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Diasta Risi Esa Annisa
Department of Mathematics, Jenderal Soedirman University
Mathematics

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APLIKASI SISTEM INFERENSI FUZZY METODE TSUKAMOTO DALAM PENILAIAN MUTU BENIH PADI Diasta Risi Esa Annisa; Mutia Nur Estri
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 7 No 1 (2015): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2015.7.1.2896

Abstract

In this paper, we use the Fuzzy inference system of Tsukamoto method to determine the rice seeds quality. The input variables are production average, the age of plant, and fallen seeds, and the output variable is rice seed quality. The output is determined through 4 steps i.e. fuzzification, determine fuzzy rules, and defuzzification. The results show that the best quality of rice seed is IR 64 and the worst is Lusi.
APLIKASI SISTEM INFERENSI FUZZY METODE TSUKAMOTO DALAM PENILAIAN MUTU BENIH PADI Diasta Risi Esa Annisa; Mutia Nur Estri
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 7 No 1 (2015): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2015.7.1.2896

Abstract

In this paper, we use the Fuzzy inference system of Tsukamoto method to determine the rice seeds quality. The input variables are production average, the age of plant, and fallen seeds, and the output variable is rice seed quality. The output is determined through 4 steps i.e. fuzzification, determine fuzzy rules, and defuzzification. The results show that the best quality of rice seed is IR 64 and the worst is Lusi.
Co-Authors Mutia Nur Estri