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

Oil palm plantations are a leading sub-sector in Indonesia's agricultural sector which is experiencing rapid growth. Ketapang Regency, as the area with the largest oil palm plantation area in West Kalimantan, has great potential for further development. This study aims to analyze the suitability of land for oil palm plantation development using the Multi-Criteria Decision Making (MCDM) approach integrated with the Geographic Information System (GIS). The Analytical Hierarchy Process (AHP) method is used to determine the weight and value of subcriteria that affect land suitability. The criteria used include slope, land cover, spatial pattern, soil texture, effective depth, drainage, temperature, rainfall, and distance from the road. The results of the analysis show that most of the Ketapang Regency (79.56%) is included in the S1 (highly suitable) and S2 (suitable) categories, with the dominance of the S2 category (67.11%). However, only 3.17% of the regions met the S1 category, while most of the regions (23.29%) were in the S2 category. The results of the overlay with the Regional Spatial Plan (RTRW) and existing land use show that most of the appropriate areas are located outside the protected area. This study concludes that Ketapang Regency has great potential for the development of oil palm plantations, but development must consider regulations and environmental impacts. Further research recommendations include an evaluation of the socio-economic impacts, biodiversity, and climate change on the sustainability of oil palm plantation development in Ketapang Regency

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Publication Details

Journal
Journal of Tropical Soils
Published
2025-09-24
DOI
https://doi.org/10.5400/jts.2025.v30i3.1
Primary Topic
Oil Palm Production and Sustainability
Type
article
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article

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

Widiatmaka Widiatmaka, Pambudi Yuwono, Asnath Maria Fuah
Journal of Tropical Soils
Oil Palm Production and Sustainability
article

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

Widiatmaka Widiatmaka, Pambudi Yuwono, Asnath Maria Fuah
article en

Abstract

Oil palm plantations are a leading sub-sector in Indonesia's agricultural sector which is experiencing rapid growth. Ketapang Regency, as the area with the largest oil palm plantation area in West Kalimantan, has great potential for further development. This study aims to analyze the suitability of land for oil palm plantation development using the Multi-Criteria Decision Making (MCDM) approach integrated with the Geographic Information System (GIS). The Analytical Hierarchy Process (AHP) method is used to determine the weight and value of subcriteria that affect land suitability. The criteria used include slope, land cover, spatial pattern, soil texture, effective depth, drainage, temperature, rainfall, and distance from the road. The results of the analysis show that most of the Ketapang Regency (79.56%) is included in the S1 (highly suitable) and S2 (suitable) categories, with the dominance of the S2 category (67.11%). However, only 3.17% of the regions met the S1 category, while most of the regions (23.29%) were in the S2 category. The results of the overlay with the Regional Spatial Plan (RTRW) and existing land use show that most of the appropriate areas are located outside the protected area. This study concludes that Ketapang Regency has great potential for the development of oil palm plantations, but development must consider regulations and environmental impacts. Further research recommendations include an evaluation of the socio-economic impacts, biodiversity, and climate change on the sustainability of oil palm plantation development in Ketapang Regency

Journal of Tropical SoilsVol. 30(3)
Openalex Percentile: Top 75%
Oil Palm Production and Sustainability
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Spatial Analysis of Available and Suitable Land for Oil Palm in Ketapang Regency — Widiatmaka Widiatmaka, Pambudi Yuwono, et al. · Journal of Tropical Soils (2025) | TGRS Research Map | TGRS