Universal Journal of Agricultural Research Vol. 11(6), pp. 1089 - 1101
DOI: 10.13189/ujar.2023.110616
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Prediction of Freshwater Fish Disease Severity Based on Fuzzy Logic Approach, Arduino IDE and Proteus ISIS

Ridwan Siskandar ^1,*, Wiyoto Wiyoto ², Sesar Husen Santosa ³, Agung Prayudha Hidayat ³, Billi Rifa Kusumah ⁴, Muhammad Danang Mukti Darmawan ^1
1 Computer Engineering Technology Study Program, College of Vocational Studies, IPB University, Indonesia
² Production Technology and Management of Aquaculture Study Program, College of Vocational Studies, IPB University, Indonesia
³ Industrial Management Study Program, College of Vocational Studies, IPB University, Indonesia
⁴ Fishing Technology Study Program, Faculty of Marine and Fisheries Technology, Nahdlatul Ulama University of Cirebon, Indonesia

ABSTRACT

This study examines the importance of maintaining the health quality of freshwater fish to increase aquaculture yields. Fish diseases such as Ichthyophthirius, Saprolegniasis, and Columnaris are often a serious threat to freshwater fish farmers. The purpose it was to predict the severity of fish disease and diagnosis of freshwater fish disease by calculating the inputs of water clarity, water temperature, oxygen levels, mild disease, moderate disease, and severe disease. The fuzzy logic method (fuzzy membership function, fuzzy rule base, defuzzification) is used to predict the output variable in the form of disease severity and disease diagnosis. The simulation of the fuzzy logic approach through analytical and computational calculations (MATLAB software) produces variable output values (disease severity and disease diagnosis values) that are exactly the same as the results of programming simulations based on Arduino IDE and Proteus ISIS. This shows that the integration of the two simulations has been going well. The results of the simulation measurements are displayed on the LCD display by displaying the variable values

KEYWORDS
Arduino IDE, Water Quality, Fuzzy Logic, Prediction Disease, Freshwater Fish Disease Severity

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Ridwan Siskandar , Wiyoto Wiyoto , Sesar Husen Santosa , Agung Prayudha Hidayat , Billi Rifa Kusumah , Muhammad Danang Mukti Darmawan , "Prediction of Freshwater Fish Disease Severity Based on Fuzzy Logic Approach, Arduino IDE and Proteus ISIS," Universal Journal of Agricultural Research, Vol. 11, No. 6, pp. 1089 - 1101, 2023. DOI: 10.13189/ujar.2023.110616.

(b). APA Format:
Ridwan Siskandar , Wiyoto Wiyoto , Sesar Husen Santosa , Agung Prayudha Hidayat , Billi Rifa Kusumah , Muhammad Danang Mukti Darmawan (2023). Prediction of Freshwater Fish Disease Severity Based on Fuzzy Logic Approach, Arduino IDE and Proteus ISIS. Universal Journal of Agricultural Research, 11(6), 1089 - 1101. DOI: 10.13189/ujar.2023.110616.