PERBANDINGAN METODE INTERNATIONAL ROUGHNESS INDEX DENGAN PAVEMENT CONDITION INDEX UNTUK PENENTUAN KONDISI JALAN NASIONAL DI KOTA WAMENA (STUDI KASUS : RUAS JALAN WAMENA – HABEMA)

Pembangunan infrastruktur jalan merupakan suatu kebutuhan mutlak bagi pengembangan suatu wilayah agar tercapai kesinambungan dan pemerataan pembangunan pada setiap daerah serta membentuk struktur ruang dalam rangka mewujudkan sarana pembangunan nasional. Untuk membuka isolasi dan akses masyarakat terhadap perkembangan perekonomian di Kota Wamena, pemerintah melaksanakan pembangunan dan pemeliharaan jalan. Pemeliharaan jalan bertujuan untuk mempertahankan tingkat pelayanan sesuai dengan standar pelayanan minimum yang ditetapkan.Penelitian ini dilakukan pada ruas Jalan Wamena-Habema sepanjang 35,100 kilometer. Penelitian ini bertujuan untuk membandingkan kondisi jalan hasil pengukuran metode IRI dengan metode PCI. Data yang digunakan berupa data IRI dan PCI semester 2 tahun 2020 yang diperoleh dari Sistem Pengelolaan Database Jalan Nasional (SiPDJN) Direktorat Jenderal Bina Marga Kementerian Pekerjaan Umum dan Perumahan Rakyat.Hasil penelitian menunjukkan ada perbedaan kondisi jalan Wamena-Habema berdasarkan metode IRI dan metode PCI. Pada metode IRI 61,8% kondisi baik, 32,2% kondisi sedang. Kondisi rusak ringan dan rusak berat 4,0% dan 2,0%. Sedangkan pada metode PCI 49,6% kondisi baik, 9,7% kondisi sedang. Kondisi jelek dan parah 40,5% dan 0,3%. Dengan dilakukan penelitian kondisi jalan menggunakan metode IRI dan PCI pada ruas Jalan Wamena-Habema dapat memberikan deskripsi atau gambaran tentang data kondisi jalan eksisting. Data kondisi jalan dapat digunakan sebagai database untuk perencanaan dan pelaksanaan pemeliharaan jalan.

Statistical Study Based on the Kriging Method and Geographic Mapping in Rigid Pavement Defects in Southern Chile

ASTM D6433 is used to assess the need for maintenance of pavement sections. Although the Pavement Condition Index (PCI) factor calculation method provides reliable values, this method analyzes sections and defects individually and indicates current maintenance needs, but it cannot be used to predict the occurrence of new defects. Therefore, it is necessary to complement this method by considering variables that influence the occurrence of faults, among which are the geospatial distribution and the specific characteristics of the slabs. This research focuses on the identification of multiple types of disturbances that exist in Portland Cement Pavements (PCC), located in a high traffic area in the city of Valdivia (Chile). A spatial geostatistical relationship is established through visual inspection using geographical maps, as well as distribution, using the kriging method. This technique makes use of variograms that allow quantifying the parameters used in this study, thus expressing the spatial autocorrelation of the faults analyzed. From the results obtained by spatial geostatistics and kriging, it is possible to generate a data correlation for the distribution and characteristics of the streets considered. In addition, a co-kriging method is established instead of an ordinary kriging method. The relationship between observed and predicted values improved from 0.3327 to 0.5770. The width of the slabs, as well as some streets, is shown in our analysis to be unimportant. For better model accuracy, the number of covariates associated with the type of vehicle traffic, the age and shape of the slabs, and the construction techniques used for the pavement needs to increase.

