ScientiCO : Computer Science and Informatics Journal
Vol 3, No 2 (2020): Scientico : November

IDENTIFIKASI JENIS BIJI KOPI MENGGUNAKAN EKSTRAKSI FITUR TEKSTUR BERBASIS CONTENT BASED IMAGE RETRIEVAL

Prastyaningsih, Yunita (Unknown)
Noor, Agustian (Unknown)
Supriyanto, Arif (Unknown)



Article Info

Publish Date
30 Nov 2020

Abstract

Every type of coffee have a different shape, texture, calor based on roasting system used and the taste is quite significant. It makes coffee beans have different price. However, not all of coffee shop owners and coffee farmer can identify the type of coffee beans by only looking these coffee beans. So, it can lead something wrong to identify the type of coffee beans If the coffee shop owners don't have enough knowlegde about  coffee beans. Identifying the type of coffee with the naked eye is difficult to distinguish so that special expertise is needed, one of the methods can be used to identify the type of coffee is digital image processing such as CBIR (content based image retrieval) which aims to identify the characteristic or feature of the object, this method used to do feature identification process, one of them is the texture feature that are owned by severay types of coffee. Extraction of texture feature is used by using GLCM ( gray level co-occurrence matrix), the dataset used is an image of coffee beans taken from 3 types, namely, robusta coffee beans, Arabica coffee beans and liberica coffee beans. The amount dataset used is 165 images. The CBIR system is able to identify the types of coffee beans by precision value 55.20%.

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Journal Info

Abbrev

scientico

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering

Description

Scientico was formed in 2018 as online journal publication under the auspices of the Untad engineering faculty. ScientiCO accepts original manuscripts in the field of Computer Science and Informatics, including research reports, review articles, and short communication articles. The spread of ...