QR Code‑Based Smart Food Ordering and Payment System

K. Lokeshnath, P. S. Yasaswini, M. Nandhini, A. Sujith, B. Siva Manikanta and M. Narendra

Department of Computer Science & Engineering, Srinivasa Ramanujan Institute of Technology, Rotarypuram Village, B K

Samudram Mandal, Anantapuramu, Andhra Pradesh, India

Keywords: Add Food Info, Add Tables, Scan QR Code, Choose Food for Order, Waiting List, Payment, AES Encryption,

Secure Payment.

Abstract: On the other hand, food ordering through contactless services has impacted the life of a customer more

positively in that they no longer need to visit a restaurant or food outlet to place an order. Everything is done

from wherever they may be- home or office-to hasten the transactions. This online application allows

customers to explore menus, customize their orders, and make payments. While arriving at the premises,

customers can scan a unique restaurant QR code to check table availability. In case a table is available, it will

get pop-up reserved; in case a table is not available, the customer is put in the waiting list. As soon as the table

is confirmed, one can select food, and that order is processed securely. The food ordering system has delivered

a better part of security and convenience within the QR code-based encryption system. Customers' food orders

are encrypted using AES (Advanced Encryption Standard) to ensure the encryption of data privacy and

security to be sent to the restaurant manager. These encrypted orders and secure QR codes are used for

payment. The customer makes payment without coming into physical contact with another person. So, this

totally provides a smooth, efficient, and most secure experience with fewer human contacts to ensure

convenience.

1 INTRODUCTION

In recent years, an increase in contactless food orders

has greatly changed how customers interact with

restaurants. Thanks to modern web-based platforms,

customers can now place orders and carry out

transactions swiftly and easily from the convenience

of their smartphones or computers. The changeover

to contactless technology is thus enhancing customer

experience and helping restaurants reach new hygiene

standards and operational requirements, especially

after the COVID-19 pandemic. These platforms offer

a seamless and user-friendly interface that allows

customers to view restaurant menus at their own

leisure. There is no need for a physical menu, as

patrons can browse through an extensive selection of

their options right from their devices. This

availability of the menus greatly enhances the whole

dining experience by saving time for guests and

restaurant staff alike. It also helps lessen the

operational costs of printing physical menus, thus

contributing towards a more sustainable practice. The

process starts with QR codes; this has become a staple

in numerous restaurants. By simply scanning the QR

code using their smartphones, customers will

instantly gain access to the restaurant's online

ordering system. Because QR codes allow for the

minimum physical interaction with wait staff, they

also help maintain the safety of dining by minimizing

contact. After scanning, the system checks the

availability of the table; if a table is free, it gets

reserved for the customer right away. Still, if the

restaurant has no available tables for them, the

customer will go on a waiting list, minimizing the

inconvenience of waiting in line or approaching the

hostess. If the table is reserved successfully,

customers get to customize their orders as per

preference. They can add extra toppings, change spice

levels, request specific sides, or specify dietary

restrictions. This high degree of personalization

offered by the platform means the individual tastes

and dietary needs of each customer can be catered to

without the possible incidental oversight of into

lerances or allergens. Patrons can also find detailed

information about their dishes, including nutritional

facts and lists of their ingredients, thus fostering

transparency and trust with the restaurant's offerings.

Other features that enhance customer experience

Lokeshnath, K., Yasaswini, P. S., Nandhini, M., Sujith, A., Manikanta, B. S. and Narendra, M.

QR Code-Based Smart Food Ordering and Payment System.

DOI: 10.5220/0013879500004919

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies (ICRDICCT‘25 2025) - Volume 2, pages

169-179

ISBN: 978-989-758-777-1

169

include the ability to track the customer's order status

in real-time, from preparation in the kitchen to

delivery at the table. Customers also can rate the meal

or provide feedback directly through the system-a

veritable goldmine of information for restaurants on

how to improve. To complete the experience,

customers can also pay through the platform in a

secured manner. The total is calculated by the system

automatically based on the selected items, eliminating

any confusion or error. Payment methods can include

traditional ones, like credit cards, or newer and safer

options like digital wallets.

1.1 Objective of the Study

The project intents to make things easier for their

customers by bringing in an online platform that

allows browsing for menus, placing orders, and

making payments, thus limiting unnecessary physical

interaction between the customer and restaurant staff.

It increases operational efficiency by providing a

faster means to order and allowing staff to concentrate

on preparing food and serving customers. It ensures

cleanliness and safety through contactless QR code

ordering for safer dining. It provides customization of

orders, table reservations in real-time, and secure

payments. The project also works with data collection

for better insights into customers, hence reducing

reliance on physical supplies and providing for an

integrated loyalty program to benefit repeat business.

