Fuzzy Logic is a development of Binary Logic that can be used to analyze data in research in both the exact and social fields. In this study, fuzzy logic is used to analyze data in a "Ayam Goreng Murah Rezeki" restaurant related to three linguistic attributes, each of which consists of two linguistic variables: Inventory (Little, Many), Sales (Down, Up), and Purchases (Reduced, Increased) using the Mamdani method. The purpose of the study is to provide an input value of Inventory and Sales to get a Purchase output value. The results of data analysis using a linear down graph and a linear upward graph on each linguistic variable with the Mamdani method yield results in the estimated area or range.
The future of humans on this tiny planet earth has
entered a grim beginning in the midst of rapidly growing
technological progress. How not, human life whose population is
growing fast is not comparable to food as a source of life that
grows slowly. This study aims to calculate the cross point or
equilibrium point between population and food using the
population series and food series of Thomas Robert Malthus
original and the results of its development by Matius Irsan Kasau.
The data and methods used are types of secondary data sourced
from the Indonesian Central Statistics Agency (BPS), which is
processed by a mathematical method that compares the
population with food in each series. The results of research with
Indonesian data in 2010 showed that for the original Malthus
theory with the number of children on average per couple of 4
people, the distance between generations 25 years, 75 years of life
expectancy, population 237 million, food 66.5 million tons
obtained equilibrium point occurred in 2085, namely in the third
generation. As for Malthus's theory of development results with
an average number of children of 2.6 people, a distance between
23 years generation, and 69 years of life expectancy, the
equilibrium point was obtained in 2171, namely the seventh
generation of the current generation.
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