Optimizing Crop Selection: A Multi-Criteria Decision Support System for Sustainable Agriculture
Keywords:
Decision Support System, Crop Selection, Data-driven Agricultural Practices, Multi-Criteria Decision Making, Sustainability in AgricultureAbstract
This research endeavors to revolutionize agricultural decision-making through the development and application of a robust Decision Support System (DSS) employing the Multi-Criteria Decision Making (MCDM) method. Recognizing the complexities inherent in crop selection, the study aims to bridge the gap between traditional manual methodologies and the need for a more comprehensive, objective, and data-driven approach. The research foundation rests on the understanding that crop selection is a multifaceted process influenced by diverse and interrelated factors. Leveraging technology and structured methodologies, the developed DSS offers a systematic and holistic evaluation of potential crops by integrating various criteria such as climate suitability, market demand, soil fertility, and sustainability metrics. The system's ability to consider multiple criteria simultaneously surpasses conventional single-factor approaches, providing stakeholders with a nuanced and comprehensive perspective. While demonstrating strengths in comprehensive evaluation and objectivity, the research also identifies areas for improvement. The dependency on data quality and quantity emerges as a limitation, urging the need for enhanced data sourcing and refinement. Additionally, further development in handling intricate trade-offs and improving user accessibility could bolster the system's applicability and acceptance within agricultural practices. The practical implications of this research reverberate across the agricultural domain.
References
Ashley, R. M., Blackwood, D., & Jowitt, P. (2004). Sustainable water services. IWA publishing.
Basu, A., Prasad, P., Das, S. N., Kalam, S., Sayyed, R. Z., Reddy, M. S., & El Enshasy, H. (2021). Plant growth promoting rhizobacteria (PGPR) as green bioinoculants: recent developments, constraints, and prospects. Sustainability, 13(3), 1140.
Bawayelaazaa Nyuor, A., Donkor, E., Aidoo, R., Saaka Buah, S., Naab, J. B., Nutsugah, S. K., Bayala, J., & Zougmoré, R. (2016). Economic impacts of climate change on cereal production: implications for sustainable agriculture in Northern Ghana. Sustainability, 8(8), 724.
Carof, M., Colomb, B., & Aveline, A. (2013). A guide for choosing the most appropriate method for multi-criteria assessment of agricultural systems according to decision-makers’ expectations. Agricultural Systems, 115, 51–62.
Chenhall, R. H., & Langfield-Smith, K. (1998). The relationship between strategic priorities, management techniques and management accounting: an empirical investigation using a systems approach. Accounting, Organizations and Society, 23(3), 243–264.
Chowdhury, P., & Paul, S. K. (2020). Applications of MCDM methods in research on corporate sustainability: A systematic literature review. Management of Environmental Quality: An International Journal, 31(2), 385–405.
Curley, K. F., & Gremillion, L. L. (1983). The role of the champion in DSS implementation. Information & Management, 6(4), 203–209.
Eisen, L., & Eisen, R. J. (2011). Using geographic information systems and decision support systems for the prediction, prevention, and control of vector-borne diseases. Annual Review of Entomology, 56, 41–61.
Fink, A. (2019). Conducting research literature reviews: From the internet to paper. Sage publications.
Gray, D. E. (2021). Doing research in the real world. Doing Research in the Real World, 1–100.
Jansen, A. C. M., van Aalst-Cohen, E. S., Hutten, B. A., Büller, H. R., Kastelein, J. J. P., & Prins, M. H. (2005). Guidelines were developed for data collection from medical records for use in retrospective analyses. Journal of Clinical Epidemiology, 58(3), 269–274.
Jones, D., & Barnes, E. M. (2000). Fuzzy composite programming to combine remote sensing and crop models for decision support in precision crop management. Agricultural Systems, 65(3), 137–158.
Kanter, D. R., Musumba, M., Wood, S. L. R., Palm, C., Antle, J., Balvanera, P., Dale, V. H., Havlik, P., Kline, K. L., & Scholes, R. J. (2018). Evaluating agricultural trade-offs in the age of sustainable development. Agricultural Systems, 163, 73–88.
Louviere, J. J., Meyer, R. J., Bunch, D. S., Carson, R., Dellaert, B., Hanemann, W. M., Hensher, D., & Irwin, J. (1999). Combining sources of preference data for modeling complex decision processes. Marketing Letters, 10, 205–217.
Luengo, J., García-Gil, D., Ramírez-Gallego, S., García, S., & Herrera, F. (2020). Big data preprocessing. Cham: Springer.
McCown, R. L. (2002). Changing systems for supporting farmers’ decisions: problems, paradigms, and prospects. Agricultural Systems, 74(1), 179–220.
