SELF-ORDERING SYSTEM FOR RESTAURANT USING QR CODE

SHAHIRA NAZIRA, SHAHROL RIZAL (2019) SELF-ORDERING SYSTEM FOR RESTAURANT USING QR CODE. [Final Year Project Report] (Unpublished)

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Abstract

Technological advancement allows more development of system use in everyday life to ease the work system of human. In this project we will focus on the technological approach towards system of ordering in the restaurant. As we all have been known, the traditional way of ordering system is the paper-based approach where waiter will approach customer to their table and write down all the order on the paper. Next, the paper will be sent to the kitchen staff and they will sort it out by first-come-first served approach. This traditional system of taking order has been analysed its downside. The main concern on this traditional system is the burden towards waiter side that has so much workload during the work hour. Also, the time consume for waiter to wait on the customer to pick menus and choose order. In the meantime, the probability of waiter to falsely write down order makes it troublesome to the workflow and customer satisfaction Therefore, technological approach will be implemented on this system where it will utilising QR code so that customer can self-served and have their time to choose order without taking time of waiters. This will help to ease the workflow of the restaurant management. Also, the system will be improved by having recommended menus so that customer can have few suggestions on their option for their order. This can increase customer experience hence will create customer loyalty towards the restaurant.

Item Type: Final Year Project Report
Additional Information: Project Report (BSc.) -- Universiti Malaysia Sarawak, 2019.
Uncontrolled Keywords: traditional system, Technological advancement, system of ordering, QR code, restaurant management.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 20 Jan 2021 08:13
Last Modified: 20 Jan 2021 08:13
URI: http://ir.unimas.my/id/eprint/33946

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