Penilaian Tingkat Kerusakan pada Ruas Jalan Purwodadi-Krendetan dan Jalan Purwodadi-Ngombol Menggunakan Metode Pavement Condition Index (PCI) dan Bina Marga
Laila Shofiana, Ir. Heru Budi Utomo, S.T., M.T.
2023 | Tugas Akhir | D4 TEKNIK PENGELOLAAN DAN PEMELIHARAAN INFRASTRUKTUR SIPIL
The Purworejo District roads serve as crucial road links between villages and municipalities within the Purworejo District. The total road network comprises 234 road sections, including two specific segments: the Purwodadi-Krendetan road (STA 0+000 to 2+200) and the Purwodadi-Ngombol road (STA 0+000 to 3+200). The traffic volume on these roads increases annually, thereby diminishing the road's capacity to bear the loads placed upon it. Consequently, it is imperative to assess the road surface condition by evaluating the existing road conditions to ensure the longevity and serviceability of the roads. This assessment employs the Pavement Condition Index (PCI) and the Bina Marga method.
The road assessment methodology relies on road geometry data, the extent of road damage, and daily traffic volume obtained from direct field observations in collaboration with Bina Marga of the Purworejo District.
Based on the analysis results, it is determined that the Pavement Condition Index (PCI) method reveals the condition of the Purwodadi-Krendetan road with a PCI value of 47,62, indicating poor condition. This categorizes it as needing rehabilitation. Similarly, the Purwodadi-Ngombol road, with a PCI value of 56,31, also falls within the poor category, necessitating rehabilitation measures. The Bina Marga method assigns priority values, with the Purwodadi-Krendetan road receiving a priority value of 7.3, indicating the need for a routine maintenance program. Likewise, the Purwodadi-Ngombol road receives a priority value of 6.5, signifying the requirement for periodic maintenance. These analysis results are then used to create road condition maps, simplifying the representation of road conditions.
Kata Kunci : Penilaian Kondisi Jalan, Pavement Condition Index, Bina Marga, Pemeliharaan Jalan, Peta Kondisi Jalan