Evaluasi Kesesuaian Perencanaan dan Realisasi Pekerjaan Peningkatan Jalan Pangkalan-Batas Jambi Kecamatan Rawas Ulu, Kabupaten Musi Rawas Utara
DOI:
https://doi.org/10.58169/jwikal.v5i1.1104Keywords:
Construction Management, Field Constraints, Planning-Realization Conformity, Quantity Deviation, Road ImprovementAbstract
Road improvement projects require consistency between technical planning documents and field implementation to ensure that service quality, structural performance, construction time, and user safety are achieved. This article evaluates the conformity between planning and realization in the Pangkalan-Batas Jambi road improvement project in Rawas Ulu District, North Musi Rawas Regency. The study used a descriptive-quantitative evaluative approach based on field monitoring, project technical documents, comparative quantity analysis between contract and Contract Change Order (CCO), and identification of implementation constraints. The results showed that several work items changed during construction because initial planning data did not fully capture actual field conditions. Quantities increased for drainage excavation (+18.87%), roadbed preparation (+8.99%), aggregate class A base course (+12.51%), and AC-Base (+11.98%). Conversely, reinforced pipe culverts decreased (-58.33%), unsealed aggregate base/sirtu decreased (-43.50%), and tack/prime coat volume slightly decreased (-0.47%). The time schedule showed a minor delay of -0.13% in the first week but recovered in the second week, indicating effective field coordination. Main constraints included traffic interference, limited worker visibility, and equipment visibility. The study recommends more detailed site surveys during planning, stronger traffic management, stricter occupational safety implementation, systematic progress control, and routine post-construction maintenance to maintain road service life.
References
Abdualaziz, A. A., Abdalrhman, M., Amgad, H., Yusoff, N. I. M., & Heneash, U. (2023). Predicting pavement condition index based on the utilization of machine learning techniques: A case study. Journal of Road Engineering, 3(3), 266-278. https://doi.org/10.1016/j.jreng.2023.04.002
Ansari, F. A., Pani, A., & Mohapatra, S. S. (2025). Improving highway work zone mobility in the developing world: A systematic literature review of work zone delay measures and technological solutions. Transportation Research Record, 2679(3). https://doi.org/10.1177/03611981241283451
Basnet, K. S., Shrestha, J. K., & Shrestha, R. N. (2023). Pavement performance model for road maintenance and repair planning: A review of predictive techniques. Digital Transportation and Safety, 2(4), 253-267. https://doi.org/10.48130/DTS-2023-0021
Demeke, A. Y., Heravi, M. Y., Dola, I. S., Jang, Y., Le, C., Jeong, I., Lin, Z., & Wang, D. (2025). Advancing highway work zone safety: A comprehensive review of sensor technologies for intrusion and proximity hazards. Transportation Research Record, 2679(2), 1066-1089. https://doi.org/10.1177/03611981241265845
Dinh, T. H., Dinh, T. H., & Gotze, U. (2024). Roadworks design: Study on selection of construction materials in the preliminary design phase based on economic performance. International Journal of Construction Management, 24(5), 503-511. https://doi.org/10.1080/15623599.2023.2179603
Han, C., Han, T., Ma, T., Tong, Z., & Wang, S. (2023). A BIM-based framework for road construction quality control and quality assurance. International Journal of Pavement Engineering, 24(1), 2209903. https://doi.org/10.1080/10298436.2023.2209903
Han, C., Huang, J., Yang, X., Chen, L., & Chen, T. (2023). Long-term maintenance planning method of rural roads under limited budget: A case study of road network. Applied Sciences, 13(23), 12661. https://doi.org/10.3390/app132312661
Hariyati, R. T., Fahirah, F., & Nirmalawati. (2024). Analysis of factors causing contract change orders in the implementation of provincial road construction projects in Central Sulawesi. International Journal of Innovative Science and Research Technology, 9(6), 3314-3322. https://doi.org/10.38124/ijisrt/24jun125
