Authors :
M Yahya Pratama; I Made Jiwa Astika; Ali Azhar
Volume/Issue :
Volume 10 - 2025, Issue 6 - June
Google Scholar :
https://tinyurl.com/y4axupr7
DOI :
https://doi.org/10.38124/ijisrt/25jun070
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The shipbuilding industry plays a vital role in international trade, with ship construction being a complex
technical process requiring skilled labor. This study aims to analyze and develop a standardized estimation model for
man-hour (MAN- HOURS) requirements in the execution of multiyear projects within the shipyard industry, specifically
at PT DEF. Based on historical data from the past 10 years encompassing 16 shipbuilding and general engineering
projects, the research employs a quantitative descriptive approach using multiple linear regression analysis. Key variables
include Project Duration (months), Contract Price (in million Rupiah), and Ship Weight (in tons), with man-hours as the
dependent variable. The results of the classical assumption tests—normality, multicollinearity, and heteroscedasticity—
indicate that the regression model meets the necessary statistical assumptions. Furthermore, hypothesis testing reveals that
the variables of Contract Price and ship weight significantly influence the man-hour requirements, whereas project
duration does not show a statistically significant impact. The resulting regression model provides a reliable basis for
predicting labor requirements in similar future projects. This standardization is expected to improve workforce planning
accuracy, enhance operational efficiency, and offer practical recommendations for optimizing multiyear projects in the
shipbuilding industry.
Keywords :
Man-Hour Requirements, Project Duration, Standardization, Cost Efficiency, Shipyard Industry.
References :
- Noh, S., & Seo, J. (2015). Development of standard man-hour estimation for shipbuilding projects. Man- Hoursurnal of Ship Production and Design, 31(1), 47– 53. https://doi.org/10.5957/JSPD.31.1.47
- Lee, H., & Park, C. (2016). Man-hour estimation model for ship production using case-based reasoning. International Man-Hoursurnal of Naval Architecture and Ocean Engineering, 8(3), 288–296
- Wang, T., & Cheng, C. H. (2018). A particle swarm optimization algorithm for resource allocation in shipbuilding projects. Computers & Industrial
- Tamura, H., & Morita, H. (2014). Discrete event simulation of shipyard process for project scheduling. Man-Hoursurnal of Marine Science and Technology, 19(3), 221–233. https://doi.org/10.1007/s00773-013- 0241-7
- Huang, Y. H., & Tsai, H. T. (2019). Evaluation of shipbuilding productivity based on data envelopment analysis. Ocean Engineering, 186, 106137. https://doi.org/10.1016/j.oceaneng.2019.106137
- Hafnidar A. Rani. (2017). Construction Project Management.
- Muchtiwibowo, H., et al. (2019). Technology Management in Naval Vessel Construction.
- Garvin, D. A. (1987). Competing on the Eight Dimensions of Quality. Harvard Business Review.
- Lee, J., & Park, Y. (2016). Predictive Labor Model for Shipyard Projects Using Historical Data.
- Wang, Y., & Cheng, H. (2018). Standardization and Optimization in Project Resource Management.
- Montgomery, D. C., Peck, E. A., & Vining, G. G. (2012). Introduction to Linear Regression Analysis.
- Wahyudi, H., et al. (2021). Regression-Based Productivity Modeling in the Maritime Industry.
- Navidi, W. (2015). Statistics for Engineers and Scientists. [14]. Triola, M. F. (2018). Elementary Statistics.
The shipbuilding industry plays a vital role in international trade, with ship construction being a complex
technical process requiring skilled labor. This study aims to analyze and develop a standardized estimation model for
man-hour (MAN- HOURS) requirements in the execution of multiyear projects within the shipyard industry, specifically
at PT DEF. Based on historical data from the past 10 years encompassing 16 shipbuilding and general engineering
projects, the research employs a quantitative descriptive approach using multiple linear regression analysis. Key variables
include Project Duration (months), Contract Price (in million Rupiah), and Ship Weight (in tons), with man-hours as the
dependent variable. The results of the classical assumption tests—normality, multicollinearity, and heteroscedasticity—
indicate that the regression model meets the necessary statistical assumptions. Furthermore, hypothesis testing reveals that
the variables of Contract Price and ship weight significantly influence the man-hour requirements, whereas project
duration does not show a statistically significant impact. The resulting regression model provides a reliable basis for
predicting labor requirements in similar future projects. This standardization is expected to improve workforce planning
accuracy, enhance operational efficiency, and offer practical recommendations for optimizing multiyear projects in the
shipbuilding industry.
Keywords :
Man-Hour Requirements, Project Duration, Standardization, Cost Efficiency, Shipyard Industry.