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All Journal International Journal of Educational and Life Sciences (IJELS)
Miftahu Rizkiyah
Universitas Pelita Bangsa
Religion Humanities Public Health Social Sciences Other

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Analysis of Customer Satisfaction Quality in the Painting & Welding Monitoring System with the Naïve Bayes Algorithm Miftahu Rizkiyah; Aswan Supriyadi Sunge; Ahmad Turmudi Zy
International Journal of Educational and Life Sciences Vol. 3 No. 1 (2025): January 2025
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijels.v3i1.169

Abstract

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.
Co-Authors Ahmad Turmudi Zy Aswan Supriyadi Sunge