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December 18, 2023
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September 5, 2024
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Abstract
Paddy cultivation on marginal land is the agribusiness activity. The aim of this research is to assess the feasibility status of paddy cultivation on marginal land and make efforts to optimize based on dynamic modeling system analysis. The research method used is descriptive quantitative with the dynamic modeling system analysis. The results show that the business profitability analysis shows a profit value of IDR 30,486,500, R/C Ratio 2.30, BEP unit 6,316 kg, BEP Sales IDR 15,477,220,-, and returnability 1.30%. This means this business is very profitable. The results of business financial analysis show an NPV IDR 2,536,754,052,-, profitability index 21.36%, IRR 14.21%, and payback period 14.4 years. This means this business is very worthy for development. The results of the dynamic modeling system analysis show that the paddy growth rate is influenced by using technology. Technology will influence rice growth of 3.5-7.0 cm. Nutrients influence the paddy biomass on marginal land. Using 10-20 kg/Ha of fertilizer will affect paddy biomass growth of 35-70 kg/Ha. The results of the dynamic model analysis show that the maximum paddy harvest production on marginal land is 25-50 kg/Ha/month with fertilizer use of 45-90 kg/Ha/month. This research concludes that the level of paddy cultivation feasibility on critical land is still quite feasible and profitable to develop. model analysis results show that of using agricultural technology and administering appropriate fertilizer doses will greatly determine the level of rice productivity on marginal agricultural land.
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Copyright (c) 2024 Farchan Mushaf Al Ramadhani; Heri Ariadi, Ahsarul Mufid, Ari Handriatni, Sajuri, Romaldo da Costa Ximenes
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A Comprehensive Study On The Business Feasibility, And Optimization Model For Paddy Cultivation On Marginal Agricultural Land In Pekalongan District . (2024). Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian Dan Agribisnis, 23(02), 351–372. https://doi.org/10.31186/jagrisep.23.02.351-372
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Ariadi, H., Fadjar, M., & Mahmudi, M. (2019). Financial Feasibility Analysis Of Shrimp Vannamei (Litopenaeus Vannamei) Culture In Intensive Aquaculture System With Low Salinity. Ecsofim. Economic And Social Of Fisheries And Marine Journal, 7(1), 95-108. doi: 10.21776/ub.ecsofim.2019.007.01.08
Ariadi, H., Fadjar, M., & Mahmudi, M. (2019). The Relationships Between Water Quality Parameters And The Growth Rate Of White Shrimp (Litopenaeus Vannamei) In Intensive Ponds. Aquaculture, Aquarium, Conservation & Legislation, 12(6), 2103-2116. Retrieved from https://www.proquest.com/openview/b8d3a7645900d953f12efed91637972f/1?pq-origsite=gscholar&cbl=2046424
Ariadi, H., Wafi, A., & Madusari, B.D. (2021). Dinamika Oksigen Terlarut (Studi Kasus Pada Budidaya Udang). Indramayu: Penerbit ADAB
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Ariadi, H., et al. (2022). Analisa Model Causal Loop Pemanfaatan Keramba Budidaya Ikan Adaptif Dan Potensi Pengembangannya. Jurnal Perikanan Unram, 12(4), 504-512. doi: 10.29303/jp.v12i4.343
Ariadi, H., Madusari, B.D., & Mardhiyana, D. (2022). Analisis Pengaruh Daya Dukung Lingkungan Budidaya Terhadap Laju Pertumbuhan Udang Vaname (L. vannamei). EnviroScienteae, 18(1), 29-37. doi: 10.20527/es.v18i1.12976
Ariadi, H., et al. (2022). Fluctuation Effect Of Dissolved Of TAN (Total Ammonia Nitrogen) On Diatom Abundance In Intensive Shrimp Culture Ponds. IOP Conference Series: Earth and Environmental Science, 1118 (1), 012001. doi: 10.1088/1755-1315/1118/1/012001
Ariadi, H., et al. (2022). Peluang Pengembangan Produksi Perikanan Tangkap Di Wilayah Kabupaten Tegal Dan Pekalongan Pada Masa Mendatang. AGROMIX, 13(2), 152-158. doi: 10.35891/agx.v13i2.2922
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Birthal, P. S., et al. (2022). Assessing Benefits Of Crop Insurance Vis-A-Vis Irrigation In Indian Agriculture. Food Policy, 112(1), 102348. doi: 10.1016/j.foodpol.2022.102348
Cerbule, K., et al. (2023). Increasing Sustainability In Food Production By Using Alternative Bait In Snow Crab (Chionoecetes opilio) Fishery In The Barents Sea. Heliyon, 9(1), 13820. doi: 10.1016/j.heliyon.2023.e13820
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Han, J., et al. (2023). Annual Paddy Rice Planting Area And Cropping Intensity Datasets And Their Dynamics In The Asian Monsoon Region From 2000 To 2020. Agricultural Systems, 103437. doi: 10.1016/j.agsy.2022.103437
