Futures in Agro-Food Economics and Logistics Analytics Journal
Vol. 1 No. 1 (2024): December

Organoleptic Quality Analysis of Arabica Coffee (Coffea arabica L.) Brews at Different Roasting Levels

Dewi Puspa Arisandi (Politeknik Negeri Jember)
Ahmad Eggy Prasetyo (Sekolah Tinggi Ilmu Pertanian (STIPER) Jember)
Desi Rejeki (Sekolah Tinggi Ilmu Pertanian (STIPER) Jember)
M. Syahrul Munir (Sekolah Tinggi Ilmu Pertanian (STIPER) Jember)
Luqi Khoiriyah Latif (Sekolah Tinggi Ilmu Pertanian (STIPER) Jember)
Nur Halimah (Sekolah Tinggi Ilmu Pertanian (STIPER) Jember)
Sri Suhastuti (Sekolah Tinggi Ilmu Pertanian (STIPER) Jember)



Article Info

Publish Date
30 Jan 2025

Abstract

Analysis of coffee's organoleptic quality is a crucial step in the development of high-quality coffee products. The organoleptic quality of coffee can influence consumer preference and satisfaction with coffee products. This study aims to analyze the level of preference for Arabica coffee (Coffea arabica L.) brews at various roasting levels. This study uses one factor, namely the roasting level of Arabica cork coffee beans (S), which consists of four levels: S1 = light roasting, S2 = medium roasting, S3 = medium-dusting, and S4 = dark roasting. The parameters observed were color, aroma, and flavor. The results of the study on the level of preference for Arabica coffee showed that different roasting levels can affect the level of preference for Arabica coffee brews. The results of the organoleptic test showed that coffee with medium-dark maturity was more preferred by the panelists compared to light, medium, and dark. The results of this study can be used as a reference for the coffee industry to improve the quality and preference of Arabica coffee.

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Journal Info

Abbrev

jfafela

Publisher

Subject

Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering

Description

FAFELA: Futures in Agro-Food Economics and Logistics Analytics Journal is an international, open-access, and double-blind peer-reviewed journal dedicated to being the premier platform for forward-looking research at the intersection of agricultural economics, food systems, and data-driven logistics. ...