creators_name: ANNISA, LARASATI
creators_id: 2015011105
type: other
datestamp: 2025-02-20 07:54:39
lastmod: 2025-02-20 07:54:39
metadata_visibility: show
title: KORELASI ANTARA NILAI INTERNATIONAL ROUGHNESS INDEX
(IRI) DAN PAVEMENT CONDITION INDEX (PCI) UNTUK PREDIKSI

KERUSAKAN RUAS JALAN
ispublished: pub
subjects: 600
subjects: 620
subjects: 690
full_text_status: restricted
abstract: Jalan yang sering dilewati banyak kendaraan akan mengalami penurunan kualitas
jika tidak dipelihara secara rutin. Untuk menilai kondisi jalan, digunakan metode
International Roughness Index (IRI) dan Pavement Condition Index (PCI).
Penelitian ini mengidentifikasi hubungan antara IRI dan PCI serta menganalisis
tingkat kerusakan jalan. Berdasarkan penelitian di batas Kota Bandar Lampung
hingga Jalan Kurungannyawa, nilai rata-rata PCI adalah 79,96 (kondisi baik) dan
IRI adalah 4,64 (kekasaran sedang). IRI lebih unggul dalam menilai kenyamanan
berkendara karena mengukur kekasaran secara akurat menggunakan profilometer,
sedangkan PCI menggunakan survei visual fokus pada kerusakan struktural.
Terdapat korelasi negatif signifikan antara PCI dan IRI (R = -0,449),menunjukkan
semakin tinggi PCI, semakin kecil IRI. Koefisien determinasi (R2) sebesar 0,216
menunjukkan 21% variasi PCI dipengaruhi oleh IRI, dengan persamaan regresi
PCI = 109,373 – 7,664(IRI) + 0,055(IRI)3.

Kata kunci : Korelasi, International Roughness Index (IRI), Pavement Condition

Index (PCI)

A road that is frequently passed by a lot of vehicles will suffer a decline in quality
if not regularly maintained. To assess road conditions, use the International
Roughness Index (IRI) and Pavement Condition Index methods. (PCI). The study
identifies the relationship between IRI and PCI as well as analyzes the level of
road damage. Based on research on the border of Bandar Lampung City to the
Kurungannyawa Road, the average PCI score is 79.96 (good condition) and the
IRI is 4.64 (moderate roughness). The IRI is superior in assessing driving comfort
by measuring stiffness accurately using a profilometer, while the PCI uses visual
surveys focused on structural damage. There is a significant negative correlation
between PCI and IRI (R = -0,449), indicating that the higher the PCI, the smaller
the IRI. The determination coefficient (R2) of 0.216 indicates that 21% of PCI
variations are influenced by IRI, with the regression equation PCI = 109,373 –
7,664(IRI) + 0,055(IRI)3.

Keywords : Correlation, International Roughness Index (IRI), Pavement

Condition Index (PCI)
date: 2024-07-16
date_type: published
publisher: FAKULTAS TEKNIK
place_of_pub: UNIVERSITAS LAMPUNG
citation:   ANNISA, LARASATI  (2024) KORELASI ANTARA NILAI INTERNATIONAL ROUGHNESS INDEX (IRI) DAN PAVEMENT CONDITION INDEX (PCI) UNTUK PREDIKSI KERUSAKAN RUAS JALAN.  FAKULTAS TEKNIK, UNIVERSITAS LAMPUNG.     
document_url: http://digilib.unila.ac.id/84739/1/ABSTRAK%20-%20affan%20computer.pdf
document_url: http://digilib.unila.ac.id/84739/2/SKRIPSI%20FULL%20-%20affan%20computer.pdf
document_url: http://digilib.unila.ac.id/84739/3/SKRIPSI%20FULL%20TANPA%20BAB%20PEMBAHASAN%20-%20affan%20computer.pdf