ONLINE FOOD ORDERING SYSTEM

FAIDHALLA AHMED MOHAMMED JAASAR, 04319059 (2023) ONLINE FOOD ORDERING SYSTEM. Undergraduate thesis, Universitas Narotama.

[img] Text (HALAMAN JUDUL)
cover.pdf

Download (4MB)
[img] Text (BAB I)
bab I.pdf

Download (4MB)
[img] Text (BAB II)
bab II.pdf

Download (4MB)
[img] Text (BAB III)
bab III.pdf

Download (4MB)
[img] Text (BAB IV)
bab IV.pdf

Download (4MB)
[img] Text (BAB V)
bab V.pdf

Download (4MB)
[img] Text (DAFTAR PUSTAKA DAN LAMPIRAN)
lampiran dan daftar pustaka.pdf

Download (5MB)

Abstract

The purpose of this study is to develop an efficient system for ordering food online and saving the customers from the trouble of visiting restaurants and waiting in long queues. The main objective of the system is to provide comfort to the customers by enabling them to order online by just a few clicks and providing convenience to both end users and restaurant management. This study mainly focuses on the increasing trend of online ordering. The system should be reliable and easy to use. Moreover, it should also address the problems identified in the existing system and should strive to develop a better and user-friendly online food ordering system. The system will be developed by using HTML, CSS, JavaScript, and Bootstrap for the frontend development of the application while PHP will be used for backend development of the system. Online food ordering system will use MySQL server as it is the most secure and scalable server. Furthermore, online food ordering system will be using Windows and Apache HTTP server due to their better performance and increased efficiency and reliability. We have chosen Google Chrome as a web browser due to its fast speed, reliability and accessibility form any type of device. In term of analysis a detailed analysis of the business / industrial environment was conducted. Both PESTEL analysis and SWOT analysis was performed to understand the scope of the system.

Item Type: Thesis (Undergraduate)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komputer > Teknik Informatika
Depositing User: Repository Administrator
Date Deposited: 22 Jan 2024 04:21
Last Modified: 22 Jan 2024 04:21
URI: http://repository.narotama.ac.id/id/eprint/1945

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year