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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026
AgriTrack Digital Ordering Monitoring System for Ttangkkuet
Green Farm.
Richard J. Barcelona Jr
1
, Vincent T. De Leon
2
, Rodney R. Onias
3
, Al Fadhl Q. Shuiaib
4
, Ruissan A.
Ramos
5
Information Technology, Pangasinan State University, Alaminos City Campus
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.150600083
Received: 21 June 2026; Accepted: 26 June 2026; Published: 07 July 2026
ABSTRACT
The AgriTrack Digital Ordering Monitoring System for Ttangkkuet Green Farm is designed to resolve the
challenges faced by the farm owner in managing their business operations. The system focuses on improving the
way orders are handled by providing features such as order management, receipt printing, order tracking,
customer reviews, and product customization. This study follows the Agile Methodology, which allows the
system to be built step by step, with regular feedback to make sure it meets the needs of the users. The system
includes important features such as a responsive web-based platform, real-time product availability tracking,
manual confirmation and notifications, OTP verification, and digital payment options. To better understand the
problems faced by the farm owner—such as receiving orders and writing receipts by hand—the researchers
conducted interviews, direct observations, and reviewed related studies. A purposive sampling method was used
to choose the right people to take part in the study. A total of 9 participants were selected, including the farm
owner, business partners, and customers. To measure how well the system is accepted and used, a Likert Scale
survey will be given to the participants. After collecting the responses, statistical analysis will be done to check
the usability and performance of the system. By solving the issues in the current process, the AgriTrack Digital
Ordering Monitoring System aims to improve how reservations and orders are managed. This will help make
operations smoother and increase customer satisfaction at Ttangkkuet Green Farm.
Keywords: Tracking order, Managing Orders, customer reviews
INTRODUCTION
Throughout modern history, commerce has continuously evolved while maintaining its roots in traditional
trading systems. In the past, people bought and sold goods through face-to-face interactions in local markets.
Before the rise of technology, fresh produce such as fruits and vegetables was primarily distributed through small
community vendors or direct farm sales [2], [4], [9]. As innovation progressed, businesses learned to adapt to
new methods of selling and delivering goods. The emergence of the internet introduced e-commerce—an
advanced platform that allows consumers to purchase products online with convenience and efficiency [1], [6],
[7]. Today, e-commerce has transformed how people access fresh produce, enabling customers to order
vegetables and fruits directly from farms or online marketplaces and have them delivered to their doorsteps [7],
[10]. This evolution marks a significant milestone in connecting agricultural producers with consumers through
digital technology [1], [6].
Urban communities increasingly rely on digital commerce platforms as they provide efficient and accessible
ways for residents to purchase everyday goods [1], [7]. However, the system faces substantial challenges in
product availability, delivery scheduling, and customer satisfaction. The combination of fluctuating demand and
inconsistent supply of fresh produce often causes inefficiencies in the online fruit and vegetable market [8], [11].
Long delivery times and inconsistent product availability often lead to customer dissatisfaction in online produce
shopping. Current systems for managing stock and order processing remain inefficient, causing delays and waste.
Research shows that optimized inventory and ordering monitoring systems significantly reduce waiting times
and improve overall shopping experiences [1], [6].
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The AgriTrack Digital Ordering Monitoring System addresses these challenges through modern technological
solutions that enhance customer convenience and operational accuracy in e-commerce [1], [7]. This study
examines AgriTrack's development journey, focusing on its impact on user satisfaction and product freshness
management.
Through intelligent forecasting and automated logistics, AgriTrack predicts consumer demand and manages
fresh produce inventory efficiently.
The system utilizes real-time data and user feedback to continuously adjust stock levels and pricing, ensuring
customers receive the freshest fruits and vegetables with maximum convenience [1], [6], [8].
The key element of AgriTrack lies in its user-friendly design, allowing customers to access the platform
effortlessly through its web application interface. Users can conveniently browse available fruits and vegetables,
place online orders, and track delivery progress.
The developers designed the interface to accommodate users with varying levels of digital literacy, ensuring a
smooth and accessible shopping experience for everyone [1], [5], [7]. Through its ordering and tracking features,
the AgriTrack system streamlines the online shopping process while collecting valuable consumer data that aids
in optimizing inventory and delivery algorithms.
Aligned with modern e-commerce trends, this digital solution enhances operational efficiency and customer
satisfaction by making the purchase of fresh produce faster, smarter, and more reliable [1], [6].
