QR Food Ordering System with Data Analytics
Main Article Content
Abstract
As the epidemic starts to slow down and Malaysians are more confident about containing the outbreak with the norm of vaccination, diners have been aching to return to dining rooms, with many restaurants functioning at full capacity, but staffing is an entirely different story. As restaurateurs try to keep their businesses running at full speed and solve limited staff issues, there is only one solution: process automation. This paper aims to design a food ordering system that covers the benefits of automating the ordering process using the QR code and provides visualised insightful information based on the business data. Customers place the food order by scanning the QR code on the restaurant table, and it is then brought to a digital version of the restaurant's menu and make orders. The proposed system automates customer bills after the order, and it helps reduce human error in calculating bills. On the other hand, the proposed system has an admin interface that enables restaurant owners to modify the restaurant's menu, generate QR codes for the new dining table, receive orders from customers, and get automated bills generated by customers' orders. Most importantly, the system allows restaurant owners to have an insightful view of their business data such as visualised charts on sales data, highlighted crucial data and so on to improve decision-making and forecasting future demand using data analysis techniques which are not populated in similar systems currently. Machine learning has become a huge trend nowadays, it is also included to in the proposed system to forecast more valuable data for the business.
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References
K. Khairunnisa, A. Johari, M. Wahab, M. Erdi, M. Ayob, A. Ayob, "The Application of Wireless Food Ordering System," MASAUM Journal of Computing, vol. 1, no. 2, pp. 178-184, 2009.
D. Sharma, "A Review of QR code Structure for Encryption and Decryption Process," International Journal of Innovative Science and Research Technology, vol. 2, no. 2, pp. 13-18, 2017.
J. Qianyu, "Exploring the Concept of QR Code and the Benefits of Using QR Code for Companies," Bachelor’s Thesis, School of Business and Culture, Lapland University of Applied Sciences, Rovaniemi, Finland, 2014 https://www.theseus.fi/bitstream/handle/10024/85796/JI%20QIANYU-FINAL%20THESIS.pdf?sequence=1.
M. Sadiku, T. J. Ashaolu, A. Ajayi-Majebi, S. Musa, "Big Data in Food Industry," International Journal of Scientific Advances, vol. 3, no. 3, pp. 148 – 152, 2020. doi: 10.51542/ijscia.v1i3.5.
H. Smaya, "The Influence of Big Data Analytics in the Industry," Open Access Library Journal, vol. 9, no. 2, pp. 1-12, 2022. doi: 10.4236/oalib.1108383.
P. L. Bokonda, K. Ouazzani-Touhami N. Souissi, "Predictive analysis using machine learning: Review of trends and methods", International Symposium on Advanced Electrical and Communication Technologies (ISAECT), Marrakech, Morocco, 2020, pp. 1-6. doi: 10.1109/ISAECT50560.2020.9523703.
Yhofoodie, Yhofoodie – About Us, 2018. http://yhofoodie.com/content/details_4_13.html.
S. Kelly, Sakae Sushi First iPad Ordering System in Malaysia, 2019. https://www.sunshinekelly.com/2011/10/sakae-sushi-first-ipad-ordering-system.html.
MA Venture Marketing, My QR Menu – About Us, 2021. https://qrmenu.my/.
Google Charts, Google Chart Tools – QR Codes, 2022. https://developers.google.com/chart/infographics/docs/qr_codes.
Yellowfin, FusionCharts Suite XT – jQuery Charts, 2023. https://www.fusioncharts.com/jquery-charts?framework=jquery.
R. Boggarapu, Dynamic Data Visualization with PHP and MySQL: Election Spending, 2023. https://www.kdnuggets.com/2016/03/dynamic-data-visualization-php-mysql.html.
OpenStax, "Linear Regression", Introductory Business Statistics (Version 2.0), OpenStax CNX, 2022. https://openstax.org/books/introductory-business-statistics/pages/13-4-the-regression-equation?query=linear%20regression&target=%7B%22index%22%3A0%2C%22type%22%3A%22search%22%7D#eip-851.
A. Kondas, PHP-ML: Machine Learning library for PHP, 2022. https://php-ml.readthedocs.io/en/latest/.
N. Abdul Latiff, “The Effect of Workplace Spirituality on Employee Performance”, Issues and Perspectives in Business and Social Sciences (IPBSS), vol. 1, no. 1, pp. 22–27, 2021. doi: 10.33093/ipbss.2021.1.3.
R. Kannan, “Leveraging Business Data Analytics and Machine Learning Techniques for Competitive Advantage: Case Study Evidence from Small Businesses”, International Journal of Management, Finance and Accounting (IJOMFA), vol. 2, no. 1, pp. 73–87, 2021. doi: 10.33093/ijomfa.2021.2.1.3.