Skripsi

PENERAPAN ALGORITMA K-NEAREST NEIGHBOR UNTUK PENENTUAN LOKASI DAN METODE FUZZY TSUKAMOTO UNTUK PENENTUAN STOK DALAM MENANGANI SUPPLY CHAIN MANAGEMENT

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Penilaian

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Supply Chain Management is the key to the excellence of a company. Good management can provide significant benefits in terms of cost, efficiency, and customer satisfaction. RFID systems utilize data retrieval by determining the target tag position for an object. The RSSI value indicates the signal strength processed by KNN to calculate the estimated position and error value of each other. As well as calculate the stock using the Tsukamoto fuzzy. This research was conducted in four different scenarios. The results of this study are for the minor error value in scenario 3 of 0.07m with an estimated position (Xe; Ye) of (0.2200; 0.6372) m for a stock of 5 boxes of each item.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307001400	T93311	T933112023	Central Library (REFERENS)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T933112023

Publisher

Indralaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer, Universitas Sriwijaya., 2023

Collation

viii, 103 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

658.02 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Manajemen perusahaan
Jurusan Sistem Komputer

Specific Detail Info

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Statement of Responsibility

ANUG

Other version/related

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