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CLASSIFICATION OF ROASTING RATES IN COFFEE BEANS BY DIGITAL IMAGE PROCESSING USING THE NAIVE BAYES CLASSIFIER (NBC) METHOD Hidayat, M. Mahaputra; Prasetyo, Eko; Wicaksono, Bambang Teguh
Jurnal IPTEK Vol 27, No 1 (2023)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2023.v27i1.3697

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 Local Binary Pattern (LBP) 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. While for the classification method using the Naive Bayes Classifier (NBC) 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 81%. For an image-based developed system with display recognition difficulties, this performance is good.
Perancangan Sistem Presensi Online Berbasis Granted Validitas Data Hidayat, M. Mahaputra; Budi Utomo, Bintang Prasetyo; Zacharia, Muhammad Ivan; Mubarrok, Achmad Alfan
INTECH Vol 4 No 1 (2023): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

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Abstract

The manual attendance system used by the company suffers from inaccuracies and fraud. Therefore, this study aims to overcome this problem by designing and implementing an online presence system based on granted data validity. Information system development methods are used to design online presence systems that use blockchain technology to ensure data validity and reduce the risk of fraud. In conclusion, an online presence system based on granted data validity can be an effective and efficient alternative solution for institutions that still use a manual attendance system.