Authors :
Moh. Shiddiq; Fahirah F.; Adnan Fadjar
Volume/Issue :
Volume 11 - 2026, Issue 6 - June
Google Scholar :
https://tinyurl.com/cw9hx8w6
Scribd :
https://tinyurl.com/2v8kya6j
DOI :
https://doi.org/10.38124/ijisrt/26jun1305
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
In the process of implementing road construction projects, especially in Poso Regency, changes are often made to
adapt to local conditions. These changes can impact changes to existing contract agreements, so that it is necessary to issue
a new addendum or contract change order. This research sought to evaluate the impact of contract change orders on
execution time performance as well as to identify tactics to prevent contract change orders from occurring during the
implementation of road construction projects in Poso Regency. 52 individuals, including proprietors, consultants, and
contractors, participated in the study. Documentation, interviews, and questionnaire surveys were used to acquire data.
Data analysis via Structural Equation Modeling revealed that the origin of contract change orders had a positive value and
significantly impacted implementation time. In order to prevent change orders from being issued during road construction
projects in Poso Regency, it is necessary to thoroughly survey and inspect the area prior to design, prepare comprehensive,
clear, and unambiguous contract documents, prepare specifications clearly, in detail, and without providing opportunities
for different interpretations, the selection of qualified workers including certified experts and experienced operators, and
ensure that budget policies and project planning are stable from the start, so that there are no changes in priorities that
impact revisions to the scope of work.
Keywords :
Construction, Road, Contract Change Order, Implementation Time Performance, SmartPLS.
References :
- M. G. Devedo and D. A. Lestari, “Analysis of Contract Change Order (CCO) in the Samarinda Road Preservation Project,” JSE Journal of Science and Engineering, vol. 3, no. 2, pp. 66–73, Jan. 2015, doi: 10.30650/jse.v3i2.4227.
- S. Sadeghi, “Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques.”
- B. Yedilbayev, Z. Kozhamkulova, S. Abdikul, and N. Tulebayeva, “New models of road transport system,” in E3S Web of Conferences, EDP Sciences, Dec. 2019. doi: 10.1051/e3sconf/201913502011.
- M. Chakraborty and T. J. Gates, “Assessing Safety Performance on Urban and Suburban Roadways of Lower Functional Classification: An Evaluation of Minor Arterial and Collector Roadway Segments,” Transp. Res. Rec., vol. 2677, no. 2, pp. 345–356, Feb. 2023, doi: 10.1177/03611981221106480.
- Nurisra, Mubarak, Mahmuddin, and M. R. Hariska, “The Potential Causes of Contractual Change Orders Sourced from The Construction Phase of The Building Project,” in E3S Web of Conferences, EDP Sciences, Jan. 2024. doi: 10.1051/e3sconf/202447601055.
- V. Emani, “EFFECTIVE CHANGE ORDER MANAGEMENT: STRATEGIES FOR MINIMIZING DISRUPTIONS AND COST OVERRUNS IN CONSTRUCTION”.
- I. Mahendra Sukardi and A. Wahyudi Biantoro, “Analysis of Contract Change Order (CCO) Factors, which Affect the Fly Over Work (Case Study of the Cisauk Fly Over Development Project),” vol. 14, no. 1, pp. 133–0141, 2025, doi: 10.32832/astonjadro.v14i1.
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- B. C. Lines, K. T. Sullivan, J. B. Smithwick, and J. Mischung, “Overcoming resistance to change in engineering and construction: Change management factors for owner organizations,” International Journal of Project Management, vol. 33, no. 5, pp. 1170–1179, Jul. 2015, doi: 10.1016/j.ijproman.2015.01.008.
- O. Moselhi, C. Leonard, and A. N. D Paul Fazio, “Impact of change orders on construction productivity,” 1991.
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- D. Dragan and D. Topolšek, “Introduction to Structural Equation Modeling: Review, Methodology and Practical Applications.”
- Putu Gede Subhaktiyasa, “PLS-SEM for Multivariate Analysis: A Practical Guide to Educational Research using SmartPLS,” EduLine: Journal of Education and Learning Innovation, vol. 4, no. 3, pp. 353–365, Aug. 2024, doi: 10.35877/454ri.eduline2861.
- J. J. Louviere et al., “Combining Sources of Preference Data for Modeling Complex Decision Processes,” 1999.
In the process of implementing road construction projects, especially in Poso Regency, changes are often made to
adapt to local conditions. These changes can impact changes to existing contract agreements, so that it is necessary to issue
a new addendum or contract change order. This research sought to evaluate the impact of contract change orders on
execution time performance as well as to identify tactics to prevent contract change orders from occurring during the
implementation of road construction projects in Poso Regency. 52 individuals, including proprietors, consultants, and
contractors, participated in the study. Documentation, interviews, and questionnaire surveys were used to acquire data.
Data analysis via Structural Equation Modeling revealed that the origin of contract change orders had a positive value and
significantly impacted implementation time. In order to prevent change orders from being issued during road construction
projects in Poso Regency, it is necessary to thoroughly survey and inspect the area prior to design, prepare comprehensive,
clear, and unambiguous contract documents, prepare specifications clearly, in detail, and without providing opportunities
for different interpretations, the selection of qualified workers including certified experts and experienced operators, and
ensure that budget policies and project planning are stable from the start, so that there are no changes in priorities that
impact revisions to the scope of work.
Keywords :
Construction, Road, Contract Change Order, Implementation Time Performance, SmartPLS.