KLASIFIKASI TINGKAT ROASTING PADA BIJI KOPI DENGAN PENGOLAHAN CITRA DIGITAL MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER (NBC)

Wicaksono, Bambang Teguh (2022) KLASIFIKASI TINGKAT ROASTING PADA BIJI KOPI DENGAN PENGOLAHAN CITRA DIGITAL MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER (NBC). Skripsi thesis, UNIVERSITAS BHAYANGKARA SURABAYA.

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Abstract

Coffee is the bean of the coffee plant and is the source of coffee drinks.Coffee beans must pass through the coffee roasting stage or also called coffee roasting from this stage of the process the coffee will be roasted and this process also has its own level, at this stage of the roasting process coffee shop business people often do not know this process, then in this case used LBP (Local Binary Pattern) method, LBP is a simple and very efficient texture operator by labeling pixels by doing thresholding on Each pixel neighbors and considers the result as a binary number, this method is used to obtain the texture ektrasi of an image.And as a classifier method using the NBC (Naive Bayes Classifier) method, Naive Bayes is a simple probabilistic classifier that calculates a set of probabilities by summing the frequencies and combinations of values from a given dataset.The algorithm uses Bayes' theorem and assumes all the independent or non-interdependent attributes given by the values on the class variables.From the test results by comparing training data and testing data obtained an accuracy rate of 91%.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Coffee beans, coffee bean roasting, Local Binary Pattern, Naive Bayes Classifier, classification system.
Divisions:	Faculty of Engineering > Bachelor of Informations Technology
Depositing User:	Perpus Ubhara Surabaya
Date Deposited:	15 Feb 2023 04:14
Last Modified:	15 Feb 2023 05:07
URI:	http://eprints.ubhara.ac.id/id/eprint/1737

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