EVALUASI KERUSAKAN PERKERASAN LENTUR DENGAN METODE PCI DAN SDI (STUDI KASUS: JALAN JATISARI, KARAWANG)

Large vehicles that repeatedly pass a road cause damage to the pavement of the Jatisari National Road, Karawang. Various pavement damage that occurs such as holes, patches, crocodile skin cracks, groove cracks, sungkur, roadside cracks, and subsidence. Pavement Condition Index (PCI) is a method commonly used to indicate the condition of road pavement, so that it can be known good handling to maintain the pavement. The Surface Distress Index (SDI) method can also be used to indicate the condition of the road surface. With the PCI method, the results of the calculation in the Pamanukan direction are classified as perfect at 78%, very good 14%, good 4% and moderate 4%. while the Cikampek direction is classified as perfect at 74%, very good 12%, good 8%, moderate 4%, and bad 2%. Using the SDI method, good results were obtained for both directions. Based on the results of the analysis, research using the PCI and SDI methods showed different results, because the PCI method observed all the damage that occurred on the pavement, while the SDI method only observed 4 elements of damage, so the results displayed were different. ABSTRAKKendaraan besar yang berulang kali melewati sebuah jalan menyebabkan kerusakan pada perkerasan Jalan Nasional Jatisari, Karawang. Berbagai Kerusakan perkerasan yang terjadi seperti, lubang, tambal, retak kulit buaya, retak alur, sungkur, retak tepi jalan, dan amblas. Pavement Condition Index (PCI) merupakan metode yang biasa digunakan untuk menunjukkan kondisi perkerasan jalan, sehingga bisa diketahui penanganan yang baik untuk memelihara perkerasan jalan tersebut. Selain itu, digunakan metode Surface Distress Index (SDI) untuk menunjukkan kondisi permukaan jalan. Dengan Metode PCI, hasil perhitungan pada arah Pamanukan digolongkan sempurna sebesar 78%, sangat baik 14%, baik 4% dan sedang 4%. sedangkan pada arah Cikampek digolongkan sempurna sebesar 74%, sangat baik 12%, baik 8%, sedang 4%, dan buruk 2%. Dengan metode SDI, diperoleh hasil Baik untuk kedua arah jalan. Berdasarkan hasil analisis, penelitian menggunakan metode PCI dan SDI menunjukkan hasil yang berbeda, dikarenakan dalam metode PCI mengamati semua kerusakan yang terjadi pada perkerasan jalan, sedangkan untuk metode SDI hanya mengamati 4 unsur kerusakan, sehingga hasil yang ditampilkan berbeda.

Penentuan Metode Pemeliharaan dan Penanganan Lapis Permukaan Lentur Jalan Menggunakan Metode Pavement Condition Index (PCI)

Jalan yang baik akan berpengaruh baik terhadap kinerja masyarakat, seperti: aktivitas jual beli komoditas pangan oleh masyarakat, keperluan kesehatan masyarakat, pendidikan anak dan lain sebagainya. Dalam mewujudkan jalan yang baik dan nyaman bagi masyarakat, pemerintah tidak hanya membangun jalan, melainkan pemerintah melakukan pemeliharaan jalan terhadap jalan yang mengalami kerusakan. Kebutuhan adanya pemeliharaan pada lapis permukaan lentur untuk mempertahankan kemantapan jalan. Tujuan Penelitian untuk mengetahui jenis dan tingkat kerusakan pada jalan dengan perkerasan lentur dan Menentukan jenis pemeliharaan yang diperlukan sesuai dengan tingkat kerusakan jalan tersebut. Data kerusakan didapatkan dengan pengamatan langsung / visual pada objek penelitian. Oleh karena itu, dibutuhkan suatu data informasi yang dapat membantu dalam memperoleh informasi dan melakukan analisis terhadap jenis penanganan prasarana jalan. Metode yang digunakan untuk menganalisis dan pengambilan keputusan menggunakan Sistem Pavement Condition Index (PCI) dengan menghitung kadar kerusakan (Density), nilai pengurangan (Deduct Value), Total Deduct Value (TDV), Corect Deduct Value (CDV) dan Nilai PCI. Analisa data. Hasil analisa terhadap 7 ruas jalan di kota bogor didapat nilai PCI yang berbeda – beda dan jenis penanganan yang berbeda. Jl. Kencana Nilai PCI 70 jenis pemeliharaan rehabilitas, Jl. Beo Nilai PCI 95 jenis pemeliharaan rutin, Jl. Bincarung nilai PCI 75 jenis pemeliharaan berkala, Jl. Kesehatan nilai PCI 91 Jenis pemeliharaan Rutin, Jl. Kukupu Nilai PCI 59 jenis pemeliharaan berkala, Jl. Pemuda Nilai PCI 89 jenis pemeliharaan rutin, Jl. Puter nilai PCI 28 jenis penanganan rehabilitas. Berdasarkan hasil survey lapangan didapatkan Jenis dan tingkat kerusakan pada ruas jalan tersebut adalah Patching 55 %, Potholes 34%, Alligator Cracking 7%, Block craking 5%, LT Cracking 3%, Depresion 3%. Berdasarkan nilai PCI yang didapatkan maka persentase Jenis penanganan yang diperlukan sesuai dengan tingkat kerusakan jalan diantaranya Pemeliharaan rutin 43%, Pemeliharaan berkala 29%, Pemeliharaan rehabilitas 14 % dan Pemeliharaan Rekontruksi 14%.

