Land Use Planning for Local Banana in Flood Prone Areas of Katingan Regency

Authors

  • Wanda Kristini Program Studi Ilmu Pengelolaan Sumberdaya Alam dan Lingkungan, Sekolah Pascasarjana, IPB University, IPB Kampus Baranangsiang Jl. Padjajaran Bogor 16680
  • Widiatmaka Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian IPB, Jl. Meranti Kampus IPB Darmaga Bogor 16680
  • Dyah Retno Panuju Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian IPB, Jl. Meranti Kampus IPB Darmaga Bogor 16680

DOI:

https://doi.org/10.29244/jitl.27.1.41-50

Keywords:

Analytical Network Process (ANP), Flood Prone Areas, Geographic Information System (GIS), Land Evaluation, Regional Planning

Abstract

Bananas are the fourth most crucial commodity globally and in Indonesia, significantly contributing to the horticulture sector. The high demand for bananas requires a substantial increase in production, making land resources crucial for development, such as in the Katingan Regency. The purpose of this research is to evaluate the potential areas for the expansion of local banana cultivation in Katingan Regency. Land suitability is evaluated using a Multi-Criteria Decision Making (MCDM) approach with the Analytical Network Process (ANP) and spatial analysis. Land availability is analyzed by integrating land status and spatial planning while also considering different levels of flood-prone areas. Soil type, soil texture, soil drainage, and rainfall are critical criteria in determining land suitability for local bananas. The results indicate that suitable land for local bananas accounts for 79% or 16,079.5 (102) ha, with the suitability class predominantly in class S2 (60%). Available and suitable land for local bananas with varying levels of flood risk covers 12% (2,418.1 (102) of the total study area. The Overall results show a high potential for land allocation for local banana production, with recommendations to expand agricultural development areas in Katingan Regency. Furthermore, it provides a foundation for stakeholders to sustainably increase local banana production, support the local economy, and improve the welfare of the community in Katingan Regency.

Downloads

Download data is not yet available.

References

Abdelrahman, M.A.E., A. Natarajan, and R. Hegde. 2016. Assessment of land suitability and capability by integrating remote sensing and GIS for agriculture in Chamarajanagar district, Karnataka, India. Egyptian Journal of Remote Sensing and Space Science, 19(1): 125–141. https://doi.org/10.1016/j.ejrs.2016.02.001

Aji, A., E. Trihatmoko, and S.B. Iryanthony. 2021. Carrying capacity and food self-sufficiency of paddy field resources: NDVI analysis in Batang Regency, Central Java Province, Indonesia. Journal of Socioeconomics and Development, 4(2): 245. https://doi.org/10.31328/jsed.v4i2.2266

Ariadi, Y.B., R. Relawati, Y. Agustina, Haryanto, L.I., and M.F. Kamarudin. 2024. The Promising Prospect of Banana Production and Marketing in Indonesia. SOCA: Jurnal Sosial Ekonomi Pertanian, 18(1): 59–76. https://doi.org/10.24843/SOCA.2024.v18.i01.p05

Artikanur, S.D., Widiatmaka, Y. Setiawan, and Marimin. 2023. An Evaluation of Possible Sugarcane Plantations Expansion Areas in Lamongan , East Java , Indonesia. Sustainability, 15(5390): 1–17. https://doi.org/https://doi.org/10.3390/su15065390

[BPS] Badan Pusat Statistik Indonesia. 2020. Statistik Indonesia 2020. BPS Indonesia. Jakarta

[BPS] Badan Pusat Statistik Indonesia. 2023. Statistik Indonesia 2023. BPS Indonesia. Jakarta

[BPS] Badan Pusat Statistik Indonesia. 2024. Statistik Indonesia 2024. BPS Indonesia. Jakarta

[BPS] Badan Pusat Statistik Kabupaten Katingan. 2024. Kabupaten Katingan Dalam Angka 2024. BPS Kabupaten Katingan. https://katingankab.bps.go.id/id

[BAPPELITBANG] Kabupaten Katingan. 2019. KLHS-RPJMD Kabupaten Katingan Tahun 2019-2023. Kasongan.

Cahya, M., R.A. Suwignyo, E. Sodikin, and H. Baral. 2022 . Incresing Rice Productivity in Degraded Peatlands Using Improved Planting Methots and Rice Varietas. BIOVALENTIA: Biological Research Journal, 8(1): 32–38. https://doi.org/10.24233/biov.7.1.2021.214

Dornik, A., M.A. Cheţan, T.E. Crişan, R. Heciko, A. Gora, L. Drăguţ, and P. Panagos. 2024. Geospatial evaluation of the agricultural suitability and land use compatibility in Europe’s temperate continental climate region. International Soil and Water Conservation Research, 12(4): 908-919. https://doi.org/10.1016/j.iswcr.2024.01.002

Dwivany, F.M., K. Wikantika, A. Sutanto, M.F. Ghazali, C. Lim, dan G. Kamalesha. 2021. Pisang Indonesia (Vols. 978-623–29). ITB Press. Bandung

[FAO] Food and Agriculture Organization of the United Nations. 2021. Banana Market Review 2021. Romehttps://doi.org/https://www.fao.org/documents/card/en/c/CC1610EN/

Hardjowigeno., and Widiatmaka. 2017. Perencanaan Tataguna Lahan. UGM Press. Yogyakarta

[KEMENTAN] Kementerian Pertanian. 2023. Statistics of Food Consumption 2023. Jakarta.

