Published: 2024-12-01
Implementation of Android-Based Salon Booking Application for Customer Service Optimization
DOI: 10.35870/ijsecs.v4i3.3279
Tegar Bayu Samudra, Afwan Anggara
Article Metrics
- Views 0
- Downloads 0
- Scopus Citations
- Google Scholar
- Crossref Citations
- Semantic Scholar
- DataCite Metrics
-
If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).
Abstract
Most beauty salons are still using manual system to manage booking and customer, which made queue long, record incorrect and customer frustrated. Purpose of this research is to create an Android based Salon booking application for IKA Salon (which fulfill operational needs) and thus increase service quality and enhance the customer satisfaction. This study is done by use of Research and Development (R&D) model which consists needs analysis followed by design development system testing. We built it using Flutter (the framework) and Firebase for real-time storage and management of data. It offers user registration, login, service scheduling(booking), customer data management etc Key findings show that application can resolve some manual problems like also queuing, scheduling improvement and recording errorless operation. Additionally, the app brings major improvements in operations and client happiness. Serving mobile service booking and management of schedule, customer data in real-time makes the application play an optimising role for a salon and help its growth of business
Keywords
Information System ; Salon Booking ; Firebase ; Mobile Application ; Real-time Data Management ; Customer Relationship Management
Article Metadata
Peer Review Process
This article has undergone a double-blind peer review process to ensure quality and impartiality.
Indexing Information
Discover where this journal is indexed at our indexing page to understand its reach and credibility.
Open Science Badges
This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.
How to Cite
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 4 No. 3 (2024)
-
Section: Articles
-
Published: %750 %e, %2024
-
License: CC BY 4.0
-
Copyright: © 2024 Authors
-
DOI: 10.35870/ijsecs.v4i3.3279
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
Tegar Bayu Samudra
Informatics Study Program, Faculty of Science and Technology, Universitas Teknologi Yogyakarta, Special Region of Yogyakarta, Indonesia
-
-
-
-
-
-
Guzsvinecz, T., Orbán-Mihálykó, É., Perge, E., & Sik-Lányi, C. (2020). Analyzing the spatial skills of university students with a Virtual Reality application using a desktop display and the Gear VR. Acta Polytechnica Hungarica, 17(2), 35-56. https://doi.org/10.12700/APH.17.2.2020.2.3
-
Putri, D. A., Rahardja, U., Aisyah, E. S., & Qurotul, A. (2023). Revolutionizing customer management: Integration of biometric technology for enhanced security and efficiency. International Journal of Cyber and IT Service Management, 3(1), 55–64. https://ijcitsm.org/index.php/IJCITSM/article/view/59
-
Kumar, R., Tripathi, R., & Srivastava, G. (2022). Blockchain technology for secure and efficient customer management systems. In Lecture Notes in Networks and Systems (pp. 253–262). Springer Singapore. https://doi.org/10.1007/978-981-16-7996-4_24
-
Flutter. (2024). Flutter documentation. Retrieved from https://flutter.dev/docs
-
Firebase. (2024). Firebase documentation. Retrieved from https://firebase.google.com/docs
-
-
-
-
-
-
Kim, J. (2023). Comparative analysis of beauty application technologies in the 4th industrial revolution. Journal of the Korean Society of Cosmetology, 29(1), 239–246. https://doi.org/10.52660/jksc.2023.29.1.239
-
Pambudi, Y. J., & Dwinata, J. P. W. (2023). Customer intention to use AI technology on beauty industry. The Asian Journal of Technology Management, 16(2), 136–151. https://doi.org/10.12695/ajtm.2023.16.2.5
-
Priya, V., Balaji, P., & Priya, M. (2019). Dimensions and dominant groups of customer perception and attitude towards beauty parlour services. International Journal of Intellectual Property Rights, 10(1). https://doi.org/10.34218/ijipr.10.1.2019.001
-
Sridhar, S., & Fang, E. (2019). New vistas for marketing strategy: Digital, data-rich, and developing market (d3) environments. Journal of the Academy of Marketing Science, 47(6), 977–985. https://doi.org/10.1007/s11747-019-00698-y
-
Roy, S., Lassar, W., & Shekhar, V. (2016). Convenience and satisfaction: Mediation of fairness and quality. Service Industries Journal, 36(5–6), 239–260. https://doi.org/10.1080/02642069.2016.1186657
-
Georgievskaya, A. (2023). How artificial intelligence adopts human biases: The case of cosmetic skincare industry. AI and Ethics. https://doi.org/10.1007/s43681-023-00378-2
-
Payne, R., Martin, B., Tuzovic, S., & Wang, S. (2023). Defining biometrics with privacy and benefits: A research agenda. Australasian Marketing Journal, 31(4), 294–302. https://doi.org/10.1177/14413582231167645
-
Elangovan, D., Long, C., Bakrin, F., Tan, C., Goh, K., Yeoh, S., … & Ming, L. (2022). The use of blockchain technology in the health care sector: Systematic review. JMIR Medical Informatics, 10(1), e17278. https://doi.org/10.2196/17278.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.