The deployment of AgriTrack offers comprehensive benefits to both farm owners and buyers, while
simultaneously supporting sustainability goals [8], [12], [13].
The system features a dual-interface design: an administrator module for managing product restocking,
inventory, users, and order tracking; and a user interface that allows for unrestricted purchasing. Customers can
select from various vegetable categories, utilize multiple payment methods (debit card, credit card, or bank
transfer), and receive automated e-receipts [1], [6], [7].
Objectives of the Study
The general purpose of this project is to design and develop an innovative AgriTrack Digital Ordering
Monitoring System for Ttangkkuet Green Farm, which will streamline the ordering process, enhance customer
convenience, and improve operational efficiency. Specifically, this study aims to:
1. Identify and enhance the existing process of selling, marketing, and mapping farm products.
2. Identify the difficulties encountered in the current manual process of selling and managing orders of the
produce.
3. Develop features for the system including automated order management, real-time stock monitoring,
and secure checkouts.
4. Determine the user-acceptance level of the developed system among stakeholders.
METHODOLOGY
The proposed system development utilizes the Agile methodology to combine descriptive and developmental
approaches as the research framework. Surveys and interviews serve as descriptive research to obtain user
feedback for system effectiveness evaluations. The Agile methodology, chosen for its iterative nature, flexibility,
and emphasis on continuous improvement, consists of cyclical phases known as Sprints: Planning, Design,
Development, Testing, and Review.
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Fig. 1 Agile Methodology
During the Planning phase, a combination of interviews and surveys collect data to define user stories and
populate the product backlog for system needs identification. The Design phase involves close collaboration
between stakeholders and developers to outline specific features using flowcharts for immediate validation. The
Development phase involves using PHP in Visual Studio Code to build functional increments of the prototype
until all requirements in the sprint backlog are satisfied. During the Review and Deployment phase, testing
occurs to validate the software increment, followed by user training and system activation, which leads to
immediate feedback loops and additional surveys that measure the system's adequacy and functional suitability.
The researchers analyzed the farm's existing business processes to identify operational bottlenecks. Primary data
was gathered through an interview with the owner, Ms. Marilou Quitiquit, whose input revealed significant
details regarding current operational obstacles. The findings highlighted a reliance on manual workflows,
specifically for taking orders and checking inventory. On the other hand, customers face related challenges, such
as receiving manually coded receipts and lacking a method to track their orders. These combined insights enabled
the researchers to contextualize the findings and develop recommendations for system improvements.
Additionally, a questionnaire was distributed to customers to rapidly acquire valuable information regarding
their experiences.
Through the integration of these methodologies, tools, and technologies, the AgriTrack development process
ensured a comprehensive, efficient, and user-centered solution for improving the shopping experience. By
addressing key challenges in ordering, inventory, and tracking, the system aims to deliver a great experience in
browsing and shopping.
AgriTrack System Features and Functional Capabilities To address the difficulties discovered during the
business process review such as manual order taking, tracking absence, and inventory errors the AgriTrack
system implements specific system features to modernize operations:
Dual-Interface Platform: Includes an administrator control portal for restocking updates, user
management, and inventory visibility, combined with an open client portal for unrestricted item access.
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Fig. II Dual-Interface Platform: User Side
Fig. III Dual-Interface Platform: Admin Side
Real-Time Availability Tracking: Monitors product quantities automatically within the
centralized database, reducing waiting loops and minimizing stock conflicts.
Fig. IV Real-Time Availability Tracking
Integrated Payments and E-Receipting: Embedded with secure digital checkouts (credit cards,
debit cards, bank transfers) that automatically compile and print transactional receipts.
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Interactive Reviews and Customization: Contains fields for text reviews and product adjustments,
allowing consumer data to assist in supply updates.
Fig. V Interactive Reviews and Customization
Environment and Respondents of the Study A purposive sampling method was used to choose the right people
to take part in the study. A total of 9 participants were selected, structured across the specific deployment
environment of the farm enterprise. Table I presents the profile of the respondents who participated in the
investigation.
TABLE I. Respondents of the Study
Respondents
Number of respondents
Business Owner
1
IT Experts
2
Regular Customers
7
Total
10
Research Instrument and Statistical Treatment A survey questionnaire measured system acceptance and
enhancement levels through a measurement scale designed based on Stanley Stevens' work. Statistical evaluation
of the collected responses confirmed the system's usability through analysis methods.
