SISTEM PENGATUR TINGKAT KEKERUHAN AIR DENGAN KENDALI LOGIKA FUZZY MENGGUNAKAN IOT ( Internet Of Things )

SEMBIRING, ANASTASYA and Setiawan, Deris and Sembiring, Sarmayanta (2020) SISTEM PENGATUR TINGKAT KEKERUHAN AIR DENGAN KENDALI LOGIKA FUZZY MENGGUNAKAN IOT ( Internet Of Things ). Undergraduate thesis, Sriwijaya University.

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Abstract

Water turbidity level is the one of the most important factors to maintain the quality of fish life in fish farming. To maintain the water turbidity value in the aquarium, it is need monitoring, so that the water in the aquarium is not too turbid which results inhibition of growth of fish. Aquarium water cleaning is done by mixing water into the aquarium with clean water that has a lower NTU (Nephelometric Turbidity Unit) value than the water in the aquarium. This water turbidity level control system is made using fuzzy logic control method, monitoring is perform using Blynk platform Internet of Things concept. Turbidity sensor is used to detect water turbidity values, water flow sensor is used to calculate the volume of water flowing. In this research, two water flow sensors are used which have a different functions, that is as a water filling volume counter and as a water disposal volume counter. HC-SR04 sensor or Ultrasonic sensor are used to detect volume of water in the aquarium. From the tests performed, the feasibility of turbidity sensor is 98,29%, water flow sensor for water filling is 96,97%, water flow sensor for water disposal is 94,51% and for the HC-SR04 sensor is 93,19%. The result of this research is added clear water into the aquarium can reduce the turbidity of the water in the aquarium, and the water turbidity value can be determined by the user. This Control system works well, Blynk can display sensor values accurately, and user can control the water turbidity value according to the user's wishes, monitoring and controlling of this system can be accessed using smartphone.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Nephelometric Turbidity Unit, Internet Of Things, Fuzzy, Blynk
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
T Technology > T Technology (General) > T58.4 Managerial control systems Information technology. Information systems (General)
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Anastasya Sembiring
Date Deposited: 16 Nov 2020 02:46
Last Modified: 16 Nov 2020 02:46
URI: http://repository.unsri.ac.id/id/eprint/35796

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