Finally, real-time order tracking and customer

surveys serve to better the overall dining experience.

1.2 Area of Investigation

The entire project revolves around various

investigation areas directing seeding towards an

effort for developing contact-less food ordering

systems. Some investigations include QR code-based

reservation against tables, menu-display, and

payment mechanism-all for a better customer journey

experience; the other revolves round an interface-

focused development of a user-friendly web-based

program to support such dimensional services in

menu viewing, food ordering, and secure payments,

which can run across multiple devices. Further

insights concern real-time table reservation and

waiting list management systems, which may also

add to customer convenience. Payment security is a

subject of investigation for the project-that involves

encrypted QR code payment-for all possible secure

transactions and confidentiality. Other parameters

investigated include user experience (UX) and

interface design in terms of overall usability

improvement in order customization and navigation.

Along with all this, the study also examines how the

efficiency of restaurants can be increased in terms of

easing processes like order-taking and payments-

increased productivity of staff in return. Data

analytics will be studied for customer insight in

preference and ordering habits to improve services

and marketing systems. Reducing physical menu and

receipt circulation is the other area of investigation in

terms of the possible environmental impact and

sustainable development-what paper-based material

would be saved. Integrated customer feedback

mechanisms will be in place to serve the purpose of

collecting insights for further systematic

improvement of the system and overall experience at

the dining table. Finally, the project investigates how

the system can adhere to health and safety standards,

minimizing physical contact and ensuring a safe

environment where both customers and restaurant

staff can feel secure. The sum of all these spaces aims

at creating a contactless food ordering system that is

both secure and efficient as well as customer friendly.

1.3 Problem Statement

In the old-style ordering in restaurants, people have to

queue up for long stretches, there would be

interaction with waiters when ordering food, and the

physical menus are not less prone to inefficiency or

error. Besides, in-person transactions also pose health

and safety risks, considering recent health concerns

across the globe, and there is no accommodation in

current. restaurant systems for fast, secure, and

personalized ordering experiences. Furthermore,

integration between ordering, reservation, and

payment processes lacks, thereby complicating the

experience both for customers and the restaurant staff.

This project seeks to counter these things by making

a contactless food ordering system integrated with

QR code technology for menu browsing, order

customization, table reservation, and payment,

creating a more operationally efficient and customer-

satisfying environment while safe and less physical

contact involved. In-dining food ordering depends on

queuing for many hours, ordering through a waiter,

and using menus, all of which can be inefficient and

highly error prone. In-person transactions can serve a

health and safety risk, especially considering recent

health issues on the global front. Existing restaurant

systems have nothing to do with fast, secure, and

personalized orders. It makes finding a solution even

more difficult because there is no integration between

the ordering process, reservation of the table, and

payment system. This project will provide a solution

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into these issues by developing a contactless food

ordering integrated with QR code options. Menu

browsing ordering customization reserpvation of

tables and secure payment would increase operational

efficiency, improve customer satisfaction, safety, and

minimize physical contact. Food ordering in

restaurants has a lot to do with standing in queues for

hours, ordering via a waiter, or perusing the menu,

which is quite inefficient and highly error-prone.

Health and safety risks, especially on the global

health scale, are possible with in-person transactions.

There is nothing about fast, secure, and personalized

ordering in the existing restaurant systems. Moreover,

there is no integration between the ordering process,

reservation of the table, and payment system; this

makes the whole experience even more complicated

for both customers and restaurant staff. This project

would counter these things through the development

of a contactless food ordering integrated with QR

code options for menu browsing, ordering

customization, table reservation, and secure payment

which would then create an operationally efficient

and customer-satisfying environment while safe and

less physical contact is involved.

2 RELATED WORK

Contactless Food Ordering System: This study

emphasizes the benefits of QR code-based ordering

systems in reducing physical contact, streamlining the

ordering process, and enhancing customer

satisfaction. (S. Sunanda and Y. Mownika. (2024)).

Bytes to Bites: Investigating QR Code Menu Use

Behavior and Green Satisfaction: This research

explores user behavior towards QR code menus and

their impact on customer satisfaction, highlighting the

importance of user-friendly interfaces and efficient

design. (D. M. Ashrafi et., al. 2025) QR Based Food

Ordering System: The paper analyzes how QR code-

based systems streamline order management, reduce

wait times, minimize errors, and optimize resource

allocation in restaurants. (S. Sunanda and Y.

Mownika, 2025)

Customer acceptance of QR menu ordering

systems in luxury restaurants: This study is concerned

with understanding customer acceptance of QR

ordering menu systems in luxury restaurants by

examining user perception and behavioral intention.(

A. A. Alalwan, et al. 2017) Smart Enhancements to

QR-based Restaurant Dine-in System and Sales

Analysis: The paper identifies the automation process

of traditional paper-based menu ordering to a digital

and well-formed ordering system through QR codes

that will enhance good operational efficiency and

improve the customer experience. (R. Singh et., al.

