Brilliance: Research of Artificial Intelligence
Vol. 6 No. 1 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026

Web-Based Customer Relationship Management (CRM) System At Enc Audio to Improve Customer Satisfaction

Khairun Nisa (University Royal Asahan Sumatera Utara, Indonesia)
Dewi Maharani (University Royal Asahan Sumatera Utara, Indonesia)
Santoso Santoso (University Royal Asahan Sumatera Utara, Indonesia)



Article Info

Publish Date
27 Apr 2026

Abstract

This study aims to design and develop a web-based Customer Relationship Management (CRM) information system at ENC AUDIO, a business engaged in musical instrument and sound system rental services, in order to improve customer satisfaction and service quality. The main problem faced is that customer data, transaction records, and rental schedules are still managed manually, which often leads to data recording errors, scheduling conflicts, difficulties in tracking customer history, and inefficiencies in service processes. The research method used is the Operational CRM approach, with data collection techniques including observation, interviews, and documentation. The system is developed using the CodeIgniter framework and MySQL database, while system testing is conducted using the black box testing method to ensure that all system functions operate properly according to user requirements. The results of this study indicate that the developed CRM system is able to automate customer service processes, manage booking schedules in real time, and store customer transaction history in a structured and integrated manner. In addition, features such as online booking, automated scheduling, and live chat significantly enhance communication between customers and administrators. Therefore, the implementation of this system improves operational efficiency, reduces errors, and strengthens customer relationships, ultimately contributing to increased customer satisfaction and business sustainability.

Copyrights © 2026






Journal Info

Abbrev

brilliance

Publisher

Subject

Decision Sciences, Operations Research & Management Mathematics Other

Description

Brilliance: Research of Artificial Intelligence is The Scientific Journal. Brilliance is published twice in one year, namely in February, May and November. Brilliance aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest ...