Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407006246	T159177	T1591772024	Central Library (REFERENCE)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1591772024

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xiv, 165 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.320 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

logika fuzzy sugeno
Prodi Sistem Komputer

Specific Detail Info

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Statement of Responsibility

TUTI

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