EVALUASI KONDISI PERKERASAN MENGGUNAKAN METODE INDEKS KONDISI PERKERASAN JALAN DATUK KABU: Evaluation Of Pavement Condition Using Pavement Condition Index Method At Datuk Kabu Road

Eunike Priscilla Dopen Purba; Frans Tomy Syahputra Butarbutar; Panji Marshando; Pagit Juni Sartika Br. Tarigan

doi:10.59003/nhj.v6i5.2355

Authors

Eunike Priscilla Dopen Purba Politeknik Negeri Medan, Sumatra Utara, Indonesia
Frans Tomy Syahputra Butarbutar Politeknik Negeri Medan, Sumatra Utara, Indonesia
Panji Marshando Politeknik Negeri Medan, Sumatra Utara, Indonesia
Pagit Juni Sartika Br. Tarigan Politeknik Negeri Medan, Sumatra Utara, Indonesia

DOI:

https://doi.org/10.59003/nhj.v6i5.2355

Keywords:

Pavement Condition Index (IKP), pavement condition, pavement distress, structural improvement, MDPJ 2024

Abstract

Roads are an important part of transportation infrastructure that support community mobility and economic growth. As the service life increases, traffic volume rises, and environmental factors affect the pavement, the condition of road pavement will deteriorate, making evaluation necessary to determine the level of damage and appropriate treatment. This study aims to analyze the pavement condition of Datuk Kabu Road using the Pavement Condition Index (IKP) method to determine the pavement condition category and recommend appropriate treatment based on the 2024 Pavement Design Manual (MDPJ 2024). The study was conducted on a 3-km section of Datuk Kabu Road, which was divided into 50-meter segments. Data were obtained through visual surveys by identifying the type, severity, and quantity of pavement distress in each sample unit. The IKP value was then calculated to determine the pavement condition. The results showed that the average IKP value of the Datuk Kabu Road section was 56.21, indicating that the pavement condition requires treatment. Based on the classification in MDPJ 2024, the recommended treatment is structural improvement. The results of this study are expected to serve as a reference for future research by incorporating additional data, such as traffic volume, drainage conditions, and other relevant data.

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