Mehdi, B., Lehner, B., & Ludwig, R. (2018). Modelling crop land use change derived from influencing factors selected and ranked by farmers in North temperate agricultural regions. Science of the Total Environment, 631, 407–420.
Ng, T. L., Eheart, J. W., Cai, X., & Braden, J. B. (2011). An agent‐based model of farmer decision‐making and water quality impacts at the watershed scale under markets for carbon allowances and a second‐generation biofuel crop. Water Resources Research, 47(9).
Ragot, M., Bonierbale, M. W., & Weltzien, E. (2018). From market demand to breeding decisions: a framework.
Razmak, J., & Aouni, B. (2015). Decision support system and multi‐criteria decision aid: a state of the art and perspectives. Journal of Multi‐Criteria Decision Analysis, 22(1–2), 101–117.
Rigby, D., Woodhouse, P., Young, T., & Burton, M. (2001). Constructing a farm level indicator of sustainable agricultural practice. Ecological Economics, 39(3), 463–478.
Sadok, W., Angevin, F., Bergez, J.-E., Bockstaller, C., Colomb, B., Guichard, L., Reau, R., & Doré, T. (2008). Ex ante assessment of the sustainability of alternative cropping systems: implications for using multi-criteria decision-aid methods. A review. Agronomy for Sustainable Development, 28, 163–174.
Sharifi, A. (2016). A critical review of selected tools for assessing community resilience. Ecological Indicators, 69, 629–647.
Sousa, M., Almeida, M. F., & Calili, R. (2021). Multiple criteria decision making for the achievement of the UN sustainable development goals: A systematic literature review and a research agenda. Sustainability, 13(8), 4129.
Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1–29.
Sihotang, J. (2019). Implementation of Gray Level Transformation Method for Sharping 2D Images. INFOKUM, 8(1, Desembe), 16-19.
Sihotang, J. (2020). Analysis of service satisfaction level using rough set algorithm. Infokum, 8(2, Juni), 55-56.
Sihotang, J. (2020). Analysis Of Shortest Path Determination By Utilizing Breadth First Search Algorithm. Jurnal Info Sains: Informatika dan Sains, 10(2), 1-5.
Sihotang, J., Panjaitan, E. S., & Yunis, R. (2020). Evaluation of Information Technology Governance by Using CobIT 5
Framework at Higher Education. Jurnal Mantik, 4(3), 2194-2203.
Amri, S., & Sihotang, J. (2023). Impact of Poverty Reduction Programs on Healthcare Access in Remote Ar-eas: Fostering
Community Development for Sustainable Health. Law and Economics, 17(3), 170-185.
Sihotang, J., Alesha, A., Batubara, J., Gorat, S. E., & Panjaitan, F. S. (2022). A hybrid approach for adaptive fuzzy network
partitioning and rule generation using rough set theory: Improving data-driven decision making through accurate and interpretable rules. International Journal of Enterprise Modelling, 16(1), 12-22.
Sihotang, J. (2023). Optimization of Inventory Ordering Decision in Retail Business using Exponential Smoothing
Approach and Decision Support System. International Journal of Mechanical Computational and Manufacturing Research, 12(2), 46-52.
Sihotang, J. (2023). Analysis Of the Differences in The Use of Zoom and Google Meet in Learning at Putra Abadi Langkat University. Instal: Jurnal Komputer, 15(02), 474-479.
Vinsensia, D., Amri, S., Sihotang, J., & Sihotang, H. T. (2024). New Method for Identification and Response to Infectious Disease Patterns Based on Comprehensive Health Service Data. MATRIK: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, 23(3), 581-590.
Sihotang, H. T., Riandari, F., & Sihotang, J. (2024). Graph-based Exploration for Mining and Optimization of Yields (GEMOY Method). Jurnal Teknik Informatika CIT Medicom, 16(2), 70-81.
Sihotang, J., Amri, S., & Vinsensia, D. (2024). Exploring the intersection of HIV/AIDS knowledge and rapid testing attitudes in higher education: A student perspective. Community Service and Applied Research, 1(1), 18-29.
Sihotang, J., & Manalu, A. (2024). Strategi Pengawasan Orang Tua dalam Mengelola Waktu Bermain Gadget Anak di Desa Pancurbatu. Jurnal Pengabdian Masyarakat Nauli, 2(2), 65-72.
Simbolon, R., Sihotang, W., & Sihotang, J. (2024). Tapping Ocean Potential: Strategies for integrating tidal and wave energy into national power grids. GEMOY: Green Energy Management and Optimization Yields, 1(1), 49-65.
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Copyright (c) 2024 Muhammad Indra Gunawan, Joni Wilson Sitopu, Gamar Sechan, Indra Gunawan
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