Implementasi Algoritma Hue Saturation Value (HSV) Pada Penentuan Kualitas Beras Berbasis Android
Keywords:
Rice, Image Processing, Quality, Hue Saturation Value (HSV), Android, rice, image processing, quality hue saturation value (HSV), androidAbstract
Rice is the staple food of most Indonesian people. Rice contributes more than 22% of global energy intake. Indonesia, especially South Sulawesi is a major rice producer where rice production is around 92% of total world production 1.2 For nations in Asia. This research aims to implement the Hue Saturation Value (HSV) algorithm for extracting color features in Android-based rice quality determination. In this research there were 600 images of rice which were divided into 80% training data and 20% testing data. Training samples are used for color feature extraction by applying Red, Green and Blue (RGB) features to the Hue Saturation Value (HSV) method. Next, image identification is carried out to determine the quality of the rice using color features. From the test results using the confusion matrix at a value of K=7, precision was 82%, recall was 90%, F-1 score was 86%, and accuracy was 85%
References
Abdullah, K., Riadi, A. A., & Evanita, E. (2021). Klasifikasi Kelayakan Beras Menggunakan Metode Laplacian of Gaussian. Jurasik (Jurnal Riset Sistem …, 6, 312–320.
Azizah, M., Sutamihardja, R., & Wijaya, N. (2019). Clustering Kualitas Beras Berdasarkan Ciri Fisik Menggunakan Metode K-Means. Universitas Brawijaya …. https://www.academia.edu/download/46692771/clustering-kualitas-beras-dengan-k-means.pdf. Jurnal Sains Natural, 9(1), 37. https://doi.org/10.31938/jsn.v9i1.173
Hardi, N., & Gata, W. (2020). Identifikasi File JPEG dengan Metode Signature-Based Carving dalam Model Automata JPEG File Identification using Signature-Based Carving Method in the Automata Model. 9(28). https://doi.org/10.34010/komputika.v9i1.2733
Ilmiah, J., Komputa, I., Volume, E., Issn, A., & Juansyah, A. (2015). Pembangunan Aplikasi Child Tracker Berbasis Assisted – Global Positioning System ( A-Gps ) Dengan Platform Android Jurnal Ilmiah Komputer dan Informatika ( KOMPUTA ).
Informasi, A. S., & Android, R. B. (2018). Aplikasi sistem informasi pemesanan koki dan masakan rumahan berbasis android.
Kusumanto, R. D., & Tompunu, A. N. (2011). Pengolahan Citra Digital Untuk Mendeteksi Obyek Menggunakan Pengolahan Warna Model Normalisasi Rgb. 2011(Semantik).
Liantoni, F. (2016). Klasifikasi Daun Dengan Perbaikan Fitur Citra Menggunakan Metode K-Nearest Neighbor. Jurnal ULTIMATICS, 7(2), 98–104. https://doi.org/10.31937/ti.v7i2.356
Matius, T., Mulyana, S., Studi, P., Informatika, T., Bunda, U., Jakarta, M., & Watermarking, V. (2013). Penggunaan nilai skala keabuan dari citra watermark. 2013(semnasIF), 23–30.
Mustari, D. (2016). Perancangan Sistem Informasi Pembelajaran dengan Metode Unified Modeling Language (UML) di TamanKanak-Kanak PGRI Pataruman Banjar. Orbith, Vol. 12(2)(2), 86–91. Neighbors,
M. K., Wijaya, N., & Ridwan, A. (2019). Klasifikasi Jenis Buah Apel Dengan. 08, 74–78.
Nomor, V., Nanda, R., & Rahayu, S. (2020) Analisis Perubahan Kerapatan Vegetasi dan Bangunan di Kota Banda Aceh Pasca Bencana Tsunami Analysis of Vegetation and Building Density Changes in the Banda Aceh City Post-Tsunami Disaster. 6(1), 28–37.
Nuswantoro, U. D. (2020). Identifikasi Citra Daging Ayam Kampung dan Broiler Menggunakan Metode GLCM dan Klasifikasi K-NN. XVI(1).
Wicaksono, B. D., & Batam, S. L. R. (2017). Determinasi Komunikasi, Motivasi Dan Lingkungan Kerja Terhadap Kinerja Karyawan Di Perusahaan Umum (Perum) Perum Perum Bulog Sub-Divre Kota Batam. Bening, 4(1).
Y?ld?r?m, S. (2018). Analisis Citra Digital Untuk Klasifikasi Kualitas Beras. 7(21), 1–9
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