Analisis Perubahan Kondisi Perkerasan Jalan di Jembatan Suramadu Berbasis Perbandingan Multiperiode Akuisisi Data Point Cloud LIDAR

Alifiansyah, Mochamad Gading (2026) Analisis Perubahan Kondisi Perkerasan Jalan di Jembatan Suramadu Berbasis Perbandingan Multiperiode Akuisisi Data Point Cloud LIDAR. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Infrastruktur jalan memiliki peran penting dalam mendukung mobilitas dan aktivitas ekonomi, sehingga kondisi perkerasan perlu dipantau secara akurat dan berkelanjutan. Penelitian ini bertujuan untuk menganalisis perubahan kondisi perkerasan jalan pada Jembatan Suramadu menggunakan data point cloud LIDAR berbasis Airborne Laser Scanning (ALS) yang dikombinasikan dengan orthophoto. Metode yang digunakan meliputi pengolahan point cloud menjadi Digital Elevation Model (DEM), identifikasi kerusakan melalui interpretasi visual orthophoto, serta analisis kuantitatif kedalaman lubang berdasarkan data elevasi. Nilai elevasi referensi ditentukan menggunakan rata-rata elevasi sisi kiri dan kanan untuk mempertimbangkan kemiringan melintang jalan. Hasil penelitian menunjukkan adanya dinamika perubahan kondisi perkerasan yang ditandai oleh peningkatan dan penurunan kedalaman lubang pada beberapa titik. Peningkatan kedalaman mengindikasikan proses degradasi, sedangkan penurunan kedalaman hingga mencapai nol atau negatif menunjukkan adanya perbaikan jalan yang terverifikasi melalui perubahan visual pada orthophoto. Perubahan kedalaman pada beberapa titik mencapai beberapa sentimeter dan mempengaruhi klasifikasi tingkat bahaya dari tinggi menjadi rendah. Selain itu, perubahan kondisi lebih dominan terjadi pada aspek vertikal dibandingkan luas area. Penelitian ini menunjukkan bahwa integrasi LIDAR multiperiode dan orthophoto efektif dalam mengidentifikasi dan mengevaluasi kerusakan perkerasan jalan secara akurat.
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Road infrastructure plays an important role in supporting mobility and economic activities; therefore, pavement conditions need to be monitored accurately and continuously. This study aims to analyze changes in pavement conditions on the Suramadu Bridge using LIDAR point cloud data based on Airborne Laser Scanning (ALS) combined with orthophoto imagery. The method includes processing point cloud data into a Digital Elevation Model (DEM), identifying pavement distress through visual interpretation of orthophotos, and conducting quantitative analysis of pothole depth based on elevation data. The reference elevation is determined using the average elevation of the left and right sides to account for the cross slope of the road surface. The results indicate dynamic changes in pavement conditions, characterized by both increases and decreases in pothole depth at several observation points. Increased depth indicates ongoing degradation, while reductions to zero or negative values indicate repair activities, which are ALS verified through visual changes in the orthophoto. Depth changes at several points reach several centimeters and influence the hazard classification from high to low levels. In addition, pavement changes are more dominant in the vertical aspect rather than in the horizontal extent. This study demonstrates that the integration of multitemporal LIDAR data and orthophotos is effective for accurately identifying and evaluating pavement distress.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	DEM, Jembatan Suramadu, LIDAR, multiperiode, perkerasan jalan, UAV, DEM, LIDAR, multitemporal, pavement condition, Suramadu Bridge, UAV
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography > GA102.4.R44 Cartography--Remote sensing G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography > GA139 Digital Elevation Model (computer program)
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Mochamad Gading Alifiansyah
Date Deposited:	16 Jul 2026 08:31
Last Modified:	16 Jul 2026 08:31
URI:	http://repository.its.ac.id/id/eprint/135210

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