Online Food Ordering App

Penulis

  • Rafif Syari Hidayah Universitas Mercu Buana, Indonesia
  • Rehan Saputra Universitas Mercu Buana, Indonesia
  • Krisna Septiawan Universitas Mercu Buana, Indonesia
  • Muhammad Aditya Ramadhan Universitas Mercu Buana, Indonesia
  • Misni Misni Universitas Mercu Buana, Indonesia

DOI:

https://doi.org/10.22441/collabits.v3i2.31236

Kata Kunci:

Online Food Ordering, User Experience, Transaction Security, Business Intelligence, Recommender System

Abstrak

Online food ordering systems have become an important component of digital commerce because users increasingly expect fast, convenient, and reliable transaction processes. However, system development should not focus only on functional ordering features; it should also consider usability, transaction security, and the ability to transform transaction records into information for future analytical use. This study aims to design and develop a web-based Online Food Ordering Application using the Software Development Life Cycle (SDLC) Waterfall approach. User and seller requirements are translated into major functions including registration and authentication, food and beverage browsing, shopping cart management, checkout, payment, order history, product management, and order confirmation. A conceptual framework is introduced to explain the relationships among user needs, system design, usability, security, transaction efficiency, and the analytical utilization of transaction data. The application was implemented using PHP with HTML and CSS for the interface and a database for operational records. Functional validation was conducted using black-box testing on the documented login, menu, and payment scenarios. All documented scenarios produced the expected outputs and were categorized as passed. The results show that the prototype supports the basic food ordering workflow. Nevertheless, the present evaluation is limited to functional testing and does not yet provide quantitative usability measurements, comprehensive security testing, transaction-time benchmarking, or experimental evaluation of recommender and Business Intelligence modules. The stored transaction and order-history data are therefore positioned as a foundation for future behavioral analytics, Business Intelligence dashboards, and personalized food recommendation development.

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Biografi Penulis

Rafif Syari Hidayah, Universitas Mercu Buana

Rehan Saputra, Universitas Mercu Buana

Krisna Septiawan, Universitas Mercu Buana

Muhammad Aditya Ramadhan, Universitas Mercu Buana

Misni Misni, Universitas Mercu Buana

Referensi

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Diterbitkan

2026-05-23

Cara Mengutip

[1]
R. S. Hidayah, R. Saputra, K. Septiawan, M. A. Ramadhan, dan M. Misni, “Online Food Ordering App”, Collabits, vol. 3, no. 2, hlm. 151–169, Mei 2026.

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