Agent-Based Modeling and Simulation for Farmer Decision Making
DOI:
https://doi.org/10.22219/JTIUMM.Vol25.No2.119-130Keywords:
Agent based modelling, Shallot, Farmer, StrategyAbstract
Shallots are a highly demanded, perishable commodity whose fluctuating prices pose significant risks to farmers, affecting their income stability. This research aims to model and simulate the selling decisions of shallot farmers using Agent-Based Modeling (ABM). The model represents the individual behaviors of farmers and buyers, focusing on decisions to either delay or immediately sell harvested shallots. Key variables such as market prices, inventory levels, and profit expectations were incorporated into the model. Primary data were collected from observations of shallot farmers in Nganjuk, East Java. In contrast, secondary data were sourced from the Indonesian Central Statistics Agency (BPS). The simulation results indicate farmers maximize their profits by selling shallots when the minimum sales profit margin reaches 20%. Farmers tend to postpone sales when market prices fall by drying the shallots, reducing market supply, and elevating prices. The study concludes that delaying sales can be an effective strategy to stabilize prices and enhance profitability, particularly when dried shallots command higher prices than fresh ones. These findings offer valuable insights for developing agricultural policies to optimize farmers' income while mitigating price volatility risks.
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A. Hajimirzajan, M. Vahdat, A. Sadegheih, E. Shadkam, and H. El Bilali, "An integrated strategic framework for large-scale crop planning: sustainable climate-smart crop planning and agri-food supply chain management," Sustainable Production and Consumption, vol. 26, pp. 709-732, 2021. https://doi.org/10.1016/j.spc.2020.12.016
S. Hindarti, L. R. Maula, and N. Khoiriyah, "Income Risk and the Decision on Onion Farming," SOCA: Jurnal Sosial Ekonomi Pertanian, vol. 15, no. 1, pp. 202-209, 2021. https://doi.org/10.24843/SOCA.2021.v15.i01.p18
W. Priantika, S. Hardyastuti, and I. Irham, "Efficiency marketing of onion in Bantul Regency," Habitat, vol. 32, no. 1, pp. 11-16, 2021. https://doi.org/10.21776/ub.habitat.2021.032.1.2
V. S. Shankar, G. Velmurugan, R. Prathiba, D. S. Poornima, M. Suvetha, and V. Keerthiga, "Effect of on-farm storage structure on physical and bio-chemical changes in aggregatum onion," Materials Today: Proceedings, vol. 72, pp. 2417-2422, 2023. https://doi.org/10.1016/j.matpr.2022.09.429
M. L. Fadhilah, A. Fariyanti, and R. W. Asmarantaka, "Price Stability and Shallot Market Integration in Central Java," Agrisocionomics: Jurnal Sosial Ekonomi Pertanian, vol. 7, no. 1, pp. 114-125, 2023. https://doi.org/10.14710/agrisocionomics.v7i1.16314
H. Lee, C. Bogner, S. Lee, and T. Koellner, "Crop selection under price and yield fluctuation: Analysis of agro-economic time series from South Korea," Agricultural Systems, vol. 148, pp. 1-11, 2016. https://doi.org/10.1016/j.agsy.2016.06.003
S. Akhtar et al., "Factors influencing hybrid maize farmers' risk attitudes and their perceptions in Punjab Province, Pakistan," Journal of Integrative Agriculture, vol. 17, no. 6, pp. 1454-1462, 2018. https://doi.org/10.1016/S2095-3119(17)61796-9
Y. Yeshiwas, M. Alemayehu, and E. Adgo, "The rise and fall of onion production; its multiple constraints on pre-harvest and post-harvest management issues along the supply chain in northwest Ethiopia," Heliyon, vol. 9, no. 5, 2023. https://doi.org/10.1016/j.heliyon.2023.e15905
L. K. Johnson, J. D. Bloom, R. D. Dunning, C. C. Gunter, M. D. Boyette, and N. G. Creamer, "Farmer harvest decisions and vegetable loss in primary production," Agricultural systems, vol. 176, p. 102672, 2019. https://doi.org/10.1016/j.agsy.2019.102672
