IMPLEMENTASI SISTEM PEMESANAN MAKANAN BERBASIS QR CODE UNTUK USAHA MIKRO, KECIL DAN MENENGAH
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Jul 31, 2024
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Abstract
This research aims to improve efficiency in providing menu services to customers and efficient use of paper to satisfy cafe customers while saving paper or paperback costs. QR code technology was chosen because it provides a fast, easy, convenient, accurate, and automatic data collection method. Integrating QR code technology into the menu presentation management system allows the cafe to provide food and drinks ordered by customers precisely, effectively, and efficiently. System development using the waterfall method, commonly called linear sequential, starts from analysis, design, coding, testing, and maintenance stages. Based on hypothesis testing, the Sig value is smaller than 0.05, so H0 is rejected, and H1 is accepted. Implementing a QR Code-Based Food Ordering System for Micro, Small, and Medium Enterprises, with a Radio Kopi Cafe case study, increases efficiency. This system shows that the average time before using the system is 7.42 minutes and the average time after using the system is 4 minutes, so the results of the study concluded that the development of this system can be used to speed up the ordering process on the Implementation of QR Code-Based Food Ordering System for Micro, Small and Medium Enterprises with a case study of Radio Kopi Cafe.
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Manurung, R., & Sipahutar, T. (2024). IMPLEMENTASI SISTEM PEMESANAN MAKANAN BERBASIS QR CODE UNTUK USAHA MIKRO, KECIL DAN MENENGAH. Electro Luceat, 10(1), 11-21. https://doi.org/10.32531/jelekn.v10i1.780
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
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[5] D. N. Berliani, D. D. Marta, M. A. Amar, S. D. N. Rahmadani, and W. A. Rahma, “tilization of QRIS among Micro, Small, and Medium Enterprises (MSMEs): A Study on Perception and Intentions in the City of Pekalongan,” J. Econ. Excell. Ibnu Sina, vol. 1, no. 3, 2023.
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[7] G. L. Intal, J. D. Payas, L. M. Fernandez, and B. M. Domingo, “Restaurant Information System (RIS) with QR Code to Improve Service Operations of Casual Fine Dining Restaurant,” 2020, doi: 10.1109/ICIEA49774.2020.9102036.
[8] M. R. T. G, L. C. A, Nandhana. S, P. Devi. M, and L. Shree. G. A, “Futuristic Ordering: Unearthing the Method of Ordering Food through QR Code in Restaurants with Sophisticated Insight,” Int. J. All Res. Educ. Sci. Methods, vol. 12, no. 03, 2024, doi: 10.56025/ijaresm.2023.1201242046.
[9] T. Sharma, S. Jha, S. Gupta, V. Singh, and S. Gautam, “Cashless & Online Qr-Code Based Canteen Management System,” Int. Res. J. Mod. Eng. Technol. Sci., no. 03, 2021.
[10] T. Žurbi and D. Gregor-Svetec, “Use of QR Code in Dairy Sector in Slovenia,” SAGE Open, vol. 13, no. 2, 2023, doi: 10.1177/21582440231177028.
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[13] R. Listiawati, R. Vidyasari, and N. Novitasari, “QRIS Efficiency in Improving Digital Payment Transaction Services for Culinary Micro-Small and Medium Enterprises in Depok City,” Oper. Res. Int. Conf. Ser., vol. 3, no. 2, 2022, doi: 10.47194/orics.v3i2.133.
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[15] A. Arora, “Table Reservation and Meal Ordering System Using QR Code,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 9, no. VII, 2021, doi: 10.22214/ijraset.2021.36492.
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[17] T. H. Sholikhah and N. I. Soesilo, “QRIS’ Impacts on Turnover Based on Business Scale and Sectoral Study on MSME,” Indones. J. Multidiscip. Sci., vol. 2, no. 11, 2023, doi: 10.55324/ijoms.v2i11.613.
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[19] J. Frost, “Statistics by Jim - Statistics By Jim,” Jim Frost, 2023.
[20] H. Sulistyaningsih and D. Hanggraeni, “The Impact of Technological, Organisational, Environmental Factors on The Adoption of QR Code Indonesian Standard and Micro Small Medium Enterprise Performance,” Turkish J. Comput. Math. Educ., vol. 12, no. 14, 2021.
[21] P. Mishra, C. M. Pandey, U. Singh, A. Gupta, C. Sahu, and A. Keshri, “Descriptive statistics and normality tests for statistical data,” Ann. Card. Anaesth., vol. 22, no. 1, 2019, doi: 10.4103/aca.ACA_157_18.
[22] N. Mvududu and J. Shannon, “Descriptive Statistics,” in Reimagining Research: Engaging Data, Research, and Program Evaluation in Social Justice Counseling, 2023.