2022) Customer perception about contactless menu in

restaurants: The interface perceived by customers is

examined, analyzing the benefits of contactless

menus such as easy navigation, enhancement of

customer service, and reduction of costs for

restaurants. There were several factors that were

selected to determine customer satisfaction

concerning drinking from the floor to the ankle while

almost every single person in the house watched, on

their phone or TV, pretending not to see.( Shahril et

al. 2024) QR Code Based Food Ordering System:

This research addresses the challenges of traditional

food ordering methods and proposes a QR code-based

system to enhance ordering accuracy and efficiency.

(V. Venkata Ramanjaneyulu et al.) Application of QR

Code for enchancing the satisfaction of customers:

The focus of the investigation is the application in the

food industry which may lead to greater satisfaction

with the end-particular revelations on technological

adoption and end-user’s engagement. QR Code-

Based Mobile Payment System for Restaurants: A

Literature Review: This review examines the

implementation and adoption of QR code-based

mobile payment systems in restaurants, focusing on

user acceptance and security concerns.( Sunanda, S.,

and Mownika, Y. (2024)) Improving the Customer

Experience Through QR Code Ordering Food: This

review refers to empirical research literature available

on QR code-based food ordering systems and

customer experience, with an element of use as well

as satisfaction levels.( Sunanda, S., and Mownika, Y.

(2024)). The pandemic slowed down but many

restaurants can operate in full capacity, which

becomes a challenge concerning staff. In this paper, a

food ordering system proposed is QR code-based.

The system automates the order-taking and billing

process. Every customer scans the QR code to access

the menu and place orders, while the system

automatically generates bills; thus, reducing the

possibility of human error. The admin interface is

accessible to restaurant owners so they can update the

menu, manage orders, and gain insights into the

business through data visualization. Machine learning

is included to forecast demand and provide better

insight for decision-making. (C.-C. Wong et al.2023).

The increasing coffee consumption in Indonesia has

caused the growth of coffee shops, including in

Bekasi. With the aim to improve customer

satisfaction, a mobile web-based ordering app for

food and beverages was developed, which uses QR

and RFID technology. The app allows customers to

order food and drinks and pay without going to the

QR Code-Based Smart Food Ordering and Payment System

171

cashier, shortening the waiting time and avoiding

food delivery mistakes. The development employed

the Kanban method, with testing involving 20

respondents who found that 65% said the ordering

process was faster and accessible, while 35% thought

it was easy to use. Subsequently, User Acceptance

Testing demonstrated that 91.4% of the functionality

was performed, making the whole process more

efficient and userfriendly. (F.A. Hidayat et al. 2024)

With the academic performance of students, higher

institutions have several dimensions, including

physical attendance in classes. Nevertheless, for the

greatest part, registration for student attendance is still

being done manually, which contributes to its

cumbersome nature and consumption of time,

especially in large courses. Most of the universities

have been managing the manual attendance for years

and still do. In contrast to the manual attendance

systems, the smart attendance system provided in this

paper was proposed and realized in order to pave way

for prospective uses of QR code as an attendance

management system that tracks and records student

attendance in lectures and exercises for all related

courses. (M. Anusha et al. 2025) The issue of food

safety has always existed, tracing back to ancient

times. In this respect, the traditional agri-food

systems do not have any systems for tracking the

produce in the event of foodborne outbreaks. This

issue can be addressed with blockchain-based

systems, but current methodologies are not easily

accessible or verifiable using mobile

devicesFoodSQRBlock, a framework targeting the

blockchain digitization of food production data, is

discussed in this paper. Through QR codes,

consumers and producers can trace and verify such

data. The paper discusses appraising the large-scale

integration of FoodSQRBlock in the cloud and

addresses how the feasibility of this framework meets

the requirements of scalability and experimental

evaluation. (Dey et al. 2021) As shopping centers are

becoming gigantic and sprawling, shoppers are found

to be really getting afflicted. A new system is

propounded which will aim to improve the shopping

experience by bringing to resolve issues regarding

standing in long queues, carrying hefty items, as well

as limited information storage as with the traditional

systems. Using QR code technology, this mobile-

based system eases the shopping activities with fast

payments, more navigable facilities, and effective

customer data mining. The products will generate QR

codes and a python program will keep scanning these

codes and creating bills based on what is purchased.

Applied Artificial Intelligence and Computing

International Conference in 2022. (K. Kaarthik et al.

2022) It enables the customer to place an order online

along with payment processing with the help of

contactless ordering, which has simply changed the

interaction between customers and restaurants.

