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

AMALIA, RIZKI and Oklilas, Ahmad Fali (2023) PENERAPAN ALGORITMA K-NEAREST NEIGHBOR UNTUK PENENTUAN LOKASI DAN METODE FUZZY TSUKAMOTO UNTUK PENENTUAN STOK DALAM MENANGANI SUPPLY CHAIN MANAGEMENT. Undergraduate thesis, Sriwijaya University.

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Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Supply Chain Management, Radio Frequency Identification (RFID), Algorithm K-nearest Neighbor, Fuzzy Tsukamoto.
Subjects:	T Technology > T Technology (General) > T58.6-58.62 Management information systems T Technology > T Technology (General) > T58.7-58.8 Production capacity. Manufacturing capacity > T58.7 General works T Technology > T Technology (General) > T58.7-58.8 Production capacity. Manufacturing capacity
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Rizki Amalia
Date Deposited:	05 Apr 2023 04:29
Last Modified:	05 Apr 2023 04:29
URI:	http://repository.unsri.ac.id/id/eprint/93311

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