Aplikasi Electronic Nose Untuk Klasifikasi Kopi Aceh Gayo Berdasarkan Proses Pasca Panen

Budi Sumanto; Iota Nathasya; Wahyu Wijaya; Jans Hendry

doi:10.14710/jtsiskom.2023.14421

DOI: https://doi.org/10.14710/jtsiskom.2023.14421

Aplikasi Electronic Nose Untuk Klasifikasi Kopi Aceh Gayo Berdasarkan Proses Pasca Panen

Budi Sumanto^{1, 2}

, Iota Nathasya^{1, 2}, Wahyu Wijaya^{1, 2}, Jans Hendry^{1, 2}

¹Department of Electrical Engineering and Informatics, Indonesia

²Vocational College, Universitas Gadjah Mada, Indonesia

Received: 25 Feb 2022; Published: 24 Sep 2024.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

Kopi merupakan salah satu komoditas asal Indonesia dengan daya tarik aroma dan rasa yang khas. Salah satu jenis kopi yang terkenal adalah Kopi Aceh Gayo. Kopi ini memiliki beberapa jenis lagi yang dibedakan melalui proses pasca panen yang dikenakan pada biji kopi yang sama. Hasil pengolahan ini akan menghasilkan aroma dan kualitas yang berbeda seperti pada Gayo natural dan wine. Kualitas kopi umumnya diuji menggunakan hidung manusia yang cenderung memiliki kekurangan karena sifatnya yang subyektif. Adanya kekurangan inilah yang berusaha dibantu dengan menggunakan e-nose dan SVM. E-nose merupakan instrument pengukuran yang memanfaatkan sensor gas untuk mengumpulkan data sinyal dari obyek yang digunakan. SVM (Support Vector Machine) merupakan metode yang digunakan untuk mencari hyperplane terbaik yang dapat memisahkan kedua jenis kopi yang digunakan sebagai obyek percobaan ini. Penggunaaan E-nose dan SVM menghasilkan akurasi prediksi sebesar 90%, presisi sebesar 87,5% dan sensitivitas 93,3%.

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Keywords: kopi aceh gayo; pasca-panen; e-nose; support vector machine

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Section: Original Research Articles

Language : ID

In [IN PRESS] Volume 11, Issue 1, Year 2023 (January 2023)

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Aplikasi Electronic Nose Untuk Klasifikasi Kopi Aceh Gayo Berdasarkan Proses Pasca Panen

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