scholarly journals EVALUASI KONDISI PERKERASAN JALAN NASIONAL SERTA ALTERNATIF PENANGANANNYA (STUDI KASUS : JALAN DAAN MOGOT)

2021 ◽  
Vol 4 (3) ◽  
pp. 753
Author(s):  
Alpin Chayan Soeseno ◽  
Anissa Noor Tajudin

Daan Mogot street is part of the National Road Route One (1). Daan Mogot street (Section Number: 2000111) under study is a 2.5 KM two-way four-lane flexible pavement road, with a lane width of 3.5 m. The location chosen is the point of the worst congestion on Daan Mogot street, with the most road damage conditions. The purpose of this study is to analyze the condition of the road pavement and what treatment should we do for the damage on Daan Mogot street. The stages in this road pavement research are divided into 2 stages, firstly calculating the damage on the road, and choose alternative treatment using existing methods. The method used is the Pavement Condition Index (IKP) method and evaluates the handling of damage in the last 3 years. The result of the research is that the most damage is patch and hole damage, and the IKP value for each research unit can be seen that the pavement quality varies, from the level of Very Poor, Poor, Fair, Satisfactory, to Good. The average IKP value on Daan Mogot street in the direction of Tangerang from KM +14,000 to KM+16,500 is 87.09 with a Good condition class. ABSTRAKJalan Daan Mogot merupakan bagian dari Jalan Nasional Rute Satu (1). Jalan Daan Mogot (Nomor Ruas : 2000111) yang diteliti merupakan jalan dengan perkerasan lentur sepanjang 2,5 KM dua arah empat lajur, dengan lebar perlajur 3,5 m. Lokasi yang dipilih merupakan titik kemacetan terparah di Jalan Daan Mogot, dengan kondisi kerusakan jalan terbanyak. Tujuan penelitian ini untuk menganalisis kondisi perkerasan jalan dan penanganan apa yang harus kita lakukan terhadap kerusakan yang terjadi di Jalan Daan Mogot. Tahapan dalam penelitian perkerasan jalan ini dibagi menjadi 2 tahapan yaitu, pertama menghitung kerusakan yang ada di jalan tersebut, dan menentukan alternatif penanganan yang tepat dengan menggunakan metode-metode yang ada. Metode yang dipakai adalah metode Indeks Kondisi Perkerasan (IKP) dan melakukan evaluasi penanganan kerusakan dalam 3 tahun terakhir. Hasil penelitian yang diperoleh adalah kerusakan terbanyak ada pada kerusakan tambalan dan lubang, serta nilai IKP untuk masing masing unit penelitian dapat diketahui kualitas perkerasan beragam, dari tingkat Sangat Parah, Parah, Sedang, Baik, hingga Sangat Baik. Hasil rata-rata nilai IKP Jalan Daan Mogot arah Tangerang dari KM +14,000 s/d KM+16,500 adalah 87,09 dengan kelas kondisi Sangat Baik.

Author(s):  
Muhammad Isradi ◽  
Zaenal Arifin ◽  
Asep Sudrajat

Bogasari Road, which is located in Citeureup sub-district, Bogor Regency, within the PT Indocement Tunggal Prakarsa industrial area, is a road that uses rigid pavement. The road is always passed by heavily loaded vehicles that affect road pavement conditions and the level of comfort and safety for road users. The study's purpose is to determine the average daily traffic volume, determine the value of conditions in the rigid pavement, and provide input to relevant agencies in terms of solutions and road repair costs. The method used in the analysis is the Pavement Condition Index (PCI). The study shows the average daily traffic of 2,883 vehicles/hour/day and the average pavement condition value of 66.57 with a good rating, or in good condition. It also provides a method of repair by functional means.


2021 ◽  
Vol 4 (4) ◽  
pp. 845
Author(s):  
Ricky Hermawan ◽  
Anissa Noor Tajudin

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.


2020 ◽  
Vol 3 (2) ◽  
pp. 81-96
Author(s):  
Muhammad Djaya Bakri

The Gunung Selatan Road is a road of secondary collector with the class of road is IIIB, has a width of 6.0 meters and a length of 4.109 km, has an important role in driving the economy and connecting sub-districts in the north and west with sub-districts in the central and eastern parts of the city of Tarakan. The use of this road is directed to serve the transportation of construction materials which generally have a load to overloading which has the potential to cause damage to the road. This study aims to assess the condition of road pavement, using the method of the Pavement Conditition Index (PCI). Observation areas along the road segment are divided into road segments or sample units of observation with a width of 6.0 meters and a length of 50 m, so that the size of each segment of 300 m 2 is obtained, with a total of 40 road sample units. The types of damage found at the time of observation include: alligator crack, bleeding, block cracking, corrugation, depression, edge cracking, longitudinal/transverse cracking, patching and utility cut patching, pothole, and weathering/raveling. The average assessment results show the road is in criteria is very good condition with a value of PCI = 71, but there is one observation that gives a criteria is poor, namely the sample unit at Sta. 1 + 350 to 1 + 400 with a PCI value of 29.5. This happened, at the time of observation the field condition was damaged and was being repaired.


