DESAIN MODEL FUZZY-TSUKAMOTO UNTUK PENENTUAN KUALITAS BUAH PEPAYA CALIFORNIA (CARICA PAPAYA L.) BERDASARKAN BENTUK FISIK

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Muhammad Ezar Al Rivan Angella Octavia Irvan Wijaya

Abstract

Papaya easily found in the local market with a relatively cheap price, adequate nutrient and vitamin content. The quality of California papaya can be measured by size, color and defect. This research discusses the topic of fuzzy model design regarding the measured of the quality of papaya using fuzzy tsukamoto with input variables major axis, minor axis, red and green intensity color, and defect variables along with the output as a result of determining the quality of California papaya. Based on the tests that have been carried out, the results of the quality is 75%.

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AL RIVAN, Muhammad Ezar; OCTAVIA, Angella; WIJAYA, Irvan. DESAIN MODEL FUZZY-TSUKAMOTO UNTUK PENENTUAN KUALITAS BUAH PEPAYA CALIFORNIA (CARICA PAPAYA L.) BERDASARKAN BENTUK FISIK. Jurnal SAINTEKOM, [S.l.], v. 11, n. 1, p. 11-21, feb. 2021. ISSN 2503-3247. Available at: <https://stmikplk.ac.id/jurnal/index.php/saintekom/article/view/155>. Date accessed: 21 apr. 2021. doi: https://doi.org/10.33020/saintekom.v11i1.155.
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References

Al Rivan, M. E. and Suherman, J. (2020) ‘Penentuan Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Fuzzy Mamdani’, Elkha, 12(2), p. 76. doi: 10.26418/elkha.v12i2.41164.

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

Bakar, B. A. and Ratnawati, R. (2017) ‘Petunjuk Teknis Budidaya Pepaya’, Balai Pengkajian Teknologi Pertanian Aceh, p. 35.

Bon, A. T. and Utami, S. F. (2016) ‘Applying fuzzy inference system tsukamoto for decision making in crude palm oil production planning’, Proceedings of the International Conference on Industrial Engineering and Operations Management, 8-10 March, pp. 2206–2210.

Mazenda, G., Andy Soebroto, A. and Dewi, C. (2014) ‘Implementasi Fuzzy Inference System (Fis) Metode Tsukamoto Pada Sistem Pendukung Keputusan Penentuan Kualitas Air Sungai’, Journal of Enviromental Engineering and Sustainable Technology, 1(2), pp. 92–103. doi: 10.21776/ub.jeest.2014.001.02.4.

Murdianingsih, Y. and Utomo, L. T. (2016) ‘SISTEM PENENTUAN KUALITAS SINGKONG UNTUK BAHAN BAKU KERIPIK DENGAN METODE FUZZY TSUKAMOTO ( Studi Kasus Kampung Kaliwadas )’, Jurnal Teknologi Informasi dan Komunikasi, pp. 2252–4517.

Pandey, R., Gamit, N. and Naik, S. (2014) ‘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), pp. 1087–1094. doi: 10.1109/ICACCI.2014.6968366.

Prahara, H. W. and Sela, E. I. (2016) ‘Tingkat Kematangan Buah Pepaya Dengan Jaringan Syaraf Lvq’, Seminar Riset Teknologi Informasi (SRITI) tahun, pp. 388–391.

Sari, N. R. and Mahmudy, W. F. (2015) ‘Fuzzy Inference System Tsukamoto Untuk Menentukan Kelayakan Calon Pegawai’, Seminar Nasional Sistem Informasi Indonesia (SESINDO), (November), pp. 245–252.

Sugiyanto, S. and Wibowo, F. (2015) ‘Klasifikasi Tingkat Kematangan Buah Pepaya ( Carica Papaya L ) California ( Callina-Ipb 9 ) Dalam Ruang Warna Hsv’, prosiding SENATEK, 1(November), pp. 335–341.

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

Syakry, S. A., Mulyadi, M. and Simbolon, Z. K. (2015) ‘Buah Menggunakan Fuzzy C-Means ( Fcm ) Clustering’, Jurnal Penelitian Teknik Informatika, 7(2), pp. 150–169. doi: https://doi.org/10.29103/techsi.v7i2.199.

Syakry, S. S. A. and Mulyadi, M. (2013) ‘Analisis Tingkat Kandungan Nilai Warna untuk Penentuan Tingkat Kematangan pada Citra Buah Papaya callina’, JURNAL ILMIAH ELITE ELEKTRO, 4, pp. 31–37.

Usmayani, S. N., Basuki, E. and Yasa, I. W. S. (2015) ‘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.)]’, Jurnal Ilmu dan Teknologi Pangan), 1(2), pp. 48–55.