IAIC Transactions on Sustainable Digital Innovation (ITSDI)
Vol 4 No 1 (2022): October

Implementation of KNN Methods And GLCM Extraction For Classification Of Road Damage Level

Adyanata Lubis (STKIP Rokania)
Isdaryanto Iskandar (Katolik Indonesia Atma Jaya University)
MM Lanny W Panjaitan (Katolik Indonesia Atma Jaya University)



Article Info

Publish Date
21 Aug 2022

Abstract

Road damage that occurs on several road surfaces causes huge losses, especially for road users such as travel time, congestion, accidents and others , so it is necessary to assess the level of road damage. At this time, problems in determining the level of road damage such as detecting cracks, potholes, calculating the width of cracks, the percentage of cracks and generating the level of road damage are still carried out by slow manual calculations using the Surface method. Distress Index (SDI). In this study, the KNN and GLCM methods will be used to detect road damage. Based on the results of the tests carried out, the accuracy of the results of disease detection with the KNN method and GLCM extraction depends on the number of datasets contained in the system. The process of measuring the level of road damage to get the results of the level of damage to the road can be done quickly, namely by entering a road damage image into the application.

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Journal Info

Abbrev

itsdi

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology

Description

IAIC Transactions on Sustainable Digital Innovation (ITSDI e-ISSN : 2715-0461 , p-ISSN : 2686-6285 ) managed by Indonesian Association on Informatics and Computing (IAIC) and supported by Alphabet Incubator . ITSDI provides media to publish scientific articles from scholars and experts around the ...