HANTONO, ADI (2008) PEMODELAN PEMROGRAMAN LINIER DENGAN KENDALA KABUR DAN PENYELESAIAN OPTIMASI MENGGUNAKAN PROGRAM QUANTITATIVE SYSTEM (QS). Other thesis, University of Muhammadiyah Malang.

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Abstract
Model of linear programming consist of two main components. They are objective function and constraint. The objective function related with the aim that will be achieve. It’s will be maximized if assert a profit or will be minimized if connected with production cost. Ones of the based assumptions of linear programming are a certain assumption. That’s means that every parameter, data’s in the model of linear programming contain of the coefficient of aim function, constant on the right and coefficient technology that know certainly (Winston, 2003:54). But on practices, the assumption is seldom fulfilled. It is because the most of linear programming formulated for choose the action or decision in the future (uncertain). Fuzzy set theory that developed by L. Zadeh in the mid of 60’s succeed to make a decision problem solve in the fuzzy neighborhood or uncertain. The problem solving of linear programming usually uses the graph method for two variables and simplex method for more than two variables. The necessary of linear programming that used in the kind of areas is increasingly, so we need more efficient linear programmer to solve the linear programming problem. Ones of the linear programmers are Quantitative System (QS). Based on that conditions, linear program modeling with fuzzy constrain and solving of optimization using QS program to produce the maximum product. Using linier program modeling with fuzzy constrain made the product more maximum than using the ordinary linear program, beside that used the computer program QS is more efficient than used the manual process.
Item Type:  Thesis (Other) 

Subjects:  L Education > L Education (General) 
Divisions:  Faculty of Teacher Training and Education > Department of Mathematics and Computing 
Depositing User:  Anggit Aldila 
Date Deposited:  05 May 2012 02:51 
Last Modified:  05 May 2012 02:51 
URI :  http://eprints.umm.ac.id/id/eprint/4320 
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