2018 ◽  
Vol 1 (3) ◽  
pp. 667-678
Author(s):  
Mulyadi Mulyadi ◽  
Muhammad Isya ◽  
Sofyan M. Saleh

Abstract: Blangkejeren - Lawe Aunan road conditions overall is on the slopes of the mountains which is strongly influenced by local environmental factors such as drainage, topography, soil conditions, material conditions and vehicle load conditions across the road. It should be noted in order to avoid a decrease in the road quality due to road surface damage that can affect the traffic safety, comfort and smoothness.. Therefore, it is necessary to study the evaluation of the condition of the damaged road surface and the local factors that affect the damage in order to avoid a decrease in the roads quality. This study took place on Blangkejeren - Lawe Aunan roads started from Sta. 529 + 700 - Sta. 535 + 206. Generally, the condition of roads in this segment were found damage that disturb the comfort, smoothness and safety of the roads users. In this study, the primary data obtained by actual surveys in the form of data field length, width, area, and depth of each type of damage as well as local factors that lead to such damage. Actual field surveys conducted along the 5.506 km, with the distance interval of each segment is 100 m. The secondary data obtained from the relevant institutions and other materials related to this research. This study analyzed the PCI method (Pavement Condition Index) to obtain the level of damage in order to know how to handle, while for the identification of the damage done by observation factors descriptively appropriate observation in the field such as the number of damage points. The results of this study found that the type of damage caused to roads is damage to the cover layer, a hole, and curly. This type of damage that commonly occurs on the road Blangkejeren - Lawe Aunan is damage to the edges with a percentage of 87.30%. The local factors that greatly affect drainage on the percentage of damage is 62.00%. PCI average value is 13.47 which indicates a very bad condition (very poor) and requires maintenance or improvement of reconstruction.Abstrak: Kondisi jalan Blangkejeren – Lawe Aunan secara keseluruhan berada di lereng pegunungan sangat dipengaruhi oleh faktor lingkungan setempat seperti drainase, topografi, kondisi tanah, kondisi material dan kondisi beban kendaraan yang melintasi jalan tersebut. Hal ini perlu diperhatikan agar tidak terjadi penurunan kualitas jalan akibat kerusakan permukaan jalan sehingga dapat mempengaruhi keamanan, kenyamanan, dan kelancaran dalam berlalu lintas. Oleh karena itu, perlu dilakukan penelitian evaluasi terhadap kondisi permukaan jalan yang mengalami kerusakan serta faktor setempat yang mempengaruhi kerusakan tersebut agar tidak terjadi penurunan kualitas jalan. Penelitian ini mengambil lokasi di ruas jalan Blangkejeren – Lawe Aunan yang dimulai dari Sta. 529+700 - Sta. 535+206. Umumnya kondisi ruas jalan pada segmen ini banyak ditemukan kerusakan-kerusakan yang dapat mengganggu kenyamanan, kelancaran, dan keamanan pengguna jalan. Dalam penelitian ini data primer diperoleh dengan melakukan survei aktual lapangan yaitu berupa data panjang, lebar, luasan, dan kedalaman tiap jenis kerusakan serta faktor setempat yang mengakibatkan kerusakan tersebut. Survei aktual lapangan dilakukan sepanjang 5,506 km, dengan jarak interval setiap segmen adalah 100 m. Adapun data sekunder diperoleh dari lembaga terkait dan bahan lainnya yang berhubungan dengan penelitian ini. Penelitian ini dianalisis dengan metode PCI (Pavement Condition Index) untuk mendapatkan tingkat kerusakan agar diketahui cara penanganannya, sedangkan untuk identifikasi faktor kerusakannya dilakukan dengan pengamatan secara diskriptif sesuai hasil pengamatan di lapangan berupa jumlah titik kerusakan. Hasil penelitian ini didapatkan bahwa jenis kerusakan yang terjadi pada ruas jalan adalah kerusakan lapisan penutup, lubang, dan keriting. Jenis kerusakan yang umum terjadi pada ruas jalan Blangkejeren – Lawe Aunan adalah kerusakan tepi dengan persentase 87,30 %. Faktor setempat yang sangat mempengaruhi kerusakan adalah drainase dengan persentase 62,00%. Nilai PCI rata-rata yaitu 13,47 yang menunjukkan kondisi sangat buruk (very poor) dan memerlukan pemeliharaan peningkatan atau rekonstruksi.


2018 ◽  
Vol 195 ◽  
pp. 04006 ◽  
Author(s):  
Donny A. Putra ◽  
Mamok Suprapto

There are two methods of road assessment, ie, visually and using tools. Visual assessment makes use of the PCI (Pavement Condition Index), while assessment with the Roadroid app can be used to obtain the value of IRI (International Roughness Index) with less cost. Functional assessment of roads in the field more use of visual methods. This method is influenced by the subjectivity of surveyors. Therefore, the assessment using the visual method should be correlated with the assessment method using tools, in order to reduce the subjectivity of road assessment. The research location used is Magetan District Road consisting of 5 road segments. The result shows that the r road assessment using the PCI method has a very good condition, and using IRI Roadroid has a Medium condition. There is a negative (r) correlation between PCI and IRI Roadroid, valued at -0.23. The negative correlation shows that both judgments reversed. Comparison of PCI assessment with IRI Roadroid has a low correlation value and with ttest, yields no comparison of correlation. This result is because the PCI and IRI equally assess the pavement, using different methods.


