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Gilang Prakoso
Republic of Indonesia Defense University
Education

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Advanced Detection System Milkfish Formalin Android-Based Method Based on Image Eye Using Naive Bayes Classifier Fadhil Muhammad Hadini; Bambang Suhardjo; Budi Rahardjo; Tangang Qisthina Handayani Zatadini; Gilang Prakoso; H.A. Danang Rimbawa; I Made Wiryana; Yosef Prihanto; Ruby Alamsyah
Journal on Education Vol 6 No 2 (2024): Journal on Education: Volume 6 Nomor 2 Tahun 2024
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v6i2.4862

Abstract

In this paper researcher is trying to make an android-based application that can identify fish with formalin with previous version with adding some more data training. The method used in researcher methods naïve Bayes classifier as a detector (detector) with the object input in the form of fish eye image. The steps in the study include the training and testing process. In the training process used to build the model naïve classifier and estimation parameters. While testing process, implement the results of the model and parameter estimation have been built to detect fish formalin or not formalin. The trial results demonstrate the ability-based applications using the naïve Bayes 98.3% for object dimensions 10x10 image
Co-Authors Bambang Suhardjo Budi Rahardjo Fadhil Muhammad Hadini H. A. Danang Rimbawa I Made Wiryana Ruby Alamsyah Tangang Qisthina Handayani Zatadini Yosef Prihanto