Spatial Analysis of Available and Suitable Land for Oil Palm in Ketapang Regency

Main Article Content

Probo Yuwono
Asnath Maria Fuah

Abstract

Oil palm plantations are a primary sub-sector of Indonesia’s agricultural economy and continue to expand rapidly. Ketapang Regency, which has the largest oil palm plantation area in West Kalimantan, holds significant potential for further development. This study assessed land suitability for oil palm expansion using a Multi-Criteria Decision-Making approach integrated with Geographic Information Systems. The Analytical Hierarchy Process was applied to assign weights to the following criteria: slope, land cover, spatial pattern, soil texture, adequate depth, drainage, temperature, rainfall, and road accessibility. The results show that 79.56% of the total area is classified as suitable (S1 and S2), comprising 3.17% as highly suitable (S1) and 67.11% as suitable (S2). Meanwhile, 7.62% was moderately suitable (S3) and 20.44% was not suitable (N). Overlay analysis revealed that the most suitable lands overlap with Other Use Areas and Conversion Production Forests, while some intersect with existing agricultural and plantation uses. Validation with existing plantation data confirmed that 98.34% of plantations are located in S1 and S2 zones, demonstrating the robustness of the model. Overall, Ketapang Regency has substantial land availability for oil palm expansion. However, the limited extent of highly suitable land (S1) and the predominance of suitable (S2) highlight the need for cautious interpretation of expansion opportunities. Sustainable development must align with spatial regulations, land conversion policies, and environmental safeguards. Future research should integrate socio-economic, ecological, and climate change considerations to support sustainable and resilient oil palm development.

Downloads

Download data is not yet available.

Article Details

Section

Articles

How to Cite

Spatial Analysis of Available and Suitable Land for Oil Palm in Ketapang Regency. (2025). JOURNAL OF TROPICAL SOILS, 30(3), 201-211. https://doi.org/10.5400/jts.2025.v30i3.201-211

References

Adrian, Widiatmaka, Munibah, K., & Firmansyah, I. (2022). Evaluate land suitability analysis for rice cultivation using a GIS-based AHP multi-criteria decision-making approach: Majalengka Regency, West Java Province. IOP Conference Series: Earth and Environmental Science, 1109(1). https://doi.org/10.1088/1755-1315/1109/1/012062

Ambarwulan, W., Nahib, I., Widiatmaka, W., Suryanta, J., Munajati, S. L., Suwarno, Y., Turmudi, T., Darmawan, M., & Sutrisno, D. (2021). Using Geographic Information Systems and the Analytical Hierarchy Process for Delineating Erosion-Induced Land Degradation in the Middle Citarum Sub-Watershed, Indonesia. Frontiers in Environmental Science, 9, 1–10. https://doi.org/10.3389/fenvs.2021.710570

Badan Pusat Statistik Indonesia. (2023). Statistik Kelapa Sawit Indonesia. 16.

BPS Kabupaten Ketapang. (2024). Ketapang dalam angka 2024. 17.

Danylo, O., Pirker, J., Lemoine, G., Ceccherini, G., See, L., McCallum, I., Hadi, Kraxner, F., Achard, F., & Fritz, S. (2021). A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand. Scientific Data, 8(1), 4–11. https://doi.org/10.1038/s41597-021-00867-1

Goenadi, D. H., Setyobudi, R. H., Yandri, E., Siregar, K., Winaya, A., Damat, D., Widodo, W., Wahyudi, A., Adinurani, P. G., Mel, M., Zekker, I., Mazwan, M. Z., Siskawardani, D. D., Purbajanti, E. D., & Ekawati, I. (2021). Land Suitability Assessment and Soil Organic Carbon Stocks as Two Keys for Achieving Sustainability of Oil Palm (Elaeis guineensis Jacq.). Sarhad Journal of Agriculture, 37(Special Issue 1), 184–196. https://doi.org/10.17582/journal.sja/2022.37.s1.184.196

Gurmessa, M. M., Moisa, M. B., Boru, L. H., Deribew, K. T., Roba, Z. R., Negasa, G. G., Tiye, F. S., & Gemeda, D. O. (2023). Geospatial assessment of potential land suitability for oil palm (Elaeis guineensis Jacq) cultivation in the western parts of Ethiopia. OCL - Oilseeds and Fats, Crops and Lipids, 30. https://doi.org/10.1051/ocl/2023024

Hamdani, Septiarini, A., & Khairina, D. M. (2017). Model assessment of land suitability decision making for oil palm plantation. Proceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment, 109–113. https://doi.org/10.1109/ICSITech.2016.7852617

Hardjowigeno, S., & Widiatmaka. (2011). Evaluasi Kesesuaian Lahan dan Perencanaan Tata Guna Lahan. Gadjah Mada Univerity Press.

Hassan, W. H., Mahdi, K., & Kadhim, Z. K. (2025). Optimal rainwater harvesting locations for arid and semi-arid regions by using MCDM-based GIS techniques. Heliyon, 11(3), e42090. https://doi.org/10.1016/j.heliyon.2025.e42090

Jaroenkietkajorn, U., & Gheewala, S. H. (2021). Land suitability assessment for oil palm plantations in Thailand. Sustainable Production and Consumption, 28, 1104–1113. https://doi.org/10.1016/j.spc.2021.07.031

Kang, Y. O., Yabar, H., Mizunoya, T., & Higano, Y. (2024). Optimal landfill site selection using ArcGIS Multi-Criteria Decision-Making (MCDM) and Analytic Hierarchy Process (AHP) for Kinshasa City. Environmental Challenges, 14. https://doi.org/10.1016/j.envc.2023.100826

Mantel, S., Wösten, H., & Verhagen, J. (2007). Biophysical Land Suitability for Oil Palm in Kalimantan, Indonesia.