Author(s):  
Fareed M. A. Karim ◽  
Khaled Abdul Haleem Rubasi ◽  
Ali Abdo Saleh

Abstract The pavement condition index (PCI) is a simple, convenient and inexpensive way to monitor the condition of the surface of roads, identify maintenance and rehabilitation (M-and-R) needs as well as ensure that road maintenance budgets are spent wisely. In this research, the pavement condition was evaluated in terms of the surface distresses existing at the time of the field evaluation. The PCI procedure was used in this research because it deals with the subject of pavement distress identification most comprehensively and is based on a sound statistical technique of pavement sampling. Because of limited maintenance fund availability in Yemen, timely and rational determination of M-and-R needs and priorities are very important factors. The PAVER™ (1982) condition rating procedure, as described in the Technical Manual TM 5-623, Pavement Maintenance Management, which is based on the PCI, was used in this study to evaluate a major heavy-traffic road corridor connecting Aden city (the commercial capital of Yemen) with major cities located in the northern region of the country. Based on the PCI of the road sections, the necessary maintenance or rehabilitation procedure is suggested.


Electronics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 3 ◽  
Author(s):  
Seunghyun Choi ◽  
Myungsik Do

In Korea, data on pavement conditions, such as cracks, rutting depth, and the international roughness index, are obtained using automatic pavement condition investigation equipment, such as ARAN and KRISS, for the same sections of national highways annually to manage their pavement conditions. This study predicts the deterioration of road pavement by using monitoring data from the Korean National Highway Pavement Management System and a recurrent neural network algorithm. The constructed algorithm predicts the pavement condition index for each section of the road network for one year by learning from the time series data for the preceding 10 years. Because pavement type, traffic load, and environmental characteristics differed by section, the sequence lengths (SQL) necessary to optimize each section were also different. The results of minimizing the root-mean-square error, according to the SQL by section and pavement condition index, showed that the error was reduced by 58.3–68.2% with a SQL value of 1, while pavement deterioration in each section could be predicted with a high coefficient of determination of 0.71–0.87. The accurate prediction of maintenance timing for pavement in this study will help optimize the life cycle of road pavement by increasing its life expectancy and reducing its maintenance budget.


2020 ◽  
Vol 13 (37) ◽  
pp. 3904-3909
Author(s):  
Miguel Figueroa ◽  

Objectives: The present research aims to find the relationship in the field that the road condition index has concerning its operating speed, based on the expected assumption that the worse the condition index, the lower the road operating speed will be. Methodology: The methodology used to carry out this research consisted in the estimation of the condition index (PCI) and the measurement of speeds in different road sections of the city of Barranquilla (Colombia), where a record of the surface conditions of the pavement from 0 when it was failed and 100 for pavement in excellent condition. In the case of speed recording, the plate method was used to obtain operating speeds. Then, using the UNALPCIA software, the value of the PCI of the evaluated road sections was estimated and then correlated with the operating speeds obtained in the field of those sections. Findings: The main findings obtained from the investigation consist of the effective relationship between the value of the PCI and the operating speed, having that the lower the condition index, the lower the operating speed on the road due to the presence of damage to the road pavement surface. Novelty: The study of the surface conditions of the pavement in the cities of Colombia is little studied, which leads to policies associated with the maintenance of pavement structures becoming late, given that the comfort and speed of operation allowed by these do not is appropriate, even though its structural function is still in force. Keywords: Condition index; comfort; policies; surface condition


2019 ◽  
Vol 258 ◽  
pp. 03019 ◽  
Author(s):  
Rijal Psalmen Hasibuan ◽  
Medis Sejahtera Surbakti

Road is an infrastructure that built to support the movement of the vehicle from one place to another for different purposes. Today, it is often found damage to road infrastructure, both local roads, and arterial roads. Therefore, to keep the pavement condition to remain reliable, in Indonesia has a periodic program by conducting an objective functional inspection of roads regulated by Bina Marga using the International Roughness Index (IRI). However, the IRI examination is not sufficient to represent the actual field condition; it is necessary to perform subjective functional examination by appraising the road one of them is Pavement Condition Index (PCI, ASTM D 6433). This method has been widely applied in some countries because it has many advantages. However, to do this inspection requires considerable cost, then there needs to be a model to get the relationship between these two parameters of the road. The selected case study was arterial road segment in Medan City, that is in Medan inner ring road. Based on the results of the analysis, there is a difference between the functional conditions of PCI and IRI. The equation derived from these two parameters is by exponential regression equation, with equation IRI = 16.07exp-0.26PCI. with R2 of 59% with correlation coefficient value (r) of -0.768. The value of R2 indicates that PCI gives a strong influence on IRI value.


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