Indonesian Journal of Applied Informatics
Vol 5, No 1 (2020)

Pengolahan Citra untuk Membedakan Ikan Segar dan Tidak Segar Menggunakan Convolutional Neural Network

Arif Agustyawan (Institut Teknologi Telkom Purwokerto)



Article Info

Publish Date
30 Nov 2020

Abstract

Abstrak: Proses penyortiran ikan yang dilakukan oleh nelayan atau penjual, untuk menyeleksi ikan berdasar kualitasnya masih menggunakan metode manual dan terkadang meleset karena faktor keterbatasan indra penglihatan ketika lelah. Selama ini pemeriksaan hanya dillihat secara fisik. Akibatnya, saat akan dikonsumsi ikan tersebut kerap kali sudah rusak. Penelitian ini mencoba menerapkan algoritma Convolutional Neural Network (CNN) untuk membedakan ikan segar dan tidak segar. Convolutional Neural Network merupakan salah satu metode deep learning yang mampu melakukan proses pembelajaran mandiri untuk pengenalan objek, ekstraksi objek, dan klasifikasi objek. Pada penelitian ini, diterapkan algoritma Convolutional Neural Network untuk membedakan ikan segar dan tidak segar. Proses learning jaringan menghasilkan akurasi 100% terhadap data training dan data validation. Pengujian terhadap data testing juga menghasilkan akurasi 100%. Hasil penelitian ini menunjukan bahwa penggunaan metode Convolutional Neural Network mampu mengidentifikasi dan mengklasifikasikan ikan segar dan tidak segar dengan sangat baik.___________________________Abstract:The fish sorting process carried out by fishermen or sellers, to select fish based on quality is still using manual methods and sometimes misses due to the limited sense of sight when tired. So far the examination has only been seen physically. As a result, the fish will often be damaged when consumed. This study tries to apply the Convolutional Neural Network (CNN) algorithm to distinguish between fresh and non-fresh fish. Convolutional Neural Network is a method of deep learning that is capable of conducting independent learning processes for object recognition, object extraction, and object classification. In this study, the Convolutional Neural Network algorithm is applied to distinguish between fresh and non-fresh fish. Network learning process produces 100% accuracy of training data and data validation. Testing of testing data also results in 100% accuracy. The results of this study indicate that the use of the Convolutional Neural Network method can identify and classify fresh and non-fresh fish very well.

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Journal Info

Abbrev

ijai

Publisher

Subject

Computer Science & IT

Description

Indonesian Journal of Applied Informatics publishes articles that are of significance in their respective fields whilst also contributing to the discipline of informatics as a whole and its application. Every incoming manuscript will first be examined by the Editorial Board in accordance with ...