Applied Technology and Computing Science Journal
Vol 5 No 1 (2022): June

Analysis of the K-Nearest Neighbor Algorithm to Determine the Prediction of Tofu Production

Munif Munif (Universitas Islam Lamongan)
Mustain Mustain (Universitas Islam Lamongan)
Kurnia Yahya (Universitas Islam Lamongan)



Article Info

Publish Date
29 Dec 2022

Abstract

The tofu factory in Kedungpring does not yet have a prediction system to estimate the number of tofu that will be predicted for the next month. As a result, companies cannot meet market demand in a timely and appropriate amount. Therefore, it is necessary to make a prediction system to determine the amount of tofu production in Kedungpring District. In this research, the application of K-Nearest Neighbor Algorithm Analysis Application to determine the prediction of the number of Web-Based production to make it easy to predict the number of tofu production. The system functional test results show that all features in the application are able to run properly and functionally. Testing the accuracy of the prediction system K-Nearest Neighbor algorithm to determine the prediction of the number of web-based tofu production that can produces a MAPE of 0.68%

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Journal Info

Abbrev

ATCSJ

Publisher

Subject

Engineering Social Sciences

Description

Applied Technology and Computing Science Journal ( ISSN 2621-4458, E-ISSN 2621-4474) is a journal on all aspect of applied technology natural science that published online by Faculty of Engineering – University of Nahdlatul Ulama Surabaya. This journal published periodically twice in a year (on ...