Online Food Ordering System
Open accessAbstract
Our proposed system is an online food ordering system that enables ease for the customers. It overcomes the disadvantages of the traditional queueing system. Our proposed system is a medium to order online food hassle free from restaurants as well as mess service. This system improves the method of taking the order from customer. The online food ordering system sets up a food menu online and customers can easily place the order as per their wish. Also with a food menu, customers can easily track the orders. This system also provides a feedback system in which user can rate the food items. Also, the proposed system can recommend hotels, food, based on the ratings given by the user, the hotel staff will be informed for the improvements along with the quality. The payment can be made online or pay-on-delivery system. For more secured ordering separate accounts are maintained for each user by providing them an ID and a password.
AI snapshot
Written from the paper’s full text.
TL;DR
The paper proposes an Android-based online food ordering system that lets customers order from restaurants or mess/tiffin services, track orders, rate food, and pay online or on delivery. It describes intended features, user roles, and search options, but reports no implementation or evaluation results.
Key findings
- The proposed system aims to replace queue-based ordering and serve both restaurants and mess services, with separate user accounts secured by login credentials.
- Customers can search providers by GPS-detected location, price per plate, rating, or distance; a portion of a Geo-Hashing Algorithm is mentioned for location search.
- It includes feedback and ratings, recommendations to providers, order tracking, messaging/notifications, and payment via online or pay-on-delivery/cash.
- Initial scope is 10–12 restaurants and mess services across 2–3 areas, with three roles: consumer, restaurant/mess owner, and mess employee.
Methods
- Design/proposal paper; no empirical study. It reviews nine prior works and then outlines an Android/IoT-based wireless ordering architecture.
- No dataset, sample, implementation, or statistical analysis is reported. The only quantitative scope is the initial 10–12 restaurants/mess in 2–3 areas.
- Main analysis is conceptual: objectives and architecture, including search modes and user/provider functions.
Limitations
- The paper does not explicitly state limitations. Evident: no prototype, deployment, test results, or performance data are presented.
- Evident: claims about security, usability, accuracy, reliability, and handling many orders are stated as objectives, not validated.
- Evident: details on payment security, database design, algorithm implementation, and evaluation methods are absent.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
- Classified as probably not a substantial claim. 1
- May combine two claims. 1
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenA wide range of people can use the proposed system, provided they know how to operate an Android smartphone.
“Scope of proposed system is justifiable because in large amount peoples are shifting to diff erent cities so wide range of people can make a use of proposed system.”
- Also stated in: § 5. CONCLUSION · plain
“Wide range of people can use this if they know how to operate android smart phone.”
- Also stated in: § 5. CONCLUSION · plain
“Scope of the proposed system is justifiable because in large amount peoples are shifting to different cities so wide range of people can make a use of proposed system.”
Quote in the paperNot a substantial claim- Rests on an assumption: A large number of people are shifting to different cities.
- Also stated in: § 5. CONCLUSION · plain
The paper relies on this without support.
There is a lack of a full-fledged application that can fulfill customer requirements by providing food from restaurants as well as from mess service.
“Due to lack of a full fledge application that can fulfill the customer requirements by providing him food from restaurants as well as from mess service, there is a need for the system.”
The paper relies on this without support.
Most mess users are people who have shifted for various reasons to new cities.
“Again, the idea comes that mostly mess users are person who are shifted for various reason in new cities.”
The paper relies on this without support.
A large number of people are shifting to different cities.
“Scope of proposed system is justifiable because in large amount peoples are shifting to diff erent cities so wide range of people can make a use of proposed system.”
“Scope of the proposed system is justifiable because in large amount peoples are shifting to different cities so wide range of people can make a use of proposed system.”
The paper relies on this without support.
The use of smartphones is increasing.
“Increasing use of smart phones is also considered as a motivation, so that any users of this system get all service on single click.”
The paper relies on this without support.
Android devices have gained immense popularity and have revolutionized the use of mobile technology in the automation of routine tasks in wireless environments.
“Android devices have gained immense popularity and have revolutionized the use of mobile technology in the automation of routine task in wireless environment.”
The paper relies on this without support.
When a person shifts to a new city, he or she must find a source for hygienic and quality food and will search and select a restaurant or home-based food service based on category and veg/non-veg preference.
“When a person shifted to new city he has to find source for hygienic and quality food, so he/she will search and select restaurant or home-based food service based on his category and as well as service that is veg or non-veg.”
Cites
A Study on Tam: Analysis of Customer Attitudes in Online Food Ordering System
Alagoz, S. M., & Hekimoğlu, H. (2012) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2012.09.195 · Cited by 154 · see citing works
A customizable wireless food ordering system with realtime customer feedback
Samsudin, N. A., Ahmad Khalid, S. K., Mohd Kohar, M. F. A., Senin, Z., & Ihkasan, M. N. (2011) · 2011 IEEE Symposium on Wireless Technology and Applications (ISWTA) · doi:10.1109/iswta.2011.6089405 · Cited by 47 · see citing works
Implementation of Smart Restaurant with e-menu Card
D.Jakhete, M., & C. Mankar, P. (2015) · International Journal of Computer Applications · doi:10.5120/21361-4374 · Cited by 34 · see citing works
Automated Food Ordering System
(2018) · doi:10.54692/lgurjcsit.2018.020457 · Cited by 19 · see citing works
Digital ordering system for restaurant using Android
Bhargave, A., Jadhav, N., Joshi, A., Prachi, O., & S R, L. (2013) · International Journal of Scientific and Research Publications (IJSRP) · doi:10.5281/zenodo.19306084
Flagged first, then by citations
2 of the 8 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- [1]1. Kirti Bhandge, Tejas Shinde, Dheeraj Ingale, Neeraj Solanki, Reshma Totare,"A Proposed System for Touchpad Based Food Ordering System Using Android Application", International Journal of Advanced Research in Computer Science Technology (IJARCST 2015).
