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All Journal Journal of Deep Learning, Computer Vision and Digital Image Processing JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Tenriajeng, Andi Afrah
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Computer Science & IT

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Journal : Journal of Deep Learning, Computer Vision and Digital Image Processing

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Sistem Penentuan Produksi Makanan Pada Warung Sate Madura Malengkeri Menggunakan Fuzzy Logic Metode Tsukamoto Amatullah, Mutia; Sumarnie; Tenriajeng, Andi Afrah
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 2 Issue 1 Maret 2024
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v2i1.301

Abstract

The production determination system using the Tsukamoto fuzzy method can be used to determine the optimum quantity in satay production. However, if the quantity of products produced by Warung Sate Madura Malengkeri is less than the customer demand, the eatery will miss the opportunity to maximize profits, and vice versa. Therefore, planning the production quantity in Warung Sate Madura Malengkeri is crucial to meet customer demand with the appropriate quantity.
Co-Authors Amatullah, Mutia Andi Baso Kaswar Andi Baso Kaswar Arifky, Reza Azis, Putri Alysia R, Muh Raflyawan Sumarnie