SISTEM PEMILAH SAMPAH ORGANIK BERBASIS PENGOLAHAN CITRA DIGITAL

M.IRFANSYAH, M. IRFANSYAH and Aditya Putra, Perdana Prasetyo and Kemahyanto, Exaudi (2021) SISTEM PEMILAH SAMPAH ORGANIK BERBASIS PENGOLAHAN CITRA DIGITAL. Undergraduate thesis, Sriwijaya University.

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Abstract

This project goals to check and adjust the Raspberry Pi 3 Model B+, check and adjust the Raspberry Pi Camera Rev 1.3 camera and test classification using Convolutional Neural Network or CNN to find out the prediction results according to the displayed image. The research method in this project uses the Forward Engineering method. This method divides into stages into several parts starting from literature study to project testing and project data analysis. Raspberry Pi 3 Model B+ and Raspberry Pi Camera Rev 1.3 which have been used to carry out the process of taking pictures on objects to be classified. After testing the test results with the correct prediction range is 66% or 33 images and 34% or 17 images with wrong predictions.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Raspberry Pi 3 Model B+, Raspberry Pi Camera Rev 1.3, Convolutional Neural Network atau CNN, Classification
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK1 Electrical engineering--Periodicals. Automatic control--Periodicals. Computer science--Periodicals. Information technology--Periodicals. Automatic control. Computer science. Electrical engineering. Information technology.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions: 09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User: M. Irfansyah
Date Deposited: 22 Sep 2021 07:22
Last Modified: 22 Sep 2021 07:22
URI: http://repository.unsri.ac.id/id/eprint/54572

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