Pengaruh Jenis Kerusakan Jalan Terhadap Nilai International Roughness Index (IRI)

Hadiansah, Guntur (2007) Pengaruh Jenis Kerusakan Jalan Terhadap Nilai International Roughness Index (IRI). Other thesis, Institut Teknologi Sepuluh Nopember.

Text 3102100067-Undergraduate_thesis.pdf Restricted to Repository staff only Download (46MB)

Abstract

Dalam penentuan biaya operasi kendaraan menggunakan metode Jasa Marga dan Simplified Method, International Roughness Index (IRI) merupakan salah satu faktor yang menentukan. Selain itu, IRI juga merupakan indikator umum kondisi perkerasan jalan. Keterbatasan alat pengukur serta besarnya biaya yang diperlukan menyebabkan nilai IRI sulit diperoleh di Indonesia. Tugas Akhir ini bertujuan untuk memperoleh nilai IRI melalui analisis korelasi dengan nilai kerusakan jalan yang didapatkan secara visual, sebagaimana metode yang sering digunakan di Indonesia. Pengolahan data nilai kerusakan jalan menggunakan metode Bina Marga (1979), sedangkan analisis dilakukan dengan mencari hubungan antara nilai kerusakan jalan dan nilai IRI. Model hubungan yang digunakan adalah model bivariat dan multivariat. Model dengan nilai R² terbaik dipilih sebagai model yang paling sesuai. Berdasarkan hasil analisis, diperoleh dua persamaan dari model hubungan bivariat dan multivariat. Model hubungan multivariat menghasilkan persamaan IRI = 3,005 + 0,063NK retak/ruas + 0,05NK tambalan/ruas + 0,075NK lubang/ruas + 0,074NK amblas/ruas (R² = 0,454), sedangkan model hubungan bivariat menghasilkan persamaan IRI = 2,9486 + (NK^0,0632) (R² = 0,449). Dari kedua persamaan tersebut, dipilih persamaan model hubungan multivariat karena memiliki nilai R² yang lebih besar. Dengan demikian, persamaan akhir yang diperoleh dari analisis ini adalah IRI = 3,005 + 0,063NK retak/ruas + 0,05NK tambalan/ruas + 0,075NK lubang/ruas + 0,074NK amblas/ruas (R² = 0,454).
==================================================================================================================================
In determining vehicle operating costs using the Jasa Marga and Simplified Methods, the International Roughness Index (IRI) is one of the determining factors. In addition, IRI is a widely used indicator of road pavement condition. The limited availability of measuring equipment and the high costs involved make IRI values difficult to obtain in Indonesia. This Final Project aims to estimate IRI values by analyzing their correlation with road damage values assessed visually, a method commonly used in Indonesia. Road damage data were processed using the Bina Marga method (1979), while the analysis examined the relationship between road damage values and IRI values. The models employed were bivariate and multivariate relationship models, with the model achieving the highest R² selected as the most suitable. The analysis produced two equations based on the bivariate and multivariate models. The multivariate model yielded the equation IRI = 3.005 + 0.063NK cracks/section + 0.05NK patches/section + 0.075NK potholes/section + 0.074NK subsidence/section (R² = 0.454), while the bivariate model yielded IRI = 2.9486 + (NK^0.0632) (R² = 0.449). Of the two equations, the multivariate model was selected because it had a higher R² value. Therefore, the final equation obtained from this analysis is IRI = 3.005 + 0.063NK cracks/section + 0.05NK patches/section + 0.075NK potholes/section + 0.074NK subsidence/section (R² = 0.454).

Item Type:	Thesis (Other)
Additional Information:	RSS 625.7 Had p 2007
Uncontrolled Keywords:	Nilai Kerusakan Jalan, IRI, Jenis KenlSakan Jalan, Road Damage Value, IRI, Road Type Damage.
Subjects:	T Technology > TE Highway engineering. Roads and pavements > TE175 Road and highway design
Divisions:	Faculty of Civil Engineering and Planning > Civil Engineering > 22201-(S1) Undergraduate Thesis
Depositing User:	magang .
Date Deposited:	29 Oct 2026 06:47
Last Modified:	29 Oct 2026 06:47
URI:	http://repository.its.ac.id/id/eprint/146003

Actions (login required)

View Item