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Generation Journal
Article . 2023 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
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Generation Journal
Article . 2023
Data sources: Universitas Nusantara PGRI Kediri - Open Journal Systems
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Sistem Prediksi Jumlah Produksi Tahu Takwa Menggunakan Metode Fuzzy Tsukamoto Berbasis Web

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2023Publisher:Universitas Nusantara PGRI KediriJournal:Generation Journal, volume 7, pages 48-55 (issn: 2580-4952, eissn: 2549-2233, Copyright policy )
Authors: Bagus Dwi Prasetya; Syaputri, Rika Wahyu; Annisa, Fera; Wardana, Aldestra Bagas; Farida, Intan Nur; Syaputri, Rika Wahyu; Annisa, Fera; +2 Authors

doi: 10.29407/gj.v7i3.21148

Sistem Prediksi Jumlah Produksi Tahu Takwa Menggunakan Metode Fuzzy Tsukamoto Berbasis Web

Abstract

Takwa Popular Tofu Factory still uses estimates of the amount of production with no accurate calculation and computer technology. Therefore, the calculation system of the tsukamoto fuzzy method with a web-based concept is expected to minimize losses due to the amount of production that is not in accordance with market share. This study aims to assist the Takwa Popular Tofu factory in estimating the amount of daily production in accordance with market share. The test results using Mean Absolute Percentage Error (MAPE) show the accuracy of the system calculation of 95.90% with an error value of 4.09 so that the interpretation of the MAPE value is accurate.

Related Organizations
Keywords

Fuzzy algorithm, Tsukamoto fuzzy method, Production

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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