Optimization of Rice and Corn Land in East Java Using Linear Programming
DOI:
https://doi.org/10.33506/mt.v12i1.5104Keywords:
Corn, Linear Programming, Optimization, Rice, LaborAbstract
This study aims to determine the optimal allocation of planting areas for rice (X₁) and corn (X₂) in order to maximize agricultural profit in East Java Province. The agricultural sector in this region faces significant limitations in key resources, particularly land, fertilizer, and labor, which necessitate efficient and quantitatively grounded management strategies. This study employs a Linear Programming approach using the graphical method, based on a mathematical model developed from simulated data representing regional agricultural conditions. The results indicate that the optimal land allocation consists of 60 hectares for rice and 40 hectares for corn, generating a maximum profit of IDR 1,300,000,000. The constraint analysis reveals that land and fertilizer constraints act as binding constraints at the optimal solution, while the labor constraint is non-binding. This finding implies that further profit improvements cannot be achieved by increasing labor input, but rather by expanding or optimizing land use and fertilizer availability. Overall, this study provides a clear analytical framework to support decision-makers in formulating more efficient land allocation policies and improving agricultural productivity through optimal resource utilization
References
A Kristina, M. A. J. (2024). Be Careful!: Justification of work safety culture for elderly siwalan farmers. BIO Web of Conferences.
Bhatia, M. (2020). Linear Programming Approach- Application in Agriculture.
Bikle, D., & Christakos, S. (2020). New aspects of vitamin D metabolism and action — addressing the skin as source and target. Nature Reviews Endocrinology, 16(4), 234–252. https://doi.org/10.1038/s41574-019-0312-5
BPS, B. P. S. (2025). Luas Panen dan Produksi Padi di Provinsi Jawa Timur 2024 (Angka Tetap). https://jatim.bps.go.id/id/pressrelease/2025/03/03/1482/luas-panen-dan-produksi-padi-di-provinsi-jawa-timur-2024--angka-tetap-.html
Dahal, B., Kimmerer, C., & Hailu, G. (2024). Chapter 8 - Value added to agricultural commodities (R. Y. Yada, R. Van Acker, M. Scanlon, & D. B. T.-F. F. S. Gray (eds.); pp. 89–107). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-443-15690-8.00010-2
Das, B., Singh, A., Panda, S. N., & Yasuda, H. (2015). Optimal land and water resources allocation policies for sustainable irrigated agriculture. Land Use Policy, 42, 527–537. https://doi.org/https://doi.org/10.1016/j.landusepol.2014.09.012
Fabiani, V. A., Indah, F., Sari, P., & Asriza, R. O. (2020). PENINGKATAN KUALITAS PUPUK KOMPOS DARI LIMBAH RUMAH TANGGA MENGGUNAKAN STIMULATOR EM4 PADA KELOMPOK SWADAYA. 4(November), 504–508.
Gürçam, I. M., & Sökmen, Ö. (2022). The Role of Agricultural Sector in Food Security and Poverty Alleviation in Indonesia and Turkey. Asian Journal of Agricultural Extension, Economics & Sociology, 40(11 SE-Original Research Article), 430–436. https://doi.org/10.9734/ajaees/2022/v40i111728
Hernando, R. D., & Jumali, M. A. (2025). ANALISIS PENJADWALAN PROYEK PEMINDAHAN PENATAAN SELECTIVE RACKING DI GUDANG LOGISTIK MENGGUNAKAN CPM-PERT. Jurnal Bisnis, Logistik Dan Supply Chain (BLOGCHAIN), 5(2 SE-Articles), 44–50. https://doi.org/10.55122/blogchain.v5i2.1848
Li, T., Chen, W., Liu, F., Yao, H., Huo, Q., Zhang, W., Yin, P., Feng, D., Yuan, J., Wang, X., & Kong, F. (2023). Benefits through Innovative Cropping Patterns in the Hilly Regions of Southwest China: An Integrated Assessment of Emergy and Economic Returns. In Agronomy (Vol. 13, Issue 10, p. 2640). https://doi.org/10.3390/agronomy13102640
Morão, H. (2025). The economic consequences of fertilizer supply shocks. Food Policy, 133, 102835. https://doi.org/https://doi.org/10.1016/j.foodpol.2025.102835
Pawlak, K., & Kołodziejczak, M. (2020). The Role of Agriculture in Ensuring Food Security in Developing Countries: Considerations in the Context of the Problem of Sustainable Food Production. In Sustainability (Vol. 12, Issue 13, p. 5488). https://doi.org/10.3390/su12135488
Qiraati, M., Rafdi, M., & Sunarti, I. (2025). Impact of Agricultural Land Changes to Industrial Area in Sumberjaya District, Majalengka. Jurnal Perencanaan Wilayah Dan Kota, 20, 116–128. https://doi.org/10.29313/jpwk.v20i2.4785
Rathi, P., Gupta, S., & Srivastav, D. S. (2024). Linear Programming Approach: Optimization of Profit and Land Resource.
Rofiq, A., Syafaat, R., & Afandhi, A. (2025). Enhancing Sustainable Agricultural Land Protection Through Community Engagement : A Case Study of Malang Regency , Indonesia. 36(December), 211–223. https://doi.org/10.21776/ub.habitat.2025.036.3.17
Singh, B. J., Chakraborty, A., & Sehgal, R. (2023). A systematic review of industrial wastewater management: Evaluating challenges and enablers. Journal of Environmental Management, 348, 119230. https://doi.org/https://doi.org/10.1016/j.jenvman.2023.119230
Suh, D. H., & Moss, C. B. (2021). Examining the Input and Output Linkages in Agricultural Production Systems. In Agriculture (Vol. 11, Issue 1, p. 54). https://doi.org/10.3390/agriculture11010054
Verona, L., Diana, N. E., & Djajadi, D. (2021). Analisis Tanggapan Petani terhadap Introduksi Varietas Unggul Baru Tembakau Madura. Buletin Tanaman Tembakau, Serat Dan Minyak Industri, 1, 26–35. https://doi.org/10.21082/btsm.v13n1.2021.%p
Zhang, Z., Ghazali, S., Miceikienė, A., Zejak, D., Choobchian, S., Pietrzykowski, M., & Azadi, H. (2023). Socio-economic impacts of agricultural land conversion: A meta-analysis. Land Use Policy, 132, 106831. https://doi.org/https://doi.org/10.1016/j.landusepol.2023.106831
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