Analysis of Customer Satisfaction Quality in the Painting & Welding Monitoring System with the Naïve Bayes Algorithm

Miftahu Rizkiyah (Universitas Pelita Bangsa)
Aswan Supriyadi Sunge (Universitas Pelita Bangsa)
Ahmad Turmudi Zy (Universitas Pelita Bangsa)

International Journal of Educational and Life Sciences (IJELS)
Vol. 3 No. 1 (2025): January 2025

The painting and welding monitoring system represents an advancement intended to improve efficiency and quality in manufacturing procedures. This study evaluates customer satisfaction levels concerning the system by employing the Naive Bayes algorithm. Data was gathered through customer surveys, concentrating on essential factors such as reliability, ease of use, and the accuracy of the information delivered by the system. The Naive Bayes algorithm was applied to forecast customer satisfaction based on the collected survey data. The findings suggest that customer satisfaction levels can be determined with high precision, with reliability being the most significant factor. These results offer important insights for system developers to enhance the functionality of the painting and welding monitoring system.