Decision Support System for Plantation Land Suitability Assessment Using A Combination of AHP (Analytical Hierarchy Process) and Profile Matching Method
DOI:
https://doi.org/10.29240/arcitech.v4i2.11957Keywords:
Decision Support Systems, Agriculture, Plantation, Land Suitability, Profile Matching, Analytic Hierarchy ProcessAbstract
Determining the suitability of plantation land is a crucial factor in enhancing productivity and sustainability in the agricultural sector. However, existing studies often lack comprehensive approaches that integrate both the prioritization of criteria and precise evaluation of land suitability. This study addresses this gap by developing a decision support system (DSS) for plantation land suitability using a combination of the Profile Matching and Analytic Hierarchy Process (AHP) methods. The AHP method is employed to assign weights to various criteria based on their relative importance, while the Profile Matching method evaluates land suitability based on the generated profiles. The results indicate that this integrated approach provides accurate and detailed land suitability recommendations. Specifically, Buket Rata land is suitable for Clove (preference score: 3.821), Oil Palm, and Tea (3.596); Reulet land is suitable for Cocoa (3.22) and Coconut (3.16); Geulanggang Kulam land is suitable for Clove (3.41), Cocoa (3.35), and Oil Palm (3.29); Sawang land is suitable for Clove (3.41), Oil Palm (3.17), and Cocoa (2.99); and Pesisir Laut land is suitable for Sugarcane (3.353) and Clove (3.173). This DSS not only aids decision-makers in optimizing land use and managing sustainable plantations but also contributes to the broader field of agricultural decision-making by demonstrating the effectiveness of combining AHP and Profile Matching methods.
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Bhareti, P., & Panwar, R. K. (2012). Sustainable Crop Production Using Natural Resources. Trends in Biosciences, 5, 161–162.
Budi Setiawan, Maksudi, D. N. (2021). Sistem pendukung keputusan penyesuaian lahan untuk tanaman pangan berdasarkan tanah dengan metode profile matching. JURNAL INTI TALAFA, 13(01), 19–26.
Djaenudin, D., H., M., H., S., & Hidayat, A. (2011). Petunjuk Teknis Evaluasi Lahan untuk Komoditas Pertanian. In Petunjuk Teknis Evaluasi Lahan untuk Komoditas Pertanian.
Hartati, S., & Sitanggang, I. S. (2010). A fuzzy based decision support system for evaluating land suitability and selecting crops. Journal of Computer Science, 6(4), 417–424. https://doi.org/10.3844/jcssp.2010.417.424
Hussain, S., Nasim, W., Mubeen, M., Fahad, S., Tariq, A., Karuppannan, S., Alqadhi, S., Mallick, J., Almohamad, H., & Ghassan Abdo, H. (2024). Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques. Cogent Food and Agriculture, 10(1). https://doi.org/10.1080/23311932.2023.2294540
Kim, K.-H., & Lee, B.-M. (2023). Effects of Climate Change and Drought Tolerance on Maize Growth. Mdpi, 12, 2–18. https://doi.org/https://doi.org/10.3390/plants12203548
Mahendra, G. S., Tampubolon, L. P. D. et al. (2023). Sistem Pendukung Keputusan (Teori dan Penerapannnya Dalam Berbagai Metode). In M. K. Efitra, S.Kom., M.Kom Sepriano (Ed.), SONPEDIA Publishing Indonesia. PT.Sonpedia Publishing Indonesia.
Malczewski, J. (2004). GIS-based land-use suitability analysis: a critical overview. Progress in Planning, 62(8), 3–65. https://doi.org/https://doi.org/10.1016/j.progress.2003.09.002
Mangape, I. R., Maria, E., & Hidayat, N. (2021). Sistem Pendukung Keputusan Pemilihan Lahan Perkebunan Tanaman Lada Menggunakan Metode Simple Addtive Weighting Perbandingan Weighted Product Berbasis Web. Jurnal Rekayasa Teknologi Informasi (JURTI), 5(2), 208. https://doi.org/10.30872/jurti.v5i2.8087
Metkono, D. I., Widiastuti, T., & Fanggidae, A. (2023). Implementasi Sistem Pendukung Keputusan Dalam Penentuan Kesesuain Lahan Untuk Tanaman Jagung Menggunakan Metode Promethee. Jurnal Dialektika Informatika (Detika), 3(2), 41–47. https://doi.org/10.24176/detika.v3i2.10163
Negarawan, A. F., Siregar, M. U., Fatwanto, A., & Wahyudi, M. D. R. (2022). An Implementation of Profile Matching Method to Determine Agricultural Crops that Suit the Land. Proceedings of the International Conference on Science and Engineering (ICSE-UIN-SUKA 2021), 211, 124–129. https://doi.org/10.2991/aer.k.211222.020
Ramadan, R. F., & Firmansyah, A. U. (2023). Perancangan Sistem Pendukung Keputusan Menggunakan Metode Analytic Hierarchy Process (AHP) dalam Menentukan Jenis Tanaman Pangan. Jurnal Teknologi Informatika Dan Komputer, 9(1), 148–159. https://doi.org/10.37012/jtik.v9i1.1349
Sahputra, I., Usnawiah, U., Fhonna, R. P., Siregar, D. S. A., & Angelina, D. (2023). Development of an Intelligent System to Determine Land Suitability for Horticultural Crops on Vegetable Commodities. Brilliance: Research of Artificial Intelligence, 3(2), 235–243. https://doi.org/10.47709/brilliance.v3i2.3100
Sánchez-Bermúdez, M., del Pozo, J. C., & Pernas, M. (2022). Effects of Combined Abiotic Stresses Related to Climate Change on Root Growth in Crops. Frontiers in Plant Science, 13(July). https://doi.org/10.3389/fpls.2022.918537
Simbolon, R. S., & Sihotang, H. T. (2020). Decision Support System for Determination of Land Suitability of Andaliman Plants Using the Profile Matching Method in Merdeka District, Karo Regency. Jurnal Teknik Informatika CIT Medicom, 12(2), 64–71.
Swain, K. P., Nayak, S. R., Ravi, V., Mishra, S., Alahmadi, T. J., Singh, P., & Diwakar, M. (2024). Empowering Crop Selection with Ensemble Learning and K-means Clustering: A Modern Agricultural Perspective. The Open Agriculture Journal, 18(1), 1–14. https://doi.org/10.2174/0118743315291367240207093403
Ullah, A., Bano, A., & Khan, N. (2021). Climate Change and Salinity Effects on Crops and Chemical Communication Between Plants and Plant Growth-Promoting Microorganisms Under Stress. Frontiers in Sustainable Food Systems, 5(June), 1–16. https://doi.org/10.3389/fsufs.2021.618092
Vol, F., Program, M., Sistem, S., Stmik, I., & Rahma, E. (2021). SPK Lahan PM. 19(3), 68–81.
Wolo, P., Mulyana, S., & Wardoyo, R. (2023). Decision Support System for Suitability of Horticultural Agricultural Plant Types with Land Conditions Using Interpolation Profile Matching. JUITA : Jurnal Informatika, 11(1), 133. https://doi.org/10.30595/juita.v11i1.16546
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