Wardana, Fauzi Rizky Riza (2026) Perbandingan Indeks Kerusakan Permukaan Jalan Dengan Metode Pavement Condition Index (PCI) dan Bina Marga Berbasis Sistem Informasi Geografis (Studi Kasus: Ruas Jalan Gayam - Sidorejo Kabupaten Kediri). Undergraduate thesis, UPN Veteran Jawa Timur.
|
Text (Cover)
21035010140-cover.pdf Download (1MB) | Preview |
|
|
Text (Bab 1)
21035010140-bab1.pdf Download (2MB) | Preview |
|
|
Text (Bab 2)
21035010140-bab2.pdf Restricted to Repository staff only until 26 May 2028. Download (15MB) |
||
|
Text (Bab 3)
21035010140-bab3.pdf Restricted to Repository staff only until 26 May 2028. Download (5MB) |
||
|
Text (Bab 4)
21035010140-bab4.pdf Restricted to Repository staff only until 26 May 2028. Download (52MB) |
||
|
Text (Bab 5)
21035010140-bab5.pdf Download (1MB) | Preview |
|
|
Text (Daftar Pustaka)
21035010140-daftarpustaka.pdf Download (1MB) | Preview |
|
|
Text (Lampiran)
21035010140-lampiran.pdf Restricted to Repository staff only Download (18MB) |
Abstract
Road pavement damage is a common problem that can affect the comfort, safety, and mobility of road users. The Gayam – Sidorejo Road section located in Kediri District has an important role as a transportation route that supports community activities; therefore, periodic evaluation of pavement conditions is required. This study aims to identify types of pavement damage, determine the road condition value using the Pavement Condition Index (PCI) method and the Bina Marga method, and map the distribution of road damage using a Geographic Information System (GIS). The research was conducted through field surveys to obtain data on the type, severity level, and dimensions of pavement damage along a road section of approximately 8.383 km which was divided into nine segments. The collected data were analyzed using the PCI method to determine the road condition index on a scale of 0 – 100 and the Bina Marga method to determine road condition levels and maintenance priorities. The results show that the identified damages include alligator cracking, edge cracking, longitudinal cracking, transverse cracking, rutting, patching, potholes, and surface wear. The PCI values range from 36.20 to 87.10, while the Bina Marga method indicates condition values between 2 and 6. GIS mapping successfully visualizes the spatial distribution of road damage, facilitating the identification of segments requiring priority maintenance.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||||||||
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||||||||||
| Divisions: | Faculty of Engineering > Departement of Civil Engineering | ||||||||||||
| Depositing User: | Majesty Fauzi Rizky Riza Wardana | ||||||||||||
| Date Deposited: | 26 May 2026 04:12 | ||||||||||||
| Last Modified: | 26 May 2026 06:35 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/52510 |
Actions (login required)
![]() |
View Item |
