Jurnal Riset Informatika
Vol. 3 No. 2 (2021): March 2021 Edition

RESTAURANT DENSITY PREDICTION SYSTEM USING FEED FORWARD NEURAL NETWORK

Muhammad Kurnia Sandi (Telkom University)
Anggunmeka Luhur Prasasti (Telkom University)
Marisa W. Paryasto (Telkom University)



Article Info

Publish Date
23 Mar 2021

Abstract

In this day and age, information about something is so important. The level of trust of modern society depends on the testing of information. Tested and accurate information will have a good impact on the community. One of the important but often missed information is information about the density of a restaurant. Information about restaurant density is important to know because it can affect the actions of someone who will visit the restaurant. This information is also useful to provide information in advance so that diners avoid full restaurants to avoid the spread of the Covid-19 virus, among other things. With limited operating hours as well as the number of restaurant visitors, information about the density of a restaurant becomes much needed. The lack of information on restaurant density is a major problem in the community. The needs of the community, made this study aims to predict the density of a restaurant an hour later. Based on survey data and existing literature data, with simulation methods and also system analysis built using feedforward neural network artificial intelligence architecture and then trained with Backpropagation algorithms produced an accuracy of 97.8% with literature data.

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Journal Info

Abbrev

jri

Publisher

Subject

Computer Science & IT

Description

Jurnal Riset Informatika, merupakan Jurnal yang diterbitkan oleh Kresnamedia Publisher. Jurnal Riset Informatika, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh peneliti dan dosen-dosen program studi Sistem Informasi dan Teknik ...