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description Journal article public Penelitian Ilmu Komputer Sistem Embedded dan Logic

Identifikasi Beras Berdasarkan Warna Menggunakan Adaptive Neuro Fuzzy Inference System

Muhammad Gilang Alfianto, Retno Nugroho Whidhiasih, Maimunah Maimunah
Published Вересень 2017

Abstract

  Rice is the main food ingredient for Indonesian people. Through the National Standardization Agency, The Government has established a general requirement of rice, that is good quality rice which has a white color of whitewashed and low-quality rice which has a yellowish color (SNI 6128: 2015). To determine the different color of good quality rice and the low-quality one it often happens of wrong identification caused by different perception on the color. This problem can be solved by creating the system to identify good quality rice of IR64 and the low-quality one. The data used are primary data, in the form of good quality rice with grain image of 50 and the low-quality one is 50. The observation data used for trial is La * b * and Sa * b * using Adaptive Neuro-Fuzzy Inference Systems ( ANFIS). The observation variable Sa * b * produce higher identification compared to La*b*, with accuracy value is  90%.   Keyword : rice, quality,color,classification  

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