APPLICATION OF MACHINE LEARNING ON CUSTOMERS OF REGIONAL AIRLINE COMPANIES WITH THE NAIVE BAYES METHOD
Abstract
This book discusses the application of the Naïve Bayes method in classifying the level of customer satisfaction with PDAM services in Rantauprapat City. With a machine learning approach, the author analyzes data based on water quality, availability, price, and service. The classification results show that this method is able to provide accurate predictions regarding public satisfaction. The research was conducted using the Orange application, so that the data visualization and processing process becomes more effective and practical. This book is suitable for students, researchers, and practitioners who want to understand how technology can be used to improve the quality of public services. With applicable language and based on real case studies, this book is a strategic guide in processing customer data intelligently and efficiently.