Customers can explore menus of choice, place orders,

and pay without breaking a sweat via these online

applications. By scanning the restaurant's QR code,

customers may reserve tables, which will

automatically reserve if that specific table is

available. If occupied, it adds the customer to a Wait

List. After selecting the required food, customers can

make secure payments depending on food items

ordered. The order will be served directly to the

customer. Contactless food ordering has made a

convenience revolution and makes the dining

experience so much easier for all. (R. K. Goli, 2023)

Nevertheless, the restaurant business in developing

countries has been confronted by challenges due to

inefficiencies in order handling, resource

management, and food quality. Hence, this paper

proposes what is believed to be the best solution, i.e.

an IoT-based automated order-handling system, into

which has been incorporated many improvements in

the dining experience. The system enhances

operational efficiency apart from ensuring validity in

food orders and privacy for customers. Through

advanced technology adoption, it offers a sustainable

solution towards improving satisfaction and

profitable operation in restaurants, especially in

developing countries. Moreover, the paper reveals the

economic and operational advantages that accrue

from such implementation. (A. Sultana et al. 2024)

With the tracking and billing of orders done manually,

it becomes very difficult to manage a large dining

crowd in a restaurant. The computerized menu

ordering system, proposed here, is all about

improving the internal processes of the restaurants,

lightening the load of staff, and increasing customer

satisfaction. Now, showing the menu, ordering,

updating, and confirming orders becomes possible

with this system, making it reliable, easy to maintain,

and faster. At the same time, it will handle multiple

orders coming into the system efficiently, thus solving

a majority of the problems faced by traditional

restaurants. (S. Deivanayagi et al. 2024) This paper

intelligent centralized IoT billing system such as

RFID technology for automatic tracking of product

location and billing in malls. To take a shopping

assistant, a mobile application that is developed in

Java and Python will assist customers to find

products. The ESP8266 Wi-Fi act as a medium for

transmitting billing information to the cloud. Every

product gets RFID tagged, and the product data is

stored in EEPROM. The living calculates the total of

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purchases by cloud database accessing. The system

has been designed in such a way that it would

eliminate searching for products and waiting in long

queues in malls or supermarkets. This paper presents

a contactless food ordering system that utilizes

holograms to minimize the risk of virus transmission

in restaurants. Based on the light source wavelength

distribution, the hologram-based menu ordering

system operates in both virtual and physical

environments, thus minimizing direct contact points

and creating a consequence of reduced virus

spreading. Furthermore, the paper analyzes the

features of various operational modes, which will

serve as a very important reference for researchers

working on operations and management in food

supply chains. (R. Vinifa et al. 2024)

3 PROPOSED SYSTEM

The proposed system for contactless food ordering is

a web-based platform designed for easy meal

ordering. Through the platform, Customers can study

the menu, choose items they want to send in, get to

know the menu better in order to enrich it according

to their choice, and pay for the stuff they want. Also

incorporated is a QR code system whereby customers

can scan a restaurant's QR code. Scanning an

appropriate QR code will redirect the customer to

detailed information about the restaurant, such as

available tables and the full food menu. If a table is

free, it is automatically reserved for that customer; if

not, the customer will be placed on a waiting list. This

ordering process greatly streamlines and enhances the

customer experience while minimizing the physical

interaction between customers and staff.

3.1 Overview of Our Work

The project objective aims to create a contactless food

ordering mechanism, enhancing the experience of

dining using a web-based and QR-coded technology.

Customers explore restaurant menus, choose food

items, customize orders based on their preference,

and pay for them securely through their smartphones

or other devices. When it comes to entering the

premises, customers are able to scan a restaurant QR

code, which will be able to display the details of the

restaurant, including the information about the

available tables and a full menu. When there's an

available table, it will reserve for the customer

automatically. If there's none, the customer will be put

in a waiting list. Once a table confirms the

availability, customers can proceed and place their

orders, which can be electronically settled. The

primary features of the system include the

management of the reservation of tables, updates on

the food availability in real-time, customization of the

orders, and secure payment through encrypted QR

codes. The vision is to provide seamless, more

straightforward, efficient, and safe dining by

minimizing physical contacts of the customers with

their attendants. Not only does this illustrate better

operational efficiency in restaurants, but also

maximizes the personalized experience of the

customers, which means improved quality as far as

the potential level of service comes from, hence

maximized customer satisfaction. Figure 1 shows the

Project Flow.

Figure 1: Project Flow.

Restaurant

• Registration: For registration, the restaurant must

provide their initial, last email, password, and

anaesthesiology, also must have a restaurant

name.

• Login: Restaurant will Login using Email,

Password.

• Add Food Info: Restaurant will add dishes and its

price in Add Food info (Dish name, price).

• Add Table’s: Restaurant will add dishes and

count of members for table in Add Tables

(Members count, Tables count).

