The Applications of Mamdani Fuzzy in Water Selection of Pangas Catfish Ponds
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Mar 6, 2024
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Abstract
In the field of fisheries, the selection of ponds water for Pangas catfish is very important because it affect the production and quality of fish. The purpose of this research is to apply the Mamdani fuzzy method in selecting suitable ponds water for Pangas catfish. The method used includes collecting data on water quality and environmental conditions, constructing the Mamdani fuzzy system and evaluating the results of selecting ponds water. The results of the study show that the Mamdani fuzzy method is able to provide a good solution in selecting ponds water for Pangas catfish by combining several factors such as temperature, pH and oxygen solubility. This concept can be used as a consideration in selecting the right ponds water for Pangas catfish so as to increase fish production and quality.
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Adi, R., Michelli, L., Alkori, H., & Ramadhan, R. (2024). The Applications of Mamdani Fuzzy in Water Selection of Pangas Catfish Ponds. Journal of Informatics Information System Software Engineering and Applications (INISTA), 6(2), 108-115. https://doi.org/10.20895/inista.v6i2.1030
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[4] Ade Suhara, “Teknik Budidaya Pembesaran Dan Pemilihan Bibit Ikan Patin (Studi Kasus Di Lahan Luas Desa Mekar Mulya, Kec. Teluk Jambe Barat, Kab. Karawang),” J. Buana Pengabdi., vol. 1, no. 2, pp. 1–8, 2019, doi: 10.36805/jurnalbuanapengabdian.v1i2.1066.
[5] P. Putinur, R. B. S. Salampessy, and A. Poernomo, “Karakterisasi Pelaku Usaha Patin untuk Mendukung Jambi sebagai Sentra Patin Nasional,” Bul. Ilm. Mar. Sos. Ekon. Kelaut. dan Perikan., vol. 7, no. 1, p. 29, 2021, doi: 10.15578/marina.v7i1.8843.
[6] Danilo Gomes de Arruda, “Pembuatan prototipe penentu kesegaran ikan patin Berbasis sensor TCS 230 Making Prototypes for Freshness of Patin Fish Based on TCS 230 Sensor,” vol. 10, no. 01, p. 6, 2021.
[7] M. S. Dr. Atty Tri Juniarti, S.E. and S. E. Darra Gusti Putri, “Faktor-Faktor Dominan yang Mempengaruhi Kinerja,” Angew. Chemie Int. Ed. 6(11), 951–952., pp. 2013–2015, 2021.
[8] S. R. Fauzia and S. H. Suseno, “Resirkulasi Air untuk Optimalisasi Kualitas Air Budidaya Ikan Nila Nirwana (Oreochromis niloticus),” J. Pus. Inov. Masy., vol. 2, no. 5, pp. 887–892, 2020.
[9] H. Pujiharsono and D. Kurnianto, “Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation,” J. Teknol. dan Sist. Komput., vol. 8, no. 2, pp. 84–88, 2020, doi: 10.14710/jtsiskom.8.2.2020.84-88.
[10] R. K. Putra Asmara, “Rancang Bangun Alat Monitoring Dan Penanganan Kualitas Ait Pada Akuarium Ikan Hias Berbasis Internet Of Things (IOT),” J. Tek. Elektro dan Komput. TRIAC, vol. 7, no. 2, pp. 69–74, 2020, doi: 10.21107/triac.v7i2.8148.
[11] E. Mufida, R. S. Anwar, R. A. Khodir, and I. P. Rosmawati, “Perancangan Alat Pengontrol pH Air Untuk Tanaman Hidroponik Berbasis Arduino Uno,” INSANtek, vol. 1, no. 1, pp. 13–19, 2020.
[12] D. Wicaksono, T. L. Bhakti, R. B. Taruno, M. R. S. Subroto, and A. Mustikasari, “A galvanic-based dissolved oxygen level monitoring sensor system in freshwater ponds,” J. Teknol. dan Sist. Komput., vol. 9, no. 2, pp. 83–89, 2021, doi: 10.14710/jtsiskom.2021.13996.
[13] S. Priambodo, A. Andrianto, and D. I. Swasono, “Sistem Kontrol Kualitas Air pada Akuaponik Ikan Nila dan Cabai Rawit Berbasis Embedded System menggunakan Fuzzy Logic,” vol. 7, no. 3, pp. 230–237, 2022.
[14] R. Rusliyawati and A. Wantoro, “Decision support system model using FIS Mamdani for determining tire pressure,” J. Teknol. dan Sist. Komput., vol. 9, no. 1, pp. 56–63, 2021, doi: 10.14710/jtsiskom.2020.13776.
[15] A. Farmadi and D. Kartini, “Iplementasi Fuzzy Pada Monitoring dan Kontrol Kualitas Air Tangki Pembibitan ikan Menggunakan LabView,” vol. 9, no. 2, pp. 76–87, 2021.