TINJAUAN SISTEMATIS PRISMA

KONVERSI SAWAH MENGANCAM NERACA KETERSEDIAAN BERAS DI SUATU WILAYAH

Authors

DOI:

https://doi.org/10.21776/ub.jtsl.2025.012.2.11

Keywords:

Food Self-Sufficiency, Land Conversion, PRISMA, Rice, Rice Fields

Abstract

Food is a basic human need and a fundamental right for every individual, with rice serving as one of the primary carbohydrate sources for more than half of the world's population. However, population growth and shifts in human values have led to the conversion of rice fields into urban areas, significantly impacting rice production and global rice availability. This literature review employed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method to conduct a systematic review of relevant literature. Out of an initial total of 186 articles retrieved, 38 articles met the criteria for in-depth analysis. The analysis revealed that research on land-use changes over the past decade tended to discuss the conversion of rice fields separately from aspects of rice self-sufficiency. However, these two issues were interconnected and shared a deep relationship. The conversion of rice fields continued to occur massively and often uncontrollably across nearly all regions of the world, potentially threatening the balance of rice availability in the future. Through this literature review, the authors aimed to integrate various perspectives to illustrate the causal relationship between the carrying capacity of rice fields and efforts toward food self-sufficiency. As an agrarian nation, policies promoting regional rice self-sufficiency could be considered as an alternative approach to achieving future food security standards, based on the principle that each region should be able to meet its rice needs independently. Therefore, in-depth analysis is necessary to formulate appropriate strategies so that land-use changes remain well-monitored while future food needs are guaranteed.

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References

Ahmed, N., & Turchini, G. M. (2021a). The evolution of the blue-green revolution of rice-fish cultivation for sustainable food production. In Sustainability Science (Vol. 16, Issue 4, pp. 1375–1390). Springer Japan. https://doi.org/10.1007/s11625-021-00924-z

Ahmed, N., & Turchini, G. M. (2021b). The evolution of the blue-green revolution of rice-fish cultivation for sustainable food production. Sustainability Science. https://doi.org/10.1007/s11625-021-00924-z

Ait El Haj, F., Ouadif, L., & Akhssas, A. (2023). Simulating and predicting future land-use/land cover trends using CA- Markov and LCM models. Case Studies in Chemical and Environmental Engineering, 7. https://doi.org/10.1016/j.cscee.2023.100342

Aktar, S. L., Islam, M., & Haque, A. (2024). Predicting the spatiotemporal changes of an agriculturally vulnerable region of Bangladesh. Applied Geomatics. https://doi.org/10.1007/s12518-024-00595-2

Alikhanov, B., Pulatov, B., & Samiev, L. (2024). The Detection of Past and Future Land Use and Land Cover Change in Ugam Chatkal National Park, Uzbekistan, Using CA-Markov and Random Forest Machine Learning Algorithms. Forum Geografi, 38(2), 121–137. https://doi.org/10.23917/FORGEO.V38I2.4221

Ayalew, S. E., & Nigussie, T. A. (2023). Historical and projected land-use / land cover changes of the Welmel River Watershed, Genale Dawa Basin, Ethiopia. Journal of Water and Land Development, 58, 89–98. https://doi.org/10.24425/jwld.2023.146601

Baig, M. F., Mustafa, M. R. U., Baig, I., Takaijudin, H. B., & Zeshan, M. T. (2022). Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia. Water (Switzerland), 14(3). https://doi.org/10.3390/w14030402

Dumdumaya, C. E., & Cabrera, J. S. (2023). Determination of future land use changes using remote sensing imagery and artificial neural network algorithm: A case study of Davao City, Philippines. Artificial Intelligence in Geosciences, 4, 111–118. https://doi.org/10.1016/j.aiig.2023.08.002

Entahabu, H. H., Minale, A. S., & Birhane, E. (2023). Modeling and Predicting Land Use/Land Cover Change Using the Land Change Modeler in the Suluh River Basin, Northern Highlands of Ethiopia. Sustainability (Switzerland), 15(10). https://doi.org/10.3390/su15108202

Fahri, A., Kolopaking, L. M., Dedi, D., & Hakim, B. (2014). Laju Konversi Lahan Sawah Menjadi Perkebunan Sawit Dan Faktor-Faktor Yang Mempengaruhinya Serta Dampaknya Terhadap Produksi Padi Di Kabupaten Kampar, Riau. In Jurnal Pengkajian dan Pengembangan Teknologi Pertanian (Vol. 17, Issue 1).