• View Order’s: Restaurant will view the all Table

orders.

• View Payments: Restaurant will view the all

Table orders.

• Logout: Finally, Logout.

Customer:

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173

• Registration: Customer will register with details

like First Name, Last Name, Email, password,

confirm password.

• Login: Login with details (Email, Password)

• View Restaurants: Customer view all the

restaurants by selecting the restaurant qr code

will be displayed, user has to scan the QR code

• Enter Members: After that Input field will be

displayed. In that customer has to give members

count then table will be reserved randomly.

• Waiting List: Incase table is not available that

request will be added in waiting list and he can

order food for the table. When it comes to his

time that table will be registered for the next

person

• Food Order: Customer can order the food for that

table.

• Payment: Customer will pay the bill for the

ordered food by giving his card details  Logout:

Finally, logout.

4 METHODOLOGY

Advanced Encryption Standard:

AES stands for "Advanced Encryption Standard," and

it is a symmetric encryption algorithm. This is the

encryption standard selected by the U.S. government,

and there is a near-universal consensus that AES is

one of the very most secure of all the encryption

methods. AES works on data in blocks of fixed size

(128 bits), and this process uses key lengths of 128,

192, or 256 bits depending on the level of security

required. AES is a running series of rapid

encrypt/decrypt processes based on a pre-place

number of rounds depending on the size.

• 128-bit key: 10 rounds of encryption

• 192-bit key: 12 rounds of encryption

• 256-bit key: 14 rounds of encryption

AES functions by executing data encryption through

a series of steps, each of which entails the

manipulation of a 4x4 matrix representing an

individual data block. Within this matrix, each cell

contains one byte of data. Considering that a block

comprises 16 bytes, the matrix comprehensively

encapsulates the entirety of the block's data. Figure 2

shows the Indexing of a 4x4 Grid.

Figure 2: Indexing of a 4X4 Grid.

The state array, Figure 3 illustrated in the

accompanying diagram, plays a pivotal role in the

AES (Advanced Encryption Standard) algorithm. In

addition to that, the primary key will be expanded into

a total of (n + 1Plant ont ves towards AES encryption,

which is specifying their number n for the rounds in

the encryption. For instance, in case of using 128 bits

Key and for 16 rounds then maximum of 11 keys will

be generated (i.e. 10+1,). AES Encryption Stages

consist of processes like Sub Bytes, Shift Rows, Mix

Columns, and finally Apply Add Round Key. iteration

state appropriate for the number of rounds. The

aforementioned discussed steps change the input

plaintext into ciphertext using the keys generated

from them. This article briefly introduces the

constituents of the AES algorithm as well as the steps

through which it processes encryption.

Figure 3: Simplified Block Diagram of One Round of the

Advanced Encryption Standard (AES).

This Figure 4 necessarily follows an orderly set of

operations for each block and then combines them

into the address for one ultimate ciphertext. Stages

would follow in the order: Adding a round key: This

amounts to a XOR operation on the block data in the

stated array and the first generated key (K0). This is

followed by feeding the output state array to the next

operation.

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Figure 4: Example of the Add Round Key Operation in

AES.

State-by-state State-substitution on each byte

indicates the process whereby a substitution is applied

to each byte in the state array with every byte being

changed to 2 segments indicating rows and columns

in hex format, replaced by new values from an S-Box-

by-picture or contesting state array.

Illustration of the

SubBytes Transformation in AES Shown in the

Figure 5.

Figure 5: Illustration of the Sub Bytes Transformation in

AES.

Shift Rows is an operation of data modification

entailing the interchange of row elements. It usually

leaves the first row intact and shifts the elements of

the other rows left by a certain number of places. For

example, in a four-row matrix, the two-row elements

can shift an amount of one point on the left. The three-

row elements could shift an amount of two points on

the left. Likewise, the elements in the last row can

shift by three left points. This kind of operation is an

integral part of the security enhancement and ease of

distribution of several encryption methodologies,

including the Advanced Encryption Standard (AES).

Shift Rows is really an operation pertaining to

data manipulation in which they can interchange row

elements. Normally, it keeps the first-row static and

moves other's components in subsequent rows after a

certain number of places to the left. For example,

elements present in row two of four-row matrix would

be shifted one place to the left; while those present in

the third row would displace two positions left.

Likewise, the final row's elements could shift three

positions to the left. Such an operation, important for

security improvement and ease of distribution in

several encryption methods including the advanced

encryption standard (AES), is the basis of some

encryption methods. Figure 6 Shows the Example of

the ShiftRows Transformation in AES.

Figure 6: Example of the ShiftRows Transformation in

AES.

