Analisis Kualitas Tanah sebagai Faktor Keberhasilan Lahan Pertanian dengan Pendekatan Sistem Pendukung Keputusan
DOI:
https://doi.org/10.55537/spk.v3i1.790Keywords:
lahan pertanian, MAUT, sistem pendukung keputusanAbstract
Penelitian ini difokuskan pada permasalahan utama dalam sektor pertanian, terutama terkait ketidakmerataan hasil panen dan tantangan dalam pemilihan lahan yang sesuai untuk kegiatan pertanian. Tujuan utama penelitian adalah untuk memahami faktor-faktor yang mempengaruhi keberhasilan penanaman benih jagung, kacang kedelai, kacang tanah, dan kacang hijau. Metode penelitian yang diterapkan menggunakan pendekatan Multi Attribute Utility Theory (MAUT) dalam Sistem Pendukung Keputusan (SPK). Tahapan penelitian melibatkan identifikasi masalah, pengumpulan data melalui observasi dan wawancara, serta penerapan langkah-langkah MAUT. Hasil penelitian menunjukkan bahwa dari 10 alternatif lahan pertanian yang dievaluasi, 6 di antaranya dianggap layak untuk budidaya benih (Blok A, Blok C, Blok E, Blok F, Blok H, dan Blok J) berdasarkan nilai akhir yang dihitung dengan menggunakan normalisasi dan perkalian bobot preferensi. Temuan ini memberikan sumbangan penting pada pengembangan ilmu pengetahuan dan penyediaan solusi ilmiah untuk mendukung pengambilan keputusan yang optimal dalam manajemen lahan pertanian. Pendekatan dan metode MAUT yang digunakan dalam penelitian ini dapat diterapkan dengan relevan dalam konteks pengambilan keputusan di sektor pertanian.
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References
D. Jonge, “Natural Capital, Ecosystem Services and Soil Change: Why Soil Science must Embrace an Ecosystems Approach.,” 2012.
E. K. Bünemann et al., “Soil quality – A critical review,” Soil Biol. Biochem., vol. 120, no. February, pp. 105–125, 2018, doi: 10.1016/j.soilbio.2018.01.030.
J. Brilha, M. Gray, D. I. Pereira, and P. Pereira, “Geodiversity: An integrative review as a contribution to the sustainable management of the whole of nature,” Environ. Sci. Policy, vol. 86, no. May, pp. 19–28, 2018, doi: 10.1016/j.envsci.2018.05.001.
B. Taylor, H. Kopnina, and P. Cryer, “Why ecocentrism is the key pathway to sustainability,” vol. 1, no. 1, pp. 35–41, 2017.
J. Chen, J. Li, H. Zhang, W. Shi, and Y. Liu, “Bacterial heavy-metal and antibiotic resistance genes in a copper tailing dam area in northern China,” Front. Microbiol., vol. 10, no. AUG, pp. 1–12, 2019, doi: 10.3389/fmicb.2019.01916.
R. S. Meena et al., “Impact of agrochemicals on soil microbiota and management: A review,” Land, vol. 9, no. 2, 2020, doi: 10.3390/land9020034.
A. Gruber, T. Scanlon, R. Van Der Schalie, W. Wagner, and W. Dorigo, “Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology,” Earth Syst. Sci. Data, vol. 11, no. 2, pp. 717–739, 2019, doi: 10.5194/essd-11-717-2019.
R. C. Wilhelm, R. Singh, L. D. Eltis, and W. W. Mohn, “Bacterial contributions to delignification and lignocellulose degradation in forest soils with metagenomic and quantitative stable isotope probing,” ISME J., vol. 13, no. 2, pp. 413–429, 2019, doi: 10.1038/s41396-018-0279-6.
R. C. Byrnes, D. J. Eastburn, K. W. Tate, and L. M. Roche, “A Global Meta‐Analysis of Grazing Impacts on Soil Health Indicators,” J. Environ. Qual., vol. 47, no. 4, pp. 758–765, 2018, doi: 10.2134/jeq2017.08.0313.
A. Hassani, A. Azapagic, and N. Shokri, “Predicting long-term dynamics of soil salinity and sodicity on a global scale,” Proc. Natl. Acad. Sci. U. S. A., vol. 117, no. 52, pp. 33017–33027, 2020, doi: 10.1073/PNAS.2013771117.
C. Van Leeuwen et al., “An update on the impact of climate change in viticulture and potential adaptations,” Agronomy, vol. 9, no. 9, pp. 1–20, 2019, doi: 10.3390/agronomy9090514.
J. C. Soares, C. S. Santos, S. M. P. Carvalho, M. M. Pintado, and M. W. Vasconcelos, “Preserving the nutritional quality of crop plants under a changing climate: importance and strategies,” Plant Soil, vol. 443, no. 1–2, pp. 1–26, 2019, doi: 10.1007/s11104-019-04229-0.
Y. Li et al., “Humic Acid Fertilizer Improved Soil Properties and Soil Microbial Diversity of Continuous Cropping Peanut: A Three-Year Experiment,” Sci. Rep., vol. 9, no. 1, pp. 1–9, 2019, doi: 10.1038/s41598-019-48620-4.
S. M. Vicente-Serrano, S. M. Quiring, M. Peña-Gallardo, S. Yuan, and F. Domínguez-Castro, “A review of environmental droughts: Increased risk under global warming?,” Earth-Science Rev., vol. 201, 2020, doi: 10.1016/j.earscirev.2019.102953.
C. Pauvert et al., “Bioinformatics matters: The accuracy of plant and soil fungal community data is highly dependent on the metabarcoding pipeline,” Fungal Ecol., vol. 41, pp. 23–33, 2019, doi: 10.1016/j.funeco.2019.03.005.
L. Sabatino, “Increasing sustainability of growing media constituents and stand-alone substrates in soilless culture systems,” Agronomy, vol. 10, no. 9, pp. 1–24, 2020, doi: 10.3390/agronomy10091384.
Z. Boz, V. Korhonen, and C. K. Sand, “Consumer considerations for the implementation of sustainable packaging: A review,” Sustain., vol. 12, no. 6, pp. 1–34, 2020, doi: 10.3390/su12062192.
Y. Qi et al., “Impact of plastic mulch film debris on soil physicochemical and hydrological properties,” Environ. Pollut., vol. 266, p. 115097, 2020, doi: 10.1016/j.envpol.2020.115097.
R. Lal, “Home gardening and urban agriculture for advancing food and nutritional security in response to the COVID-19 pandemic,” Food Secur., vol. 12, no. 4, pp. 871–876, 2020, doi: 10.1007/s12571-020-01058-3.
N. Carolina, “Biochar production and applications in agro and forestry systems : a review College of Energy , Xiamen University , Xiamen , Fujian , China College of Environment and Resources , Zhejiang Agricultural and Forestry University,” 2020.
X. Yang, S. Zhang, M. Ju, and L. Liu, “Preparation and modification of biochar materials and their application in soil remediation,” Appl. Sci., vol. 9, no. 7, 2019, doi: 10.3390/app9071365.
A. Soumare et al., “Exploiting biological nitrogen fixation: A route towards a sustainable agriculture,” Plants, vol. 9, no. 8, pp. 1–22, 2020, doi: 10.3390/plants9081011.
C. Rega, C. Short, M. Pérez-Soba, and M. Luisa Paracchini, “A classification of European agricultural land using an energy-based intensity indicator and detailed crop description,” Landsc. Urban Plan., vol. 198, no. February, 2020, doi: 10.1016/j.landurbplan.2020.103793.
G. E. Roesch-Mcnally et al., “The trouble with cover crops: Farmers’ experiences with overcoming barriers to adoption,” Renew. Agric. Food Syst., vol. 33, no. 4, pp. 322–333, 2018, doi: 10.1017/S1742170517000096.
M. M. Tahat, K. M. Alananbeh, Y. A. Othman, and D. I. Leskovar, “Soil health and sustainable agriculture,” Sustain., vol. 12, no. 12, pp. 1–26, 2020, doi: 10.3390/SU12124859.
J. Hutagalung, A. H. Nasyuha, and T. Pradita, “Sistem Pendukung Keputusan Menentukan Kelayakan Lahan Pembibitan Menggunakan Metode Multi Attribute Utility Theory,” J. Comput. Syst. Informatics, vol. 4, no. 1, pp. 79–87, 2022, doi: 10.47065/josyc.v4i1.2429.
M. D. Irawan, “Sistem Pendukung Keputusan Menentukan Matakuliah Pilihan pada Kurikulum Berbasis KKNI Menggunakan Metode Fuzzy Sugeno,” J. Media Infotama, vol. 13, no. 1, pp. 27–35, 2017, doi: 10.37676/jmi.v13i1.435.
Kadek, Aditama, et al. "Sistem Pendukung Keputusan Untuk Memilih Komputer Berdasarkan Salah Satu Kebutuhan Konsumen Dengan Metode Simple Additive Weighting." Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar 8.1 (2022): 37-42.
Sutrisno, Tri. "Perancangan Sistem Pendukung Keputusan untuk Memudahkan Pemilihan Kedai Kopi." Jurnal Ilmu Komputer dan Sistem Informasi 11.2 (2023).
M. A. Abdullah and R. T. Aldisa, “Pemilihan Auditor Internal dalam Mengimplementasikan Pendekatan Metode Multi Attribute Utility Theory (MAUT) dan Menerapkan Pembobotan Rank Order Centroid (ROC),” JSON J. Sist. Komput. dan Inform., vol. 5, no. 1, pp. 175–184, 2023, doi: 10.30865/json.v5i1.6795.
M. R. Aprillya and U. Chasanah, “Analisis Lahan Pertanian Rawan Banjir Menggunakan Metode Multi Atribut Utility Theory Berbasis Sistem Informasi Geografis,” Inform. Mulawarman J. Ilm. Ilmu Komput., vol. 16, no. 2, p. 148, 2021, doi: 10.30872/jim.v16i2.6554.
A. Bianto and M. R. Aprillya, “Sistem Pendukung Keputusan Identifikasi Daerah Potensi Banjir Dengan Metode Multi Attribute Utility Theory (Studi Kasus: Kabupaten Lamongan) 116 Sistem Pendukung Keputusan Identifikasi Daerah Potensi Banjir Dengan Metode Multi Attribute Utility Theory (St,” pp. 116–124, 2022.
S. D. Bangun, S. Ramadani, and H. Khair, “Sistem Pendukung Keputusan Pemilihan Lahan Pertanian Yang Tepat Untuk Meningkatkan Hasil Panen Cabai Menggunakan Metode Moora,” J. Inform. Kaputama, vol. 4, no. 2, pp. 241–252, 2020, doi: 10.59697/jik.v4i2.337.
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