Klasifikasi asal geografis kopi bubuk liberika tungkal Jambi dan Probolinggo menggunakan near-infrared spectroscopy (NIRS) dan principal component analysis (PCA)

Ikhsan Nurdziky, Anggoro Cahyo Sukartiko, Nafis Khuriyati

Abstract

Regional origin classification of Geographical Indication (GI) products is necessary for their authentication purpose. Among others, coffee is Indonesia's largest GI group, with Liberica being the least studied. This study aims to classify the geographical origin of dry- and honey-processed Liberica Tungkal Jambi ground coffee, which has been certified and dry-processed Liberica Probolinggo, which has the potential to be certified in the future. A total of 12 samples were tested using Near-Infrared Spectroscopy (NIRS). Spectrum data were analyzed using Principal Component Analysis (PCA) with various preprocessing spectral data, including Multiplicative Scatter Correction (MSC), Baseline, and Detrending. The results showed the ability of the combination of NIRS and PCA to classify three groups of coffee samples, namely: dry-processes Liberica Tungkal Jambi ground coffee, honey-processed Liberica Tungkal Jambi ground coffee, and dry-processed Liberica Probolinggo ground coffee, with the success rate ranged between 88 to 99%. Detrending was the most effective preprocessing for visualizing the classification. The result illustrates the great potential of near-infrared (NIR) spectroscopy in classifying the geographical origin of Liberica ground coffee.

Keywords

Geographical Indication; Liberica Coffee; NIRS; PCA; Probolinggo; Tungkal Jambi

References

Akhmeilia, D. 2022. Pengaruh Impor Kopi Liberika Meranti Oleh Malaysia Terhadap Pertumbuhan Ekonomi Masyarakat Desa Kedabu Rapat Tahun 2018-2020. Skripsi, Universitas Riau, FISIP - Hubungan Internasional.

Ardiyani, F. 2014. Potensi Perbanyakan Kopi Liberika dengan Metode Somatik Embriogenesis. Warta 26(1):14–19.

Baqueta, M. R., E. A. Alves, P. Valderrama, and J. A. L. Pallone. 2023. Brazilian Canephora coffee evaluation using NIR spectroscopy and discriminant chemometric techniques. Journal of Food Composition and Analysis 116

Büchi. 2023. N-500 NIRFlex ® Operation Manual. Tangerang.

Cestari, A. 2021. Development of a fast and simple method to identify pure Arabica coffee and blended coffee by Infrared Spectroscopy. Journal of Food Science and Technology, 58(9): 3645–3654.

de Araújo, T. K. L., R. O. Nóbrega, D. D. de S. Fernandes, M. C. U. de Araújo, P. H. G. D. Diniz, and E. C. da Silva. 2021. Non-destructive authentication of Gourmet ground roasted coffees using NIR spectroscopy and digital images. Food Chemistry, 364(March).

Direktorat Jendral Kekayaan Intelektual, Kementerian Hukum dan Hak Asasi Manusia. 2024. Listing Indikasi Geografis Terdaftar Indikasi Geografis. https://www.dgip.go.id/menu-utama/indikasi-geografis/listing.

Undang-Undang Republik Indonesia Nomor 20 Tahun 2016 Tentang Merek dan Indikasi Geografis. 2016. https://www.dgip.go.id/unduhan/download/uu-nomor-20-tahun-2016-tentang-merek-32#:~:text=Pasal 1 Dalam Undang-Undang,lebih unsur tersebut untuk membedakan

Kulsum, U. .2023. Liberica Coffee Cultivation Farming Business Development Strategy , Marketing/Production of Liberica Coffee in Andungbiru, Tiris, Probolinggo Village. Jurnal Agribisnis - Universitas Terbuka, 01(November 2022).

