Aroma pada Kopi: Kajian Hubungan Kata Kunci Berbasis Analisis Bibliometrik sebagai Teknik Pemetaan Referensi Ilmiah
Keywords:
Aroma, Bibliometrik, Co-Word Analysis, Kopi, Science MappingAbstract
Validation of coffee aroma attributes is a crucial factor in characterizing geographic origin as a supporter of product quality assurance practices. However, the utilization of quality assurance narratives to increase the added value of coffee commodities in Indonesia has not been maximized. This study aimed to map scientific references regarding the relationship between coffee and aroma in quality context to identify knowledge gaps and discover research novelties through bibliometric studies. The method used scientific mapping with a co-word analysis approach using VOSviewer software on 139 scientific publications from 1992–2025. The analysis results identified the formation of five main clusters: sample, technology, parameter, output, and species. The keyword "identification" was found to be the central point (central hub) connecting all clusters with a total relationship strength of 191. Therefore, this mapping has produced a conceptual foundation and analytical framework that can serve as a basic reference for research on aroma as a quality attribute characterizing the geographical origin of coffee. Furthermore, the Boolean operator-based keyword formulation that was obtained can be used to optimize the search for scientific references through a more focused and systematic approach.
References
V. V. Freitas, L. L. R. Borges, M. C. T. R. Vidigal, M. H. dos Santos, and P. C. Stringheta, “Coffee: A comprehensive overview of origin, market, and the quality process,” Trends Food Sci. Technol., vol. 146, no. February, 2024, doi: 10.1016/j.tifs.2024.104411.
J. Manzo, “Coffee, Connoisseurship, and an Ethnomethodologically-Informed Sociology of Taste,” Hum. Stud., vol. 33, no. 2/3, pp. 141–155, 2010, doi: 10.1007/s10746-010-9159-4.
M. Purnomo, Y. Yuliati, A. Shinta, and F. D. Riana, “Developing coffee culture among Indonesia’s middle-class: A case study in a coffee-producing country,” Cogent Soc. Sci., vol. 7, no. 1, pp. 1–12, 2021, doi: 10.1080/23311886.2021.1949808.
C. de León-Solis, V. Casasola, and T. Monterroso, “Metabolomics as a tool for geographic origin assessment of roasted and green coffee beans,” Heliyon, vol. 9, no. 11, 2023, doi: 10.1016/j.heliyon.2023.e21402.
P. S. M. Boaventura, C. C. Abdalla, C. L. Araújo, and J. S. Arakelian, “Value Co-Creation In The Speciaty Coffee Value Chain: The Third Wave Coffee Movement,” Rev. Adm. Empres. (Journal Bus. Manag., vol. 58 (3), no. June, pp. 254–266, 2018, [Online]. Available: http://dx.doi.org/10.1590/S0034-759020180306
R. Teuber, “Geographical indications of origin as a tool of product differentiation: The case of coffee,” J. Int. Food Agribus. Mark., vol. 22, no. 3, pp. 277–298, 2010, doi: 10.1080/08974431003641612.
C. Bunn, P. Läderach, O. Ovalle Rivera, and D. Kirschke, “A bitter cup: climate change profile of global production of Arabica and Robusta coffee,” Clim. Change, vol. 129, no. 1–2, pp. 89–101, 2015, doi: 10.1007/s10584-014-1306-x.
S. Fetzek, “The Coffee Belt: Climate, Coffee and Security,” in Epicenters of Climate and Security: the New Geostrategic Landscape of the Anthropocene, C. E. Werrell and F. Femia, Eds., Washington, DC: The Center For Climate And Security, 2017, pp. 91–99.
A. Pua et al., “Recent advances in analytical strategies for coffee volatile studies: Opportunities and challenges,” Food Chem., vol. 388, no. January, p. 132971, 2022, doi: 10.1016/j.foodchem.2022.132971.
K. J. Flambeau, W. J. Lee, and J. Yoon, “Discrimination and geographical origin prediction of washed specialty Bourbon coffee from different coffee growing areas in Rwanda by using electronic nose and electronic tongue,” Food Sci. Biotechnol., vol. 26, no. 5, pp. 1245–1254, 2017, doi: 10.1007/s10068-017-0168-1.
V. Giannetti, M. Di Fabio, M. Boccacci Mariani, and M. Rapa, “Development of an Integrated HS-SPME/GC–MS and a Chemometric Method for the Classification of Specialty Arabica Coffee Beans,” 2026, doi: 10.1007/s12161-025-02957-x.
