Functional Salon Website for Service Display and Online Booking Management for Gold and Gorgeous Salon using Prescriptive Analysis and K-Means Clustering

Authors

Dote, Elijah B.

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

Calzada, Christian Kenneth

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

Cudal, Romnick A.

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

David, Ivan Christian C.

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

Dina Cura

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

Ryan Azur

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

Article Information

DOI: 10.51584/IJRIAS.2025.1010000064

Subject Category: Information Technology

Volume/Issue: 10/10 | Page No: 808-820

Publication Timeline

Submitted: 2025-10-18

Accepted: 2025-10-24

Published: 2025-11-06

Abstract

The system was designed to address issues related to manual booking processes, inconsistent service promotion, and lack of customer data utilization. By incorporating Prescriptive Analysis, the system provides intelligent recommendations for staff scheduling, promotional offers, and service optimization based on real-time customer and business data. The K-Means Clustering algorithm categorizes customers into segments according to their booking frequency, preferred services, and spending behavior. These insights enable the salon to implement personalized marketing strategies and loyalty programs that strengthen customer engagement and satisfaction. Gold and Gorgeous Salon, a local full-service salon located in Pasig City, faces challenges in digital promotion and appointment handling. The lack of an organized online platform makes it difficult for customers to book services and for the salon to consistently promote its offers. The business currently relies on walk-ins, referrals, and manual social media replies, which are time-consuming and prone to missed inquiries. The system also features a dynamic dashboard and automated report generation that visualizes key performance indicators such as service demand, booking trends, and revenue distribution. The integration of analytics into the website helps administrators make data-driven decisions, improving both operational management and customer service quality. To ensure system effectiveness, a total of 150 participants composed of one owner, ten employees, one hundred customers, twelve IT professionals, and twenty-seven IT students evaluated the system using the ISO 25010 quality model, focusing on five characteristics: functionality, reliability, usability, efficiency, and maintainability. Results from the Likert-scale evaluation revealed high satisfaction levels across all dimensions, confirming that the system met both user and technical expectations.
The findings demonstrate that combining prescriptive analytics and machine learning algorithms can significantly improve service industry operations, particularly in appointment-based businesses. The developed system not only digitizes booking and service management but also introduces intelligent insights for business growth and strategic planning. It also provides a framework for integrating data analytics into small and medium enterprises (SMEs), encouraging digital transformation in traditional service sectors. Overall, the project offers a scalable and innovative approach that bridges technology and customer relationship management, positioning Gold and Gorgeous Salon for improved competitiveness in the digital marketplace.

Keywords

Prescriptive Analysis, K-Means Clustering, Salon Website

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References

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