Open AccessApplication of Mamdani and Sugeno Fuzzy Toward Ready-Mix Concrete Quality Control
Author(s) -
Supina Batubara,
Eko Hariyanto,
Sri Wahyuni,
Indri Sulistianingsih,
Nova Mayasari
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1255/1/012061
Subject(s) - fuzzy logic , quality (philosophy) , computer science , control (management) , value (mathematics) , artificial intelligence , range (aeronautics) , machine learning , engineering , philosophy , epistemology , aerospace engineering
The value of concrete compressive strength based on several methods of acceptance requirements of concrete in Indonesia to obtain a more economical concrete quality is recommended using SNI 03-2847-2002 rules as a reference in the evaluation and quality control of concrete. Fuzzy logic is different from ordinary digital logic, where the usual digital logic only recognizes two condition that is “yes” or “no”. While Fuzzy logic imitate the way of human thinking by using the concept of the pseudonym of a value. the Mamdani type and Sugeno type is resulted in the same decision, although there was a difference in the calculation of the final result but still within the same range of manual calculations with the calculation with the help of MATLAB. Both fuzzy can be applied in determining the quality of concrete because it produces the same decision. Although both fuzzy method can be used in determining the quality but the more recommended is the Mamdani type because Mamdani type result of calculation is closer to the actual result, and while there is input change is entered then the end result will change but Sugeno type while input change value is not too big the change then the end result also there will be no change.