Sistem Pendukung Keputusan Pemilihan Bibit Padi Unggul Menggunakan Metode Simple Additive Weighting (SAW)
- Fina Febriyani Universitas Teknologi Digital Indonesia, Yogyakarta, Indonesia
-
Asyahri Hadi Nasyuha
*
Universitas Teknologi Digital Indonesia, Yogyakarta,
Indonesia
- Deborah Kurniawati Universitas Teknologi Digital Indonesia, Yogyakarta, Indonesia (*) Corresponding Author
Abstract
The selection of superior rice seeds is a crucial stage in improving agricultural productivity in Indonesia. However, farmers often select seeds subjectively without systematically considering important factors. To address this issue, this study designs and develops a Decision Support System (DSS) based on the Simple Additive Weighting (SAW) method to assist farmers in selecting the best rice seeds using six criteria: pest resistance, harvest age, amylose content, yield, irrigation water efficiency, and rice texture. Data were collected through interviews with five farmers in Mangir Lor. The results showed that the rice variety Inpari 32 achieved the highest score of 0.87, thus recommended as the best alternative. The SAW method proved effective in managing multicriteria data and producing objective and accurate results. This DSS is expected to serve as a practical decision-making tool for farmers in selecting high-quality rice seeds and contribute to the achievement of sustainable national food security.
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References
A. Fadilla, A. H. Nasyuha, and V. W. Sari, “Sistem Pendukung Keputusan Pemilihan Juru Masak ( Koki ) Menggunakan Metode Complex Proportional Assesment ( COPRAS ),” vol. 9, no. 2, pp. 316–327, 2022, doi: 10.30865/jurikom.v9i2.3920.
N. Manurung, “Jurnal Informatika dan Teknologi Informasi Perbandingan Metode SAW Dan Topsis Dalam Pemilihan Jurnal Informatika dan Teknologi Informasi,” vol. 3, no. 3, pp. 376–385, 2025, doi: 10.56854/jt.v3i3.497.
T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis, 2020.
Mesran et al., Data Mining for Decision Support System, 1st ed. Jawa Tengah: Pena Persada Kerta Utama, 2024.
A. H. Nasyuha, Zulkifli, I. Purnama, A. Sidabutar, A. Karim, and Mesran, “Sistem Pendukung Keputusan Penentuan Kerani Timbang Lapangan Terbaik Menerapkan Metode Operational Competitiveness Rating Analysis (OCRA),” J. MEDIA Inform. BUDIDARMA, vol. 6, no. 1, pp. 355–361, 2022, doi: 10.30865/mib.v6i1.3475.
E. Pawan, N. S. Irjanto, R. N. Aprilianti, and S. Syaraswati, “Implementasi Metode Simple Additive Weighting pada Sistem Pendukung Keputusan Pemilihan Bibit Cabai Rawit Unggul,” J. Bumigora Inf. Technol., vol. 4, no. 2, pp. 167–178, 2022, doi: 10.30812/bite.v4i2.2386.
S. R. Wulandari, H. Hamdani, and A. Septiarini, “Sistem Pendukung Keputusan Kesesuaian Lahan Tanaman Padi Menggunakan Metode AHP dan SAW,” JISKA (Jurnal Inform. Sunan Kalijaga), vol. 7, no. 3, pp. 226–236, 2022, doi: 10.14421/jiska.2022.7.3.226-236.
A. D. Budiarto, E. Santoso, and M. A. Akbar, “Sistem rekomendasi pemilihan benih varietas unggul padi menggunakan metode fuzzy analitycal hierarchy process - simple additive weighting,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 3, no. 2, pp. 1160–1166, 2019.
Di. P. U. Samuel Damanik, “Implementasi Metode ROC (Rank Order Centroid) Dan Waspas Dalam Sistem Pendukung Keputusan Pemilihan Kerjasama Vendor,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 1, no. 1, pp. 242–241, 2020.
M. Badaruddin, “Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menerapkan Kombinasi Metode Simple Additive Weighting (SAW) dengan Rank Order Centroid (ROC),” J. Media Inform. Budidarma, vol. 3, no. 4, p. 366, 2019, doi: 10.30865/mib.v3i4.1508.
M. T. As’arie, M. Wati, and B. Cahyono, “Sistem Pendukung Keputusan Penentuan Finalis Dalam Pemilihan Duta Wisata Menggunakan Metode AHP dan TOPSIS (Studi Kasus : Asosiasi Duta Wisata Kab. Kutai Kartanegara),” J. Rekayasa Teknol. Inf., vol. 3, no. 2, p. 187, 2020, doi: 10.30872/jurti.v3i2.4032.
F. Aditiya and M. Mesran, “Sistem Pendukung Keputusan Pemilihan Calon Peserta Cerdas Cermat Tingkat SMA Menerapkan Metode ROC dan WP,” J. Ris. Tek. Inform. dan Data Sci., vol. 1, no. 1, pp. 14–20, 2022.
V. M. M. Siregar et al., “Decision support system for selection of food aid recipients using SAW method,” 2022, p. 030019. doi: 10.1063/5.0094385.
M. Marbun, M. Zarlis, and Z. Nasution, “Analysis of Application of the SAW, WP and TOPSIS Methods in Decision Support System Determining Scholarship Recipients at University,” J. Phys. Conf. Ser., vol. 1830, no. 1, p. 012018, Apr. 2021, doi: 10.1088/1742-6596/1830/1/012018.
N. Sari, “Implementation of the AHP-SAW Method in the Decision Support System for Selecting the Best Tourism Village,” J. Tek. Inform. CIT Medicom, vol. 13, no. 1, pp. 23–32, 2021.
D. Meidelfi, Yulherniwati, F. Sukma, D. Chandra, and A. H. Soleliza Jones, “The implementation of SAW and BORDA method to determine the eligibility of students’ final project topic,” Int. J. Informatics Vis., vol. 5, no. 2, pp. 144–149, 2021, doi: 10.30630/joiv.5.1.447.
N. K. Y. Suartini, I. M. A. Wirawan, and D. G. H. Divayana, “DSS for ‘E-Private’ Using a Combination of AHP and SAW Methods,” IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 13, no. 3, p. 251, 2019, doi: 10.22146/ijccs.46625.
G. Surya, K. Yota, and E. Aryanto, “SPK Penentuan Lokasi ATM Menggunakan Metode AHP dan SAW,” vol. 01, pp. 49–56, 2019.
J. S. A. Siagian, B. Purba, E. W. Ambarsari, and H. Rohayani, “Penerapan Metode Simple Additive Weighting dalam Penentuan Prioritas Program Pembangunan Daerah,” J. Informatics, Electr. Electron. Eng., vol. 3, no. 2, pp. 236–243, 2023, doi: 10.47065/jieee.v3i2.1542.
T. Elizabeth, “Sistem Pendukung Keputusan Pemilihan Asisten Dosen Menggunakan Metode SAW,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 7, no. 1, pp. 71–80, 2020, doi: 10.35957/jatisi.v7i1.221.
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