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Birthal, P. S., et al. (2022). Assessing Benefits Of Crop Insurance Vis-A-Vis Irrigation In Indian Agriculture. Food Policy, 112(1), 102348. doi: 10.1016/j.foodpol.2022.102348
Cerbule, K., et al. (2023). Increasing Sustainability In Food Production By Using Alternative Bait In Snow Crab (Chionoecetes opilio) Fishery In The Barents Sea. Heliyon, 9(1), 13820. doi: 10.1016/j.heliyon.2023.e13820
Chaudhary, B., & Kumar, V. (2022). Emerging Technological Frameworks For The Sustainable Agriculture And Environmental Management. Sustainable Horizons, 3(1) 10-26. doi: 10.1016/j.horiz.2022.100026
Chen, L., et al. (2023). The Potential Capability Of Substituting Chemical Fertilizers With Crop Straw And Human-Livestock-Poultry Manure In Areas With Different Topographic Characteristics. Heliyon, 9(2), 18845. doi: 10.1016/j.heliyon.2023.e18845
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Edwards, W. M. (2017). How Much Is That Farm Really Worth—A Comparison Of Three Land Purchase Decision Tools. Journal of Applied Farm Economics, 1(1), 1-13. doi: 10.7771/2331-9151.1007
Gandhi, P., Jannah, D. M., & Nurkaidah, D. (2023). Priority Efforts To Increase Income Of Agribusiness Companies In West Bandung, West Java, Indonesia. AGRICOLA, 13(2), 59-69. doi: 10.35724/ag.v13i2.5447
Gao, M., et al. (2022). Emergy Evaluation Of Positive And Negative Benefits Of Agricultural Water Use Based On Energy Analysis Of Water Cycle. Ecological Indicators, 139(2), 108914. doi: 10.1016/j.ecolind.2022.108914
Han, J., et al. (2023). Annual Paddy Rice Planting Area And Cropping Intensity Datasets And Their Dynamics In The Asian Monsoon Region From 2000 To 2020. Agricultural Systems, 103437. doi: 10.1016/j.agsy.2022.103437
Hatta, M., et al. (2023). Food Self-Sufficiency: Managing The Newly-Opened Tidal Paddy Fields For Rice Farming In Indonesia (A Case Study In West Kalimantan, Indonesia). Heliyon, 9(3), 27-40. doi: 10.1016/j.heliyon.2023.e13839
Hosseinpour, N., Kazemani, F., & Mahdizadeh, H. (2022). A Cost-Benefit Analysis Of Applying Urban Agriculture In Sustainable Park Design. Land Use Policy, 112(1), 105834. doi: 10.1016/j.landusepol.2021.105834
Hsu, E. (2022). Cost-Benefit Analysis For Recycling Of Agricultural Wastes In Taiwan. Waste Management, 120(1), 424-432. doi: 10.1016/j.wasman.2020.09.051
Huang, P., et al. (2023). Projected High-Resolution Eto Spatiotemporal Variation Under Future Climate Change And Paddy Area Expansion In The Sanjiang Plain, Northeast China. Journal Of Hydrologi Regional Studies, 50(1), 101574. doi: 10.1016/J.Ejrh.2023.101574
Jing, X. W., & Zhang, M. (2023). Assessment On High-Quality Development Of Guizhou's Agricultural Economy Based On Hesitant Fuzzy Linguistic Term Sets. Procedia Computer Science, 221(1), 593-600. doi: 10.1016/j.procs.2023.08.027
Junior, A. P. B., Flixkinger, D.L., Henry-Silva, G. G. (2021). Sedimentation Rates Of Nutrients And Particulate Material In Pond Mariculture Of Shrimp (Litopenaeus Vannamei) Carried Out With Different Management Strategies. Aquaculture, 534(2), 73-90. doi: 10.1016/J.Aquaculture.2020.736307
Kanthilanka, H., et al. (2023). Optimal Nitrogen Fertilizer Decisions For Rice Farming In A Cascaded Tank System In Sri Lanka: An Analysis Using An Integrated Crop, Hydro-Nutrient And Economic Model. Agricultural Systems, 207(1), 1-13. doi: 10.1016/j.agsy.2023.103628
Kementerian Kelautan Perikanan (KKP). (2021). Produksi Budi Daya Udang Di Indonesia. Jakarta: Kementerian Kelautan dan Perikanan. Retrieved from https://statistik.kkp.go.id/home.php?m=prod_ikan_prov
Koffi, Y.P., et al. (2023). Contribution Of Landsat Imagery To Map Vulnerable Areas To Seawater Intrusion Along The Mt.-Cameroon Coastal Area Using Lineaments Pattern. Journal Of African Earth Sciences, 204(1), 2047-2060. doi: 10.1016/j.jafrearsci.2023.104937
Li, T., et al. (2021). Effects Of An Ex Situ Shrimp-Rice Aquaponic System On The Water Quality Of Aquaculture Ponds In The Pearl River Estuary, China. Aquaculture, 545(1), 1-9. doi: 10.1016/j.aquaculture.2021.737179
Li, X., et al. (2022). Developing An Agricultural Water Pricing Model Considering Both Physical And Virtual Water: A Case Study Of An Irrigation District In China. Journal Of Cleaner Production, 368(1), 133043. doi: 10.1016/j.jclepro.2022.133043
Li, X., et al. (2023). Formulation, Performance And Environmental/Agricultural Benefit Analysis Of Biomass-Based Biodegradable Mulch Films: A Review. European Polymer Journal, 203(1), 112663. doi: 10.1016/j.eurpolymj.2023.112663
Liu, B., et al. (2022). Quantifying The Effects Of Advection On Single Crop Coefficients Over A Humid Paddy Field For Sustainable Irrigation. Journal Of Hydrology, 614(9), 128552. doi: 10.1016/j.jhydrol.2022.128552
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