Mobile Laundry Application Based on Real-Time Tracking and Firebase

Authors

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

DOI:

https://doi.org/10.55123/jomlai.v5i3.9533

Keywords:

Firebase, Flutter, Laundry Information System, Mobile Application, Real-time Tracking

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.

References

[1] V. Andini, M. Zakariyah, P. S. Informatika, U. T. Yogyakarta, A. Mobile, and L. Informasi, “Peningkatan Pengalaman Pelanggan pada Layanan Laundry Online melalui Optimasi Pemesanan Real-time,” vol. 10, no. 2, pp. 20–29, 2024.

[2] D. Pratama et al., “Pengelolaan Tracking secara Real Time pada Sistem Informasi Laundry berbasis Website Management of Tracking in Real Time on a Website-based Laundry,” vol. 12, no. September, pp. 797–810, 2023.

[3] R. L. Portase and R. Tolas, “SmartLaundry : A Real-Time System for Public Laundry Allocation in Smart Cities,” 2024.

[4] A. Damayanti, R. M. Sj, and A. Nursetyo, “OPTIMALISASI MANAJEMEN TRANSAKSI LAUNDRY DENGAN APLIKASI POS BERBASIS ANDROID ( STUDI KASUS : RUMAH CUCI MOMMY ),” vol. 1, no. 1, pp. 55–65, 2025.

[5] I. Flutter, A. Portal, B. Mobile, D. A. Alfahri, and A. Widarma, “Implementation of Flutter and Firebase in Developing a Mobile News Portal Application,” vol. 3, no. 1, 2025.

[6] Y. M. Santosa, H. M. Azzis, T. Informatika, and P. N. Indramayu, “Sistem Manajemen Absensi Menggunakan Teknologi Face Recognition dan Geolocation,”.

[7] M. Ichsan et al., “Rancang Bangun Sistem Informasi Manajemen Aset Berbasis Mobile Web Di SMP - SMA Olahraga Negeri Sriwijaya Sumatera Selatan,” vol. 26, no. 1, pp. 21–27, 2024.

[8] C. B. Setiawan, “TIN : Terapan Informatika Nusantara Aplikasi Manajemen Data Siswa dan Nilai Berbasis Android Menggunakan Flutter dan Firebase dengan Metode Waterfall TIN : Terapan Informatika Nusantara,” vol. 6, no. 7, pp. 886–894, 2025, doi: 10.47065/tin.v6i7.8747.

[9] L. Y. Sipayung, D. E. Sijabat, and M. Purba, “Aplikasi Layanan Jasa Pada Laundry Berbasis Android Untuk Meningkatkan Pelayanan di Ion Laundry Medan,” vol. 5, no. 1, pp. 36–41, 2024.

[10] Z. Fathah and N. Santoso, “Pengembangan Sistem Aplikasi Pembelajaran Business Process Model and Notation ( BPMN ),” vol. 7, no. 7, 2023.

[11] J. Raja, N. Pangaribuan, T. Adi, P. Sidhi, and B. T. Sundoro, “Pembangunan Aplikasi Pencarian dan Pelayanan Laundry Berbasis Mobile,” no. 43, pp. 103–110, 2023.

[12] B. Hakim, R. Hillary, C. Caroline, N. A. Clarissa, and N. Oktarina, “Design and Development of Mobile-Based Laundry Business Application,” vol. 12, no. 1, pp. 1–11, 2026.

[13] F. D. Davis, "User Acceptance Testing and Technology Acceptance Model for Mobile Applications," Transactions on Software Engineering, vol. 48, no. 4, pp. 1120–1132, 2022.

[14] R. S. Pressman and B. R. Maxim, Software Engineering: A Practitioner's Approach, 9th ed. New York, NY, USA: McGraw-Hill Education, 2020.

[15] M. R. Pratama and H. Sulistiyo, "Integrasi Payment Gateway pada Aplikasi E-Commerce Berbasis Mobile," Jurnal Rekayasa Teknologi Informasi, vol. 7, no. 2, pp. 112–120, 2024.

Downloads

Published

2026-09-29

How to Cite

Muhamad Naufal Adzmi, Muhammad Farhan Syadida, & Ridho Taufiq Subagio. (2026). Mobile Laundry Application Based on Real-Time Tracking and Firebase. JOMLAI: Journal of Machine Learning and Artificial Intelligence, 5(3), 132–141. https://doi.org/10.55123/jomlai.v5i3.9533

Issue

Vol. 5 No. 3 (2026): September 2026

Section

Articles

License

Copyright (c) 2026 Muhamad Naufal Adzmi, Muhammad Farhan Syadida, Ridho Taufiq Subagio

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Copyright (c) 2022 The authors. Published by Yayasan Literasi Indonesia
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

The author(s) whose article is published in the JOMLAI journal attain the copyright for their article and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. By submitting the manuscript to JOMLAI, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that:their article is original, written by the mentioned author(s),

  • has never been published before,
  • does not contain statements that violate the law, and
  • does not violate the rights of others, is subject to copyright held exclusively by the author(s), and is free from the rights of third parties, and that the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

  • Copyright and other proprietary rights related to the article, such as patents,
  • The right to use the substance of the article in its own future works, including lectures and books,
  • The right to reproduce the article for its own purposes,
  • The right to archive all versions of the article in any repository, and
  • The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal (JOMLAI: Journal of Machine Learning and Artificial Intelligence).

Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. JOMLAI will not be held responsible for anything that may arise because of the writer's internal dispute. JOMLAI will only communicate with correspondence authors.

Authors should also understand that their articles (and any additional files, including data sets, and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. JOMLAI allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JOMLAI to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published