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All Journal Riau Journal of Computer Science INOVTEK Polbeng - Seri Informatika JMM (Jurnal Masyarakat Mandiri) Jurnal PGSD Jurnal Prakarsa Paedagogia IAIC Transactions on Sustainable Digital Innovation (ITSDI) JURNAL MASYARAKAT NEGERI ROKANIA JOURNAL OF ICT APLICATIONS AND SYSTEM Innovative: Journal Of Social Science Research RJOCS (Riau Journal of Computer Science)
Adyanata Lubis
STKIP Rokania
Religion Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Journal : IAIC Transactions on Sustainable Digital Innovation (ITSDI)

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Implementation of KNN Methods And GLCM Extraction For Classification Of Road Damage Level Adyanata Lubis; Isdaryanto Iskandar; MM Lanny W Panjaitan
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 4 No 1 (2022): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v4i1.564

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.
Co-Authors Agung Setiawan Angriamilleni Angriamilleni Arief Hidayat Afendi, Arief Hidayat Asih Ria Ningsih Asmiati B. Herawan Hayadi B.Herawan Hayadi B.Herawan Hayadi Budi Yanto Detri Amelia Chandra Efendi Elyandri Prasiwinigrum Erna Armita, NST Fadzilatul Mutmainah Fauzi Erwis Hasrijal Hasrijal Hendrisman Hera Deswita Hommy Dorthy Ellyany Sinaga Isdaryanto Iskandar Iskandar Iskandar Iskandar Jufri Jufri Jufri Jufri Khardianti Alviani Ishak Meli Handayani Miftahul Jannah Mila Karmelia MM Lanny W Panjaitan Muhammad Alvin Novica Irawati Nur Azizah Nurhidayati Sholihah Pariang Sonang Siregar Rika Delima Rinda Gustari Rita Arianti Sabda Maulana Safinaz Sahira Sasnita Riyani Septi Nadia Putri Seri Mulia Reski Sri Mures Walef Sriwahyudi Sulis Wulandari Yuhasnil Yuli Asnita Nasution