Identifikasi Jenis Buah “Pyrus” (Pir) Menggunakan Algoritma Adaptive Neuro Fuzzy Inference System (ANFIS)

Identifikasi Jenis Buah “Pyrus” (Pir) Menggunakan Algoritma Adaptive Neuro Fuzzy Inference System (ANFIS)

• By Hasanah, Riyan Latifahul;
• Jurnal Nasional Terakreditasi
• 384
• 120-128

One fruit that is quite popular in Indonesia is the pear or Pyrus. The method that determines the type of pear which is done manually based on its shape and color, will affect inaccurate results because it still involves the individual's perception. Digital image processing is applied to overcome the above problem. This research was conducted to complement the types of pears consisting of two types, namely Monster Pears and William Pears. Pre-processing is done by changing the RGB image into L*a*b, then segmentation using the K-Means Clustering algorithm. Segmented image is extracted into seven features, namely six color features (RGB and HSV) and one size feature (Area). Then the classification is done by applying the Adaptive Neuro Fuzzy Inference System (ANFIS) algorithm. The results showed high accuracy in the types of pears.

• Katakunci Adaptive Neuro Fuzzy Inference System; ANFIS; Pears; Image Processing
• URL https://ejournal.bsi.ac.id/ejurnal/index.php/evolusi/article/view/10318
• Penerbit Journal of Physics: Conference Series (IOP Science),

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