“Sistem Identifikasi Kualitas Air Pada Kolam Udang
Menggunakan Metode Fuzzy Tsukamoto Berbasis Iot
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Institusion
Politeknik Negeri Jember
Author
Bayuwandana, Yoga
Subject
458 - Teknik Informatika
Datestamp
2022-08-04 05:18:17
Abstract :
Vannamei shrimp (Litopenaeus vannamei) lives in American waters and is one type of white shrimp that is quite commercial. According to data from BPS (Central Statistics Agency) the production and value of capture fisheries production in public waters by province and the main commodities in 2018 especially shrimp in Indonesia reached 39,963 tons (Central Statistics Agency, 2020) and the selling price reached Rp. 2,354,684,796 (Central Bureau of Statistics, 2020). The choice of white shrimp is due to several factors, namely it is very popular in the American market, is more resistant to disease than other white shrimp, grows faster in cultivation and has a wide tolerance for environmental conditions. To create a water quality identification system to determine the value of water quality in shrimp ponds. Water quality identification can be done in real time using several tools including temperature sensors, salinity sensors, pH sensors, Wemos D1 Mini ESP8266 Microcontroller, LCD (Liquid Crystal Display), Arduino. In this study, researchers used the fuzzy tsukamoto method to identify water quality in shrimp ponds, because more accurate results were obtained. Based on the results of the calculation of the accuracy of the IoT tool, the researcher got an IoT tool accuracy value of 97.45%.
Vannamei shrimp (Litopenaeus vannamei) lives in American waters and is one type of white shrimp that is quite commercial. According to data from BPS (Central Statistics Agency) the production and value of capture fisheries production in public waters by province and the main commodities in 2018 especially shrimp in Indonesia reached 39,963 tons (Central Statistics Agency, 2020) and the selling price reached Rp. 2,354,684,796 (Central Bureau of Statistics, 2020). The choice of white shrimp is due to several factors, namely it is very popular in the American market, is more resistant to disease than other white shrimp, grows faster in cultivation and has a wide tolerance for environmental conditions. To create a water quality identification system to determine the value of water quality in shrimp ponds. Water quality identification can be done in real time using several tools including temperature sensors, salinity sensors, pH sensors, Wemos D1 Mini ESP8266 Microcontroller, LCD (Liquid Crystal Display), Arduino. In this study, researchers used the fuzzy tsukamoto method to identify water quality in shrimp ponds, because more accurate results were obtained. Based on the results of the calculation of the accuracy of the IoT tool, the researcher got an IoT tool accuracy value of 97.45%.
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