Masdar, M., A. A. Munawar, and Zulfahrizal, Z. 2016. Komparasi Metode Koreksi Spektrum NIRS (De-Trending dan Derivatif ke-2) untuk Penentuan Kadar Air Bubuk Biji kakao. Jurnal Ilmiah Mahasiswa Pertanian, 1(1): 1059–1068.

Munawar, A. A. 2014. Multivariate analysis and artificial neural network approaches of near infrared spectroscopic data for non-destructive quality attributes prediction of Mango (Mangifera indica L.) Doctoral Dissertation, Georg-August University Goettingen, Goettingen

Munyendo, L., D. Njoroge, Y. Zhang, and B. Hitzmann. 2023. Novel method for the detection of adulterants in coffee and the determination of a coffee’s geographical origin using near infrared spectroscopy complemented by an autoencoder. International Journal of Food Science and Technology, 58(3): 1284–1298.

Olechno, E., A. Puscion-Jakubik, M. E. Z. Zujko, and K. Socha. 2021. Influence of Various Factors on Caffeine Content in Coffee Brews. Foods 10(6): 1–29.

Prasetyo, P., R. Hidayat, Nyoto, and H. Purnomo. 2019. Budidaya Kopi Liberika di lahan gambut. Research Program on Forest,Trees and Agroforestry(04): 3–6.

Rich, D. C., K. M. Livingston, and S. L. Morgan. 2020. Evaluating performance of Lasso relative to PCA and LDA to classify dyes on fibers. Forensic Chemistry 18.

Souza, L. D. S. De, I. P. Carrero Horta, L. De Souza Rosa, L. G. Barbosa Lima, J. Santos Da Rosa, J. Montenegro, L. Da Silva Santos, R. B. Nana De Castro, O. Freitas-Silva, and A. J. Teodoro. 2020. Effect of the roasting levels of: Coffea arabica L. extracts on their potential antioxidant capacity and antiproliferative activity in human prostate cancer cells. RSC Advances 10(50):30115–30126.

Sunarharum, W. B., T. Mahatmanto, D. Y. Ali, Y. P. Prananto, and P. I. Nugroho. 2022. Coffee polyphenols: Biochemical, processing, and health insights. Pages 99–109 Coffee Science. CRC Press.

Sunarharum, W. B., H. R. Umami, A. A. Kartika, S. Septiana, and T. Mahatmanto. 2023. Re-fermentation of Green Liberica Coffee (Coffea Liberica) Beans: Impact on the Caffeine and Antioxidant Content of the Roasted Beans. The Journal of Experimental Life Science 13(2): 67–69.

Tolessa, K., M. Rademaker, B. De Baets, and P. Boeckx. 2016. Prediction of specialty coffee cup quality based on near infrared spectra of green coffee beans. Talanta 150: 367–374.

United States Department of Agriculture. 2023. Indonesia: Coffee Annual. https://apps.fas.usda.gov/newgainapi/api/Report/DownloadReportByFileName?fileName=Coffee%20Annual_Jakarta_Indonesia_ID2023-0012.pdf

Wiesner, K., K. Fuchs, A. M. Gigler, and R. Pastusiak. 2014. Trends in near infrared spectroscopy and multivariate data analysis from an industrial perspective. Procedia Engineering 87: 867–870.

Winkler-Moser, J. K., M. Singh, K. A. Rennick, E. L. Bakota, G. Jham, S. X. Liu, and S. F. Vaughn. 2015. Detection of Corn Adulteration in Brazilian Coffee (Coffea arabica) by Tocopherol Profiling and Near-Infrared (NIR) Spectroscopy. Journal of Agricultural and Food Chemistry 63(49): 10662–10668.

Zheng, A. Y., C. Chen, Y. Q. Chen, B. B. Zhao, and P. D. Zhao. 2023. Application of SVD combined with PCA in delineation and evaluation of ore-prospecting targets in the Gejiu tin polymetallic cluster region, SW China. Ore Geology Reviews 160.

DOI

https://doi.org/10.21107/agrointek.v19i2.25131

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