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.

Citation Format:

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%.

Fulltext Email colleagues

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

Article Metrics:

Article Info

Section: Original Research Articles

Language : ID

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

Most viewed articles

Implementasi Sistem Informasi Geografis Daerah Pariwisata Kota Semarang Berbasis Android dengan Global Positioning System (GPS) Optimization for prediction model of palm oil land suitability using spatial decision tree algorithm Pemanfaatan Augmented Reality untuk Pembelajaran Pengenalan Alat Musik Piano Pengembangan Sistem Pakar Untuk Diagnosis Penyakit Hepatitis Berbasis Web Menggunakan Metode Certainty Factor Perancangan Sistem Informasi Rekam Medis Rawat Inap Rumah Sakit Berbasis Web More articles

Most cited articles

Desain dan Implementasi Sistem Pembelajaran Jarak Jauh Di Program Studi Sistem Komputer SMS Security Improvement using RSA in Complaints Application on Regional Head Election’s Fraud Pembuatan Aplikasi Panduan Gizi Seimbang Berbasis Android Dengan Menggunakan Metode Backward Chaining People counter on CCTV video using histogram of oriented gradient and Kalman filter methods Parameter tuning in KNN for software defect prediction: an empirical analysis More cited articles

Kementrian Perindustrian Republik, Peluang Usaha IKM Kopi. Direktorat Jendral Industri Kecil dan Menengah Kementrian Perindustrian Republik Indonesia, 2017
R. K. pertanian I. Widaningsih, Buku Outlook Komoditas Perkebunan Kopi. 2019
M. Farhan, “Pengaruh Metode Pengolahan Pasca Panen Dan Teknik Penyeduhan Terhadap Cita Rasa Kopi,” 2019
International Coffe Organization, “Coffee Development Report,” 2021. doi: 10.1007/978-94-015-7787-8_3
A. T. Toci dan A. Farah, “Volatile compounds as potential defective coffee beans’ markers,” Food Chem., vol. 108, no. 3, hal. 1133–1141, 2008, doi: 10.1016/j.foodchem.2007.11.064
K. J. Flambeau, W. J. Lee, dan J. Yoon, “Discrimination and geographical origin prediction of washed specialty Bourbon coffee from different coffee growing areas in Rwanda by using electronic nose and electronic tongue,” Food Sci. Biotechnol., vol. 26, no. 5, hal. 1245–1254, 2017, doi: 10.1007/s10068-017-0168-1
P. Della Audyna, “Verifikasi Klasifikias Jenis Teh Menggunakan Electronic Nose Berbasis Support Vector Machine dan Algoritma Genetika,” Universitas Gadjah Mada, 2018
K. Mahmodi, M. Mostafaei, dan E. Mirzaee-Ghaleh, “Detection and classification of diesel-biodiesel blends by LDA, QDA and SVM approaches using an electronic nose,” Fuel, vol. 258, no. May, hal. 116114, 2019, doi: 10.1016/j.fuel.2019.116114
P. López, R. Triviño, D. Calderón, A. Arcentales, dan A. V. Guamán, “Electronic nose prototype for explosive detection,” 2017 Chil. Conf. Electr. Electron. Eng. Inf. Commun. Technol. CHILECON 2017 - Proc., vol. 2017-Janua, hal. 1–4, 2017, doi: 10.1109/CHILECON.2017.8229657
I. Inca, T. W. Widodo, dan D. Lelono, “Klasifikasi Teh Hijau dan Teh Hitam Tambi-Pagilaran dengan Metode Principal Component Analysis (PCA) Menggunakan E-Nose,” IJEIS (Indonesian J. Electron. Instrum. Syst., vol. 8, no. 1, hal. 61, 2018, doi: 10.22146/ijeis.28718
B. H. Tozlu, C. Şimşek, O. Aydemir, dan Y. Karavelioglu, “A High performance electronic nose system for the recognition of myocardial infarction and coronary artery diseases,” Biomed. Signal Process. Control, vol. 64, no. September 2020, 2021, doi: 10.1016/j.bspc.2020.102247
A. Hayes, “What’s Variance,” 2021. https://www.investopedia.com/terms/v/variance.asp (diakses Sep 25, 2021)
L. F. Chaparro dan A. Akan, Signals and systems using MATLAB. 2018
V. K. Ingle dan J. G. Proakis, “Digital Signal Processing,” in Fiber Optic Communications, vol. 22, no. 4, Chichester, UK: John Wiley & Sons, Ltd, 2014, hal. 497–526
S. Yadav dan S. Shukla, “Analysis of k-Fold Cross-Validation over Hold-Out Validation on Colossal Datasets for Quality Classification,” Proc. - 6th Int. Adv. Comput. Conf. IACC 2016, no. Cv, hal. 78–83, 2016, doi: 10.1109/IACC.2016.25
F. J. Ariza-López, J. Rodríguez-Avi, dan M. V. Alba-Fernández, “Complete control of an observed confusion matrix,” Int. Geosci. Remote Sens. Symp., vol. 2018-July, hal. 1222–1225, 2018, doi: 10.1109/IGARSS.2018.8517540
O. P. Singh, R. Palaniappan, dan M. Malarvili, “Automatic Quantitative Analysis of Human Respired Carbon Dioxide Waveform for Asthma and Non-Asthma Classification Using Support Vector Machine,” IEEE Access, vol. 6, hal. 55245–55256, 2018, doi: 10.1109/ACCESS.2018.2871091
P. F. Qi, Q. H. Meng, Y. Q. Jing, M. Zeng, dan S. G. Ma, “Rapid detection of Chinese liquors using a portable e-nose based on C-SVM,” Proc. World Congr. Intell. Control Autom., vol. 2016-September, hal. 1388–1392, 2016, doi: 10.1109/WCICA.2016.7578628
H. Song, Z. Ding, C. Guo, Z. Li, dan H. Xia, “Research on combination kernel function of support vector machine,” Proc. - Int. Conf. Comput. Sci. Softw. Eng. CSSE 2008, vol. 1, hal. 838–841, 2008, doi: 10.1109/CSSE.2008.1231
B. Ghojogh dan M. Crowley, “The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial,” hal. 1–23, 2019, [Daring]. Tersedia pada: http://arxiv.org/abs/1905.12787

Last update:

No citation recorded.

Last update: 2025-06-06 06:37:57

No citation recorded.

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

Starting from 2021, the author(s) whose article is published in the JTSiskom journal attain the copyright for their article and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. By submitting the manuscript to JTSiskom, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that:

their article is original, written by the mentioned author(s),
has never been published before,
does not contain statements that violate the law, and
does not violate the rights of others, is subject to copyright held exclusively by the author(s), is free from the rights of third parties, and the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

Copyright and other proprietary rights related to the article, such as patents,
The right to use the substance of the article in its own future works, including lectures and books,
The right to reproduce the article for its own purposes,
The right to archive all versions of the article in any repository, and
The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal (Jurnal Teknologi dan Sistem Komputer).

Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. JTSiskom will not be held responsible for anything arising because of the writer's internal dispute. JTSiskom will only communicate with correspondence authors.

Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. JTSiskom allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JTSiskom to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.

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

EDITORIAL OFFICE OF JURNAL TEKNOLOGI DAN SISTEM KOMPUTER