The mixing columns stage is correspondence in the

AES encryption method. This stage multiplies all the

columns in the state array by a fixed matrix to create

an entirely new column for the next state array. This

process continues for all the columns of the state array

into state arrays for the next step. This is to be

underscored as it is performed in all rounds of

encryption, except in the last round.

From the Figure 7 SubBytes operation followed

by ShiftRows, and MixColumns of the data of the

first round, the round key is then added. The round

function's state array is XORed with the

roundspecific key. If the state array is from the last

round, it will produce the ciphertext of the block.

Figure 7: Illustration of the MixColumns Transformation in

AES.

Otherwise, it serves as the new input state array for

the subsequent round. Detailed View of the

AddRoundKey Operation Shown in Figure 8.

Figure 8: Detailed View of the AddRoundKey Operation.

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The extracted State array must be passed on as input

to the subsequent round, observing the similar

operating of the same as heretofore discussed. Here is

what you should do for that:

Round Key Addition:

Figure 9 shows the Numerical Example of the

AddRoundKey Operation in AES.

Figure 9: Numerical Example of the AddRoundKey

Operation in AES.

Sub-Bytes: To obtain a whole new state array, the

elements are passed through a 16x16 S-Box. Resulting

State Array After A Round of AES Operations Shown in the

Figure 10.

Figure 10: Resulting State Array After a Round of AES

Operations.

Shift Rows:

The process of the Numerical Example of the

ShiftRows Transformation, using specific

hexadecimal values, is demonstrated in Figure 11.

Figure 11: Numerical Example of the ShiftRows

Transformation.

Mix Columns:

Figure 12 provides a numerical example illustrating

the MixColumns transformation.

Figure 12: Numerical Example of the MixColumns

Transformation.

Add Round Key:

Figure 13 provides a numerical example of the

AddRoundKey operation specifically for the first

round of the process.

Figure 13: Numerical Example of the AddRoundKey

Operation for Round 1.

The past round-final ciphertext is now that state array.

For this round, this state array serves as input to round

number two. Repeat steps one through ten until round

10 is achieved; at that point, you'll have the final

cipher text, subject to length of the key. Figure 14

illustrates the final state of the data after undergoing

10 rounds of the AES algorithm, along with the

resulting ciphertext output.

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Figure 14: Final State Array and Ciphertext Output After

10 Rounds of AES.

The architecture for cloud data access, along with

a visual representation of a possible security threat, is

outlined in Figure 15.

Figure 15: Cloud Data Access and Potential Attack

Scenario.

4.1 Working

The contactless food ordering system operates by

initiating the view of the restaurant order portal with

a unique QR code scanned by customers found on

their tables or at the entrance. Information regarding

the restaurant, such as its location, opening hours, and

promotions is displayed on the platform along with a

menu available for browsing by customers. Once

within the menu, customers customize their orders by

selecting food items while indicating preferences

such as toppings or spice levels and nutrition details.

The system checks table availability, reserving tables

for customers if available; otherwise, customers are

placed on the waiting list.

Once the table is confirmed, then from this

juncture onwards, they make payment through

secured payment methods available on the platform

like credit cards or mobile wireless wallets. The

transactions protect the customer's payment

information through encryption of data, which further

adds to the security of transactions by AES

(Advanced Encryption Standard). After the payment,

the restaurant staff receives the order for preparation

and real-time status updates for customers on their

orders via the platform, with food delivery to the

reserved table as soon as it is ready. In addition, after

the meal, customers have the opportunity to rate the

service and provide feedback through the system,

which the restaurant can review for service

improvement. Overall, the convenience of the system

reduces contact for the comfort of the customers in

terms of payments with security and, in fact, a

pleasant experience from order to payment.

5 RESULTS AND DISCUSSION

The implementation of the contactless food ordering

system has brought forth remarkable improvements

in customer experience, as well as the overall

restaurant's operations. The contactless system

embedded QR code technology into table reservation,

menu browsing, and secure payment processing,

providing a smooth and efficient experience to

customers. Customers could simply scan the QR code

fixed in the restaurant to view the menu, check the

real-time availability of tables, and order with ease.

This eliminated not only the need for the physical

menu but also the time during which the customers

were made to wait for the waiters to come and take

their orders. Thus, wait times were considerably

reduced, and customer satisfaction was enhanced.

The real-time feature for table reservation could enter

customers into the system from which the tables are

assigned automatically if available or put on the

waiting list should the restaurant be fully booked.