Koca, Y.K., M. Acar, and Y.S. Turgut. 2022. Combination of FAHP and GIS Techniques in Land Suitability Assessment for Banana Cultivation. PREPRINT (Version 1) available at Research Square. 1–11. https://doi.org/10.21203/rs.3.rs-2284644/v1

Marciatie, L., H. Redin, and T. Prajawahyudo. 2022. Strategi Penanggulangan Kemiskinan Melalui Pengembangan Pertanian Tanaman Padi pada Kawasan Perdesaan di Kabupaten Katingan. Journal of Environment and Management, 3(1): 62–70. https://doi.org/10.37304/jem.v3i1.4288

Mendas, A., A. Mebrek, & Z. Mekranfar. 2024. Group Decision-Making Based on GIS and MultiCriteria Analysis for Assessing Land Suitability for Agriculture. Revue Internationale de Géomatique, 33(1): 383-398.

https://doi.org/10.32604/rig.2024.055321

Noleppa, S., C. Gornott, S. Lüttringhaus, I. Hackenberg, and S. Gleixner. 2021. Climate Change and Its Effects on Banana Production. Deutsche Gesellschaft für International Zusammenarbeit (GIZ) GmbH.

Nugraha, A.A., D. Darsono, and S. Marwanti. 2023. Analysis of indonesian banana export performance in major export destination countries. SVU-International Journal of Agricultural Sciences, 5(2): 127–136.

https://doi.org/10.21608/svuijas.2023.219439.1294b

Ozkaya, G., and C. Erdin. 2020. Evaluation of smart and sustainable cities through a hybrid MCDM approach based on ANP and TOPSIS technique. Heliyon, 6(10): e05052. https://doi.org/10.1016/j.heliyon.2020.e05052

Quandt, A., J. Herrick, G.Peacock, S. Salley, A. Buni, C.C. Mkalawa, and J. Neff. 2020. A standardized land capability classification system for land evaluation using mobile phone technology. Journal of Soil and Water Conservation, 75(5): 579–589. https://doi.org/10.2489/jswc.2020.00023

Ramdhani, Widiatmaka, and B.H. Trisasongko. 2023. Food Crop Land Allocation: Integrating Land Suitability Analysis and Spatial Forestry, Study Case Katingan, Indonesia. Jurnal Manajemen Hutan Tropika, 29(3): 187–199. https://doi.org/10.7226/jtfm.29.3.187

Reay, D. 2019. Climate-Smart Cod. In Climate-Smart Food. https://doi.org/10.1007/978-3-030-18206-9_13

Rondhi, M., Pratiwi, P. A., Handini, V. T., Sunartomo, A. F., & Budiman, S. A. 2018. Agricultural land conversion, land economic value, and sustainable agriculture: A case study in East Java, Indonesia. Land, 7(4): 148-166. https://doi.org/10.3390/land7040148

Silva, M.C.de O., R.S. Vasconcelos, and J.A. Cirilo. 2022. Risk Mapping of Water Supply and Sanitary Sewage Systems in a City in the Brazilian Semi-Arid Region Using GIS-MCDA. Water (Switzerland), 14(20): https://doi.org/10.3390/w14203251

Saaty, T.L. 2004. Fundamentals of the analytic network process—Dependence and feedback in decision-making with a single network. Journal of Systems science and Systems engineering, 13: 129-157. https://doi.org/10.1007/s11518-006-0158-y

Saaty, T.L. 2008. Decision making with the analytic hierarchy process. International journal of services sciences, 1(1): 83-98. http://dx.doi.org/10.1504/IJSSCI.2008.017590

Sathiyamurthi, S., S. Saravanan, S. Karuppannan, R. Balakumbahan, M. Sivasakthi, M., S. Praveen Kumar, M. Ramya, S. Hussain, and A. Tariq. 2024. Agricultural land suitability of Manimutha Nadhi watershed using AHP and GIS techniques. Discover Sustainability, 5(1): 270. https://doi.org/10.1007/s43621-024-00471-4

Voora, V., S. Bermúdez, J.J. Farrell, C. Larrea, and E. Luna. 2023. Global market report: Banana prices and sustainability. Sustainable Commodities Marketplace Series. IISD-SSI. https://www.iisd.org/system/files/2023-03/2023-global-market-report-banana.pdf

Widiatmaka, W. Ambarwulan, and K. Munibah. 2013. Landuse Change During A Decade As Determined by Landsat Imagery of Rice Production Region and Its Implication to Regional Contribution to Rice Self Surfficiency : Case Study of Karawang, Regency, West Java, Indonesia. Proceedings of the 34th Asian Conference on Remote Sensing, 2013: 834–840.

Widiatmaka, W. Ambarwulan, Y. Setiawan, and C. Walter. 2016. Assessing the suitability and availability of land for agriculture in tuban regency, East Java, Indonesia. Applied and Environmental Soil Science, 2016: 7302148, 13 pages. https://doi.org/10.1155/2016/7302148

Xu, J., L. Li, and M. Ren. 2022. A Hybrid ANP Method for Evaluation of Government Data Sustainability. Sustainability (Switzerland), 14(2): 1–32. https://doi.org/10.3390/su14020884

Downloads

Published

2025-04-01

Issue

Vol. 27 No. 1 (2025): Journal of Soil Science and Environment

Section

Articles

License

Department of Soil Science and Land Resources Departemen Ilmu Tanah dan Sumberdaya Lahan, Faculty of Agriculture Fakultas Pertanian, IPB University

How to Cite

Kristini, W., Widiatmaka, & Panuju, D. R. (2025). Land Use Planning for Local Banana in Flood Prone Areas of Katingan Regency. Jurnal Ilmu Tanah Dan Lingkungan, 27(1), 41-50. https://doi.org/10.29244/jitl.27.1.41-50