APPLICATION FUZZY MAMDANI TO DETERMINE THE RIPENESS LEVEL OF CRYSTAL GUAVA FRUIT

  • Ahmad Kamsyakawuni Department of Mathematics, Faculty of Mathematics and Natural Science, Jember University
  • Abduh Riski Department of Mathematics, Faculty of Mathematics and Natural Science, Jember University
  • Anisa Binti Khumairoh Department of Mathematics, Faculty of Mathematics and Natural Science, Jember University
Keywords: Crystal Guava Fruit, Fuzzy Mamdani, RGB Image, Ripeness Level

Abstract

Crystal guava is one of Indonesia's flora diversity. The rind of the unripe crystal guava fruit is green, and the rind of the ripe crystal guava fruit is yellowish green. However, it is difficult to determine the ripeness of crystal guava due to the similar color of the fruit skin. Determining fruit ripeness is uncertain and therefore requires a way to deal with this uncertainty. One of the methods you can use is fuzzy Mamdani. In this study, the ripeness level of crystal guava is determined using fuzzy Mamdani. Crystal guava fruits fall into four ripeness categories: raw, half ripe, ripe, and very ripe. The data used is in the form of an RGB image separated from the background so that only crystal guava fruit objects are captured. The image of the fruit object was then extracted by looking for the median red, green, and blue at each pixel of the image. This value is used as input for the fuzzy Mamdani process. The fuzzy set and fuzzy rules that have been formed can be applied to determine the maturity level of crystal guava fruit by validating the results of 140 image data with an accuracy of 83,5%.

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References

D. Kurniawan, "Mengenal Jambu Kristal," Hortikutura, 16 Juni 2015. [Online]. Available: http://hortikultura.pertanian.go.id/?p=354. [Accessed 5 Oktober 2021].

S. Duryatmo, R. N. Apriyanti, S. Angkasa, A. A. Raharjo, K. Rizkika, D. S. Rahimah, A. Titisari, B. Setyawan, R. Vebriansyah, R. Fadhilah and K. R. Susilo, Jambu Kristal, Jakarta: Trubus, 2014.

D. Rustani and S. Susanto, "Kualitas fisik dan kimia buah jambu keistal pada letak cabang yang berbeda," Bul. Agrohorti, vol. 7, no. 2, pp. 123-129, 2021.

A. Wibowo, D. M. C. Hermanto, K. I. Lestari and Hadion, "Deteksi kematangan buah jambu kristal berdasarkan fiur warna menggunakan transformasi ruang warna HSV (Hue Saturation Value) dan K-Nearest Neighbour," Journal of Informatic and Computer Science Engineering, vol. 1, pp. 76-88, 2021.

A. Apriyantono, "Deskripsi jambu varietas kristal," Varitas , 13 September 2007. [Online]. Available: http://varitas.net/dbvarietas/deskripsi/3136.pdf. [Accessed 5 Oktober 2021].

S. Aly and I. Vrana, "Fuzzy expert marketing-mix model," AGRIC, vol. 51, no. 2, pp. 69-79, 2005.

E. F. Andriani, "Prediksi keuntungan PT. Ciesta Mandiri Sejahtera menggunakan Fuzzy Inference System Tsukamoto dan Fuzzy Inference System Mamdani," in Fakultas Matematika dan Ilmu Pengetahuan Alam, Univeristas Jember, Jember, 2015.

F. Y. Mulato, "Klasifikasi kematangan buah jambu biji merah (Psidium Guajava) dengan menggunakan model fuzzy," in Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Negeri Yogyakarta, Yogyakarta, 2014.

A. Lustini, Saparudin and A. Primanita, "Klasifikasi tingkat kematangan buah nanas menggunakan ruang warna Red-Green-Blue dan Hue-Saturation-Intensity," Jurnal Digital Teknologi Informasi, vol. 2, no. 1, pp. 1-8, 2019.

N. N. Muthiati, Herlinawati, S. R. Sulistiyanti and S. Purwiyanti, "Deteksi tingkat kematangan buah tomat dengan metode fuzzy logic menggunakan modul kamera raspberry PI," Jurnal Rekayasa dan Teknologi Elektro, vol. 13, no. 2, pp. 38-42, 2019.

M. Arief, "Klasifikasi kematangan buah jeruk berdasarkan fitur warna menggunakan metode SVM," Jurnal Ilmu Komputerdan Desain Informasi Visual, vol. 4, no. 1, pp. 9-16, 2019.

R. Pratama, A. F. Assagaf and F. Tempola, "deteksi kematangan buah tomat berdasarkan fitur warna menggunakan metode transformasi ruang warna HIS," Jurnal Informatika dan Komputer (JIKO), vol. 2, no. 2, pp. 81-86, 2019.

A. Pamungkas, "Pengolahan citra digital," Pemrogamanmatlalb, 26 Juli 2017. [Online]. Available: https://pemrogramanmatlab.com/2017/07/26/pengolahan-citra-digital/. [Accessed 23 Mei 2021].

S. Kusumadewi and H. Purnomo, Aplikasi Logika Fuzzy untuk Pendukung Keputusan, Yogyakarta: Graha Ilmu, 2010.

B. Setiawan, B. Yanto and K. Yasdomi, Logika Fuzzy dengan MATLAB, Bali: Jayapangus Press, 2018.

L. N. Sari, "Penerapan lofika fuzzy Mamdani dan manual kapasitas jalan Indonesia pada pengaturan lampu lalu lintas," in Fakultas Matematika dan Ilmu Pengetahuan Alam, Univeristas Jember, Jember, 2013.

Published
2022-09-01
How to Cite
[1]
A. Kamsyakawuni, A. Riski, and A. Khumairoh, “APPLICATION FUZZY MAMDANI TO DETERMINE THE RIPENESS LEVEL OF CRYSTAL GUAVA FRUIT”, BAREKENG: J. Math. & App., vol. 16, no. 3, pp. 1087-1096, Sep. 2022.