- [3]3. Resham Shinde, Priyanka Thakare, Neha Dhomne, Sushmita Sarkar, "Design and Implementation of Digital dining in Restaurants using Android", International Journal of Advance Research in Computer Science and Management Studies 2014.
- [5]5. Khairunnisa K., Ayob J., Mohd. Helmy A. Wahab, M. Erdi Ayob, M. Izwan Ayob, M. Afif Ayob, "The Application of Wireless Food Ordering System" MASAUM Journal of Computing 2009.
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Key adaptations of SME restaurants in Malaysia amidst the COVID-19 Pandemic
Lai, H. B. J., Abidin, M. R. Z., Hasni, M. Z., Karim, S. A., & Ishak, F. A. C. (2020) · International Journal of Research in Business and Social Science (2147-4478) · doi:10.20525/ijrbs.v9i6.916 · Cited by 43 · see citing works
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A Study on Consumer Preferences with Reference to Online Food Delivery Amenities
Pai, S., & Mayya, S. (2022) · International Journal of Management Technology and Social Sciences · doi:10.47992/ijmts.2581.6012.0214 · Cited by 12 · see citing works
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Arduino Based Restaurant Menu Ordering System
(2023) · doi:10.2478/amset-2023-0008 · Cited by 4 · see citing works
An Empirical Study of Consumer Attitude Toward Adoption of Online Food Ordering App
Khandelwal, U., & Singh, T. P. (2021) · International Journal of E-Services and Mobile Applications · doi:10.4018/ijesma.285549 · Cited by 5 · see citing works
Canteen Food Ordering and Managing System
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Factors Influencing Consumers Intention towards Online Food Purchasing in Phnom Penh
Long, B. (2023) · Asian Journal of Economics Business and Accounting · doi:10.9734/ajeba/2023/v23i171044 · Cited by 3 · see citing works
(2022) · doi:10.1109/icsss54381.2022.9782251 · Cited by 3 · see citing works
Restaurant food ordering method using NFC technology
Sangulagi, P., Kalyane, S., Bhavikatti, A. M., & Sharad, S. P. (2022) · International Journal of Informatics and Communication Technology (IJ-ICT) · doi:10.11591/ijict.v11i2.pp96-104 · Cited by 2 · see citing works
Cafeteria Food Ordering System using QR Code
(2023) · doi:10.32628/ijsrset2310212 · Cited by 2 · see citing works
Mokoena, O., Ramarumo, T., Seeletse, S. M., et al. (2023) · Community Development Journal · doi:10.33086/cdj.v7i2.5024 · Cited by 1 · see citing works
Khanam, M., Lamya, T. T., Rosell, J., & Shidujaman, M. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-12657-3_24 · Cited by 1 · see citing works
A Review Study on Influential Factors towards Online Food Delivery Services Adoption
Nikita, N., & Nimbrain, N. (2022) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2022.v04i04.053 · Cited by 1 · see citing works
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Kamal, M. H. M., Shattar, N. A., Ghani, A. M., Nawawi, W. N. W., & Ramli, N. (2023) · International Journal of Business and Technology Management · doi:10.55057/ijbtm.2023.5.s1.13
SELECTING E-HAILING DELIVERY SERVICES AMONG UNDERGRADUATE STUDENTS: A FUZZY TOPSIS APPROACH
Muhamad, S. N. N., Zarawi, N. N. S. M., & Pazil, N. S. M. (2026) · International Journal of Entrepreneurship and Management Practices · doi:10.35631/ijemp.933027
Yasirandi, R., & Thanasopon, B. (2024) · doi:10.1109/icitee62483.2024.10808678
- Authors
- R., A., Singh, A., Pathan, S., & Kanade, V.
- ORCID
- Singh, Abhishek
- Venue
- International Journal of Computer Applications
- Publisher
- Foundation of Computer Science
- Published
- 2017-12-15
- Volume
- 180
- Issue
- 6
- Pages
- 22-24
- ISSN
- 0975-8887 (ISSN-L)
- OpenAlex
- W2775169531
- Semantic Scholar
- 6f6d2519ef4d590b3089604e79c606003a097c3e
- Cited by
- 54
- References
- 8
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 9 · 2023: 12 · 2022: 12 · 2021: 3 · 2020: 8 · 2019: 2
- FWCI
- 5.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Journal of Computer Applications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
- Physical Sciences › Computer Science › Software › Engineering and Information Technology
- Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
- Keywords
- online food ordering, food delivery, order tracking, user feedback, recommender systems, online payment, user authentication, queueing systems
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