Analysis of Road Surface Damage Level on Road Surface Campurejo-Wates, Temanggung Regency using The SDI (Surface Distress Index) Method


  • Wachid Nur Ihsan Civil Engineering Department, Universitas Sarjanawiyata Tamansiswa, Indonesia
  • Widarto Sutrisno Civil Engineering Department, Universitas Sarjanawiyata Tamansiswa, Indonesia
  • Dimas Langga Civil Engineering Department, Universitas Sarjanawiyata Tamansiswa, Indonesia


road STA, data, application method


The The road is the access used by everyone to get to the place they want to go. Therefore, the existence of good access facilitate the means of transportation pass easily. Basically, along with advances in technology, development, and transportation, the quality of the roads will get better which was originally known as macadam roads (rough pavement), now has developed into hot mix asphalt/asphalt roads (flexible pavement). Now the constituent materials in road pavements are also easier to assemble and moreover the process is faster, because they have been assisted by much more sophisticated tools. In this case, with the facilities that have been developed by researchers and experts, the stages in the planning, manufacture, and maintenance process. Researchers developed a variety of different methods, including; method that is often used and until now has become a reference in research. There are SDI, RCI, PCI, IRI and so on. Such as the research conducted on the road section on the Campurejo-Wates road section. This study uses the SDI method from the District Office of Highways for analyzing, researching, and interpreting. A total of 22 segments with a total of STA+7850 with 76 stations . There are 8 segments that have been identified in this study. In collecting data, researchers used 2 data variables, namely; Primary Data and Secondary Data. In Primary Data, the researcher emphasizes direct research in the field/direct surveys at the location. Meanwhile, in secondary data collection, researchers get data from related agencies. The test results obtained an average SDI of 4.873418 which was collected from the cumulative total SDI data of 8 segments per 100 m with a total distribution of 76 STAs.There are several classifications of damage obtained in this study, such as; cracked hair, cracked crocodile skin, and heavily damaged. So, it is necessary to strive for maintenance and improvement in this section.


T. Tresnandhini Koesomaningroem, “Road Damage Evaluation With Surface Distress Index (SDI) method,” ATMAJAYA, 2019.

D. Permadi, “Analysis of Road Surface Conditions Using SDI and RCI methods and their handling. Indonesian National Institute,” 2021.

A. Muiz, “Identification of Road Damage and Damage Management Road on Jalan Sadang (Bts. Kab. Lamongan)- Lohung(Km.93.175),” 2018.

G. Aprilia, “Analysis of Road Damage with SDI Taluk Kuantan Method – West Sumatra Province Boundary,” 2020.

“Public Works Department,” Construction and Building Manual, 2011. .