Beyond the booking: Enhancing spa management application via content-based filtering recommendations and automated reminders

Authors

  • Wan Salfarina Wan Husain Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Kelantan, Bukit Ilmu 18500, Machang, Kelantan, Malaysia
  • Nur Sabrina Mamat Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Kelantan, Bukit Ilmu 18500, Machang, Kelantan, Malaysia
  • Siti Hasrinafasya Che Hassan Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Kelantan, Bukit Ilmu 18500, Machang, Kelantan, Malaysia

DOI:

https://doi.org/10.55573/JISED.118751

Keywords:

Automated Reminder, Content-Based Filtering Recommendation, Spa Management

Abstract

The growing demand for digital services in the spa and wellness industry has become very important for improving operational efficiency and customer experience. Nowadays, many spa businesses use manual appointment scheduling, which can lead to scheduling inefficiencies, missed appointments, and difficulty for customers to book the right treatment. This study was developed for spa management mobile application that utilizes content-based filtering to generate highly personalized service recommendations based on individual user preferences and historical data. Furthermore, the system integrates registration and login, account management, booking, reminder and report modules as core functions. This study adopted a prototype methodology for analysis, development, and evaluation of the mobile application. Moreover, functionality testing was conducted to verify that all major system functions work as required through seven core functional user requirement (UR1- UR7). In conclusion, the developed mobile application proved its potential to boost the operational efficiency, customer experience, and digital transformation of spa management services.  

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Published

2026-10-25

How to Cite

Wan Husain, W. S., Mamat, N. S., & Che Hassan, S. H. (2026). Beyond the booking: Enhancing spa management application via content-based filtering recommendations and automated reminders. Journal of Islamic, Social, Economics and Development, 11(87), 761–780. https://doi.org/10.55573/JISED.118751