Y. J. Mgale and Y. Yunxian, "Price risk perceptions and adoption of management strategies by smallholder rice farmers in Mbeya region, Tanzania," Cogent Food & Agriculture, vol. 7, no. 1, p. 1919370, 2021. https://doi.org/10.1080/23311932.2021.1919370
D. Ahmad, M. Afzal, and A. Rauf, "Analysis of wheat farmers' risk perceptions and attitudes: evidence from Punjab, Pakistan," Natural Hazards, vol. 95, no. 3, pp. 845-861, 2019. https://doi.org/10.1007/s11069-018-3523-5
B. S. Onggo and D. S. Utomo, "Dairy supply chain in west Java: modelling using agent-based simulation and reporting using the stress guidelines," 2021, pp. 295-304: Operational Research Society. https://doi.org/10.36819/SW21.032
A. Marvuglia, A. Bayram, P. Baustert, T. N. Gutiérrez, and E. Igos, "Agent-based modelling to simulate farmers' sustainable decisions: Farmers' interaction and resulting green consciousness evolution," Journal of Cleaner Production, vol. 332, p. 129847, 2022. https://doi.org/10.1016/j.jclepro.2021.129847
D. S. Utomo, B. S. Onggo, and S. Eldridge, "Applications of agent-based modelling and simulation in the agri-food supply chains," European Journal of Operational Research, vol. 269, no. 3, pp. 794-805, 2018. https://doi.org/10.1016/j.ejor.2017.10.041
R. Huber, K. Späti, and R. Finger, "A behavioural agent-based modelling approach for the ex-ante assessment of policies supporting precision agriculture," Ecological Economics, vol. 212, p. 107936, 2023. https://doi.org/10.1016/j.ecolecon.2023.107936
D. Bazzana, J. Foltz, and Y. Zhang, "Impact of climate smart agriculture on food security: An agent-based analysis," Food Policy, vol. 111, p. 102304, 2022. https://doi.org/10.1016/j.foodpol.2022.102304
S. Alexander and P. Block, "Integration of seasonal precipitation forecast information into local-level agricultural decision-making using an agent-based model to support community adaptation," Climate Risk Management, vol. 36, p. 100417, 2022. https://doi.org/10.1016/j.crm.2022.100417
H. Xie et al., "Mapping development potential of dry-season small-scale irrigation in Sub-Saharan African countries under joint biophysical and economic constraints-An agent-based modeling approach with an application to Ethiopia," Agricultural Systems, vol. 186, p. 102987, 2021. https://doi.org/10.1016/j.agsy.2020.102987
U. Sanga, H. Park, C. H. Wagner, S. H. Shah, and A. Ligmann-Zielinska, "How do farmers adapt to agricultural risks in northern India? An agent-based exploration of alternate theories of decision-making," Journal of Environmental Management, vol. 298, p. 113353, 2021. https://doi.org/10.1016/j.jenvman.2021.113353
A. B. Assouto, D. A. Houensou, and G. Semedo, "Price risk and farmers' decisions: A case study from Benin," Scientific African, vol. 8, p. e00311, 2020. https://doi.org/10.1016/j.sciaf.2020.e00311
C. L. Gilbert and C. W. Morgan, "Has food price volatility risen?," 2010, 2010.
H. Fjelde, "Farming or fighting? Agricultural price shocks and civil war in Africa," World Development, vol. 67, pp. 525-534, 2015. https://doi.org/10.1016/j.worlddev.2014.10.032
N. Ghanem, S. Leitner, and D. Jannach, "Balancing consumer and business value of recommender systems: A simulation-based analysis," Electronic Commerce Research and Applications, vol. 55, p. 101195, 2022. https://doi.org/10.1016/j.elerap.2022.101195
J. Costas, J. Puche, B. Ponte, and M. C. Gupta, "An agent-based simulator for quantifying the cost of uncertainty in production systems," Simulation Modelling Practice and Theory, vol. 123, p. 102660, 2023. https://doi.org/10.1016/j.simpat.2022.102660
P. Nasional, "Pusat Informasi Harga Pangan Strategis Nasional," Tabel Harga Berdasarkan Daerah, 2021.
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