IMPLEMENTASI METODE FUZZY LOGIC SUGENO UNTUK DETEKSI KUALITAS AIR PADA REMOTELY OPERATED VEHICLE(ROV)

NURROCHIM, HADI and Zarkasi, Ahmad (2024) IMPLEMENTASI METODE FUZZY LOGIC SUGENO UNTUK DETEKSI KUALITAS AIR PADA REMOTELY OPERATED VEHICLE(ROV). Undergraduate thesis, Sriwijaya University.

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Abstract

This research is motivated by the increasing amount of clean water quality pollution, this water quality pollution has an impact on society, with a large amount of water quality pollution so it is formulated in this research how to determine water quality by detecting the water quality with a water quality detection tool that has a high level of accuracy. The aim of this research is to be able to create a detection tool that can detect water quality using Sugeno Fuzzy Logic artificial intelligence and to design a system that can detect water quality with a high level of accuracy. This research uses the Sugeno fuzzy logic method with stages of fuzzification, rule base, implication and defuzzification with input values from the detection results from the sensor. The conclusion of this research is that the blind program system shows that the system can be used to detect water quality using the Sugeno fuzzy logic method and the system created has an error of 0.93% in soapy water and 0.125% in water, which proves that the system created has high level of accuracy.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Fuzzy Logic Sugeno
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ1125-1345 Machine shops and machine shop practice > TJ1180 Machining, Ceramic materials--Machining-Strength of materials-Machine tools-Design and construction > TJ1180.I34 Machining-Machine tools-Numerical control-Computer integrated manufacturing systems-Artificial intelligence
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Hadi Nurrochim
Date Deposited:	11 Nov 2024 05:01
Last Modified:	11 Nov 2024 05:01
URI:	http://repository.unsri.ac.id/id/eprint/159177

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