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The road is a land transportation infrastructure that is often used by the community to support their daily activities. Damaged road conditions will cause inconvenience and especially safety for users. Therefore, road repairs must be carried out immediately. The problem currently being faced by the public works services is that identifying road damage is still done manually, so it takes a long time and costs, therefore the approach can be taken is using a computer to do texture feature extraction on road surface images to obtain information using the GLCM method and classify using the LGBM method for normal, cracked, potholed road surfaces with an accuracy of 90%.

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