Penerapan Metode Waspas dan Aras Dalam Menentukan Biji Kopi Terbaik Untuk Kopi Lain Hati
DOI:
https://doi.org/10.58369/biit.v3i3.132Abstract
Coffee beans are the seeds of the coffee plant and are the main source for coffee drinks. In Indonesia, there are two main varieties of coffee beans developed, namely Robusta Coffee (Coffee Robusta) and Arabica Coffee (Coffee Arabica). Coffee is one of Indonesia's main export commodities, occupying the third position in the world after Brazil and Vietnam. This research aims to determine the criteria in determining the selection of quality coffee beans through the Weighted Aggregated Sum Product Assessment (WASPAS) and Additive Ratio Asessment (ARAS) methods. This is done to simplify the process of selecting quality coffee beans. This research uses 5 criteria, namely: Price, Color, Aroma , Taste , and Impurity Content . The results of the study show that the ratings resulting from the application of the two methods have similarities. The best alternative identified after the application of both methods is the C7 alternative. Using the WASPAS method, the C7 alternative obtained a reference value of 0.5255. Meanwhile with the ARAS method, the C7 alternative gets the highest reference value, which is 0.9908.
References
M. Simaremare, A. F. Boy, and D. Setiawan, “Penerapan Metode MOORA Menentukan Kualitas Tanaman Bibit Kopi Terbaik,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 1, no. 5, p. 616, 2022, doi: 10.53513/jursi.v1i5.5118.
J. F. Rajagukguk, D. Nofriansyah, and D. Suherdi, “Sistem Pendukung Keputusan Pemilihan Daerah Produktif Penghasil Kopi Terbaik Di Kabupaten Dairi Dengan Metode Weighted Aggregated Sum Product Assesment (Waspas),” J. CyberTech, vol. 2, no. 7, 2019.
J. F. Rajagukguk, D. Nofriansyah, and D. Suherdi, “Sistem Pendukung Keputusan Pemilihan Daerah Produktif Penghasil Kopi Terbaik Di Kabupaten Dairi Dengan Metode Weighted Aggregated Sum Product Assesment (Waspas),” J. CyberTech, vol. 2, no. 7, pp. 1–12, 2019.
A. Unique, “済無No Title No Title No Title,” no. 0, pp. 1–23, 2016.
G. S. Mahendra and I. G. B. Subawa, “Perancangan Metode AHP-WASPAS Pada Sistem Pendukung Keputusan Penempatan ATM,” Pros. Semin. Nas. Pendidik. Tek. Inform. Ke-10, no. 0362, pp. 122–128, 2019.
K. A. Chandra and S. Hansun, “Sistem Rekomendasi Pemilihan Laptop Dengan Metode Waspas,” J. Ecotipe (Electronic, Control. Telecommun. Information, Power Eng., vol. 6, no. 2, pp. 76–81, 2019, doi: 10.33019/ecotipe.v6i2.1019.
Isa Rosita, W. Nur Alimyaningtias, R. Wiandika Auwinaldi Auw, Y. Servanda, S. Sumardi, and J. Jamal, “Implementasi Metode Additive Ratio Assessment sebagai Penentuan Penerimaan Karyawan Baru,” Metik J., vol. 6, no. 2, pp. 157–164, 2022, doi: 10.47002/metik.v6i2.388.
Z. Azhar, N. Mulyani, J. Hutahaean, A. Z. Hasibuan, and H. Sitorus, “Sosialisasi Penggunaan Komputer Dan Internet Sehat Bagi Siswa Siswi Sekolah Menengah Kejuruan,” JMM (Jurnal Masy. Mandiri), vol. 7, no. 3, p. 2194, 2023, doi: 10.31764/jmm.v7i3.14251.
G. GOOD, “済無No Title No Title No Title,” Angew. Chemie Int. Ed. 6(11), 951–952., vol. 1, no. April, pp. 17–26, 2015.
S. Supiyandi, C. Rizal, M. N. H. Siregar, E. Putra, and R. Saragih, “Sistem Pendukung Keputusan Pemilihan Biji Kopi Arabika Terbaik Menggunakan Metode SMART,” Build. Informatics, Technol. Sci., vol. 4, no. 2, pp. 796–802, 2022, doi: 10.47065/bits.v4i2.2118.
F. F. Effendy and R. S. Samosir, “Sistem Pendukung Keputusan Pemilihan Pemasok Biji Kopi Dengan Metode Analytical Hierarchy Process,” Sebatik, vol. 26, no. 1, pp. 347–355, 2022, doi: 10.46984/sebatik.v26i1.1880.
J. Hutahaean, Z. Azhar, N. Mulyani, I. S. P. Sihite, and ..., “Penerapan Sistem Pendukung Keputusan Dalam Penerimaan Sales Internet Provider Dengan Menggunakan Metode WASPAS dan Pembobotan ROC,” … Ilm. Inform. dan …, vol. 4, no. 3, pp. 1362–1368, 2023, doi: 10.30865/klik.v4i3.1355.
D. Alfian, “Sistem Pendukung Keputusan Berbasis Metode Analytical Hierarchy Process (AHP) Dalam Pemilihan Biji Kopi Berkualitas,” INTECOMS J. Inf. Technol. Comput. Sci., vol. 4, no. 2, pp. 192–201, 2021, doi: 10.31539/intecoms.v4i2.2837.
Sri Agustiani Br Siburian, Mohammad Taufan Asri Zaen, Setiawansyah, Dodi Siregar, Erlin Windia Ambarsari, and Yuwan Jumaryadi, “Penerapan Metode Additive Ratio Assement (ARAS) dalam Pemilihan Customer Service Terbaik,” J. Informatics Manag. Inf. Technol., vol. 3, no. 1, pp. 12–17, 2023, doi: 10.47065/jimat.v3i1.239.
Alex Rizky Saputra and Supriatin, “Implementasi Algoritma ARAS Pada SPK Untuk Menentukan Peringkat Dosen Terbaik,” Indones. J. Comput. Sci., vol. 11, no. 2, pp. 578–591, 2022, doi: 10.33022/ijcs.v11i2.3057.
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