Analysis of Pavement Damage and Maintenance Priorities Using the Pavement Condition Index Method: A Case Study of Jalan Datuk Setia Maharaja, Pekanbaru
DOI:
https://doi.org/10.61978/logistica.v4i2.1729Keywords:
Pavement Condition Index, pavement distress, maintenance priority, flexible pavement, pavement management system, road maintenance, pavement evaluationAbstract
Road pavement deterioration reduces transportation safety, ride quality, and operational efficiency, making systematic condition assessment essential for maintenance planning. This study evaluates pavement condition along Jalan Datuk Setia Maharaja, Pekanbaru using the Pavement Condition Index (PCI) method, identifies dominant distresses, and recommends segment-level maintenance strategies. A quantitative descriptive approach analyzed secondary survey data from eight segments covering approximately 1.62 km, applying standardized PCI procedures based on Total Deduct Value and Corrected Deduct Value, with maintenance priority determined through a Priority Score calculated as 100 − PCI. Results show an average PCI of 53.5, indicating overall Fair condition, with individual values ranging from 40 to 76. Segments 1 and 5 recorded the lowest PCI values and highest priority scores, requiring urgent intervention, while Segment 3 needed only routine maintenance. Among 225 identified distress occurrences across fourteen categories, patching dominated at 33.78%, followed by potholes (16.00%), longitudinal cracking (14.22%), and ravelling (13.33%), indicating recurring localized repairs and continuing structural deterioration. The study concludes that integrating PCI with Priority Score and distress analysis enhances maintenance decision-making and resource allocation. Future research should incorporate traffic loading, drainage, and environmental factors to develop predictive pavement management models.
References
Aad, M. A., & Abbas, M. (2022). Integrated Simulation-Optimization Framework for Assessing the Impact of I-66 Dynamic Toll Pricing on Pavement Deterioration and Maintenance Decisions. Transportation Research Record Journal of the Transportation Research Board, 2677(1), 1696–1705. https://doi.org/10.1177/03611981221105867 DOI: https://doi.org/10.1177/03611981221105867
Abaza, K. A. (2023). Theoretical Framework for Incorporating Routine Maintenance Long-Term Performance Into Pavement Management Using Markov Chains. https://doi.org/10.21203/rs.3.rs-3046384/v1 DOI: https://doi.org/10.21203/rs.3.rs-3046384/v1
Abohamer, H., Elseifi, M. A., Dhakal, N., Zhang, Z., & Fillastre, C. N. (2022). Field Performance and Cost-Effectiveness of Chip Seals and Asphalt Concrete Overlays With and Without Asphalt Concrete Stripping Damage. Transportation Research Record Journal of the Transportation Research Board, 2677(2), 1115–1125. https://doi.org/10.1177/03611981221112407 DOI: https://doi.org/10.1177/03611981221112407
Aden, T. S., Widyastuti, H., & Kartika, A. A. G. (2024). The Conceptual of Pavement Management System Based on IoT, Big Data, and Data Mining in Indonesia. E3s Web of Conferences, 517, 01001. https://doi.org/10.1051/e3sconf/202451701001 DOI: https://doi.org/10.1051/e3sconf/202451701001
Al-Hamdan, A., Alatoom, Y. I., Nlenanya, I., & Smadi, O. (2024). Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework. Civileng, 5(4), 949–970. https://doi.org/10.3390/civileng5040048 DOI: https://doi.org/10.3390/civileng5040048
