GDL

Journal from gdlhub / 2019-05-15 15:10:12
Oleh : Budi Gunawan, Salman Alfarisi, Gunanjar Satrio, Arief Sudarmaji, Malvin Malvin, Krisyarangga Krisyarangga, Telkomnika
Dibuat : 2019-05-15, dengan 1 file

Keyword : matlab, meat, metal oxide semiconductor, neural network, simulation
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/11787
Sumber pengambilan dokumen : WEB

The high demand of meat causes the seller mix the fresh and not-fresh meat. Electronic nose was used to detect the quality of the meat quickly and accurately. This research is proposed to test and analyze the sensitivity of MOS sensor in the electronic nose and simulate it using Matlab to identify meat classification using neural network. Test parameters based on Indonesian National Standard (SNI 3932-2008) requirement on the quality of carcass and meat. In this simulation, the number of neurons in the hidden layer was varied to find the most accurate identification. The sensitivity analysis of the MOS sensor was conducted by testing the meat sample aroma, calculate the sensitivity, identify the formation of input, hidden layer, outputs, and simulate the result of the varied formation. Then, found the number of the most optimal neurons. The result of the data training will be applied to the real instrument.

Beri Komentar ?#(0) | Bookmark

Properti	Nilai Properti
ID Publisher	gdlhub
Organisasi	Telkomnika
Nama Kontak	Herti Yani, S.Kom
Alamat	Jln. Jenderal Sudirman
Kota	Jambi
Daerah	Jambi
Negara	Indonesia
Telepon	0741-35095
Fax	0741-35093
E-mail Administrator	elibrarystikom@gmail.com
E-mail CKO	elibrarystikom@gmail.com