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

Skripsi

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

Ruliansyah, Muhammad Deka - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
2307005810T129090T1290902023Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1290902023
Publisher
Indralaya : Jurusan Teknik Elektro, Fakultas Teknik Universitas Sriwijaya., 2023
Collation
xii, 46 hlm.; Ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.360 7
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Program aplikasi
Jurusan Teknik Elektro
Specific Detail Info
-
Statement of Responsibility
PITRIA
Other version/related

No other version available

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