Issue |
E3S Web Conf.
Volume 476, 2024
The 4th Aceh International Symposium on Civil Engineering (AISCE 2023)
|
|
---|---|---|
Article Number | 01001 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/e3sconf/202447601001 | |
Published online | 17 January 2024 |
Multiple Regression Analysis to The Influence of Communication Management on Project Success
Department of Civil Engineering, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
* Corresponding author: cut.zukhrina@usk.ac.id
The success of a construction project, in general, is known to have a triple constraint with the criteria of being on time, on cost, and quality. Project success is highly dependent on effective communication as it can increase project success by up to 80% compared to poor communication by only 52%. Several studies have found that poor communication is one of the most critical obstacles to construction project success. The purpose of this study is to analyze the relationship between communication management (X) and the success of construction projects (Y) simultaneously. The sample for this study was obtained using a total sampling technique so that the sample size corresponds to the members of the population, namely as many as 30 construction companies registered with the Association of National Construction Executors (GAPENSI) in Banda Aceh, one of the provinces in Indonesia. Based on the analysis results, it was found that communication management simultaneously had an influence of 53.2% on the success of construction projects. In comparison, the other 46.8% was determined by variables not examined in this study.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.