PENERAPAN METODE MIN MAX STOCK UNTUK PENGENDALIAN PERSEDIAAN STOCK BARANG BERBASIS MIKROTIK MENGGUNAKAN VIRTUAL PRIVATE NETWORK DALAM MENANGANI SUPPLY CHAIN MANAGEMENT

DANU, AGUNG JIWAN and Oklilas, Ahmad Fali (2023) PENERAPAN METODE MIN MAX STOCK UNTUK PENGENDALIAN PERSEDIAAN STOCK BARANG BERBASIS MIKROTIK MENGGUNAKAN VIRTUAL PRIVATE NETWORK DALAM MENANGANI SUPPLY CHAIN MANAGEMENT. Undergraduate thesis, Sriwijaya University.

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Abstract

With the development of information technology regarding supply chain management to control data directly related to information technology, inventory control cannot be successful solely relying on information. A support system is needed to estimate the addition of the number of stock items, so that the stock items can be more aligned with the sales of goods. Supply chain management includes controlling stock inventory to make it more efficient. This research has successfully implemented Supply Chain Management in improving quality and efficiency in determining inventory using the min max stock method through 5 streams of producers, distributors, agents, stores and consumers who have been proven to get min and max value results in 4 scenarios. Using RFID technology by reading the data on the stock item assistance tag by attaching the tag to the antenna used by applying 4 work environment parameters and calculating incoming and outgoing goods data through the method used. As well as using a VPN by creating a local host network via a proxy as an access point connected to a wifi router to share RFID reading results from a server PC to a client PC with 4 users on the login menu and admin as a server to manage server changes so that system security is guaranteed safe.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Min Max Stock, Supply Chain Management, Mikrotik, Virtual Private Network, Radio Frequency Identification.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	AGUNG JIWAN DANU
Date Deposited:	01 Aug 2023 08:54
Last Modified:	01 Aug 2023 08:54
URI:	http://repository.unsri.ac.id/id/eprint/123068

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