Prototype of Melon Fruit Quality Sorter Based on Skin Texture Using Local Binary Pattern Histogram
Abstract
Cucumis Melo L is one of the popular fruits in Indonesia. The numerous benefits and various contents of melon make it highly valuable for human health. Determining the quality of melon is crucial, considering its numerous benefits and contents. The quality of melon is determined by the presence of net-like patterns on the surface of the fruit's skin when it is ripe for harvest. Currently, conventional methods that rely on direct visual observation are still commonly used to sort the quality of melons. Therefore, a prototype system was developed to sort the quality of melons based on the texture of their skin. The purpose of this system is to reduce errors caused by eye fatigue and variations in accuracy during the sorting process. In this research, the feature extraction method of the local binary pattern (LBP) was employed, along with the K-Nearest Neighbor (KNN) method for classification. The classification was divided into two grades: Grade A and Grade B melons. The testing phase involved 200 data samples, with each grade consisting of 100 data samples. The results of the testing phase showed a success rate of 96% for the system. Based on the percentage, it can be concluded that the system has successfully performed well in sorting the quality of melons based on the texture of their skin.
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References
[2] A. Prayoga, H. A. Tawakal, and R. Aldiansyah, “Pengembangan Metode Deteksi Tingkat Kematangan Buah Melon Berdasarkan Tekstur Kulit Buah Dengan Menggunakan Metode Ekstraksi Ciri Statistik dan Support Vector Machine (SVM),” Jurnal Teknologi Terpadu, vol. 4, no. 1, Art. no. 1, Jul. 2018, doi: 10.54914/jtt.v4i1.112.
[3] R. A. Firmansyah and E. Alfianto, “Pembuatan Haar-Cascade dan Local Binary Pattern Sebagai Sistem Pendeteksi Halangan Pada Automatic Guided Vehicle,” Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, vol. 9, no. 2, pp. 1073–1082, Nov. 2018, doi: 10.24176/simet.v9i2.2562.
[4] R. A. Firmansyah, D. Purwanto, and R. Mardiyanto, “Pendeteksi Docking Station Menggunakan Rotation Invariant Local Binary Pattern Pada Visual Based Service Robot,” Semnasteknomedia Online, vol. 3, no. 1, Art. no. 1, Feb. 2015.
[5] Z. Zakaria, R. A. Firmansyah, and Y. A. Prabowo, “Rancang Bangun Flex Sensor Gloves untuk Penerjemah Bahasa Isyarat Menggunakan K-Nearest Neighbors,” Prosiding Seminar Nasional Sains dan Teknologi Terapan, vol. 1, no. 1, Art. no. 1, Sep. 2019.
[6] R. D. Anas, “Identifikasi Nomor Plat Kendaraan Menggunakan Metode Wavelet HAAR,” skripsi, Universitas Islam Negeri Sultan Syarif Kasim Riau, 2016. Accessed: Jun. 21, 2022. [Online]. Available: http://repository.uin-suska.ac.id/3067.
[7] D. Huang, C. Shan, M. Ardabilian, Y. Wang, and L. Chen, “Local Binary Patterns and Its Application to Facial Image Analysis: A Survey,” IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 41, no. 6, pp. 765–781, Nov. 2011, doi: 10.1109/TSMCC.2011.2118750.
[8] “Handbook of Pattern Recognition and Computer Vision,” Guide books. https://dl.acm.org/doi/abs/10.5555/1051814 (accessed Jun. 21, 2022).
[9] S. N. R, P. Harsani, and A. Qur’ania, “Penerapan K-Nearest Neighbor (KNN) untuk Klasifikasi Anggrek Berdasarkan Karakter Morfologi Daun dan Bunga,” KOMPUTASI, vol. 15, no. 1, Art. no. 1, Jan. 2018, doi: 10.33751/komputasi.v15i1.1267.
[10] K. Yahya and W. P. Hidayanti, “Penerapan Algoritma K-Nearest Neighbor Untuk Klasifikasi Efektivitas Penjualan Vape (Rokok Elektrik) pada “Lombok Vape Onâ€,” Infotek : Jurnal Informatika dan Teknologi, vol. 3, no. 2, pp. 104–114, Jul. 2020, doi: 10.29408/jit.v3i2.2279.
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