| Issue |
E3S Web Conf.
Volume 687, 2026
The 2nd International Conference on Applied Sciences and Smart Technologies (InCASST 2025)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 9 | |
| Section | Environmental Developments & Sustainable Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202668701005 | |
| Published online | 15 January 2026 | |
Authentication of Indonesian single-origin coffee with geographical indication: A systematic review
1 Department of Food Technology, Universitas Prasetiya Mulya, Tangerang, 15339, Indonesia
2 Department of Software Engineering, Universitas Prasetiya Mulya, Tangerang, 15339, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Indonesia, as a global coffee producer, has established legal protections for coffee certified with geographical indication (GI) to authenticate its origin and maintain consumer trust. Nevertheless, challenges such as GI falsification, mislabeling, and blending issues are major obstacles for Indonesian coffee in the global market. This systematic review critically evaluates recent studies on Indonesian coffee authentication and offers recommendations for future researchers on single-origin GI coffee to improve sustainable coffee farming. Original research published from 2015 to 2025 was identified using the PRISMA framework. The results of this review indicate that spectroscopy techniques combined with chemometrics yield high accuracy in distinguishing coffee types, geographical origin, processing methods, roasting levels, and detecting counterfeits. Several studies also indicate the potential use of E-nose and portable devices for field applications. The main challenges include limited access to technology, a lack of national standardization of methods, and a research focus that is still concentrated on certain coffees. This study recommends the development of a national database of chemical and sensory profiles of Indonesian GI coffee integrated with machine learning, as well as cross-sector collaboration to create a reliable portable authentication system to strengthen the global competitiveness of Indonesian coffee.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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