Title page
Certification
Dedication
Acknowledgement
Abstract
Table of content
1.1 Background of the study
1.2 Statement of the problem
1.3 Purpose of the study
1.4 Objective of the study
1.5 Scope of the study
1.6 Limitation of the study
1.7 Assumption
1.8 Definition of terms
LITERATURE REVIEW
3.0 Research Methodology
3.1 Method of Data Collection
3.1.1 Primary Method
3.1.2 Secondary Method
3.2 Process/Information Flow Analysis
3.3 Problem of the Existing System
3.4 Justification of the New System
3.5 Input and Output Design
3.6 File Design
3.7 System Flowchart
3.8 Architectural Design
4.1 Introduction
4.2 Program flowchart
4.3 Program source code
4.4 Program Implementation
5.1 Summary
5.2 Conclusion
5.3 Recommendation
BACKGROUND OF THE STUDY
1.1 INTRODUCTION
The advent of computer Technology has brought relief to repetitive tasks and has helped in the better management and origination of data. Information management system can be applied to any system that facilitates storage, management and retrieved of data and information required for some particular application within a computer system. This makes it easier for data to be handled or managed.
The stadium staffs have been finding it so difficult to manage information for example, in the existing system where everything is processed manually, the operators find it difficult to store, locate or retrieve information when necessary. Also the issue of crowd control and ticketing, which is needed in events to generate income for the sector. Processing ticket for an event manually can be costly, time – consuming and waste ticket stock which is always encountered in some event due to the excess ticket processed manually.
The computer system can be used in so many ways in the stadium, for example, crowd control, processing of ticket for an event, managing office files and so on.
This work concentrates on the computerized ticket, crowd control, information management in the stadium and facility management. With the aid of computer system, the data will be properly managed, organized and construction of a suitable program that will help in the management of stadium.
1.2 STATEMENT OF THE PROBLEM
Following the problem encountered in the organization, tickets that are processed for an event and the end, there will be left over (waste ticket stock) which create loss in the finance of the stadium unable to communicate with one another in other to share information which leads to time-consuming, re-entering of information and lack of centralized system for customer information.
1.3 OBJECTIVES OF THE STUDY
This work is aim to reduce the work of stadium operators, managers, and individuals. Furthermore, the aims of this work are to.
(i) Study the present way of processing ticket.
(ii) Design a new system that will be more convenient and efficient, which will take care of difficulties encountered in the present system.
(iii) Design a new system that will enable the organization control crowd in every event.
(iv) Design a system that will make access to record or information easier.
📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery
The project titled "Applying Machine Learning Techniques to Detect Financial Fraud in Online Transactions" aims to address the critical issue of detec...
The project titled "Anomaly Detection in IoT Networks Using Machine Learning Algorithms" focuses on addressing the critical challenge of detecting ano...
The project titled "Applying Machine Learning Algorithms for Predicting Stock Market Trends" aims to explore the application of machine learning algor...
The project titled "Applying Machine Learning Algorithms for Sentiment Analysis in Social Media Data" focuses on utilizing machine learning algorithms...
The project titled "Applying Machine Learning for Predictive Maintenance in Industrial IoT Systems" focuses on leveraging machine learning techniques ...
The project, "Implementation of a Machine Learning Algorithm for Predicting Stock Prices," aims to leverage the power of machine learning techniques t...
The project titled "Development of an Intelligent Traffic Management System using Machine Learning Algorithms" aims to revolutionize the traditional t...
No response received....
The project titled "Applying Machine Learning for Intrusion Detection in IoT Networks" aims to address the increasing cybersecurity threats targeting ...