Penerapan Algoritma Convolutional Neural Network Pada Klasifikasi Citra Jenis Sampah
Total View This Week0
Total View This Week0
Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Ristanto, Diva Ramadha
Rusjdi, Darma
Purwanto, Yudhi.S.
Rusjdi, Darma
Purwanto, Yudhi.S.
Subject
Teknik Informatika
Datestamp
2022-09-26 06:17:30
Abstract :
One of the biggest serious problem that has happened in Indonesia is always about a trash problem. The current condition of trash in Indonesia are getting bigger every time every year the amount and the variety of trash always been increasing along with the population of the society itself. Recycling is one of the effective ways to reduce the amount of the trash. We really have to concern some of the ways that we need to do. The first step is we have to collect the amount of trash then we can separate the variety with the trash itself include the include the materials of the trash itself. Phone camera is one of the challenging method and also easy to use for the user. With phone camera we can classify the trash automatically. In this research its use the algorithm from CNN (convolutional Neural Network) that has a really good performance and have a good level of the accuracy. The process of modeling itself is done with a hard tensorflow which then this model will be converted to the tensorflow model lite for the android application. The result of this research showed that the result train object tensorflow is 0,8396 meanwhile the validation is 0,9062. The prediction based on the phone model get 86,6% level of accuracy, in tensorflow 83,3%. And with the phone testing is obtained the level of accuracy 80,0%. From that result, it can be develop and can be used in trash separator automatically.
One of the biggest serious problem that has happened in Indonesia is always about a trash problem. The current condition of trash in Indonesia are getting bigger every time every year the amount and the variety of trash always been increasing along with the population of the society itself. Recycling is one of the effective ways to reduce the amount of the trash. We really have to concern some of the ways that we need to do. The first step is we have to collect the amount of trash then we can separate the variety with the trash itself include the include the materials of the trash itself. Phone camera is one of the challenging method and also easy to use for the user. With phone camera we can classify the trash automatically. In this research its use the algorithm from CNN (convolutional Neural Network) that has a really good performance and have a good level of the accuracy. The process of modeling itself is done with a hard tensorflow which then this model will be converted to the tensorflow model lite for the android application. The result of this research showed that the result train object tensorflow is 0,8396 meanwhile the validation is 0,9062. The prediction based on the phone model get 86,6% level of accuracy, in tensorflow 83,3%. And with the phone testing is obtained the level of accuracy 80,0%. From that result, it can be develop and can be used in trash separator automatically.
Download
book
BibTex
Latex, Jabref
cloud_download
Original Resource
url resource Institution