Ali, A. A., & Milad, A. (2023). Application of Machine Learning Techniques for Asphalt Pavement Performance Prediction. Journal of Pure & Applied Sciences, 22(3), 35–40. https://doi.org/10.51984/jopas.v22i3.2733 DOI: https://doi.org/10.51984/jopas.v22i3.2733
Alimohammadi, H. (2020). A Framework for Evaluation of Existing Pavement Conditions and Selection of Feasible Maintenance/Rehabilitation Alternatives; A Case Study in Some Routes of Livingston Parish in the State of Louisiana. Sn Applied Sciences, 2(2). https://doi.org/10.1007/s42452-020-1999-6 DOI: https://doi.org/10.1007/s42452-020-1999-6
Al-Obaedi, J., Al-Salihy, Z. A. Z., & Jasim, H. A. (2020). The Effect of Speed Humps on Highways Pavement Condition. International Journal of Engineering, 33(5). https://doi.org/10.5829/ije.2020.33.05b.04 DOI: https://doi.org/10.5829/ije.2020.33.05b.04
Arezoumand, S., & Smadi, O. (2024). Equity in Transportation Asset Management: A Proposed Framework. Algorithms, 17(7), 305. https://doi.org/10.3390/a17070305 DOI: https://doi.org/10.3390/a17070305
ASADA, T., Ha, T. V., Arimura, M., & KAMEYAMA, S. (2022). A Novel Approach for Urban Road Network Maintenance Plans Using Spatial Autocorrelation Analysis and Roadside Conditions: A Case Study of Muroran City, Japan. Sustainability, 14(23), 16189. https://doi.org/10.3390/su142316189 DOI: https://doi.org/10.3390/su142316189
Azam, A., Alshehri, A. H., Alharthai, M., El-Banna, M. M., Yosri, A. M., & Beshr, A. A. A. (2023). Applications of Terrestrial Laser Scanner in Detecting Pavement Surface Defects. Processes, 11(5), 1370. https://doi.org/10.3390/pr11051370 DOI: https://doi.org/10.3390/pr11051370
Balzarini, D., Erskine, J. L., & Nieminen, M. (2021). Use of the Pavement Surface Cracking Metric to Quantify Distresses From Digital Images. Transportation Research Record Journal of the Transportation Research Board, 2675(9), 1534–1544. https://doi.org/10.1177/03611981211008189 DOI: https://doi.org/10.1177/03611981211008189
Bao, S., Han, K., Zhang, L., & Luo, X. (2021). Pavement Maintenance Decision Making Based on Optimization Models. Applied Sciences, 11(20), 9706. https://doi.org/10.3390/app11209706 DOI: https://doi.org/10.3390/app11209706
Choiri, A., Yusuf, M. S., Sari, R. N., Artanti, L. D., & Hapsari, A. A. (2024). Comparison of Road Damage Analysis Using PCI Method and Bina Marga Method and the Analysis of Road Improvement Methods Using the Road Pavement Design Manual (Case Study: Citayam – Parung Road). E3s Web of Conferences, 479, 07017. https://doi.org/10.1051/e3sconf/202447907017 DOI: https://doi.org/10.1051/e3sconf/202447907017
Elmansouri, O., Alossta, A., & Badi, I. (2022). Pavement Condition Assessment Using Pavement Condition Index and Multi-Criteria Decision-Making Model. Mechatronics and Intelligent Transportation Systems, 1(1). https://doi.org/10.56578/mits010107 DOI: https://doi.org/10.56578/mits010107
Gaber, M. A., Diab, A., Elbeltagi, E., & Wahaballa, A. M. (2023). Integrated Safety-Pavement Maintenance Management System (SPMS) for Local Authorities in Egypt. Jes Journal of Engineering Sciences, 51(2), 125–147. https://doi.org/10.21608/jesaun.2023.175063.1182 DOI: https://doi.org/10.21608/jesaun.2023.175063.1182
Heidari, M. J., Najafi, A., & Borges, J. G. (2022). Introducing New Index in Forest Roads Pavement Management System. https://doi.org/10.20944/preprints202207.0238.v1 DOI: https://doi.org/10.20944/preprints202207.0238.v1
