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    Analisis Prediksi Kerusakan Perkerasan Lentur Berbasis IRI (International Roughness Index) dengan Metode IRMS-V3 (Indonesia Road Management System Version 3) dan RONET (Road Network Evaluation Tools) (Studi Kasus Ruas Jalan Nasional Sp. Pangkalan Susu – Tanjung Pura)

    Prediction Analysis of Flexible Pavement Deterioration with IRI (International Roughness Index) Based for Comparison IRMS-V3 (Indonesia Road Management System Version 3) and RONET (Road Network Evaluation Tools) Method (Case Study of The National Road Sp. Pangkalan Susu – Tanjung Pura)

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    Date
    2023
    Author
    Maghfirah, Sarah
    Advisor(s)
    Anas, M Ridwan
    Bangun, Emma Patricia
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    Abstract
    A Condition of flexible pavement will have a deteriorated during its service life receiving traffic loads. To keep the pavement is fuctioning, regular maintenance is required. However, maintenance carried out so far by the government cannot be carried out optimally because the budgeting system is based on the results of the back-calculation method/FWD value, where this method can only calculate handling needs per budget year. This has an impact on handling funding to become unsustainable. There are several methods that can be used to predict future damage including IRMS-V3 and RONET. Both have a basis for calculating the value of IRI as the main variable in predicting damage. The purpose of this study is to obtain damage prediction values based on IRI, LHR, and remaining design life using both methods. After obtaining the damage prediction value, the most appropriate handling needs can be calculated. The type of data used is secondary data sourced from North Sumatra BBPJN. The analysis is carried out by calculating the IRI value, traffic volume, and the remaining planned life for the next 5 years. Based on the results of the analysis obtained, road damage will occur more quickly using the RONET method. Road maintenance funds resulting from the IRMS-V3 method are more economical. Then validated using statistical t test. The results show that there is no difference in the average predicted IRI value, but there is a difference in the average predicted RSL value for the two methods.
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    https://repositori.usu.ac.id/handle/123456789/96300
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    Repositori Institusi Universitas Sumatera Utara (RI-USU)
    Universitas Sumatera Utara | Perpustakaan | Resource Guide | Katalog Perpustakaan
    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV