Implementation of Automatic Mobile Application for Ordering Flower Arrangements and Partner History using Android-Based Human-Centered Design (Case Study: Rensya Florist Cinta)

Authors

  • Annisa Widya Sudarto Department of Informatics Engineering, Universitas Pamulang
  • Yono Cahyono Department of Informatics Engineering, Universitas Pamulang

DOI:

https://doi.org/10.59934/jaiea.v5i3.2588

Keywords:

Flower Arrangement Ordering, Partner History, Human-Centered Design, Mobile Application, Android System

Abstract

Toko Cinta Rensya Florist is a service provider specializing in flower arrangements that aims to improve service efficiency, as it currently does not rely on a formal system. Orders are still placed through phone calls and WhatsApp, transaction records still rely on downloaded bank statements, and partner history has not been recorded, making it time-consuming to retrieve partner information for future orders. This research aims to design a more organized Android-based system for order processing, transaction recording, and partner history management by applying the Human-Centered Design (HCD) approach, which consists of four stages: understanding the user context, specifying user requirements, producing a design solution (mockup), and evaluating the design. Testing was conducted through a System Usability Scale (SUS) survey administered to the business owner, staff, and prospective users. The test results show an average score of 73 with a grade scale of “B” in the “Good” category, indicating that the application is acceptable and can be used effectively by users. It is concluded that applying the HCD method produces a flower-arrangement ordering system that is effective, efficient, and well suited to the needs of Toko Cinta Rensya Florist users.

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Published

2026-06-30

How to Cite

Sudarto, A. W., & Yono Cahyono. (2026). Implementation of Automatic Mobile Application for Ordering Flower Arrangements and Partner History using Android-Based Human-Centered Design (Case Study: Rensya Florist Cinta). Journal of Artificial Intelligence and Engineering Applications (JAIEA), 5(3), 4974–4980. https://doi.org/10.59934/jaiea.v5i3.2588

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