The researchers measured system assessment and improvement using a 5-point Likert Scale where Excellent
received the highest rating of 5 while Poor had a lowest value of 1.
The weighted mean methodology allows more important data points to attain prominence in analyses. The set
acceptance threshold for this system stood at 4.21 and above, which classified the system as Excellent. Statistical
methods processed data from the Likert Scale survey which enabled meaningful conclusion-drawing along with
statistical significance discovery and broad population reinterpretation. The scale and its statistical limits are
illustrated in Table II below:
TABLE II. THE SCALE OF MEASUREMENT FOR ACCEPTANCE TEST Scale, Statistical Limits,
Rating,
Scale Statistical limits Rating Interpretation
5 4.21 - 5.00 Excellent Accepted
4 3.41 – 4.20 Very Good Accepted
3 2.61 – 3.40 Good Accepted
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2 1.81 – 2.60 Fair Not
1 1.00 – 1.80 Poor Not
RESULTS AND DISCUSSION
Fig. IV Three - Tier Architecture
The proposed AgriTrack: Digital Ordering and Monitoring System utilizes a three-tier architecture, a well-
established software application structure known for its scalability and efficiency. This architecture comprises
the presentation tier, the application tier, and the data tier. In the proposed AgriTrack system architecture, the
end users (consumers, riders, and admin) access the system online through the website application interface. The
application server side accepts and processes various user-submitted requests such as ordering, inventory
managing, and processing payments via this interface. The system efficiently processes these requests and stores
user inputs securely in the database.
Presentation Tier In the proposed AgriTrack architecture, the presentation tier serves as the user-facing interface
designed for a diverse consumer base. This tier encapsulates essential front-end functionalities, including user
registration, product browsing, and payment gateway integration. It acts as the primary gateway for user
interaction, allowing consumers to securely process payments and monitor order status throughout the delivery
lifecycle. A combination of PHP programming with Visual Studio Code enabled the development team to create
a visually appealing website that displays a variety of products, which simplified programming and testing.
Shoppers gained an easy shopping experience on the system, which features a responsive design so the website
can run on many various aspect ratios.
Application Tier The application tier functions as the system's logic engine, responsible for processing user
inputs, optimizing performance, and enforcing data security. Core business logic, such as order request handling
and inventory management, is centralized at this level to facilitate seamless communication between the user
interface and data storage layers. By managing these critical tasks, the application tier ensures the system’s
overall reliability and responsiveness to user demands.
Data Tier The data tier provides the structural foundation of the system, securely housing essential datasets
related to products, users, logistics, and transactions. This tier focuses on data integrity and reliability, supporting
the system’s long-term scalability and performance. By maintaining a robust database infrastructure, the data
tier enables the system to handle high volumes of concurrent transactions and data queries with high efficiency.
The integration of this three-tier architecture provides a scalable, secure, and efficient framework for the
AgriTrack system.
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CONCLUSIONS
The development of the AgriTrack: Digital Ordering and Monitoring System successfully addressed the
objectives of the study by providing a modern and efficient digital solution for Ttangkkuet Green Farm. Through
the assessment of the farm’s existing processes, the study identified limitations in the traditional methods of
selling, marketing, mapping products, and managing customer orders. The challenges encountered in the manual
system, such as inefficient order tracking, inventory management difficulties, and limited customer accessibility,
were thoroughly analyzed and considered during the system design and development.
To address these issues, the AgriTrack system was developed with key features including automated order
management, real-time stock monitoring, secure checkout and payment processing, and an order tracking
mechanism using unique tracking identifiers. These functionalities improved operational efficiency, enhanced
customer convenience, and provided greater transparency throughout the purchasing process. The system's
implementation on a web-based platform also enabled customers to access product information and services
anytime, contributing to a more effective marketing and sales approach.
Furthermore, the system was developed using Agile Methodology, which promoted continuous stakeholder
involvement and ensured that the resulting application met user requirements and expectations. The evaluation
of the system revealed a positive level of user acceptance among stakeholders, indicating that AgriTrack is
effective, reliable, and suitable for adoption. Overall, the AgriTrack: Digital Ordering and Monitoring System
successfully streamlines the farm-to-consumer ordering process and establishes a scalable digital framework that
supports the modernization and growth of agricultural commerce at Ttangkkuet Green Farm.
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