An Evaluative Analysis of Performance Factors and Improvement Strategies in the Cement Deep Mixing (CDM) Project Based on Importance–Performance Analysis (IPA) and the Customer Satisfaction Index (CSI): A Case Study of the ABC Port Project
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The implementation of port infrastructure development often faces challenges related to soft soil conditions that require effective ground improvement methods. Cement Deep Mixing (CDM) has become one of the widely applied techniques for enhancing soil strength and stability; however, its performance is influenced by various technical, managerial, external, and implementation quality factors. This study aimed to evaluate the performance factors affecting the CDM project, identify gaps between the importance and actual performance of these factors, and determine improvement priorities using Importance–Performance Analysis (IPA) and the Customer Satisfaction Index (CSI). A quantitative approach using a survey method was applied to the ABC Port Project, involving 85 respondents consisting of contractors, main contractors, and supervisory consultants directly involved in CDM implementation. Data were collected through questionnaires based on 15 indicators covering technical factors, managerial factors, external conditions, and implementation quality, and were analyzed using IPA and CSI methods. The results showed that the overall CDM project performance was categorized as good, with a CSI value of 87.57%, indicating a very high level of stakeholder satisfaction. However, the analysis revealed a negative performance gap of -0.06 between stakeholder expectations and actual project performance. The highest improvement priorities were related to technical training (M2) and operator and technician competency (M1), indicating the need for stronger human resource development and technical control. This study concludes that the integration of IPA and CSI provides an effective evaluation framework for identifying critical factors and developing targeted strategies to improve CDM project performance.
Bassioni, H. A., Price, A. D. F., Hassan, T. M., et al. (2004). Performance measurement in construction logistics. International Journal of Production Economics, 20(2), 42–50. https://doi.org/10.1016/S0925-5273(00)00034-7
Chen, Y.-C., & Hasan, M. K. (2023). Impacts of liner shipping connectivity and global competitiveness on logistics performance: The mediating role of the quality of port and infrastructure. Transport, 38(2), 87–104.
Debora, F., Fasa, N., Sudrajat, H. A., & Apriliani, A. (2023). Analysis of service quality on Lestari Seserahan SME customer satisfaction with the Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) methods. Indonesian Journal of Industrial Engineering and Management, 4(1), 78. https://doi.org/10.22441/ijiem.v4i1.19198
Ha, T. (2020). Lach Huyen port infrastructure project and soil improvement works. Geotechnical Engineering, 51(1), 12–19.
Ito, Y., Imai, Y., Yonekura, S., & Enkhtaivan, G. (2024). Deep mixing method for settlement reduction and bearing capacity enhancement in copper smelter in Gresik. Japanese Geotechnical Society Special Publication, 11, 238–243. https://doi.org/10.3208/jgssp.vol11.DS-3-05
Kitazume, M. (2013). Deep mixing method in Japan. Geotechnical Engineering Journal of the SEAGS & AGSSEA, 44(4), 97–114. https://doi.org/10.14456/seagj.2013.11
Li, W., Bai, X., Yang, D., & Hou, Y. (2023). Maritime connectivity, transport infrastructure expansion and economic growth: A global perspective. Transportation Research Part A: Policy and Practice, 170, 103609.
Lin, W., Sun, L., Wang, T., Shang, H., & Xu, W. (2025). The impact of port investment along the 21st Century Maritime Silk Road on regional port network connectivity and its imbalance. Regional Studies in Marine Science, 87, 104239.
Love, D. C., Fry, J. P., Li, X., Hill, E. S., Genello, L., Semmens, K., & Thompson, R. E. (2015). Commercial aquaponics production and profitability: Findings from an international survey. Aquaculture, 435, 67–74. https://doi.org/10.1016/j.aquaculture.2014.09.023
Martilla, J. A., & James, J. C. (1977). Importance-performance analysis. Journal of Marketing, 41(1), 77. https://doi.org/10.2307/1250495
Munianday, P., Sarawak, M., Rahman, R. A., Abdullah, A. S., & Esa, M. (2024). A comprehensive analysis of the importance of investigating the impact of Construction 4.0 skills on project performance. Journal of Information Technology in Construction, 29. https://doi.org/10.36680/j.itcon.2024.031
Muntu, D., Setyawati, R., Riantini, L. S., & Ichsan, M. (2021). Effect of human resources management and advances to improve construction project performance. Physics and Chemistry of the Earth, 122, 103000. https://doi.org/10.1016/j.pce.2021.103000
Nakao, R., Usui, H., Sindete, M. J., & Hino, T. (2026). Fluorescence measurement method for evaluating slurry mixing quality and strength development in cement improved soil. Geotechnical Testing Journal, 49(1), 99–117. https://doi.org/10.1520/GTJ20250015
Netirith, N., & Ji, M. (2024). Strategic enhancement infrastructure connectivity: A fuzzy exploratory factors analysis in Thailand's regional ports within the RCEP framework. Maritime Business Review, 9(4), 369–390.
Petchgate, W., Pongsivasathit, S., Tangpagasit, J., Piyaphipat, S., Pinpatthanapong, K., & Thongindam, P. (2025). Sustainable soil stabilization: Evaluating the feasibility of hydraulic cement in the deep mixing method. Case Studies in Construction Materials, 22, e04394. https://doi.org/10.1016/j.cscm.2025.e04394
Pontan, D., Fikri, I. M., & Bhekti, D. S. (2024). Analysis of the construction management application to project success using Importance Performance Analysis on superflat concrete floor work. International Journal of Social Service and Research, 4(2), 668–681. https://doi.org/10.46799/ijssr.v4i02.733
Pooranampillai, S., Parmantier, D., Dawson, K., & Shin, S. (2011). A case history on the design, construction, and field quality control of cement deep soil mixing. Proceedings of the 37th Annual Conference on Deep Foundations, 135–144.
Ramadan, M. F., & Nugraha, D. (2026). Port logistics efficiency and its impact on regional economic development: Evidence from Indonesian maritime infrastructure. International Journal of Port, Maritime, and Logistics Management, 1(1), 21–26.
Slack, N. (1994). The importance-performance matrix as a determinant of improvement priority. International Journal of Operations & Production Management, 14(5), 59–75. https://doi.org/10.1108/01443579410056803
Subagyo, I., & Isradi, M. (2025). Analysis of multi-project resources in dam construction on Java Island affecting contractor performance. Eduvest – Journal of Universal Studies, 5(9), 10998–11013. https://doi.org/10.59188/eduvest.v5i9.51138
Wang, G., & Chen, M. (2025). Performance evaluation and strategic analysis of logistics development for China Railway Express: A spatial connectivity perspective. Systems, 13(3), 166.
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