I. Barahona, E. M. Sanmiguel Jaimes, and J. B. Yang, “Sensory attributes of coffee beverages and their relation to price and package information: A case study of Colombian customers’ preferences,” Food Sci. Nutr., vol. 8, no. 2, pp. 1173–1186, 2020, doi: 10.1002/fsn3.1404.
J.-F. Morin, E. Jamin, S. Guyader, and F. Thomas, “Coffee,” in Food Integrity Handbook A Guide to Food Authencity Issues and Analytical Solutions, M. Morin, Jean-Francois; Lees, Ed., Nantes: Eurofins Analytics France, 2018, pp. 295–314.
C. M. Bemfeito, A. S. Guimarães, A. L. de Oliveira, B. F. Andrade, L. M. A. F. de Paula, and C. J. Pimenta, “Do consumers perceive sensory differences by knowing information about coffee quality?,” Lwt, vol. 138, no. December 2020, p. 110778, 2021, doi: 10.1016/j.lwt.2020.110778.
S. Mawardi, “Establishment of Geographical Indication Protection System in Indonesia, Case in Coffee,” Sofia, WIPO/GEO/SOF/09/3, 2009.
C. Durand and S. Fournier, “Can Geographical Indications Modernize Indonesian and Vietnamese Agriculture? Analyzing the Role of National and Local Governments and Producers’ Strategies,” World Dev., vol. 98, pp. 93–104, 2017, doi: 10.1016/j.worlddev.2015.11.022.
S. Bowen, “Embedding local places in global spaces: Geographical indications as a territorial development strategy,” Rural Sociol., vol. 75, no. 2, pp. 209–243, 2010, doi: 10.1111/j.1549-0831.2009.00007.x.
J. Neilson, J. Wright, and L. Aklimawati, “Geographical indications and value capture in the Indonesia coffee sector,” J. Rural Stud., vol. 59, no. May 2017, pp. 35–48, 2018, doi: 10.1016/j.jrurstud.2018.01.003.
M. Vicol, J. Neilson, D. F. S. Hartatri, and P. Cooper, “Upgrading for whom? Relationship coffee, value chain interventions and rural development in Indonesia,” World Dev., vol. 110, pp. 26–37, 2018, doi: 10.1016/j.worlddev.2018.05.020.
A. Thalib, M. R. Razman, R. Hamzah, and N. A. Thalib, “Shortcomings of Geographical Indication in Indonesia: A Critical Appraisal,” J. Hunan Univ. Nat. Sci., vol. 52, no. Volume 52, Issue 5, pp. 63–75, 2025, doi: 10.55463/issn.1674-2974.52.5.6.
S. Rossi et al., “Agri-food traceability today: Advancing innovation towards efficiency, sustainability, ethical sourcing, and safety in food supply chains,” Trends Food Sci. Technol., vol. 163, no. June, p. 105154, 2025, doi: 10.1016/j.tifs.2025.105154.
L. Waltman, N. J. van Eck, and E. C. M. Noyons, “A unified approach to mapping and clustering of bibliometric networks,” J. Informetr., vol. 4, no. 4, pp. 629–635, 2010, doi: 10.1016/j.joi.2010.07.002.
N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, and W. M. Lim, “How to conduct a bibliometric analysis: An overview and guidelines,” J. Bus. Res., vol. 133, no. April, pp. 285–296, 2021, doi: 10.1016/j.jbusres.2021.04.070.
S. Verma and A. Gustafsson, “Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach,” J. Bus. Res., vol. 118, no. July, pp. 253–261, 2020, doi: 10.1016/j.jbusres.2020.06.057.
N. J. van Eck and L. Waltman, VOSviewer Manual: Manual for VOSviewer version 1 .6.2, no. October. 2023. [Online]. Available: https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.20.pdf
M. E. J. Newman, “Fast algorithm for detecting community structure in networks,” Phys. Rev. E - Stat. Physics, Plasmas, Fluids, Relat. Interdiscip. Top., vol. 69, no. 6, pp. 1–5, 2004, doi: 10.1103/PhysRevE.69.066133.
A. I. Juwita, D. Herawati, D. N. Faridah, and N. Andarwulan, “Coffee and geographical indication in food science perspective: a bibliometric analysis for future research,” BIO Web Conf., vol. 169, 2025, doi: 10.1051/bioconf/202516901008.
M. Melikoglu, “Instrumental-analytical integration in food sensory evaluation: Current trends and future horizons,” Microchem. J., vol. 221, no. December 2025, p. 116942, 2026, doi: 10.1016/j.microc.2026.116942.