This implied that long queues for seating

arrangements and misleading table availability were

avoided. The very customizable ordering process has

thus been of paramount benefit to customers, giving

them a greater say in their meal selection to suit their

own dietary needs and tastes. In the context of

security, the payment AES encryption was quite

effective in ensuring that sensitive financial

information remained uncompromised. Customers

felt comfortable and secure using the platform for

their payments because they were assured that no one

could trace their transaction details as these were all

QR Code-Based Smart Food Ordering and Payment System

177

encrypted and kept private. The payment interface of

the system was user-friendly, thus further enhancing

customer experience by allowing customers an easy

and efficient way to make the transaction without

facing direct interaction with the waiters. There was

also an improvement in the restaurant staff's

operational efficiency. Eliminating manual order-

taking allowed staff to work more on food preparation

and customer service, thus increasing service speed

and decreasing human error. Additionally, customer

preferences and ordering trends were captured as rich

data by the platform, granting the restaurant insight

into popular menu items and customer behaviors,

thereby helping to reorient marketing and improve the

entire dining experience. However, challenges arose,

mainly with keeping the QR code system running on

different devices, especially with regard to

availability and maintenance. Some customers faced

small challenges accessing the platform mainly due to

compatibility issues of their devices or limited

internet connectivity. Continuous updates and

troubleshooting protocols have been put in place to

solve these issues and keep the system operational. In

addition, quite a few customers have had initial

difficulties using the platform, indicating that instead

of an improvement in UI design and guidance; greater

attention may also need to be channeled towards

usability. Consequently, it can be drawn that, through

enhanced security, convenience, and operational

utility, the contactless food ordering system has

dramatically improved the dining experience.

6 CONCLUSIONS AND FUTURE

WORK

Conclusively, the contactless food ordering system

has successfully altered the conventional dining

experience by taking advantage of modern

technology to help enhance client satisfaction and

operational efficiency. Customers can easily access

restaurant services with little physical interaction

thanks to QR codes for table reservations, menu

viewing, and secure payments. The use of AES to

encrypt transactions ensures that the customers feel

confident about the personal and payment data safety.

It has real-time table reservation and waiting list

management functions to Ensure Simplification of

The Whole Process by Cutting Down on Waiting

Time and Improving the Entire Dining Experience.

This system has also enabled restaurants to

compile valuable customer data that informs business

decisions for improving services catered to customer

preferences. In sum, it provides a seamless and secure

solution for customers and restaurant personnel alike,

thereby ushering in a new standard for the restaurant

industry.

For future development, there are other

enhancements to be added to further improve the

system. Making it multi-language will accommodate

a diverse clientele, thus widening the platform's

accessibility to an even larger international audience.

Loyalty and reward offerings would generate repeat

customers by offering discounts, free items, or

exclusive deals in accordance with their order history.

Such personalized recommendations suggested items

that genuinely improve the dining experience, truly

based on something the customer is likely to enjoy.

The program could allow ordering for takeaway or

delivery through popular food delivery services. This

would result in a more advanced analytics dashboard

that could give restaurant owners greater insight into

understanding customer behavior while managing

operational issues such as popular items and peak

bachelor evening dining. Truly, a voice ordering

feature should be considered for a more convenient

and hassle-free experience, especially for impaired

customers. It would also help increase restaurant

visibility if social media sharing options were

integrated. AI chatbots could steer customers through

the menu and questions. Adding these enhancements

would make the contactless ordering system much

friendlier for users and increase the efficiency and

versatility of operational dynamics for the restaurants.

REFERENCES

"Menu Ordering Application using QR Code with User

Experience Analysis" F.A. Hidayat, T. Rubianto,

Nurkhasanah, I.P. Saputro, V.E. Ticoalu, and T.

Prasandy//2024 9th International Conference on

Business and Industrial Research, ICBIR, 01-05, May

2024.doi:10.1109/ICBIR61386.2024.10875903.

"PDF": The Study of Customer Perception on Contactless

Menus at Restaurant- Mar. 14, 2025 [Online].

Available:https://www.researchgate.net/publication/37

2322401_The_Study_of_Customer_Perce

ption_on_Contactless_Menus_at_Restaurant

"QR Code Based Smart Trolley Using Mobile."

EBSCOhost. Accessed March 14, 2025. [Online].

Available:https://openurl.ebsco.com/EPDB%3Agcd%

3A13%3A8358461/detailv2?sid=ebsco%3

Aplink%3Ascholar&id=ebsco%3Agcd%3A16060502

5&crl=c&link_origin=scholar. go ogle.com

A. Sultana, M. M. Billah, M. M. Ahmed, R. S. Aftab, M.

Kaosar, and M. S. Uddin, “Applications of IOT-enabled

smart model: A model for enhancing food service

operation in developing countries,” Journal of Applied

ICRDICCT‘25 2025 - INTERNATIONAL CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION,

COMMUNICATION, AND COMPUTING TECHNOLOGIES

178

Engineering and Technological Science (JAETS), vol.

5,no2,pp.11231141,Jun.2024,doi:10.37385/JAETS.V5

I2.4937.

