Artificial Intelegence APLIKASI PEMILIHAN BERAS BERDASARKAN REFERENSI KONSUMEN MENGGUNAKAN FUZZY LOGIC

Rice is the most important staple food for humans to have energy to carry out activities. The purpose of this study is to provide information to the public in the form of a reference for selecting rice based on consumer interest, so that it can be used as a decision making in buying rice. The Mamdani method is a method that is able to solve problems in the case of rice selection based on consumer references. The work process of the Sugeno method consists of four parts, namely fuzification, inference engine, implication function amplification and the last one is defuzzification. The final result, the Mamdani method has the characteristics of using the AND operator and using the min-max value. This research is in the form of a decision-making system in rice selection based on references from consumers by looking at four aspects of criteria such as price, quality, taste, and shape variables, these four aspects can be used as a reference in rice selection. Sugeno fuzzy logic to get the final value.The Mamdani method is a very effective method in selecting rice according to the needs and interests of consumers so that potential consumers can easily choose rice according to their interests and desired criteria.

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Logika Fuzzy dengan Metode Mamdani dalam Menentukan Tingkat Peminatan Tipe Motor Honda

Jurnal Informatika Ekonomi Bisnis ◽

10.37034/infeb.v3i1.60 ◽

2020 ◽

Author(s):

J Jufriadi ◽

Gunadi Widi Nurcahyo ◽

S Sumijan

Keyword(s):

Decision Making ◽

Fuzzy Logic ◽

Programming Language ◽

Engine Speed ◽

Fuel Tank ◽

The Public ◽

Decision Making System ◽

Tank Capacity ◽

Input Variables ◽

Oil Fuel

Honda motorcycles are in demand by the public as a cheap means of land transportation. CV Hayati is the main motorcycle dealer company in Padang. In carrying out its activities, CV Hayati needs to consider several factors when selling motorcycles that are in demand by consumers. However, CV Hayati still uses manual means in looking at the interest in the motor that will be purchased by consumers. To solve the problem, a system is needed that can help with decision-making by consumers in purchasing motors according to their interests. In this study, the decision to buy a motor that consumers were interested in was done using the fuzzy logic of mamdani method. With the decision-making system in motor interest, it is expected to help and facilitate consumers in determining the motor they are interested in buying. The results of this study can be viewed using the PHP programming language and MySQL database, with the fuzzy logic of the mamdani method. Where in the fuzzyfication process consider several input variables namely: price, oil fuel tank capacity, engine speed, baggage capacity and vehicle weight. So that by defuzzification can be determined the recomedation of motors that are in demand by consumers.

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ANALISIS RULE INFERENSI FUZZY MAMDANI DALAM MENENTUKAN IPK AKHIR

JURNAL TEKNOLOGI INFORMASI ◽

10.36294/jurti.v1i1.22 ◽

2017 ◽

Vol 1 (1) ◽

pp. 22

Author(s):

Khairul Saleh

Keyword(s):

Decision Making ◽

Fuzzy Logic ◽

Mathematical Models ◽

Dynamic Systems ◽

Fuzzy Systems ◽

Chaotic Dynamics ◽

Complex Dynamic ◽

Grade Point ◽

Complex Dynamic Systems ◽

Decision Making System

Abstract - In the world of education to achieve the level of success, of course, they have a benchmark for the success of students, one of them is the Grade Point Average (GPA). The purpose of this study is to determine the final GPA so that later it can be used as a reference to predict the success rate of students. The issue of decision-making systems using Fuzzy systems is very suitable for definite reasoning or estimation, especially for systems with strict mathematical models that are difficult to get a definite decision. Fuzzy logic can be used to describe a system of chaotic dynamics, and fuzzy logic can be useful for complex dynamic systems where solutions to common mathematical models cannot work well. The Mamdani method computes efficiently and works well with optimization and adaptive techniques, which makes it very good in control problems, especially for dynamic non-linear systems. Keywords - Cumulative Achievement Index (GPA), fuzzy system, decision making system, mamdani information

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Intelligent Predicting Learning Disabilities in School Going Children using Fuzzy Logic K Mean Clustering in Machine Learning.

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.c5620.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 1694-1698

Keyword(s):

Social Sciences ◽

Machine Learning ◽

Decision Making ◽

Learning Disabilities ◽

Fuzzy Logic ◽

Side Effects ◽

Early Analysis ◽

Comprehensive Investigation ◽

Engineering Statistics ◽

Decision Making System

Learning disabilities (LD) is turning into a major issue in various nations around the globe which can even contrarily influence human common advancement. The undertaking of this work is to help the specialized programme network in their task to be with the standard. The underlying section of the paper gives a comprehensive investigation of the distinctive components of diagnosing learning disabilities. Despite the fact that LD can be analysed early - before 5 years of age, most youngsters were not determined to have LD until the age of nine on account of its unpredictable side effects and unclear indication in children disorder issue. Fuzzy logic K-means clustering has inspired a tremendous transformation in Machine learning and can take and able to resolve a variation of problems. This paper is the elaboration on the strategy for utilizing this mix to encourage the early analysis of LD. Since Fuzzy Logic clustering in Machine Learning is generally considered and connected in different areas of science, we invite all the related analysts from the fields of computer science, engineering, statistics, social sciences, healthcare, and so on, etc. The result of the paper demonstrates that the previously mentioned methodology can possibly be the potential of the supporting decision-making system in LD investigating and diagnosing.

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E-Participating Decision-Making Mechanism in the Public Administration System

10.4018/978-1-6684-3694-3.ch012 ◽

2022 ◽

pp. 214-235

Author(s):

Konur Alp Demir

Keyword(s):

Decision Making ◽

Public Administration ◽

Citizen Participation ◽

Electronic Government ◽

Management Model ◽

Demand System ◽

Flexible Structure ◽

Administration System ◽

The Public ◽

Decision Making System

In this chapter, an analysis of the electronic decision making system, which is thought to benefit from the heavy bureaucratic system which does not take into account the expectations of the citizen in the public administration system, will be used to make a more flexible structure. The focus of this chapter is on the need to design the decision-making mechanisms of the state according to the expectations of the citizen. For this purpose, requests and complaints from the citizens through the electronic environment should be taken into consideration in the decision-making process. In fact, this situation is reflected in the application of electronic participation management model. The application of this management model in the public administration system is the citizen participation complaint and demand system which is carried out under the name of electronic government. The examination of this system, which is an example of the application of participatory democracy, is important for the reflection of democratic values on the administration system.

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