Sistem Pendukung Keputusan Identifikasi Kualitas Air Kolam Ikan Cupang Menggunakan Metode Fuzzy Tsukamoto

Amelia, Dyta Shofia (2022) Sistem Pendukung Keputusan Identifikasi Kualitas Air Kolam Ikan Cupang Menggunakan Metode Fuzzy Tsukamoto. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

Betta Fish is one of the freshwater ornamental fish commodities that are very popular with the public because of the beauty of color and fins. In addition to being used as a hobby and business facility, many use it in both National and International contests, there is a union of Betta lovers and breeders around the world called the International Betta Contest (IBC). Betta Fish is one of the commodities that have fairly high economic value. Based on data on Fish Quarantine Quality Control (KIPM), Betta Fish shipments for the domestic market in 2020 reached 48,943 tails and the international market reached 14,225 tails. To get good quality fish, of course you need to pay attention to water quality. There are chemical factors that are used as pond water quality parameters such as temperature, pH, and hardness. In this study, to solve the problem, researchers made a system that can help cultivators to identify water quality of betta ponds using the fuzzy tsukamoto method. The reason for using the fuzzy tsukamoto method, because more accurate results are obtained based on conflicting values. Based on the test results, the researchers got the system accuracy value of 87.5%.

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