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October 9, 2025Applied Information System and Management (AISM)Open Access

Cocoa Land Suitability Analysis Using ID3 Spatial Algorithm

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Authors

ANAndi NurkholisRRRirin Wuri RahayuAFAndrey Ferriyan

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Overview

Application of ID3 spatial algorithm evaluates land suitability for cocoa in Bogor, indicating optimal areas for cultivation.

Key Points

  • Model M2 achieved an accuracy of 87.27%, showing significant improvement over Model M1's 29.09%.
  • Cocoa cultivation potential in Bogor Regency includes 16,443 ha of moderately suitable land and 231,018 ha of marginally suitable land.
  • The ID3 spatial algorithm effectively identified relief as the root node affecting suitability, demonstrating its strength in land assessment.
  • This study underscores the potential of artificial intelligence in enhancing agricultural land use decision-making.

Cite This Study

Nurkholis et al. (2025) studied this question.

synapsesocial.com/papers/68e79cf2ed88661f66c2e04bhttps://doi.org/10.15408/aism.v8i2.46681
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Evaluation of Land Suitability for Cocoa (Theobroma cacao L.) Cultivation in Wotu Subdistrict, Luwu Timur Regency2025
  2. 2The Role of Cocoa Commodity as a Base Sector in Indonesia's Regional Development2025
  3. 3Multicriteria Spatial Data Analysis For Landslide Prone Zone in South Bogor Sub-District2025
  4. 4Spatial and economic assessment of agropolitan zones with focus on rice and coconut: Implications for sustainable agricultural development2025
  5. 5Glutinous paddy land suitability under stress condition using multi-criteria AHP-GIS approach.2025