Pavement Maintenance Decision Making Based on Optimization Models

Pavement maintenance prioritization considering both quality and cost is an important decision-making problem. In this paper, the actual pavement condition index of city roads was calculated using municipal patrol data. A linear optimization model that maximized maintenance quality with limited maintenance costs and a multi-objective optimization model that maximized maintenance quality while minimizing maintenance costs were developed based on the pavement condition index. These models were subsequently employed in making decisions for actual pavement maintenance using sequential quadratic programming and a genetic algorithm. The results showed that the proposed decision-making models could effectively address actual pavement maintenance issues. Additionally, the results of the single-objective linear optimization model verified that the multiobjective optimization model was accurate. Thus, they could provide optimal pavement maintenance schemes for roads according to actual pavement conditions. The reliability of the models was investigated by analyzing their assumptions and validating their optimization results. Furthermore, their applicability in pavement operation-related decision making and preventive maintenance for roads of different grades was confirmed.

Automated Pavement Distress Detection Using Image Processing Techniques

Pavement crack and pothole identification are important tasks in transportation maintenance and road safety. This study offers a novel technique for automatic asphalt pavement crack and pothole detection which is based on image processing. Different types of cracks (transverse, longitudinal, alligator-type, and potholes) can be identified with such techniques. The goal of this research is to evaluate road surface damage by extracting cracks and potholes, categorizing them from images and videos, and comparing the manual and the automated methods. The proposed method was tested on 50 images. The results obtained from image processing showed that the proposed method can detect cracks and potholes and identify their severity levels with a medium validity of 76%. There are two kinds of methods, manual and automated, for distress evaluation that are used to assess pavement condition. A committee of three expert engineers in the maintenance department of the Mayoralty of Baghdad did the manual assessment of a highway in Baghdad city by using a Pavement Condition Index (PCI). The automated method was assessed by processing the videos of the road. By comparing the automated with the manual method, the accuracy percentage for this case study was 88.44%. The suggested method proved to be an encouraging solution for identifying cracks and potholes in asphalt pavements and sorting their severity. This technique can replace manual road damage assessment.

Pengaruh Kerusakan Jalan Terhadap Nilai Ekonomi Penanganan Konstruksi Jalan

This study aims to analyze the value of the Pavement Condition Index (PCI), analyze the amount of the budget needed to deal with roaddamage, and analyze the value of the influence between the value ofthe PCI and the budget for road repair on the Gunung Jaya - PoliPoliaroad section. The results of this study indicate that the pavement condition index(PCI) of Gunung Jaya - Poli-Polia Road is 52.5 in the mediumcategory. The total budget required to deal with the damage to theGunung Jaya - Polia-Polia road is Rp. 12,085,500,000.00. PCI valueaffects the budget plan of 21.5%.