Penilaian Kualitas Permukaan Jalan dengan Penggunaan Pavement Condition Index (PCI) di Jalan Adiwerna II, Kabupaten Tegal

This study evaluates the pavement condition of 3,300 meters of Adiwerna Highway II using the Pavement Condition Index (PCI) method based on the ASTM D6433-18 standard. The road is divided into 18 segments to facilitate analysis, with data obtained through visual surveys. The results show five main types of damage, dominated by patches (84%). PCI values ​​range from 38–86 with an average of 69 ("Fair" category), indicating the need for planned maintenance. The most critical segment is at STA 3+100–3+200 (PCI 38). The study recommends a more economically efficient preventive maintenance strategy, and suggests specific treatments according to the type of damage. This study supports the development of data-driven road asset management for infrastructure maintenance optimization.

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Publication Details

Journal
JURAL RISET RUMPUN ILMU TEKNIK
Published
2024-10-31
DOI
https://doi.org/10.55606/jurritek.v3i2.5433
Primary Topic
Urban Transport Systems Analysis
Type
article
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article

Penilaian Kualitas Permukaan Jalan dengan Penggunaan Pavement Condition Index (PCI) di Jalan Adiwerna II, Kabupaten Tegal

Suprapto Hadi, Riza Phahlevi Marwanto, Azel Rizal Jovian
JURAL RISET RUMPUN ILMU TEKNIK
Urban Transport Systems Analysis
article

Penilaian Kualitas Permukaan Jalan dengan Penggunaan Pavement Condition Index (PCI) di Jalan Adiwerna II, Kabupaten Tegal

Suprapto Hadi, Riza Phahlevi Marwanto, Azel Rizal Jovian
article en

Abstract

This study evaluates the pavement condition of 3,300 meters of Adiwerna Highway II using the Pavement Condition Index (PCI) method based on the ASTM D6433-18 standard. The road is divided into 18 segments to facilitate analysis, with data obtained through visual surveys. The results show five main types of damage, dominated by patches (84%). PCI values ​​range from 38–86 with an average of 69 ("Fair" category), indicating the need for planned maintenance. The most critical segment is at STA 3+100–3+200 (PCI 38). The study recommends a more economically efficient preventive maintenance strategy, and suggests specific treatments according to the type of damage. This study supports the development of data-driven road asset management for infrastructure maintenance optimization.

JURAL RISET RUMPUN ILMU TEKNIKVol. 3(2)
Openalex Percentile: Top 66%
Urban Transport Systems Analysis
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