Sistem Pendukung Keputusan Pemilihan Lahan Tanaman Kopi Menggunakan Metode Complex Proportional Assessment (COPRAS)
DOI:
https://doi.org/10.30865/klik.v3i3.605Keywords:
Complex Proportional Assessment; COPRAS; Coffee Land; Decision Support System; DSSAbstract
Land is one of the important aspects in cultivating coffee plants. This is because the land has a stake in increasing the quality and yield of crops. To select a coffee field, it is necessary to be based on accurate data and information about the land. So, conventional decision-making will take time because it needs to be discussed and compared between data from one field to another. So, the purpose of the research conducted is to develop a Decision Support System (DSS) using the Complex Proportional Assessment (COPRAS) method to determine the right coffee area and according to needs. The COPRAS approach can carry out different alternative analyzes and is able to make alternative estimates that are adjusted to the level of utility by providing ratings presented in intervals. Based on a case study conducted using the COPRAS method, the highest utility value was land in Banjar Negeri Village (A2) with a value of 100, followed by Tanjung Agung Village (A3) with a value of 93.64, Tanjung Jati Village (A1) with a value 92.90 and Kampung Baru Village with a value of 83.53. The results of the SPK developed with the results of manual calculations get the same value. Besides that, the test through Black-Box Testing shows the results that all system functions built can run well
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References
M. I. Mahdi, “Produksi Kopi Indonesia Naik 2,8% pada 2021,” DataIndonesia.id, 2022. https://dataindonesia.id/sektor-riil/detail/produksi-kopi-indonesia-naik-28-pada-2021
A. Nurawan, Y. Sulaeman, and K. K. Hamdani, Teknologi Perbenihan dan Budidaya Kopi Arabika. Bogor: PT Penerbit IPB Press, 2022.
I. G. B. Udayana, Y. P. Situmeang, I. G. P. Mangku, L. Suriati, I. D. N. Sudita, and I. G. A. M. P. Sanjaya, Standar Operasional Prosedur (SOP) Budidaya Kopi Arabica Yang Baik Good Agriculture Practices (GAP). Surabaya: Scopindo Media Pustaka, 2021.
M. Rizwan, Budidaya Kopi. Pasaman Barat: CV. Azka Pustaka, 2022.
R. Nuraini, “Decision Support System For Hydroponic Vegetable Seed Selection Using Exponential Comparison Method,” PILAR Nusa Mandiri J. Comput. Inf. Syst., vol. 18, no. 2, pp. 123–130, 2022, doi: 10.33480/pilar.v18i2.3471.
D. Alamsyah, R. Nuraini, and M. Bagir, “Implementasi Metode Complex Proportional Asessment (COPRAS) Pada Sistem Pendukung Keputusan Pemilihan Bluetooth Audio Transmitter,” J. Comput. Syst. Informatics, vol. 3, no. 3, pp. 123–132, 2022, doi: 10.47065/josyc.v3i3.1695.
R. Nuraini, “Decision Support System for Projector Selection Using the Weighted Aggregated Sum Product Assessment Method,” Comput. Sci. Res. Its Dev. J., vol. 14, no. 3, pp. 228–241, 2022, doi: 10.22303/csrid.14.3.2022.228-241.
R. Nuraini, L. Liesnaningsih, N. Handayani, and H. Rusdianto, “Decision Support System for Palm Plantation Land Selection Using the Topsis Method,” J. Pilar Nusa Mandiri, vol. 18, no. 1, pp. 47–52, 2022, doi: 10.33480/pilar.v18i1.2950.
F. Yanti and T. Limbong, “Sistem Pendukung Keputusan Pemilihan Lembaga Bimbingan Belajar Berdasarkan Pendapatan Orang Tua dengan Metode Simple Additive Weighting,” JUKI J. Komput. dan Inform., vol. 2, no. 2, pp. 89–97, 2020.
R. Rohmansyah and W. Susanti, “Penerapan Fuzzy AHP Untuk Pemilihan Jenis Lahan Tanaman Pangan,” J. Mhs. Apl. Teknol. Komput. dan Inf., vol. 3, no. 1, pp. 39–46, 2021.
A. Hia, M. Marsono, and T. Syahputra, “Sistem Pendukung Keputusan Menentukan Performance Cleaning Service Menggunakan Metode COPRAS,” J. Sist. Inf. TGD, vol. 1, no. 3, pp. 157–171, 2022.
