Analisis Penentuan Pengolahan Kopi Arabika Terbaik Dengan Metode ELECTRE
Abstract
Arabica coffee is a premium commodity with high economic potential, while also offering distinctive taste and aroma that make it valuable in both national and international markets. In processing practice, choosing the right method becomes its own challenge, considering the various alternatives such as wet, dry, and semi-wet methods that must be evaluated based on quality, cost, and environmental impact. The main issue lies in how to determine the optimal processing method that can produce coffee beans of superior quality. This study uses the ELECTRE method, one of the multi-criteria decision-making approaches, to evaluate various Arabica coffee bean processing alternatives. The analysis process includes the preparation of a decision matrix, normalization, weighting of criteria (aroma, flavor, aftertaste, acidity, body, and balance), calculation of concordance and discordance matrices, as well as dominance analysis to obtain priority. The calculation results show that alternative 6 (A6) for Pulped Natural/Honey and A10 for Wet Hulling are the best choices for processing Arabica coffee beans. These findings provide practical solutions for farmers and coffee industry players in improving quality as well as the competitiveness of Indonesian Arabica coffee.
References
Abubakar Karim Khalid Hifnalisa Laila Wijaya Husni Darusman Firdus Muhammad Rusdi, BUDIDAYA KOPI ARABIKA RESPONSIF IKLIM PENGUATAN PRODUSEN KOPI ARABIKA: RESPON MITIGASI DAN ADAPTASI PERUBAHAN IKLIM DI TINGKAT PETANI DI INDONESIA. Syiah Kuala University Press, 2024.
A. Nuraisyah and A. Suandri, “Pengaruh Metode Pengolahan Kopi Robusta Gumitir Di Kabupaten Jember Terhadap Karakteristik Green Coffee Powder (GCP),” Agropross : National Conference Proceedings of Agriculture, pp. 173–179, Sep. 2023, doi: 10.25047/agropross.2023.475.
M. Anggia and R. Wijayanti, “Studi Proses Pengolahan Kopi Metode Kering Dan Metode Basah Terhadap Rendemen Dan Kadar Air,” Jurnal Penelitian Dan Pengkajian Ilmiah Eksakta, vol. 2, no. 2, pp. 137–141, Jul. 2023, doi: 10.47233/jppie.v2i2.996.
Marvin, A. Hajjah, and Yenny Desnelita, “Penerapan Metode ELECTRE Untuk Menentukan Kualitas Pada Biji Kopi Arabika,” JEKIN - Jurnal Teknik Informatika, vol. 4, no. 3, pp. 398–407, Aug. 2024, doi: 10.58794/jekin.v4i3.719.
S. Suhaylah, I. Rasyid Munthe, and V. Sihombing, “Analisis Sensitivitas Metode ELECTRE dalam Pengambilan Keputusan Multi-Kriteria,” Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI), vol. 7, no. 1, pp. 316–322, Mar. 2024, doi: 10.55338/jikomsi.v7i1.3086.
Y. K. S Susliansyah, Eni Irfiani, and Fintri Indriyani, “Rekomendasi Pemilihan Mitra Kerja Proyek Dengan Menggunakan Metode Electre Pada Perusahaan Industri,” J-SAKTI (Jurnal Sains Komputer dan Informatika), pp. 470–480, Mar. 2021.
D. M. Sitohang et al., “PENERAPAN METODE ELECTRE PADA SISTEM PENENTUAN KEPUTUSAN PRIORITAS LOKASI PEMBANGUNAN DESA TELUK KAPUAS MENGGUNAKAN DANA DESA,” 2021.
L. Hanum, V. Sihombing, I. Rasyid Munthe, S. Informasi, U. Labuhan Batu, and I. Email Penulis Korespondensi, “Perbandingan Metode ELECTRE dengan AHP dalam Pengambilan Keputusan Investasi,” Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI, vol. 7, no. 1, pp. 66–69, 2024.
S. K. Wildah, A. Latif, and T. Haryanto, “SINTESA CITRA DAUN KOPI MENGGUNAKAN GENERATIVE ADVERSARIAL NETWORK PADA DATASET PENYAKIT DAUN KOPI,” INTI Nusa Mandiri, vol. 19, no. 1, pp. 23–30, Jul. 2024, doi: 10.33480/inti.v19i1.5045.
X. Shen et al., “Effects of Different Primary Processing Methods on the Flavor of Coffea arabica Beans by Metabolomics,” Fermentation, vol. 9, no. 8, p. 717, Jul. 2023, doi: 10.3390/fermentation9080717.
O. Cwiková et al., “Effects of Different Processing Methods of Coffee Arabica on Colour, Acrylamide, Caffeine, Chlorogenic Acid, and Polyphenol Content,” Foods, vol. 11, no. 20, p. 3295, Oct. 2022, doi: 10.3390/foods11203295.
W. Tari and R. Fadhil, “Evaluasi Sensori Kopi Arabika Gayo Berbagai Varietas Berdasarkan Proses Pengolahan Basah dan Semi Basah Menggunakan Metode AHP (Analytical Hierarchy Process),” Jurnal Ilmiah Mahasiswa Pertanian, vol. 7, no. 2, 2022, [Online]. Available: www.jim.unsyiah.ac.id/JFP
M. Fakih Kurniawan, A. Mardiah Nasution, D. Riski Hapsari, and T. Pangan dan Gizi, “Karakteristik Sensori Kopi Arabika Varietas Sigagar Utang Berdasarkan Pengolahannya Menggunakan Quantitative Descriptive Analysis (QDA) Sensory Characteristics of Arabica Coffee (Coffea Arabica) of the Sigagar Utang Variety Based on Processing Using Quantitave Descriptive Analysis (QDA),” vol. 7, no. 2, pp. 204–218, 2024, doi: 10.26877/jiphp.v7vi2i.16996.
A. Ramansyah Putra and H. Ardiansyah, “Implementasi Metode Electre Sebagai Sistem Pendukung Dalam Menentukan Beasiswa Murid Berbasis Web.” [Online]. Available: https://jurnal.publikasitecno.id/index.php/jim
Copyright (c) 2026 Ester Arisawati, Rinawati, Erene Gernaria Sihombing , Frisma Handayanna Handayanna

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).


.png)
.png)


