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WEB-BASED FOOD ORDERING USING ESTIMATE TIME AND SORTING ALGORITHMS

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dc.contributor.author Hardiyanto, Muhammad Wildan
dc.date.accessioned 2024-10-15T07:20:46Z
dc.date.available 2024-10-15T07:20:46Z
dc.date.issued 2023
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/11915
dc.description.abstract During the fourth industrial revolution, technology is making fast progress. People don't have to download a computer app to their smartphone to look at a website. People can go to it on the internet. This is called the "fourth industrial revolution." At the start of 2020, a bad thing called COVID-19 happened, which caused a lot of businesses to stop. During this time, many restaurants stayed open but had less contact with customers because the government implemented rules like PSBB or PPKM to stop the spread of the virus. So businesses could deal with these changes, a way to order food was made. People can't stay locked up in their homes forever. Indonesian businesses need to make progress in order to work well. Also, Indonesia has a lot of different kinds of food, and people from other parts of the country and people from other countries should try some of the best dishes here. Many restaurants have their own ways of ordering food now. Seeing this problem, a web food ordering system namely e-food was created, which has different methods and features from other food ordering applications. One of the most important parts is that it stops offline lines from being too long. The project used the Greedy algorithm theory and linear equation formula to determine how long it would take to finish an order. Also, the app makes it easier for customers and customer service to talk to each other, so users don't have to ask about their orders if there are delays. This makes it easy for buyers to find out quickly when their orders are ready. en_US
dc.language.iso en_US en_US
dc.publisher President University en_US
dc.relation.ispartofseries Information Technologies;001202000046
dc.title WEB-BASED FOOD ORDERING USING ESTIMATE TIME AND SORTING ALGORITHMS en_US
dc.type Thesis en_US


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