Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences)
Syuby Alwi Akbar Attala
Informatics Management, LP3I Jakarta Polytechnic

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
WEB-BASED BACKEND SYSTEM FOR CRM AND ALUMNI TRACER STUDY Syuby Alwi Akbar Attala; hesti Rian
IC-BESTS: International Conference on Business, Economics, Technology, and Social Sciences 2026: The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/icbests.v1i1.186

Abstract

English Language Programs (ELP) is an English course institution that still manages customer data, course history, payments, student attendance, and alumni data manually using paper-based documents such as student ledgers, attendance lists, and teaching reports. This condition causes difficulty in tracing customer history, the absence of a structured alumni database, and the lack of a tracer study mechanism to monitor graduates. This study designs and builds a web-based backend information system integrating Customer Relationship Management (CRM) and alumni tracer study management at ELP. The system was developed using PHP with the CodeIgniter framework, the Model-View-Controller (MVC) concept, and a MySQL database. The Waterfall method was applied, consisting of requirement analysis, system design, implementation, testing, and maintenance, with data collected through observation, interviews, and literature study. The result is a backend system capable of managing customer data, course registration, monthly payments, student attendance, teaching reports, alumni data, and tracer study forms, with access divided between Staff and Admin roles. Black Box Testing results show all features function according to requirements.
Co-Authors Hesti Rian