JOMLAI: Journal of Machine Learning and Artificial Intelligence
Vol. 5 No. 3 (2026): September 2026

Mobile Laundry Application Based on Real-Time Tracking and Firebase

Muhamad Naufal Adzmi (Universitas Catur Insan Cendekia)
Muhammad Farhan Syadida (Universitas Catur Insan Cendekia)
Ridho Taufiq Subagio (Universitas Catur Insan Cendekia)



Article Info

Publish Date
29 Sep 2026

Abstract

Operational management at DEVDAR Laundry currently faces efficiency challenges due to the use of instant messaging apps like WhatsApp for ordering, one-sided status tracking access on the Point of Sale (POS) system, and the absence of order validation to prevent fake orders and unexpected clothing weight changes. These issues cause order notifications to pile up, trigger repetitive inquiries from customers regarding laundry status, and risk financial losses due to inaccurate cost estimations. This study aims to design and develop a mobile-based laundry application that integrates order workflows, real-time status tracking, and centralized operational management. The application was developed using the Flutter framework for a multiplatform user interface and Firebase as the database and real-time data synchronization media, following the Waterfall system development method. The results of Black Box Testing and User Acceptance Testing (UAT) indicate that the application successfully unifies all transaction workflows, provides convenient independent tracking access for customers, and assists management in verifying orders, adjusting actual clothing weights, and managing business cash flow transparently.

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Journal Info

Abbrev

jomlai

Publisher

Subject

Computer Science & IT Engineering

Description

Focus and Scope JOMLAI: Journal of Machine Learning and Artificial Intelligence is a scientific journal related to machine learning and artificial intelligence that contains scientific writings on pure research and applied research in the field of machine learning and artificial intelligence as well ...