Gilbert, K. M., & Shi, Y. (2024). Urban Growth Monitoring and Prediction Using Remote Sensing Urban Monitoring Indices Approach and Integrating CA-Markov Model: A Case Study of Lagos City, Nigeria. Sustainability (Switzerland), 16(1). https://doi.org/10.3390/su16010030

Hasan, N. A., Yang, D., & Al-Shibli, F. (2023). A Historical–Projected Analysis in Land Use/Land Cover in Developing Arid Region Using Spatial Differences and Its Relation to the Climate. Sustainability (Switzerland), 15(3). https://doi.org/10.3390/su15032821

Islam, M. Y., Nasher, N. M. R., Karim, K. H. R., & Rashid, K. J. (2023). Quantifying forest land-use changes using remote-sensing and CA-ANN model of Madhupur Sal Forests, Bangladesh. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e15617

Jiang, L., Wu, S., Liu, Y., & Yang, C. (2021). Grain security assessment in Bangladesh based on supply-demand balance analysis. PLoS ONE, 16(5 May). https://doi.org/10.1371/journal.pone.0252187

Madhusudhan, M. S., Shivapur, A. V, & Surendra, H. J. (2024). Forecasting Land Use and Land Cover Changes in the Malaprabha Right Bank Canal Command Area through Cellular Automata and Markov Chain Modeling. Ecological Engineering and Environmental Technology, 25(6), 54–65. https://doi.org/10.12912/27197050/186598

Manjarrez-Domínguez, C., Uc-Campos, M. I., Esparza-Vela, M. E., Baray-Guerrero, M. D. R., Giner-Chávez, O., & Santellano-Estrada, E. (2023). Geospatial-Temporal Dynamics of Land Use in the Juárez Valley: Urbanization and Displacement of Agriculture. Sustainability (Switzerland), 15(11). https://doi.org/10.3390/su15118499

Mishra, V., & Mishra, M. P. (2023). Prisma For Review Of Management Literature Method, Merits, And Limitations – An Academic Review. In Review of Management Literature (Vol. 2, pp. 125–136). Emerald Publishing. https://doi.org/10.1108/S2754-586520230000002007

Molla, M. B., Gelebo, G., & Girma, G. (2024). Urban expansion and agricultural land loss: a GIS-Based analysis and policy implications in Hawassa city, Ethiopia. Frontiers in Environmental Science, 12. https://doi.org/10.3389/fenvs.2024.1499804

Muhammad, M., Liyantono, Setiawan, Y., & Fatikhunnada, A. (2016). Analysis of the Dynamics Pattern of Paddy Field Utilization Using MODIS Image in East Java. Procedia Environmental Sciences, 33, 44–53. https://doi.org/10.1016/j.proenv.2016.03.055

Munibah, K., Ambarwulan, W., Studi Pengelolaan Sumberdaya Alam dan Lingkungan, P., Pascasarjana, S., Sain dan Teknologi, F., Purwokerto, U., & Badan Riset dan Inovasi Nasional, P. (2024). Kebijakan Menuju Kemandirian Beras Di Kabupaten Banyumas Jawa Tengah. Risalah Kebijakan Pertanian Dan Lingkungan, 11(1), 33–45.

Oort, P. A. J. Van, Saito, K., Tanaka, A., Amovin-Assagba, E., & ... (2015). Assessment of rice self-sufficiency in 2025 in eight African countries Food Security. https://www.sciencedirect.com/science/article/pii/S2211912415000036

Park, M., Lee, J., & Won, J. (2024). Navigating Urban Sustainability: Urban Planning and the Predictive Analysis of Busan’s Green Area Dynamics Using the CA-ANN Model. Forests, 15(10). https://doi.org/10.3390/f15101681

R. Destianto, & Bitta Pigawati. (2014). Analisis Keterkaitan Perubahan Lahan Pertanian terhadap Ketahanan Pangan Kabupaten Magelang berbasis Model Spatio Temporal SIG. Geoplanning Volume I, No.1, 21–32.

