Aplikasi Pengolahan Data Order Pelanggan Dan Pengendalian Stok Dengan Menggunakan Metode Lagrange Multipliers (Studi Kasus Percetakan CV. Idea Kupang)

WAE, Petrus K. A. A. W. (2015) Aplikasi Pengolahan Data Order Pelanggan Dan Pengendalian Stok Dengan Menggunakan Metode Lagrange Multipliers (Studi Kasus Percetakan CV. Idea Kupang). Undergraduate thesis, Universitas Katolik Widya Mandira.

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Abstract

CV.IDEA Kupang Printing is one of the privately-owned company engaged in the printing and sale of the sharing of ATK. Process transactions that occur both purchases and sales are still using manual recording just making it less effective in pembutan report and review of data. Another issue is the flow of the stock and the purchase of goods from supllier done without any definite estimate of the CV. IDEA Printing. Lagrange Multiplier very suitable to be applied in solving the problems of stock control many types of goods on printing cv. the idea of seeing the constraints contained in the printing cv. the idea of the area's Shelter and the value of a good investment, while the parameters used problem solving, among others Ordering Cost, Cost Holding, the number of items for each type of goods, solve the constrain optimization and the area for one type of goods. Other methods besides lagrange multiplier among other pending inventory model (back orders). Lagrange Multipliers is more suitable than the other inventory control methods because it can handle many types of goods and see assumptions – assumptions that exist. In this study using a unified method development process for software engineering. Unified process has four stages, namely inception, elaboration, construction and transition. This application is built using the Java language, MySQL database, and iReport as tools to design reports. This research resulted in an application data processing customer orders and stock control in the CV. IDEA Kupang Printing that simplify the process of data processing of orders and stock, making the report and the process of calculating the optimal value for the purchase of an item will save in warehouse.

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