A Web-Based Management System Utilizing Descriptive Analytics and Scheduling Algorithms for SJOE Pet Supply

The development of a web-based management system that integrates descriptive analytics and scheduling algorithms helps overcome the limitations of manual processes such as inefficiency, data inaccuracy, and lack of real-time updates. Through automation and data analysis, the system enhances productivity, minimizes human error, and enables informed decision-making. By centralizing operations, it ensures improved accuracy, accessibility, and overall business performance. The combination of descriptive analytics and scheduling algorithms strengthens operational efficiency and organizational intelligence. Descriptive analytics reveals patterns and performance insights, while scheduling algorithms automate and optimize resource allocation in real time. Together, they create an adaptive, intelligent, and reliable management solution that continuously improves business operations. SJOE Pet Supply, established in 2018, struggles with managing appointments, inventory, and customer records due to its manual system. To address these challenges, the proposed PetStreet system aims to automate core business processes and enhance operational efficiency. It incorporates descriptive analytics for data-driven insights and a scheduling algorithm to optimize appointments and staff workload management.
Applied Developmental Research, focusing on designing and implementing a Web-Based Management System for SJOE Pet Supply, evaluated through the ISO/IEC 25010 software quality model. The evaluation centered on Functionality, Reliability, Efficiency, Usability, and Security to ensure the system performs accurately, operates smoothly, and safeguards sensitive business data. Data collection was conducted before and after system development, using interviews, surveys, and a Likert-scale questionnaire based on ISO 25010 criteria to measure user satisfaction and system performance. The Agile Methodology served as the development framework, emphasizing iterative development, continuous testing, and feedback integration to rapidly adapt to changes and refine features. Each phase aligned with ISO 25010 standards, ensuring that the system was functional, reliable, efficient, user-friendly, and secure to meet the operational needs of SJOE Pet Supply.
PetStreet is a web-based management system developed for SJOE Pet Supply to automate grooming appointments, manage client and pet records, and control inventory efficiently. Based on the ISO/IEC 25010 evaluation, both users and technical experts strongly agreed that the system is highly functional, reliable, efficient, user-friendly, and secure.
The study successfully developed and evaluated the PetStreet system, meeting all ISO/IEC 25010 quality standards. It proved to be an effective, secure, and user-centered solution for improving operational processes in the pet care industry.
Future enhancements for PetStreet include developing a mobile version, strengthening security features, and enabling offline functionality. It is also recommended to integrate advanced analytics, payment options, and scalability features to support business growth and wider adoption.

Web-Based Management System, Descriptive analytics, scheduling algorithms, ISO 25010 standards

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