ONLINE FOOD ORDERING SYSTEM FEATURING CHATBOT FOR CAFETERIA IN UITM TAPAH
DOI:
https://doi.org/10.24191/mjoc.v8i2.23927Keywords:
Cafeteria, Chatbot, Online Food Ordering System, UiTM TapahAbstract
The popularity of online food ordering systems has surged in recent years, offering a convenient solution for customers to place food orders from cafeterias. This trend is ideal for use in university cafeterias as well, which are typically overcrowded and noisy, particularly during peak hours. Therefore, this project aimed to address these challenges by designing a userfriendly web-based food ordering system in the context of cafeterias at the University Teknologi MARA (UiTM) Tapah Campus. The primary objective was to simplify the process for customers to select their desired meals, add them to a virtual cart, and effortlessly submit their orders and eliminating the need for long queues. The next objective is to enhance usability; hence, we integrated the Google Dialogflow chatbot feature into the website. The chatbot is an intelligent assistant that provides guidance, answers queries, and ensures a seamless ordering experience. The last objective is to validate the usability of the proposed system. Following the systems development life cycle (SDLC), our project successfully delivered an online food ordering system with an integrated chatbot for the universities’ cafeteria. The system addresses queuing issues, improves cafeteria operations, and enriches customer experiences. The system received about 70% positive feedback and was considered easy to access and use by most users. Meanwhile, the chatbot's usability produced highly positive feedback with 100% of the users thought the chatbot was easy to use and helpful
References
Adam, M., Wessel, M., & Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427–445. https://doi.org/10.1007/s12525-020-00414-7
Adamopoulou, E., & Moussiades, L. (2020). An Overview of Chatbot Technology. IFIP Advances in Information and Communication Technology (Vol. 584 IFIP). Springer International Publishing. https://doi.org/10.1007/978-3-030-49186-4_31
Ameya Shastri Pothukuchi, Lakshmi Vasuda Kota, V. M. (2023). IMPACT OF GENERATIVE AI ON THE SOFTWARE DEVELOPMENT LIFE CYCLE (SDLC). International Journal of Creative Research Thouhgts (IJCRT), 11(8), 287–291.
Andreoni, G. (2023). Investigating and Measuring Usability in Wearable Systems: A Structured Methodology and Related Protocol. Applied Sciences (Switzerland), 13(6). https://doi.org/10.3390/app13063595
Aslam, F. (2023). The Impact of Artificial Intelligence on Chatbot Technology : A Study on the Current Advancements and Leading Innovations The Impact of Artificial Intelligence on Chatbot Technology : A Study. European Journal of Technology, 7(2), 62–72.
Haristiani, N. (2019). Artificial Intelligence (AI) Chatbot as Language Learning Medium: An inquiry. Journal of Physics: Conference Series, 1387(1). https://doi.org/10.1088/1742-6596/1387/1/012020
Hatim, S. M., Zamani, N. A. M., Latif, L. M. A., Ahmadkardri, M., Ahmad, N., Kamaruddin, N., & Hussain, A. (2019). E-FoodCart: An online food ordering service. International Journal of Innovative Technology and Exploring Engineering, 8(4S), 203–207.
Ilamsyah, I., Robertz, A., & Fitriani, R. R. (2019). The Web-based Internet Cafe (RIC) Raharja Ordering System. Aptisi Transactions On Technopreneurship (ATT), 1(1), 93–100. https://doi.org/10.34306/att.v1i1.62
Islam, M. R. Al. (2023). Adding Context Awareness To Chatbots With Microservices: Case Forest Companion. Tampere University.
Kan, C. W., & Wai, K. C. (2020). Online Ordering and Reservation System. In 4th Global Conference on Computing & Media Technology (2020) (pp. 1–5). EasyChair preprints.
Kurniawan, R., Sutawan, A., & Amalia, R. (2019). Information System Ordering Online Restaurant Menu At Hover Cafe. Aptisi Transactions on Management (ATM), 4(1), 32–40. https://doi.org/10.33050/atm.v4i1.1082
Li, C., Mirosa, M., & Bremer, P. (2020). Review of online food delivery platforms and their impacts on sustainability. Sustainability (Switzerland), 12(14), 1–17. https://doi.org/10.3390/su12145528
Mahalakshmi, M., & Sundararajan, M. (2013). Traditional SDLC Vs Scrum Methodology – A Comparative Study. International Journal of Emerging Technology and Advanced Engineering, 3(6), 2–6.
Nicolescu, L., & Tudorache, M. T. (2022). Human Computer Interaction in Customer Service: The Experience with AI Chatbots—A Systematic Literature Review. Electronics (Switzerland), 11(10). https://doi.org/10.3390/electronics11101579
Nirala, K. K., Singh, N. K., & Purani, V. S. (2022). A survey on providing customer and public administration based services using AI: chatbot. Multimedia Tools and Applications (Vol. 81). Springer US. https://doi.org/10.1007/s11042-021-11458-y
Nizar, N. N. A., Ishak, S. Z., Shuib, A., Mohamed, W. M. W., Sulaiman, S. A., Zainal, M. I., & Taib, M. N. (2023). Awareness Towards Social Security Protection Among Food Delivery Riders In Selangor And. Malaysian Journal of Computing, 8(1), 1427–1435. https://doi.org/10.24191/mjoc.v8i1.20519
Roy, D., Spiliotopoulou, E., & de Vries, J. (2022). Restaurant analytics: Emerging practice and research opportunities. Production and Operations Management, 31(10), 3687–3709. https://doi.org/10.1111/poms.13809
Samariya, D., Raval, D., & Matariya, A. (2015). Task Collaborative Digital Ordering System for Restaurant Using Handheld Devices. IJCSN International Journal of Computer Science and Network, 4(1), 2277–5420. Retrieved from www.IJCSN.org
Shakhovska, N., Basystiuk, O., & Shakhovska, K. (2019). Development of the speech-to-text chatbot interface based on google API. CEUR Workshop Proceedings, 2386(May), 212–221.
Tamara, C. A. J., Tumbuan, W. J. F. A., & Gunawan, E. M. (2023). Chatbots In E-Commerce: A Study Of Gen Z Customer Experience And Engagement – Friend Or Foe?, 11(3), 161–175.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Azuwa Jalaludin, Azilawati Azizan, Nurkhairizan Khairudin

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