S. R. Cholil and M. A. Setyawan, “Metode COPRAS Untuk Menentukan Kain Terbaik Dalam Pembuatan Pakaian Pada Butik Batik Hatta Semarang,” J. Teknol. Inf. dan Ilmu Komput., vol. 8, no. 6, pp. 1169–1176, 2021, doi: 10.25126/jtiik.202183584.
A. D. U. Siregar, N. A. Hasibuan, and F. Fadlina, “Sistem Pendukung Keputusan Pemilihan Sales Marketing Terbaik di PT. Alfa Scorph Menggunakan Metode COPRAS,” J. Sist. Komput. dan Inform., vol. 2, no. 1, pp. 62–68, 2020, doi: 10.30865/json.v2i1.2455.
A. Herdiansah, R. I. Borman, D. Nurnaningsih, A. A. J. Sinlae, and R. R. Al Hakim, “Klasifikasi Citra Daun Herbal Dengan Menggunakan Backpropagation Neural Networks Berdasarkan Ekstraksi Ciri Bentuk,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 2, pp. 388–395, 2022, doi: 10.30865/jurikom.v9i1.3846.
M. M. Muchlis, I. Fitri, and R. Nuraini, “Rancang Bangun Aplikasi Data Mining pada Penjualan Distro Bloods Berbasis Web menggunakan Algoritma Apriori,” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 5, no. 1, pp. 26–33, 2021.
R. Nuraini, “Klasifikasi Citra Jenis Kapasitor Menggunakan Kombinasi Algoritma K-Nearest Neighbor dan Principal Component Analysis,” J. Comput. Syst. Informatics, vol. 3, no. 3, pp. 133–140, 2022, doi: 10.47065/josyc.v3i3.1694.
I. Ahmad, A. T. Prastowo, E. Suwarni, and R. I. Borman, “Pengembangan Aplikasi Online Delivery Sebagai Upaya Untuk Membantu Peningkatan Pendapatan,” JMM (Jurnal Masy. Mandiri), vol. 5, no. 6, pp. 4–12, 2021.
R. Nuraini, R. R. Al Hakim, T. Lisnawati, and W. T. Fariati, “Pengembangan Sistem Klasifikasi Tipe Kepribadian Siswa Secara Psikologis dengan Algoritma Decision Tree C . 45,” Build. Informatics, Technol. Sci., vol. 3, no. 3, pp. 220–227, 2021, doi: 10.47065/bits.v3i3.1045.
R. Nuraini, “Identification of Freshwater Fish Types Using Linear Discriminant Analysis (LDA) Algorithm,” IJICS (International J. Informatics Comput. Sci., vol. 6, no. 3, pp. 147–154, 2022, doi: 10.30865/ijics.v6i3.5565.
R. Nuraini, “Implementasi Jaringan Syaraf Tiruan Menggunakan Metode Self- Organizing Map Pada Klasifikasi Citra Jenis Ikan Kakap,” Build. Informatics, Technol. Sci., vol. 4, no. 3, pp. 1325–1333, 2022, doi: 10.47065/bits.v4i3.2558.
R. I. Borman and B. Priyopradono, “Implementasi Penerjemah Bahasa Isyarat Pada Bahasa Isyarat Indonesia (BISINDO) Dengan Metode Principal Component Analysis (PCA),” J. Inform. J. Pengemb. IT, vol. 03, no. 1, pp. 103–108, 2018.
G. Ginting, S. Alvita, A. Karim, M. Syahrizal, and N. K. Daulay, “Penerapan Complex Proportional Assessment (COPRAS) Dalam Penentuan Kepolisian Sektor Terbaik,” J. Sains Komput. Inform., vol. 4, no. 2, pp. 616–631, 2020.
K. N. S. V. Ramana, R. Krishankumar, M. S. Trzin, P. P. Amritha, and D. Pamucar, “An Integrated Variance-COPRAS Approach with Nonlinear Fuzzy Data for Ranking Barriers Affecting Sustainable Operations,” Sustainability, vol. 14, no. 1093, pp. 1–18, 2022.
T. Yolanda and M. Sihite, “Sistem Pendukung Keputusan Penentuan Kelompok Nelayan Terbaik Menerapkan Metode Copras,” J. Maj. Ilm. Inf. dan Teknol. Ilm., vol. 7, no. 2, pp. 106–110, 2020.
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