Reina Kasih Siregar. (2018). Analisis Faktor-Faktor yang Mempengaruhi Impor Beras di Indonesia [Institut Agama Islam Negeri Padasidimpuan]. https://etd.uinsyahada.ac.id/1424/1/14%20402%2000035.pdf

Sabarelia. (2024). Konsumsi Pangan. Buletin Konsumsi Pangan, Vol 15 No 1.

Said, M., Hyandye, C., Komakech, H. C., Mjemah, I. C., & Munishi, L. K. (2021). Predicting land use/cover changes and its association to agricultural production on the slopes of Mount Kilimanjaro, Tanzania. Annals of GIS, 27(2), 189–209. https://doi.org/10.1080/19475683.2020.1871406

Saputra, R., Tjahjono, B., & Pravitasari, A. E. (2022). Analisis Kemandirian Pangan Berbasis Perubahan Penggunaan Lahan di Kota Metro, Provinsi Lampung. Jurnal Pembangunan Wilayah Dan Kota, 18(4), 336–350. https://doi.org/10.14710/pwk.v18i4.38728

Setiadi, H., Dimyati, M., Rizqihandari, N., Restuti, R. C., Indratmoko, S., & Handayani, T. (2021). Paddy Field Conversion In Indonesia In A Contemporary Geographic Perspective: A Conceptual Overview Of Human-Nature Dialectics. Jurnal Geografi, 13(2), 195–210. http://jurnal.unimed.ac.id/2012/index.php/geohttp://jurnal.unimed.ac.id/2012/index.php/geo

Setiartiti, L. (2021). Critical Point of View: The Challenges of Agricultural Sector on Governance and Food Security in Indonesia. E3S Web of Conferences, 232. https://doi.org/10.1051/e3sconf/202123201034

Siti Syamsiar. (2013). Produksi Beras dan Ketersediaan Sumber Daya Lahan Pertanian dalam rangka memperkuat Kemandirian Pangan di Provinsi DIY. SEPA : Vol. 9, 183–189.

Susanto, S., & Suhono, A. H. B. (2019). An analysis of irrigated paddy land contribution to maintain regional self sufficiency of food (rice) at Bantul regency of the special province of Yogyakarta. IOP Conference Series: Earth and Environmental Science, 355(1). https://doi.org/10.1088/1755-1315/355/1/012016

Vaggela, A., Sanapala, H., & Mokka, J. R. (2022). Monitoring Land Use and Land Cover Changes Prospects Using Remote Sensing and GIS for Mahanadi River Delta, Orissa, India. Geoplanning, 9(1), 47–60. https://doi.org/10.14710/geoplanning.9.1.47-60

Valero Medina, J. A., & Alzate Atehortúa, B. E. (2019). Comparison of maximum likelihood, support vector machines, and random forest techniques in satellite images classification. Tecnura, 23(59), 13–26. https://doi.org/10.14483/22487638.14826

Wang, Q., Guan, Q., Lin, J., Luo, H., Tan, Z., & Ma, Y. (2021). Simulating land use/land cover change in an arid region with the coupling models. Ecological Indicators, 122. https://doi.org/10.1016/j.ecolind.2020.107231

Yaghoobi, M., Vafaeenejad, A., Moradi, H., & Hashemi, H. (2022). Analysis of Landscape Composition and Configuration Based on LULC Change Modeling. Sustainability (Switzerland), 14(20). https://doi.org/10.3390/su142013070

Yohanne, L. G. R., Papalexiou, S. M., Li, Y., & ... (2024). Crop models and their use in assessing crop production and food security: A review. … Energy Security. https://search.proquest.com/openview/37811bf4fe7bb316ec107e7bbb610c1c/1?pq-origsite=gscholar&cbl=2032546

Yunaz Fordhani, & Brojol Sutijo. (2015). Peramalan Harga Gabah Kering Panen (GKP), Gabah Kering Giling (GKG) dan Beras di Tingkat Produsen Jawa Timur dengan Pendekatan Metode Univariate. JURNAL SAINS DAN SENI ITS Vol. 4, No.2,.

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Published

01-07-2025

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How to Cite

Rizqi, B., & Manessa, M. D. M. (2025). TINJAUAN SISTEMATIS PRISMA: KONVERSI SAWAH MENGANCAM NERACA KETERSEDIAAN BERAS DI SUATU WILAYAH. Jurnal Tanah Dan Sumberdaya Lahan, 12(2), 333-346. https://doi.org/10.21776/ub.jtsl.2025.012.2.11

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