Jurnal Ilmu Komputer dan Agri-Informatika
Vol 9 No 1 (2022)

Prediksi Kandungan Lignin pada Dedak Padi Bercampur Sekam Menggunakan Tekstur Statistik dan KNN

Eylen Desy Novita (Unknown)
Aziz Kustiyo (Unknown)
Anuraga Jayanegara (Institut Pertanian Bogor)
Toto Haryanto (Unknown)
Hari Agung Adrianto (Unknown)



Article Info

Publish Date
31 May 2022

Abstract

Adulteration in rice bran happens quite high due to the expensive price of rice bran. Mixing the rice bran with husk could decrease the rice bran quality because the content of crude fiber and lignin cointained in husk are anti-nutrients. Lignin content can be estimated by the texture of rice bran mixed with husk image. This study aimed to analyze the texture of rice bran mixed with husk image using run length feature extraction method with k-nearest neighbour (KNN) classification. The images of rice bran mixed with husk were taken using Dino Capture digital microscope with magnification 200 times. The images were generated with the spatial resolution of 640×480 pixels in a bitmap format. Those images were converted from RGB into grayscale in preprocessing phase, then the result of grayscale images were enhanced using histogram equalization as image enhancement method. The training and testing was determined using 5-fold cross validation with 3 repetition. The result of KNN classification with 7 features showed the highest accuracy of 74.55%.

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Journal Info

Abbrev

jika

Publisher

Subject

Agriculture, Biological Sciences & Forestry Computer Science & IT

Description

Jurnal Ilmu Komputer dan Agri-Informatika (JIKA) diterbitkan setiap bulan Mei dan November, memuat tulisan ilmiah yang berhubungan dengan bidang Ilmu Komputer serta aplikasi informatika untuk pengembangan pertanian. Berkala ilmiah ini menerima tulisan hasil penelitian dari luar ...