Developing a Web Application for a Computer Store Management System Supporting the Analysis of Customer Demand for Product Recommendation using Artificial Intelligence

Abstract

This research aims to 1) analyze, design, and develop a web application for a computer store management system supporting the analysis of customer demand for product recommendation using artificial intelligence, 2) assess the effectiveness of the web application for a computer store management system supporting the analysis of customer demand for product recommendation using artificial intelligence. The data used for experimentation include product information, purchase orders, payment data, and user preferences for products. The research tools include a web application for a computer store management system supporting the analysis of customer demand for product recommendation using artificial intelligence developed using PHP, JavaScript, HTML, Bootstrap 5, and CSS connected to a MySQL database, developed the data analysis section according to customer needs for product recommendations using artificial intelligence using the decision tree concept learned with WEKA, and data collection tools, such as a web application performance evaluation questionnaire. The project follows the Software Development Life Cycle (SDLC) and the web application performance is evaluated by five experts selected through purposive sampling. The research findings indicate that 1) with the AI-driven application for the computer equipment store management system with AI-driven computer requirement analysis, administrators can manage various data and users can use artificial intelligence technology to analyze computer needs as an alternative to purchasing products, and 2) the efficiency of the proposed system evaluated by five experts is at the highest ̅=4.91, S.D.=0.16). level (X