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All Journal Publikasi Riset Orientasi Teknik Sipil (Proteksi) Jurnal Talenta Sipil
Yulandi, Wiki
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Civil Engineering, Building, Construction & Architecture Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

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Kajian Manajemen Pemeliharaan Jalan Berdasarkan Korelasi Nilai Kerusakan terhadap Nilai Roughness Jalan Berbasis Roadlab-Pro Yulandi, Wiki; Putri, Elsa Eka; Purnawan, Purnawan
Jurnal Talenta Sipil Vol 8, No 2 (2025): Agustus
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v8i2.980

Abstract

Road infrastructure is a critical component of land transportation systems, supporting both human mobility and the distribution of GOODs. To ensure user safety and comfort, roads must be maintained in optimal condition through appropriate and sustainable maintenance strategies. This study aims to formulate a road maintenance management strategy based on an analysis of the relationship between the International Roughness Index (IRI), as obtained through the Roadlab Pro application, and the extent of road damage as assessed by the Pavement Condition Index (PCI) method and the Bina Marga standard. A quantitative-descriptive method was employed, focusing on a 3-kilometer section of the Pondok–Pulau Sangkar Road in Kerinci Regency. Data were collected through a seven-day field survey, which included IRI measurements and visual damage assessments. The analysis revealed a very strong negative correlation between IRI and PCI values, indicating that higher IRI scores correspond to worse road conditions. Based on these findings, three maintenance budget planning scenarios were proposed: (1) maintenance based on actual damage, (2) routine annual maintenance, and (3) road upgrading in the first year, routine maintenance in the second year, followed by periodic maintenance from the third to the fifth year. The cost estimates encompass periodic, preventive, corrective, and routine maintenance, providing a comprehensive basis for medium-term planning. In conclusion, this study demonstrates that IRI data obtained from Roadlab Pro can serve as a reliable and efficient reference for evaluating road conditions and developing effective maintenance strategies based on the PCI approach.
ROAD MAINTENANCE MANAGEMENT STUDY BASED ON THE CORRELATION BETWEEN DAMAGE VALUES AND ROAD ROUGHNESS VALUES USING ROADLAB-PRO: KAJIAN MANAJEMEN PEMELIHARAAN JALAN BERDASARKAN KORELASI NILAI KERUSAKAN TERHADAP NILAI ROUGHNESS JALAN BERBASIS ROADLAB-PRO Yulandi, Wiki; Elsa Eka Putri; Purnawan
PUBLIKASI RISET ORIENTASI TEKNIK SIPIL (PROTEKSI) Vol 7 No 2 (2025): Vol.7 No 2 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/proteksi.v7n2.p141-149

Abstract

Road maintenance is important to maintain the safety and comfort of road users. Surveys are needed to determine the condition of cross-country roads. Road maintenance management along with budget costs based on the results of the correlation between the IRI method values (International Roughness Index) Software-based Roadlab Pro against the value of road surface damage by the PCI method (Pavement Condition Index) and Bina Marga can be done for the purpose of simplifying the survey process in evaluating road conditions and how to properly handle damage to the Pondok-Pulau Sangkar road section in Kerinci Regency. IRI value based on Roadlab Pro can be used to assess road conditions based on the PCI method because it has values that influence each other based on the results of correlation regression analysis with a coefficient value of 88.7%. Determination of the road maintenance budget is made based on 3 proposed scenarios which include maintenance according to needs or when damage occurs, maintenance every year, and periodic maintenance in the form of improvements in the first year, routine maintenance in the second year, and periodic maintenance from the third to the fifth year.
Co-Authors Elsa Eka Putri Mulyati Mulyati Purnawan Purnawan Purnawan