Land degradation have caused decline in land productivity and triggering landslide incident in Bendo Watershed. This area has been selected as study area which represent characteristic upland area of the region. The research examines land capability analysis in order to reduce land degradation and disaster incidents and for sustainable use of land resources. The geomorphology approach was used along with sixteen of landform unit as unit sample. Further, artificial neural network models were used to classify land capabilities. Network architecture 10-8-1 was used on classification process due to the lowest error value factors. The findings of the study present that 20, 46% of Bendo watershed are prone to land degradation. Physical characteristic within area are contributing increasing land degradation. The capability classes of Bendo watershed ranges from class II to class VII. The upstream areas have erosion and intensive landslides as its limited factors, hence tend to have poor land capability classes. While the middle to downstream areas of Bendo watershed have better land capability classes with more diverse land use recommendations.

土地退化导致土地生产力下降，并引发了本多流域的滑坡事件。该地区已被选为代表该地区特色高地地区的研究区。该研究检查土地能力分析，以减少土地退化和灾害事件以及土地资源的可持续利用。采用地貌学方法，以16个地貌单元为单位样本。此外，人工神经网络模型被用于对土地能力进行分类。由于最低的误差值因素，网络架构 10-8-1 被用于分类过程。研究结果表明，本多流域 20%、46% 的土地容易发生土地退化。区域内的物理特征正在加剧土地退化。本多流域的能力等级范围从 II 级到 VII 级。上游地区以侵蚀和密集的滑坡为限制因素，因此往往具有较差的土地能力等级。而本多流域的中下游地区具有更好的土地能力等级和更多样化的土地利用建议。