Sistem Pengendalian Kualitas Air Pada Kolam Ikan Koi Menggunakan Metode Fuzzy Logic

Baktiono, Muhammad Adam Yutvian (2024) Sistem Pengendalian Kualitas Air Pada Kolam Ikan Koi Menggunakan Metode Fuzzy Logic. Diploma thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Indonesia memiliki potensi besar dalam pengembangan ikan hias, dengan lebih dari 400 dari 1100 spesies ikan hias air tawar yang diperjualbelikan secara global. Ikan koi (Cyprinus rubrofuscus) adalah salah satu komoditas yang populer dan bernilai tinggi di pasar internasional. Kualitas air yang buruk dalam budidaya ikan koi dapat disebabkan oleh penumpukan limbah organik, perubahan pH, dan TDS yang tidak stabil, serta faktor eksternal seperti air hujan asam atau tercemar, dan penggunaan bahan kimia yang tidak tepat. Parameter penting yang harus dipantau meliputi pH (6,5-8,0), suhu air (20°C-30°C), dan TDS (150 ppm). Perubahan kualitas air dapat menyebabkan penyakit seperti Koi Herpes Virus (KHV) dan parasit Myxobolus sp., yang dapat menyebabkan kematian massal. Oleh karena itu, diperlukan sistem monitoring kualitas air yang efektif. Sistem ini dapat memantau kualitas air secara real-time menggunakan sensor pH, sensor suhu, dan sensor TDS, dengan nilai rata – rata eror sebesar 2,93%, yang diintergrasikan dengan Metode Fuzzy Logic. Metode Fuzzy Logic Mamdani dapat diterapkan pada penelitian proyek akhir ini tetapi memiliki rata – rata eror dibandingkan dengan nilai aktual dan simulasi mathlab yaitu sebesar 2,47% untuk sistem heater dan 0,56% untuk sistem pompa. Sistem ini dapat dimonitoring melalui aplikasi Android dan Website, sehingga memudahkan pengelolaan kolam ikan koi dan meningkatkan produktivitas budidaya ikan koi.
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Indonesia has great potential in developing ornamental fish, with more than 400 of the 1100 species of freshwater ornamental fish traded globally. Koi fish (Cyprinus rubrofuscus) is a popular and highly valued commodity on the international market. Poor water quality in koi fish farming can be caused by the buildup of organic waste, changes in pH, and unstable TDS, as well as external factors such as acidic or polluted rainwater, and the use of inappropriate chemicals. Important parameters that must be monitored include pH (6.5-8.0), water temperature (20°C-30°C), and TDS (150 ppm). Changes in water quality can cause diseases such as Koi Herpes Virus (KHV) and the parasite Myxobolus sp., which can cause mass deaths. Therefore, an effective water quality monitoring system is needed. This system can monitor water quality in real-time using pH sensors, temperature sensors and TDS sensors, with an average error value of 2.93%, which is integrated with the Fuzzy Logic Method. Mamdani's Fuzzy Logic method can be applied to this final project research but has an average error compared to the actual value and mathlab simulation, namely 2.47% for the heater system and 0.56% for the pump system. This system can be monitored via the Android application and website, making it easier to manage koi fish ponds and increasing the productivity of koi fish farming.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	Cyprinus rubrofuscus, Kualitas Air, Otomatisasi, PH Air, Water Quality, Automation, Water PH
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T57.62 Simulation T Technology > T Technology (General) > T58.8 Productivity. Efficiency
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Muhammad Adam Yutvian Baktiono
Date Deposited:	23 Aug 2024 07:46
Last Modified:	23 Aug 2024 07:46
URI:	http://repository.its.ac.id/id/eprint/115510

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