PENGGUNAAN METODE SOFT INDEPENDENT MODELLING OF CLASS ANALOGY DAN UV-VIS SPECTROSCOPY UNTUK MEMBEDAKAN KOPI BUBUK ROBUSTA ASAL JAWA DAN SUMATERA SECARA CEPAT

Authors

  • Diding Suhandy Politeknik Negeri Lampung

DOI:

https://doi.org/10.25181/jppt.v18i2.760

Keywords:

Kopi Pagar Alam, kopi Jawa Mocha, UV-VIS spectroscopy, diskriminasi, metode SIMCA, pengoplosan.

Abstract

Penelitian ini merupakan aplikasi penggunaan metode UV-VIS spectroscopy dan SIMCA untuk membedakan kopi bubuk robusta asal Sumatera dan Jawa. Pengambilan spektra sampel larutan kopi yang sudah disaring dan diencerkan, dilakukan dengan menggunakan UV-VIS spectrometer (Genesys™ 10S UV-Vis, Thermo Scientific, USA). Model SIMCA dibangun untuk masing-masing kelas yaitu model SIMCA kopi robusta Sumatera dan model SIMCA kopi robusta Jawa. Hasil prediksi menunjukkan bahwa seluruh sampel prediksi berhasil dikelompokkan secara benar sesuai dengan kelasnya masing-masing menggunakan model SIMCA yang dibangun, kecuali sampel S14aPA yang gagal dikelompokkan sebagai kopi robusta Sumatera. Berdasarkan hasil analisis plot discriminant power diperoleh kesimpulan bahwa secara umum kontribusi panjang gelombang antara 200–350 nm lebih tinggi dibandingkan dengan panjang gelombang 350–600 nm. Beberapa panjang gelombang dengan kontribusi sangat tinggi (nilai discriminant power tinggi) dan terlihat sebagai puncak pada plot adalah 245 nm, 253 nm, 264 nm, 316 nm dan 327 nm. 

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References

Bylesjo, M., Rantalainen, M., Cloarec, O., Nicholson, J.K., Holmes, E., dan Trygg, J. 2006. OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification. Journal of Chemometrics, 20: 341–351.

Derde, M.P., dan Massart, D.L. 1988. Comparison of the performance of the class modelling techniques UNEQ, SIMCA, and PRIMA. Chemometrics and Intelligent Laboratory Systems, 4: 65–93

Dias, R.C.E., Alves, S.T., dan de Toledo Benassi, M. 2013. Spectrophotometric method for quantification of kahweol in coffee. Journal of Food Composition and Analysis, 31:137–143.

Ebrahimi-Najafabadi, H., Leardi, R., Oliveri, P., Casolino, M.C., Jalali-Heravi, M., dan Lanteri, S. 2012. Detection of addition of barley to coffee using near infrared spectroscopy and chemometric techniques. Talanta, 99: 175–179.

Kumar, S., Panchariya, P.C., Prasad, P.B., dan Sharma, A.L. 2015. Non-destructive classification of assam black tea using ultra-fast gas chromatography (UFGC) coupled with soft independent modeling of class analogy (SIMCA). Sensors & Transducers, 186: 104–111.

Pauli, E. D., Barbieri, F., Garcia, P.S., Madeira, T.B., Acquaro, V.R., dan Scarminio, I.S. 2014. Detection of ground roasted coffee adulteration with roasted soybean and wheat. Food Research International, 61: 112–119.

Reis, N., Franca, A.S., dan Oliveira, L.S. 2013. Performance of diffuse reflectance infrared Fourier transform spectroscopy and chemometrics for detection of multiple adulterants in roasted and ground coffee. LWT-Food Science and Technology, 53: 395–401.

Souto, U. T. C. P., Barbosa, M.F., Dantas, H.V., Pontes, A.S., Lyra, W.S., dan Diniz, P.H.G.D. 2015. Screening for coffee adulteration using digital images and SPA-LDA. Food Analytical Methods, 8(6): 1515–1521.

Suhandy, D. dan Yulia, M. 2017. Peaberry coffee discrimination using UV-visible spectroscopy combined with SIMCA and PLS-DA. International Journal of Food Properties (accepted manuscript).

Suhandy, D., Waluyo, S., Sugianti, C., Yulia, M., Iriani, R., Handayani, F.N., dan Apratiwi, N. 2016b. The use of UV-Vis-NIR spectroscopy and chemometrics for identification of adulteration in ground roasted arabica coffees -investigation on the influence of particle size on spectral analysis-. Prosiding Seminar Nasional Tempe. 28 Mei 2016. Bandar Lampung.

Tavares, K. M., Pereira, R.G.F.A., Nunes, C.A., Pinheiro, A.C.M., Rodarte, M.P., dan Guerreiro, M.C. 2012. Mid-infrared spectroscopy and chemometrics were used to identify adulteration in roasted and ground coffee by addition of coffee husks. Quimica Nova, 35: 1164–1168.

Toledo, B. R., Hantao, L.W., Ho, T.D., Augusto, F., dan Anderson, J.L. 2014. A chemometric approach toward the detection and quantification of coffee adulteration by solid-phase microextraction using polymeric ionic liquid sorbent coatings. Journal of Chromatography A, 1346: 1–7.

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Published

2018-05-09

How to Cite

Suhandy, D. (2018). PENGGUNAAN METODE SOFT INDEPENDENT MODELLING OF CLASS ANALOGY DAN UV-VIS SPECTROSCOPY UNTUK MEMBEDAKAN KOPI BUBUK ROBUSTA ASAL JAWA DAN SUMATERA SECARA CEPAT. Jurnal Penelitian Pertanian Terapan, 18(2), 110-115. https://doi.org/10.25181/jppt.v18i2.760

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