Seleksi Fitur dengan Artificial Bee Colony untuk Optimasi Klasifikasi Data Teh menggunakan Support Vector Machine
Tea quality can be recognized through the aroma it produces. Tea classification using e-nose generally only detects aroma using a general gas sensor. However, redundancy of sensor features can cause a decreasing in the system performance. Therefore we need a system that can select features so the cl...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Gadjah Mada
2022-04-01
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| Series: | IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) |
| Subjects: | |
| Online Access: | https://jurnal.ugm.ac.id/ijeis/article/view/63902 |