D. M. Ashrafi, A. Iskender, and T. Shahid, "Bytes to bites:

Investigating QR code menuuse behavior and green

satisfaction in the restaurant-scapes through a hybrid

PLS-SEM and machine learning approach," Journal of

Foodservice Business Research, pp. 1-47, Feb. 2025,

doi:10.1080/15378020.2025.2466873.

FoodSQRBlock: Digitizing the Food Production and

Supply Chain with Blockchain and QR Code in the

Cloud: Dey, S., Saha, S., Singh, A. K., and McDonald-

Maier, K. in Sustainability 2021:13:3486, March 2021,

vol. 13:6:3486; doi: 10.3390/SU13063486.

How to cite: Shahril, Z., Den, N. S. A. R., Bahari, N. A. S.

S., & Asnawi, N. I. M. (2024) Customer Satisfaction in

Using Digital QR Code Menu Ordering in Restaurant.

Journal of Tourism, Hospitality & Culinary Arts, 16(1):

820-831.

K. Kaarthik, T. Manibharathi, and D. Rakshith, QR Code

based Shopping System, in Proceedings - International

Conference on Applied Artificial Intelligence and

Computing, ICAAIC 2022, 1005-1010, 2022,

doi:10.1109/ICAAIC53929.2022.9792915.

QR Food Ordering System with Data Analytics by C.-C.

Wong, L.-Y. Chong, S.-C. Chong, and C.-Y. Law is

published in the Journal of Informatics and Web

Engineering, vol. 2, issue 2, pp. 249-272, in September

2023. doi:10.33093/JIWE.2023.2.2.18.

R. K. Goli declared that contactless food-ordering systems

are "interlinked," electronic these projects, and

dissertations, published in August 2023 and accessed

onMarch14,2025.Onlinelink:https://scholarworks.lib.c

susb.edu/etd/1771

R. Vinifa, N. Vishnu Prasad, A. Santhosh, and M.

Amarnath, "Contact-less Food ordering System in

Restaurants using hologram," Proceedings of the 2024

10th International Conference on Communication and

Signal Processing, ICCSP 2024, pp. 444-447, 2024,

doi: 10.1109/ICCSP60870.2024.10544019.

R. Singh, R. Sonje, S. Salkar, and A. Jadhav "Smart QR-

Based Restaurant Dine-In System with a Sales Report",

doi:10.1051/itmconf/20224403014.

S. Deivanayagi, K.T. Sundari, A. Kerutheka, G.M.

Kokilavani and S. Sowmiya, "Smart Menu Ordering

System," 4th International Conference on Power,

Energy, Control and Transmission Systems:

Harnessing Power and Energy for an Affordable

Electrification of

India,ICPECTS2024,2024,doi:10.1109/ICPECTS6221

0.2024.10780283

S. Sunanda and Y. Mownika. (2024). QR Based Food

Ordering System. International Journal of Research in

Engineering, IT and Social Sciences 14:1210-1227.

Accessed March 14, 2025. http://indusedu.org.

S. Sunanda and Y. Mownika, "QR Based Food Ordering

System 1," International Journal of Research in

Engineering, IT and Social Sciences, vol. 14, pp. 1210-

1227, 2024, Accessed: Mar. 14, 2025. [Online]. Source:

httphttp://indusedu.org.

Sunanda, S. and Y. Mownika. 2024. QR Based Food

Ordering System 1. International Journal of Research in

Engineering, IT and Social Sciences. 14, pp. 1210-

1227. Retrieved: March 14, 2025. [Online]. Available

at: http://indusedu.org.

Sunanda, S., and Mownika, Y. (2024). "QR Based Food

Ordering System 1." International Journal of Research

in Engineering, IT and Social Sciences, 14, 1210-1227.

Accessed: Mar. 14, 2025. [Online]. Available:

http://indusedu.org.

That is, Factors influencing adoption of mobile banking by

Jordanian bank customers: Extending UTAUT2 with

trust, In the International Journal of Information

Management, vol.37, no.3, pp.99-110, June 2017, doi:

10.1016/J.IJINFOMGT.2017.01.002, by A. A.

Alalwan, Y. K. Dwivedi, and N. P. Rana.

The paper entitled "QR Based Food Ordering System" was

published by M. ANUSHA, P. V. RAO, R.

PURUSHOTHAM, and T. P. SINGH in the

International Journal of Information Technology and

Computer Engineering, vol. 11, no. 4, pp. 95-102, Dec.

2023,Accessedon:Mar.14,2025.[Online].Available:htt

ps://ijitce.org/index.php/ijitce/article/view/393

V. Venkata Ramanjaneyulu, P. Anish Kumar, B. Deepak,

and M. Lavanya, "QR CODE BASED FOOD

ORDERING SYSTEM," n.d.

QR Code-Based Smart Food Ordering and Payment System

179