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A Sensory Evaluation of Arabica Gayo Coffee Flavour Based on Varieties and Processing Techniques Cover

A Sensory Evaluation of Arabica Gayo Coffee Flavour Based on Varieties and Processing Techniques

Open Access
|May 2023

Abstract

Post-harvest handling of coffee is one of the main factors in producing a high-quality coffee, including its processing techniques. This study aimed to conduct a sensory evaluation of arabica Gayo coffee flavour in various varieties and processing techniques. There were four selected coffee varieties in this study, namely Bor-bor, Tim Tim Aceh, Bergendal and Ateng Super, which were obtained from the garden of farmers in Gayo Highlands, Province of Aceh, Indonesia. The coffee processing methods used in this study were both dry and wet processing techniques. The sensory assessment of arabica Gayo coffee flavour was carried out by ten panelists by evaluating the acceptance of the product based on the level of preference. The sensory assessment of flavour included fragrance, flavour, after-taste, acidity, balance, body, and overall based on the panelist decision values using the exponential comparison method (ECM/MPE). Results showed that the wet processing technique was the most suitable technique for arabica Gayo coffee based on the preference of panelists compared to the dry processing technique. Arabica Gayo coffee varieties that have the highest acceptance value by panelists in sequence were Bor-bor varieties (1st choice), Tim Tim Aceh (2nd choice), Ateng Super (3rd choice), and Bergendal (4th choice). Therefore, the Bor-bor variety was the most important coffee variety recommended to be developed by the farmers compared to other coffee varieties.

DOI: https://doi.org/10.2478/prolas-2023-0019 | Journal eISSN: 2255-890X | Journal ISSN: 1407-009X
Language: English
Page range: 132 - 136
Submitted on: Jan 11, 2021
Accepted on: Mar 3, 2023
Published on: May 18, 2023
Published by: Latvian Academy of Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2023 Rahmat Fadhil, Diswandi Nurba, Fachruddin Fachruddin, published by Latvian Academy of Sciences
This work is licensed under the Creative Commons Attribution 4.0 License.