Indonesia currently has 269 million people or 3.49% of the world’s total population and is ranked as the fourth most populous country in the world. Analysis by the Ministry of Public Works and Public Housing of Indonesia in 2010 shows that Java’s biocapacity is already experiencing a deficit. Therefore, optimization needs to be done to reduce deficits. This study aims to optimize and assess spatial allocation accuracy based on land-use/land cover suitability. In this study, the ecological footprint (EF) is utilized as a spatial allocation assessment based on physiological needs. The concept of land suitability aims for optimal and sustainable land use. Moreover, the land suitability model was conducted using the support vector machine (SVM). SVM is used to find the best hyperplane by maximizing the distance between classes. A hyperplane is a function that can be used to separate land-use/land cover types. The land suitability model’s overall-accuracy model was 86.46%, with a kappa coefficient value of 0.812. The final results show that agricultural land, plantations, and pastureland are still experiencing deficits, but there is some reduction. The deficit reduction for agricultural land reached 510,588.49 ha, 18,986.14 ha for plantations, and 1015.94 ha for pastures. The results indicate that the SVM algorithm is efficient in mapping the land-use suitability and optimizing spatial allocation.

中文翻译：

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生态足迹和支持向量机相结合的基于生理需求和土地适宜性的空间分配（案例研究：印度尼西亚爪哇岛）

印尼目前有2.69亿人口，占世界总人口的3.49％，是世界第四大人口大国。印度尼西亚公共工程和公共住房部2010年的分析表明，爪哇的生物承载力已经处于短缺状态。因此，需要进行优化以减少缺陷。本研究旨在基于土地利用/土地覆盖的适宜性来优化和评估空间分配的准确性。在这项研究中，生态足迹（EF）被用作基于生理需要的空间分配评估。土地适宜性的概念旨在实现最佳和可持续的土地利用。此外，使用支持向量机（SVM）进行了土地适宜性模型。SVM用于通过最大化类之间的距离来找到最佳的超平面。超飞机是一种可用于区分土地利用/土地覆盖类型的功能。土地适宜性模型的总体准确性模型为86.46％，kappa系数值为0.812。最终结果表明，农业用地，人工林和牧场仍处于短缺状态，但有所减少。农业土地的赤字减少量达到510,588.49公顷，人工林减少了18,986.14公顷，牧场减少了1015.94公顷。结果表明，支持向量机算法在映射土地利用适宜性和优化空间分配方面是有效的。但有所减少。农业土地的赤字减少量达到510,588.49公顷，人工林减少了18,986.14公顷，牧场减少了1015.94公顷。结果表明，支持向量机算法在映射土地利用适宜性和优化空间分配方面是有效的。但有所减少。农业土地的赤字减少量达到510,588.49公顷，人工林减少了18,986.14公顷，牧场减少了1015.94公顷。结果表明，支持向量机算法在映射土地利用适宜性和优化空间分配方面是有效的。