Nursanti, I. (2023). Characteristics of Peat with Different Depths in Supporting Growth and Productivity of Oil Palm. 28(1), 17–22. https://doi.org/10.5400/jts.2023.v28i1.17-22

Phochanikorn, P., & Tan, C. (2019). An integrated multi-criteria decision-making model based on prospect theory for green supplier selection under uncertain environment: A case study of the Thailand palm oil products industry. Sustainability (Switzerland), 11(7). https://doi.org/10.3390/su11071872

Pirker, J., Mosnier, A., & Obersteiner, M. (2015). Interim Report IR-15-006 Global oil palm suitability assessment. 33. www.iiasa.ac.at

Qiu, L., Zhu, J., Pan, Y., Hu, W., & Amable, G. S. (2017). Multi-criteria land use suitability analysis for livestock development planning in Hangzhou metropolitan area, China. Journal of Cleaner Production, 161, 1011–1019. https://doi.org/10.1016/j.jclepro.2017.07.053

Rame, L. S., Widiatmaka, Hartono, A., & Firmansyah, I. (2022). Multi-criteria decision making for determining landfill location in Malaka Regency, East Nusa Tenggara Province of Indonesia. Journal of Degraded and Mining Lands Management, 9(2), 3405–3413. https://doi.org/10.15243/jdmlm.2022.092.3405

Rendana, M., Rahim, S. A., Idris, W. M. R., Rahman, Z. A., & Lihan, T. (2022). Agricultural Land Evaluation Using GIS-Based Matching Method in Highland Areas for Oil Palm Cultivation. Caraka Tani: Journal of Sustainable Agriculture, 37(1), 100–110. https://doi.org/10.20961/carakatani.v37i1.57441

Rhebergen, T., Fairhurst, T., Zingore, S., Fisher, M., Oberthür, T., & Whitbread, A. (2016). Climate, soil and land-use based land suitability evaluation for oil palm production in Ghana. European Journal of Agronomy, 81, 1–14. https://doi.org/10.1016/j.eja.2016.08.004

Romelah, S., & Niswati, A. (2017). Improvement of Physical and Chemical Soil Quality of Oil Palm Plantation through Integrated Farming System of Cattle and Oil Palm to Achieve Sustainable Agriculture. 22(2), 113–123. https://doi.org/10.5400/jts.2017.22.2.113

Rustiadi, E., Pribadi, D. O., Pravitasari, A. E., Nurdin, M., Iman, L. S., Supijatno, Panuju, D. R., Saad, A., Rosandi, V. B., & Anthony, D. (2023). Developing a precision spatial information system of smallholder oil palm plantations for sustainable rural development. IOP Conference Series: Earth and Environmental Science, 1133(1). https://doi.org/10.1088/1755-1315/1133/1/012072

Saaty, T. L. (2002). Decision making with the Analytic Hierarchy Process. Scientia Iranica, 9(3), 215–229. https://doi.org/10.1504/ijssci.2008.017590

Sharma, S. K., Baral, H., Laumonier, Y., Okarda, B., Purnomo, H., & Pacheco, P. (2019). Ecosystem services under future oil palm expansion scenarios in West Kalimantan, Indonesia. Ecosystem Services, 39(August), 100978. https://doi.org/10.1016/j.ecoser.2019.100978

Singh, K., Fuentes, I., Fidelis, C., Yinil, D., Sanderson, T., Snoeck, D., Minasny, B., & Field, D. J. (2021). Cocoa suitability mapping using multi-criteria decision making: An agile step towards soil security. Soil Security, 5, 100019. https://doi.org/10.1016/j.soisec.2021.100019

Tan, X. J., Cheor, W. L., Yeo, K. S., & Leow, W. Z. (2022). Expert systems in oil palm precision agriculture: A decade systematic review. Journal of King Saud University - Computer and Information Sciences, 34(4), 1569–1594. https://doi.org/10.1016/j.jksuci.2022.02.006

Tapia, J. F. D., Doliente, S. S., & Samsatli, S. (2021). How much land is available for sustainable palm oil? Land Use Policy, 102(November 2020), 105187. https://doi.org/10.1016/j.landusepol.2020.105187

Teh, C. B. S., Cheah, S. S., & Kulaveerasingam, H. (2024). Development and validation of an oil palm model for a wide range of planting densities and soil textures in Malaysian growing conditions. Heliyon, 10(14), e32561. https://doi.org/10.1016/j.heliyon.2024.e32561

Widiatmaka, Ambarwulan, W., & Sudarsono. (2016). Spatial multi-criteria decision making for delineating agricultural land in Jakarta metropolitan area’s hinterland: Case study of Bogor regency, West Java. Agrivita, 38(2), 105–115. https://doi.org/10.17503/agrivita.v38i2.746

Yuniarti, W., Sumardjo, Widiatmaka, & Wibawa, W. D. (2022). Development of Highland Vegetable Commodity Areas Through Multi-Criteria Decision Making (MCDM) Analysis and Geographic Information Systems. IOP Conference Series: Earth and Environmental Science, 950(1). https://doi.org/10.1088/1755-1315/950/1/012074

Zhao, Q., Yu, L., Li, X., Xu, Y., Du, Z., Kanniah, K., Li, C., Cai, W., Lin, H., Peng, D., Zhang, Y., & Gong, P. (2024). The expansion and remaining suitable areas of global oil palm plantations. Global Sustainability, 7. https://doi.org/10.1017/sus.2024.8