Analysis of Road Conditions Using the PCI and Bina Marga Methods on the Sanggau-Sekadau Section, West Kalimantan

ABSTRACT Purpose: This study aims to analyze the types of damage occurring on the national road section of the Sanggau-Sekadau city boundary and to determine the pavement condition using the Pavement Condition Index (PCI) method and the Bina Marga method. Additionally, this research seeks to identify suitable repair alternatives for the detected road damage, ensuring optimal road maintenance and serviceability. Methods/Design: A quantitative research approach was applied, utilizing field surveys to collect direct data on pavement damage. The PCI method and the Bina Marga method were used to assess the severity and classification of road damage. Statistical analysis was conducted to determine the pavement condition and recommend the most effective repair strategies. Findings: The results show that potholes are the most prevalent type of damage, contributing to 36% of the total identified issues. The PCI method analysis yielded an average PCI value of 65.5, categorizing the pavement condition as moderate (Fair), which requires periodic rehabilitation. The Bina Marga method classified the road section with a priority level of 5, indicating the necessity for scheduled maintenance. Repair recommendations based on the PCI method include patching and surface repair, while the Bina Marga method suggests asphalting (P2), crack sealing (P4), and patching (P5), depending on the severity of the damage. Practical implication: The findings of this study provide valuable insights for road maintenance agencies and policymakers in optimizing pavement management strategies. By utilizing both the PCI and Bina Marga methods, road authorities can make data-driven decisions to enhance road serviceability, minimize deterioration, and allocate maintenance resources efficiently.