Hudhori, Ahmad Faqih (2019) DESAIN ELECTRONIC NOSE UNTUK PENGENALAN JENIS KOPI LOKAL BERBASIS SENSOR GAS MENGGUNAKAN JARINGAN SYARAF TIRUAN PERAMBATAN MUNDUR. Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
The nose is one of the human senses that can detect various smells or smells of an object. As technology progresses more rapidly, a tool that can function like a nose appears in detecting odors or the term Electronic Nose (e-nose). Observing the large number of Indonesians as coffee enthusiasts, e-nose in this study was used to be able to classify 3 types of local coffee namely: Temanggung coffee, Lampung coffee, and Green Coffee. To be able to recognize the type of coffee based on odor input with a gas sensor TGS 2602 sensor, TGS 2620 sensor, and TGS 2611 sensor are used.. E-nose system uses the Reverse Neural Network (ANN) method to classify the types of coffee used as samples. E-nose using Artificial Neural Network (ANN) method can distinguish the types of coffee used based on the smell input produced. The e-nose system can distinguish and classify the types of coffee samples used, while the time needed for the e-nose system to recognize the type of coffee being tested is varied depending on the coffee being tested. Temanggung coffee detection failure occurs when using a 30-second delay according to the testing table. The failure is caused by data that have not reached the steady state point and sensor readings are still not stable, while the recommended time for e-nose to detect Temanggung coffee is 40 seconds up. At the interval of reading the sample all coffee with a lag time of 20 seconds and 10 seconds could not be detected because the sensor reading value is still fluctuated and has not yet reached the steady state point. Keywords : nose, e-nose, coffee, ANN, gas sensor
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Teknik Elektro |
| Depositing User: | Kaprodi Teknik Elektro |
| Date Deposited: | 21 Oct 2019 01:22 |
| Last Modified: | 21 Oct 2019 01:22 |
| URI: | http://eprints.uty.ac.id/id/eprint/3513 |
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