obtained that the accuracy value reached 88.75% with an AUC value of 0.744 and testing on the application that was made resulted in 0.722. It can be concluded that service assessment at BCA KCP Rengasdengklok belongs to a fairly good classification group because its AUC value is between 0.70-0.80.

Performance Analysis of Tree-Based Algorithms in Predicting Employee Attrition

“…One of the tree-based algorithms, namely C45, its application in classifying the understanding of STIKOM students has an accuracy rate of 87.50% [23] . C45 can also achieve an accuracy value of 88.75% with an AUC value of 0.744 and testing on applications made in BCA customer satisfaction [24] . The application of the C45 algorithm can be optimized, such as the addition of swarm particle optimization which achieves an accuracy of 97.13% in measuring the readiness of junior high school students to face the national exam [25] .…”