Penentuan Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Fuzzy Mamdani

Authors

  • Muhammad Ezar Al Rivan STMIK Global Informatika MDP
  • Jessica Suherman STMIK Global Informatika MDP

DOI:

https://doi.org/10.26418/elkha.v12i2.41164

Keywords:

Papaya, fuzzy, Mamdani, quality

Abstract

Papaya (Carica papaya, L.) is a fruit that has good nutritional content for health so that it has a high selling value and is made a business commodity. One variety of papaya fruit that is currently favored by all people, namely the California papaya fruit. Determination of the quality of California papaya fruit can be measured by size, color, and defect. This study raises the topic of determining the quality of California papaya fruit using fuzzy-Mamdani with input variables in the form of major axis, minor axis, red, green, and defect variables along with the output in the form of the results of determining the quality of California papaya fruit. Based on testing that has been done using 108 fuzzy rules, the validity of the results obtained states that the level of accuracy of the research using defuzzification of the Centroid, Bisector and Means of Maximum methods by 75%, while the level of research accuracy using the defuzzification of Largest of Maximum and Smallest of Maximum methods by 70%

Author Biographies

Muhammad Ezar Al Rivan, STMIK Global Informatika MDP

Program Studi Teknik Informatika, STMIK Global Informatika MDP, Indonesia

Jessica Suherman, STMIK Global Informatika MDP

Program Studi Teknik Informatika, STMIK Global Informatika MDP, Indonesia

References

B. A. Bakar and R. Ratnawati, “Petunjuk Teknis Budidaya Pepaya,†Balai Pengkaj. Teknol. Pertan. Aceh, p. 35, 2017.

S. N. Usmayani, E. Basuki, and I. W. S. Yasa, “PENGGUNAAN KALIUM PERMANGANAT (KMnO 4 ) PADA PENYIMPANAN BUAH PEPAYA CALIFORNIA (Carica papaya L.) [The Use of Potassium Permanganate (KMnO 4 ) On Shelf Life of California’s Papaya (Carica papaya L.)],†J. Ilmu dan Teknol. Pangan), vol. 1, no. 2, pp. 48–55, 2015.

T. Sutojo, E. Mulyanto, and V. Suhartono, Kecerdasan Buatan. Yogyakarta: Andi Offset, 2011.

P. N. Andono and T. Sutojo, Pengolahan citra digital. Penerbit Andi, 2017.

S. A. Syakry, M. Mulyadi, and Z. K. Simbolon, “Buah Menggunakan Fuzzy C-Means ( Fcm ) Clustering,†J. Penelit. Tek. Inform., vol. 7, no. 2, pp. 150–169, 2015, doi: https://doi.org/10.29103/techsi.v7i2.199.

S. S. A. Syakry and M. Mulyadi, “Analisis Tingkat Kandungan Nilai Warna untuk Penentuan Tingkat Kematangan pada Citra Buah Papaya callina,†J. Ilm. Elit. ELEKTRO, vol. 4, pp. 31–37, 2013.

N. Febriany, F. Agustina, and R. Marwati, “Aplikasi Metode Fuzzy Mamdani Dalam Penentuan Status Gizi Dan Menggunakan Software Matlab,†J. EurekaMatika, vol. 5, no. 1, pp. 84–96, 2017.

B. Fechera, J. Kustija, and S. Elvyanti, “Optimasi Penggunaan Membership Function Logika Fuzzy Pada Kasus Identifikasi Kualitas Minyak Transformator.,†ELECTRANS, vol. 204, no. 2, pp. 27–35, 2012.

R. Munarto, E. Permata, and R. Salsabilla, “Klasifikasi Kualitas Biji Jagung Manis Berdasarkan Fitur Warna Menggunakan Fuzzy Logic,†Simp. Nas. RAPI XIII - 2014 FT UMS, pp. 5–12, 2014.

J. Nasir and J. Suprianto, “Analisis Fuzzy Logic Menentukan Pemilihan Motor Honda dengan Metode Mamdani,†J. Edik Inform., vol. 3, no. 2, pp. 177–187, 2017, doi: 10.22202/jei.2017.v3i2.1962.

S. N. Budiman and H. Tjandrasa, “Sistem Pengukuran Mutu Buah Mangga Berdasarkan Kematangan, Ukuran dan Area Bercak Menggunakan Fuzzy Inference System,†Inspir. J. Teknol. Inf. dan Komun., vol. 7, no. 1, pp. 10–20, 2017, doi: 10.35585/inspir.v7i1.2432.

R. Pandey, N. Gamit, and S. Naik, “A novel non-destructive grading method for Mango (Mangifera Indica L.) using fuzzy expert system,†in 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2014, pp. 1087–1094, doi: 10.1109/ICACCI.2014.6968366.

A. Wirawan and A. Azhari, “Implementasi Metode Fuzzy-Mamdani untuk Menentukan Jenis Ikan Konsumsi Air Tawar Berdasarkan Karakteristik Lahan Budidaya Perikanan,†Bimipa, vol. 24, no. 1, pp. 29–38, 2014.

F. Y. Mulato, “KLASIFIKASI KEMATANGAN BUAH JAMBU BIJI MERAH ( Psidium Guajava ) DENGAN MENGGUNAKAN MODEL FUZZY,†Universitas Negeri Yogyakarta, 2015.

H. Jiawei, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques. Morgan Kaufmann, 2011.

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Published

2020-10-11

Issue

Vol. 12 No. 2 October 2020

Section

Vol.12 No. 2 October 2020

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