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Coffee is one of the plantation products in Indonesia which has a very high selling value. In general, the types of coffee found in Indonesia are Robusta and Arabica coffee, besides that there are also Liberica and Hybrid coffees. With the development of technology at this time it is possible to build a system that can work like the human sense of smell. One of them is the electronic nose sensor. The design of the classification system and the introduction of the quality of ground coffee use the ANN-based method or better known as the artificial neural network method, which is expected to improve accuracy in classifying coffee types based on the aroma of coffee. The aim of this research is to make it easier to recognize and J-Eltrik, Vol. 1, No. 2, November 2019 E-ISSN: 2656-9396 ; P-ISSN: 2656-9388 52 Maria U, Haryanto, Kunto AW: Desain Sistem Pengenalan dan Klasifikasi Kopi... classify ground coffee using e-nose, no longer dependent on the sense of smell of humans which are usually unstable and cannot continuously produce a fixed size. The architecture was built using 3 layers with 3 inputs in the form of electronic nose gas readings. While the target output is a combination of binary numbers 0 and 1. The artificial neural network used in this study is able to recognize the value of arabica, robusta and liberation coffee by using a maximum iteration of 5000, the output results show that backpropagation neural network is able to recognize the type of coffee with a success rate 73.3%

Desain Sistem Pengenalan dan Klasifikasi Kopi Bubuk Bermerek dengan Menggunakan Electronic Nose Berbasis Artifical Neural Network (ANN)