Analisis Profil Sensori Teh Buah Aneka Rasa dengan Metode CATA (Check-All-That-Apply)

Muhammad Fakih Kurniawan, Nindya Atika Indrastuti, Aviani Kurnianingrum


Fruit tea is processed dried tea leaves mixed with dried fruit. One of the local brand fruit tea products circulating in the Indonesian market is Haveltea. The purpose of this study was to identify the sensory profiles of four fruit tea variants (peach flavored fruit tea, mango flavored fruit tea, lychee flavored fruit tea and bergamot orange flavored fruit tea) using CATA (check-all-that-apply). The methods consisted of two steps: determining sensory attributes of fruit tea using FDG (Forum Discussion Group) and sensory testing to 50 consumers. The analysis used in this CATA included Cochran’s Q-test, correspondence analysis, principal coordinate analysis (PCoA), and penalty analysis using the XLSTAT 2020 software. As a result, the four fruit teas have aroma characters (burned, roasted, tea, sweet and fresh or candied fruit), flavor (fermented, green, lime, lechy, peach and mango), taste (bitter and astringent), and aftertaste (astringent). According to consumer panelists, the ideal fruit tea product is fruit tea with the dominant attributes of fermented flavour, lechy flavor, peach flavor and mango flavour. Based on the results of PCoA and correspondence analysis, which was strengthened by counterplot preference mapping, the attributes of fermented flavour, peach flavor and lechy flavor could affect panelists preference for fruit tea samples and these attributes matched the attributes of the ideal product according to the panelists. Some sensory attributes are required that must be present and enhanced in products such as sweet aroma, lechy flavor and mango flavour. The most preferred fruit tea by consumers is lychee flavored fruit tea with a preference level of up to 71%


CATA; Consumen profiling; Fruit tea; Haveltea; sensory analysis;


Adawiyah, D. R., M. A. Azis, A. S. Ramadhani, and P. Chueamchaitrakun. 2019. Perbandingan profil sensori teh hijau menggunakan metode analisis deskripsi kuantitatif dan cata (check-all-that-apply). Jurnal Teknologi dan Industri Pangan 30(2):161–172.

Adawiyah, D. R., and K. I. Yasa. 2017. Evaluasi Profil Sensori Sediaan Pemanis Komersial Menggunakan Metode Check-All-That-Apply (CATA). Jurnal Mutu Pangan 4(1):23–29.

Ares, G., C. Barreiro, R. Deliza, A. Giménez, and A. Gámbaro. 2010. Application of a check-all-that-apply question to the development of chocolate milk desserts. Journal of Sensory Studies:25: 67-86.

Ares, G., F. Bruzzone, L. Vidal, R. S. Cadena, A. Giménez, B. Pineau, D. C. Hunter, A. G. Paisley, and S. R. Jaeger. 2014. Evaluation of a rating-based variant of check-all-that-apply questions: Rate-all-that-apply (RATA). Food Quality and Preference 36:87–95.

Ismawan, F. 2015. Hasil ekstraksi algoritma principal component analysis (PCA) untuk pengenalan wajah dengan bahasa pemograman java eclipse IDE. Jurnal Sisfotek Global 5(1):26–30.

Khairunnisa, W. 2019. Evaluasi profil sensory produk kopi komersil dengan metode QDA (quantitative descriptive analysis), flash profile dan CATA (check-all-that-apply) . Institut Pertanian Bogor, Bogor.

Martinez, C., M. Santacruz, G. Hough, and M. Vega. 2002. Preference mapping of cracker type biscuits. Food Quality and Preference 13(7–8):535–544.

Meyners, M., J. C. Castura, and B. T. Carr. 2013. Existing and new approaches for the analysis of CATA data. Food Quality and Preference 30(2):309–319.

Sandvik, P., M. Laureati, H. Jilani, L. Methven, M. Sandell, M. Hörmann-Wallner, N. da Quinta, G. G. Zeinstra, and V. L. Almli. 2020. Yuck, This Biscuit Looks Lumpy! Neophobic Levels and Cultural Differences Drive Children’s Check-All-That-Apply (CATA) Descriptions and Preferences for High-Fibre Biscuits. Foods 10(1):21.

Somantri, R. 2014. The Story in Cup of Tea. Trans Media Pustaka, Jakarta.

Sourial, N., C. Wolfson, B. Zhu, J. Quail, J. Fletcher, S. Karunananthan, K. Bandeen-Roche, F. Béland, and H. Bergman. 2010. Correspondence analysis is a useful tool to uncover the relationships among categorical variables. Journal of Clinical Epidemiology 63(6):638–646.

Towaha, J. 2013. Kandungan senyawa kimia pada daun teh (Camellia sinensis). Warta Penelitian dan Pengembangan Tanaman Industri 19(3):12–16.

Varela, P., G. Ares, A. Giménez, and A. Gámbaro. 2010. Influence of brand information on consumers’ expectations and liking of powdered drinks in central location tests. Food Quality and Preference 21(7):873–880.

Wansi, S., and S. Wael. 2014. Analisis kadar klorin pada teh celup berdasarkan waktu seduhan. Biopendix: Jurnal Biologi, Pendidikan dan Terapan 1(1):22–31.

Yang, J.-E., and J. Lee. 2020. Consumer perception and liking, and sensory characteristics of blended teas. Food Science and Biotechnology 29(1):63–74.




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