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Development of model for controlling Contract Change Order in pier project (Case Study in North Sulawesi, Indonesia)


Article Information

Title: Development of model for controlling Contract Change Order in pier project (Case Study in North Sulawesi, Indonesia)

Authors: Estrellita Y. V. Waney, Mycle M. Wala, Harson Kapoh

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2017

Volume: 12

Issue: 4

Language: English

Categories

Abstract

This paper focuses on the change in the work construction contract which is commonly called work change order or Contract Change Order. This change can alter the cost of the contract specifications and the project schedule. The purposes of this study are to identify factors that cause contract change order and to design a model for controlling contract change order (CCO) in term of cost performance at the government pier project implementation, particularly in North Sulawesi, Indonesia. The study methods are primary data collection by running questionnaires and secondary data from the office of the Department of Transportation and contractor companies document. For designing an application model, the methods used include waterfall method, architecture method, system performance method and brainstorming by focus group discussion. The dependent variable in this study is the Cost Performance (Y) and the independent variables are Construction Factor (X1), Administrative Factor (X2), and Resources Factor (X3). Statistical analysis results showed that partially Construction Factor, Administration Factor and Resources Factor significantly influence the cost performance. Simultaneously, these three factors also significantly influence and have a very strong positive correlation with the Cost Performance. The application model developed for controlling CCO can present the prediction of CCO by rating the percentage of CCO probability. Black-box test method used for trial stage produces what is expected by presenting the prediction percentage of 100%, 75%, 50%, 25% and not CCO. All results displayed are designed flowchart.


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