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Fuzzy Multi Criteria Decision Making To Classify Land Capability and Suitability
Adi Heru Utomo, Aji Seto Arifianto

Politeknik Negeri Jember


Abstract

Classification of land suitability and suitability is quite difficult. Classification in class is based on the intensity of the inhibiting factors. Land is grouped into eight classes marked with Roman letters from I to VIII. Land classes ranging from classes I to VII, are used to determine the appropriate type of plant to be planted on the land. While the land in Class VIII should be left in a natural state. The results of the classification are also often wrong because the grouping of land in eight classes is done using strict logic (crisp). Using the crisp set to state classification is very unfair, a small change in a value results in quite significant differences in categories. For example in determining the magnitude of the slope, a difference of one degree will cause the difference in the determination of land classes. Therefore used fuzzy set to anticipate this. Unlike digital logic which only has two values ​​of 1 or 0, fuzzy logic can be used to translate a quantity that is expressed using linguistic language, for example the magnitude of the slope of the slope is expressed flat, rather steep, steep, and very steep. And fuzzy logic shows the extent to which a value is true and the extent to which a value is wrong. Multi Criteria Decision Making (MCDM) is a method of decision making to determine the best alternative from a number of alternatives based on certain criteria. Criteria are usually in the form of measurements, rules or standards used in decision making. The problem formulated in this study is how to use Fuzzy Multi Criteria Decision Making to determine the classification of land capability and suitability. The purpose of this study is to create a system that can facilitate the classification of land suitability and suitability using Fuzzy Multi Criteria Decision Making. The stages of this study consisted of three stages: 1. The problem representation stage, including: setting decision goals, identifying alternatives, identifying criteria, and establishing a hierarchy of decision structures; 2. The fuzzy set evaluation stage of decision alternatives, including: determining linguistic variables and membership functions, setting a rating for each criterion, and calculating the fuzzy suitability index for each alternative; and Defuzzy stage in order to find optimal alternative values. The expected target of achievement at the end of this research is the creation of a capability and land suitability classification system using fuzzy multi criteria decision making.

Keywords: Classification, Fuzzy, Land Suitability, MCDM

Topic: IT for Agriculture

Link: https://ifory.id/abstract/DUqFeJT4HByC

Conference: The 2nd International Conference on Food and Agriculture (ICoFA 2019)

Plain Format | Corresponding Author (Adi Heru Utomo)

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