SISTEM DECISION MAKING KUALITAS AIR TERBAIK BERBASIS ALGORITMA FUZZY LOGIC CONTROL (FLC) PADA SISTEM KERAMBA JARING APUNG (KJA)

RULIANSYAH, MUHAMMAD DEKA and Suprapto, Bhakti Yudho (2023) SISTEM DECISION MAKING KUALITAS AIR TERBAIK BERBASIS ALGORITMA FUZZY LOGIC CONTROL (FLC) PADA SISTEM KERAMBA JARING APUNG (KJA). Undergraduate thesis, Sriwijaya University.

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Abstract

Poor water quality problems can cause fish in floating net cages (KJA) to experience mass death. To overcome this, in this study an automatic KJA was developed that can adjust to water quality conditions. The KJA needs to be equipped with an autonomous buoy that has actuators and sensors so that it can move to find places with good water quality by comparing water quality values through sensor values on other buoys and KJA. In making decisions to find the best water quality position between buoys and KJA, a decision-making algorithm based on fuzzy logic control algorithms is needed. At the beginning of the test, a simulation was carried out using MATLAB software, then testing was carried out directly on the floating net cage system in the waters. The results of tests conducted using fuzzy logic control show that the floating net cage system will maintain its position if the water quality condition of KJA is "good", but when the water quality condition of KJA, buoy 1, buoy 2, and buoy 3 is "very bad" then the system will move to the position of buoy 4 then when the water quality condition of KJA, buoy 1, and buoy 2 is "very bad" then the system will move to the buoy 3 position. Thus, fuzzy algorithms is successfully used as a determination of water quality. And the output of the fuzzy algorithm is also successfully used in the decision making algorithm to determine the next target location of the movement in the autonomous KJA system if the KJA has poor water quality.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Buoy, Fuzzy Logic, , KJA, Kualitas Air, Decision Making.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK1 Electrical engineering--Periodicals. Automatic control--Periodicals. Computer science--Periodicals. Information technology--Periodicals. Automatic control. Computer science. Electrical engineering. Information technology.
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	Muhammad Deka Ruliansyah
Date Deposited:	25 Sep 2023 01:23
Last Modified:	25 Sep 2023 01:23
URI:	http://repository.unsri.ac.id/id/eprint/129090

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