Hosseini, S. A., & Smadi, O. (2020). How Prediction Accuracy Can Affect the Decision-Making Process in Pavement Management System. https://doi.org/10.31224/osf.io/t28ue DOI: https://doi.org/10.31224/osf.io/t28ue
Huang, L.-L., Lin, J.-D., Huang, W., Kuo, C.-H., Chiou, Y.-S., & Huang, M.-Y. (2024). Developing Pavement Maintenance Strategies and Implementing Management Systems. Infrastructures, 9(7), 101. https://doi.org/10.3390/infrastructures9070101 DOI: https://doi.org/10.3390/infrastructures9070101
Iqbal, D., Suhaimi, S., & Ardian, R. (2022). ANALISA TINGKAT KERUSAKAN JALAN DENGAN METODE PAVEMENT CONDITION INDEX (PCI) (Studi Kasus: Jalan BTS Kota Lhokseumawe – Aceh Utara). Jurnal Rekayasa Teknik Dan Teknologi, 6(2). https://doi.org/10.51179/rkt.v6i2.1371 DOI: https://doi.org/10.51179/rkt.v6i2.1371
Khahro, S. H., Memon, Z. A., Gungat, L., Yazid, M. R. M., Rahim, A., Mubaraki, M., & Yusoff, N. I. M. (2021). Low-Cost Pavement Management System for Developing Countries. Sustainability, 13(11), 5941. https://doi.org/10.3390/su13115941 DOI: https://doi.org/10.3390/su13115941
Kiende, K. D., Osano, S. N., & Mwea, S. K. (2023). Evaluation of Performance of Pavement Founded on the Reinforced Earth Sections Along Outer Ring Road, Nairobi. East African Journal of Engineering, 6(1), 1–15. https://doi.org/10.37284/eaje.6.1.1037 DOI: https://doi.org/10.37284/eaje.6.1.1037
Komba, E., Bahtiar, B., Rante, H., Mujiati, M., & Rusim, D. A. (2024). Maintenance Strategy for the Muliama-Wa2e-Makki Road Section in Jayawijaya Regency, Papua Province, Highlands. Jurnal Indonesia Sosial Teknologi, 5(3), 1050–1065. https://doi.org/10.59141/jist.v5i3.964 DOI: https://doi.org/10.59141/jist.v5i3.964
Kristina, C., Elvina, I., & Salonten. (2021). Identifikasi Jenis Dan Penanganan Kerusakan Jalan (Studi Kasus Jl. G. Obos Xii, Jl. Samudin Aman, Jl. Jati Kota Palangka Raya). Narotama Jurnal Teknik Sipil, 5(2), 28–36. https://doi.org/10.31090/njts.v5i2.1567 DOI: https://doi.org/10.31090/njts.v5i2.1567
Liu, S., Arifin, M. F. A., & Chen, W. T. (2022). An Integrated Optimization Model for Life Cycle Pavement Maintenance Budgeting Problems. Ieee Access, 10, 13884–13900. https://doi.org/10.1109/access.2022.3147465 DOI: https://doi.org/10.1109/ACCESS.2022.3147465
Maliq, T. M., Kriswardhana, W., Trisiana, A., & Supriono, L. (2022). Analisa Kerusakan Jalan Pada Lapis Permukaan Lentur Menggunakan Metode Pavement Condition Index (PCI) (Studi Kasus Jalan Sriwijaya Kabupaten Jember). Jurnal Rekayasa Sipil Dan Lingkungan, 6(1), 56. https://doi.org/10.19184/jrsl.v6i1.31724 DOI: https://doi.org/10.19184/jrsl.v6i1.31724
Mandloi, A., Tare, M. V., Narnaure, T. K., & Thakre, V. (2024). Pavement Functional Evaluation From Distress Parameters to Crack Detection: A REVIEW. International Research Journal of Modernization in Engineering Technology and Science. https://doi.org/10.56726/irjmets48920 DOI: https://doi.org/10.56726/IRJMETS48920
Mascio, P. D., Antonini, A., Narciso, P., Greto, A., Cipriani, M., & Moretti, L. (2021). Proposal and Implementation of a Heliport Pavement Management System: Technical and Economic Comparison of Maintenance Strategies. Sustainability, 13(16), 9201. https://doi.org/10.3390/su13169201 DOI: https://doi.org/10.3390/su13169201
