Road Surface Assessment of The Kemlagi–Berat Kulon Road Section In Mojokerto District Using The Iri Method

The Kemlagi–Beratkulon road surface assessment in Mojokerto District covers a section of 3.637 km and features a combination of rigid pavement, flexible pavement, and asphalt. This road plays a critical role as a connecting link between Mojokerto District and Gresik District, supporting transportation and regional connectivity. The primary objective of this study is to evaluate the road surface condition, measure the extent of surface damage, and classify the condition using the International Roughness Index (IRI) method. Data collection was conducted through field surveys with the aid of the Roadroid application, providing real-time measurements of road roughness. The findings reveal that the highest e-IRI value recorded was 1.75 at STA 1+900 to STA 2+000, indicating a road condition classified as "GOOD" based on IRI standards. The study highlights the efficiency of the IRI method in assessing road conditions, ensuring accurate identification of surface damage levels ranging from good to severely damaged. Furthermore, the use of the Roadroid application proves effective in facilitating rapid and precise road surface evaluations. To enhance future assessments, this research suggests integrating alternative android-based applications for comparative analyses and conducting surveys during low-traffic periods to minimize data inaccuracies. These findings contribute to the broader understanding of road infrastructure management, emphasizing the importance of regular assessments to optimize maintenance efforts, extend road lifespan, and allocate resources effectively.

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Publication Details

Journal
Devotion Journal of Research and Community Service
Published
2025-03-28
DOI
https://doi.org/10.59188/devotion.v6i3.25445
Primary Topic
Geotechnical and construction materials studies
Type
article
Field-Weighted Citation Impact
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article

Road Surface Assessment of The Kemlagi–Berat Kulon Road Section In Mojokerto District Using The Iri Method

Risma Marleno, Wateno Oetomo, Fikri Jadmiko
Devotion Journal of Research and Community Service
Geotechnical and construction materials studies
article

Road Surface Assessment of The Kemlagi–Berat Kulon Road Section In Mojokerto District Using The Iri Method

Risma Marleno, Wateno Oetomo, Fikri Jadmiko
article en

Abstract

The Kemlagi–Beratkulon road surface assessment in Mojokerto District covers a section of 3.637 km and features a combination of rigid pavement, flexible pavement, and asphalt. This road plays a critical role as a connecting link between Mojokerto District and Gresik District, supporting transportation and regional connectivity. The primary objective of this study is to evaluate the road surface condition, measure the extent of surface damage, and classify the condition using the International Roughness Index (IRI) method. Data collection was conducted through field surveys with the aid of the Roadroid application, providing real-time measurements of road roughness. The findings reveal that the highest e-IRI value recorded was 1.75 at STA 1+900 to STA 2+000, indicating a road condition classified as "GOOD" based on IRI standards. The study highlights the efficiency of the IRI method in assessing road conditions, ensuring accurate identification of surface damage levels ranging from good to severely damaged. Furthermore, the use of the Roadroid application proves effective in facilitating rapid and precise road surface evaluations. To enhance future assessments, this research suggests integrating alternative android-based applications for comparative analyses and conducting surveys during low-traffic periods to minimize data inaccuracies. These findings contribute to the broader understanding of road infrastructure management, emphasizing the importance of regular assessments to optimize maintenance efforts, extend road lifespan, and allocate resources effectively.

Devotion Journal of Research and Community ServiceVol. 6(3)
Universitas 17 Agustus 1945 Surabaya (ID)
Openalex Percentile: Top 94%
Geotechnical and construction materials studies
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