Koirala, M. P., Thapa, N., Giri, O. P., & Shah, R. K. (2025). Evaluation of variation orders on road construction projects in rural Nepal. Construction Economics and Building, 25(3/4), 311-338. https://doi.org/10.5130/AJCEB.v25i3/4.9756
Nusantara, B. P., & Sutardi, S. (2023). Evaluation of the implementation of contract change order as a solution to the problem of contract scope changes. Jurnal Teknik Sipil, 19(2), 204-218. https://doi.org/10.28932/jts.v19i2.4508
Peng, L., Gao, L., Hong, F., & Sun, J. (2025). Evaluating pavement deterioration rates due to flooding events using explainable AI. Buildings, 15(9), 1452. https://doi.org/10.3390/buildings15091452
Qasem, A. M. J. (2025). A systematic multi-criteria quantitative model for evaluating the change order impact on contractors' cash flow. Buildings, 15(8), 1246. https://doi.org/10.3390/buildings15081246
Shaban, M., Al-Hassan, B., & Mohamad, A. S. (2024). Digital transformation of quality management in the construction industry during the execution phase by integration of building information modeling (BIM) and cloud computing. Building Engineering, 2(1), 1132. https://doi.org/10.59400/be.v2i1.1132
Shbeeb, L. (2024). Evaluating road work site safety management: A case study of the Amman bus rapid transit project construction. Cogent Engineering, 11(1), 2283320. https://doi.org/10.1080/23311916.2023.2283320
Shehab, T., Blampied, N., Nasr, E., & Sindhu, L. (2024). ANN-based estimation model for the preconstruction cost of pavement rehabilitation projects. International Journal of Construction Management, 24(8), 894-901. https://doi.org/10.1080/15623599.2023.2239445
Shokoohi, M., Golroo, A., & Ardeshir, A. (2023). Pavement maintenance planning using a risk-based approach and fault tree analysis. International Journal of Pavement Engineering, 24(2), 2276160. https://doi.org/10.1080/10298436.2023.2276160
Smetana, M., Salles de Salles, L., Sukharev, I., & Khazanovich, L. (2024). Highway construction safety analysis using large language models. Applied Sciences, 14(4), 1352. https://doi.org/10.3390/app14041352
Sovanneth, N., Obunguta, F., Sasai, K., & Kaito, K. (2025). Optimization of pavement maintenance planning in Cambodia using a probabilistic model and genetic algorithm. Infrastructures, 10(10), 261. https://doi.org/10.3390/infrastructures10100261
Tamagusko, T., Gomes Correia, M., & Ferreira, A. (2024). Machine learning applications in road pavement management: A review, challenges and future directions. Infrastructures, 9(12), 213. https://doi.org/10.3390/infrastructures9120213
Wang, X., Wang, G., Gong, F., Qin, L., Gao, Z., & Cheng, X. (2024). Evaluation and analysis of asphalt concrete density based on core samples. Journal of Materials in Civil Engineering, 36(1), 04023523. https://doi.org/10.1061/JMCEE7.MTENG-15771
Wang, Y., Li, J., Zhang, X., Yao, Y., & Peng, Y. (2024). Recent development in intelligent compaction for asphalt pavement construction: Leveraging smart sensors and machine learning. Sensors, 24(9), 2777. https://doi.org/10.3390/s24092777
Wang, Y., Pan, B., Xie, Z., Shao, M., Shi, M., & Tian, X. (2023). Evaluation of different work zone road-occupation schemes for monorail construction. Applied Sciences, 13(24), 13200. https://doi.org/10.3390/app132413200
Waty, M., & Sulistio, H. (2023). Road construction change order analysis (technical causes and initiators). International Journal of Application on Sciences, Technology and Engineering, 1(3), 866-881. https://doi.org/10.24912/ijaste.v1.i3.866-881
Zhang, Z., Dan, H., Li, S., & Li, W. (2023). Optimizing asphalt surface course compaction: Insights from aggregate triaxial acceleration responses. Materials, 16(22), 7239. https://doi.org/10.3390/ma16227239
Zhao, Y., Ren, J., Zhang, K., Luo, Y., & Wang, K. (2024). Construction quality control for rutting resistance of asphalt pavement using BIM technology. Buildings, 14(1), 239. https://doi.org/10.3390/buildings14010239
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