Medina, J., Zalghout, A., Gundla, A., Castro, S., & Kaloush, K. E. (2021). Use of Time–Temperature Superposition Principle to Create Pavement Performance Master Curves and Relate Pavement Condition Index and International Roughness Index. Transportation Research Record Journal of the Transportation Research Board, 2675(9), 972–983. https://doi.org/10.1177/03611981211004965 DOI: https://doi.org/10.1177/03611981211004965
Miah, M. T., Oh, E., Chai, G., & Bell, P. (2020). An Overview of the Airport Pavement Management Systems (APMS). International Journal of Pavement Research and Technology, 13(6), 581–590. https://doi.org/10.1007/s42947-020-6011-8 DOI: https://doi.org/10.1007/s42947-020-6011-8
Oreto, C., Biancardo, S. A., Abbondati, F., & Veropalumbo, R. (2023). Leveraging Infrastructure BIM for Life-Cycle-Based Sustainable Road Pavement Management. Materials, 16(3), 1047. https://doi.org/10.3390/ma16031047 DOI: https://doi.org/10.3390/ma16031047
Philip, B., & Jassmi, H. A. (2024). A Bayesian Decision Support System for Optimizing Pavement Management Programs. Heliyon, 10(3), e25625. https://doi.org/10.1016/j.heliyon.2024.e25625 DOI: https://doi.org/10.1016/j.heliyon.2024.e25625
Qabaja, M., & Labeedi, A. (2020). An Investigation of the Airport Pavement Management System (APMS). International Journal of Advanced Engineering Sciences and Applications, 1(1), 27–33. https://doi.org/10.47346/ijaesa.v1i1.35 DOI: https://doi.org/10.47346/ijaesa.v1i1.35
Rahmawati, A., Widianti, A., Widodo, W., Ady, M., & Rahmandhani, F. I. (2024). Assessment of Flexible Road Pavement Using the Pavement Condition Index Method on Road Sections in Sedayu-Pandak Province, Yogyakarta, Indonesia. Journal of Physics Conference Series, 2928(1), 012004. https://doi.org/10.1088/1742-6596/2928/1/012004 DOI: https://doi.org/10.1088/1742-6596/2928/1/012004
Roberts, R. A., Inzerillo, L., & Mino, G. D. (2021). Exploiting Data Analytics and Deep Learning Systems to Support Pavement Maintenance Decisions. Applied Sciences, 11(6), 2458. https://doi.org/10.3390/app11062458 DOI: https://doi.org/10.3390/app11062458
Saadati, A., & Karimi, H. (2024). Providing a Robust Optimization Model for the Preventive Maintenance of Asphalt Road Pavements. Transportation Research Record Journal of the Transportation Research Board, 2679(3), 848–867. https://doi.org/10.1177/03611981241283448 DOI: https://doi.org/10.1177/03611981241283448
Shadhar, A. K., & Mahjoob, A. M. R. (2020). Pavement Maintenance Management Using Multi-Objective Optimization: (Case Study: Wasit Governorate-Iraq). International Journal of Engineering, 33(11). https://doi.org/10.5829/ije.2020.33.11b.05 DOI: https://doi.org/10.5829/ije.2020.33.11b.05
Suseno, D. P. (2023). Analisis Kerusakan Rigid Pavement Dengan Metode Pavement Condition Index (PCI) (Studi Kasus: Jalan Kaligawe Raya Depan Kampus UNISSULA). Journal of Civil Engineering and Technology Sciences, 2(2), 1–18. https://doi.org/10.56444/jcets.v2i2.1222 DOI: https://doi.org/10.56444/jcets.v2i2.1222
Topu, M. M. (2025). Digital Twin-Driven Pavement Health Monitoring and Maintenance Optimization Using Graph Neural Networks. https://doi.org/10.48550/arxiv.2511.02957
Yvonne, R., Nyambane, O. S., & Mwea, S. K. (2023). Surface Condition Survey of the Thika-Magumu Road Pavement. East African Journal of Engineering, 6(1), 36–47. https://doi.org/10.37284/eaje.6.1.1101 DOI: https://doi.org/10.37284/eaje.6.1.1101
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Logistica : Journal of Logistic and Transportation
This work is licensed under a Creative Commons Attribution 4.0 International License.
