Analisis Perbandingan Nilai Kondisi Jalan Menggunakan Metode SDI dan IRI Dari Alat Survei Roadroid Comparative Analysis of Road Condition Values Using the SDI and IRI Methods from the Roadroid Survey Tool
Article Sidebar
PDF Download : 198 Times
Main Article Content
Abstract
Good road infrastructure plays an important role in the economic development of a city. Therefore, the government must maintain and improve road conditions yearly to help attract investment and ultimately lead to overall economic growth. Presently, road condition surveys are conducted and assessed using the manual method with the Surface Distress Index (SDI), which is time-consuming and expensive due to the large number of access roads. In order to address this issue, a fast and cost-effective alternative survey approach is required, such as the International Roughness Index (IRI) method using the Roadroid application. Roadroid is an application installed on a smartphone and then attached to a car's windshield to record road conditions while the car is in motion. This study aims to compare the use of the Roadroid application with the manual survey method in terms of time and cost efficiency in identifying road conditions in the city of Palembang, which has 1204 roads. In this study, the Roadroid application results is compared to the road condition assessment results from the SDI methods. The results showed that the time required to obtain road conditions with manual survey and Roadroid application was 37.313 minutes and 4.123 minutes, respectively. The cost required to obtain road conditions was IDR 290.937.000 and IDR 68.006.000 for manual surveys and using the Roadroid application, respectively. Furthermore, the comparison of road condition assessment results between the SDI and IRI methods showed that they have average mean differences of 24.86%, so it can be concluded that the road conditions obtained in the IRI method using Roadroid have high accuracy with the conditions in the SDI method. From the results, it can be concluded that using the Roadroid application to obtain road conditions is more effective and efficient than manual surveys.
Downloads
Article Details
Alex Setiadharma, M., Arliansyah, J., & Buchari, E. (2018). Evaluation of Functional Conditions of the Road Based on the Value of Naasra Roughmeter Ii and Iri Roadroid (a Case Study of the Western Ring Road, Southern Ring Road, and the Main Road of Palembang City). CSID Journal of Sustainable City and Urban Development, 1(1), 65–76.
Douangphachanh, V., & Oneyama, H. (2014). A study on the use of smartphones under realistic settings to estimate road roughness condition. Eurasip Journal on Wireless Communications and Networking, 2014(1), 1–11. https://doi.org/10.1186/1687-1499-2014-114
Eljamassi, A. D., & Naji, M. S. (2017). Using smartphone and GIS to measure International Roughness Index (IRI) in Gaza Strip-Palestine Road Network (Deir Balah as case study). Journal of Engineering Research & Technology, 4(3), 92–104. https://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=128644751&%0Alang=pt-br&site=ehost-live&scope=site
Gibbons, S., Lyytikäinen, T., Overman, H. G., & Sanchis-Guarner, R. (2019). New road infrastructure: The effects on firms. Journal of Urban Economics, 110(March 2017), 35–50. https://doi.org/10.1016/j.jue.2019.01.002
Kane, S. N., Mishra, A., & Dutta, A. K. (2016). Preface: International Conference on Recent Trends in Physics (ICRTP 2016). Journal of Physics: Conference Series, 755(1). https://doi.org/10.1088/1742-6596/755/1/011001
Karballaeezadeh, N., Mohammadzadeh S, D., Shamshirband, S., Hajikhodaverdikhan, P., Mosavi, A., & Chau, K. wing. (2019). Prediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan–Firuzkuh road). Engineering Applications of Computational Fluid Mechanics, 13(1), 188–198. https://doi.org/10.1080/19942060.2018.1563829
Putra, D. A., & Suprapto, M. (2018). Assessment of the road based on PCI and IRI roadroid measurement. MATEC Web of Conferences, 195, 1–8. https://doi.org/10.1051/matecconf/201819504006
Sari, D. A., & Kisman, A. (2021). Penilaian Kondisi Jalan Poros Sabbang Selatan Menggunakan Metode Surface Distress Index. PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik, 6(1), 24. https://doi.org/10.51557/pt_jiit.v6i1.616
Umi, T., Setyawan, A., & Suprapto, M. (2016). Penggunaan Metode International Roughness Index (IRI), Surface Distress Index (SDI) Dan Pavement Condition Index (PCI) untuk Penilaian Kondisi Jalan Di Kabupaten Wonogiri. Prosiding Semnastek, 0(0), 1–9. https://jurnal.umj.ac.id/index.php/semnastek/article/view/685
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).