Analysis of Fabrication Work Progress Based on Time Duration and Component Weight at PT. DIP Engineering

Authors

DOI:

https://doi.org/10.62375/jsintak.v4i1.719

Keywords:

Fabrication Work Progress, Time Duration, Component Weight

Abstract

This study aims to analyze the progress of fabrication work at PT. DIP Engineering based on time parameters and component weight. The research method used is descriptive quantitative by analyzing secondary data of daily production output and inter-stage durations. The results show that peak activity occurred at the end of May, followed by a decline in early June due to design revisions and stage transitions. Duration analysis identified the waiting time from fit-up to welding as the main bottleneck, with an average of 5.42 days (73% of the total 7.42-day cycle). Pearson correlation test showed a strong and significant positive relationship between weight and quantity of item in the welding and visual inspection stages, although the coefficient of determination indicates that other factors such as item complexity also have a major influence. The study concludes that monitoring based on weight and time data provides objective insights for production planning, and optimization efforts should be focused on reducing queues at the welding stage to accelerate the overall production cycle.

References

A. Sugilar, “Jurnal Teslink : Teknik Sipil dan Lingkungan Identifikasi Biaya K3 Dalam Pekerjaan Fabrikasi Tulangan Besi di proyek,” vol. 1, no. 1, pp. 1–8, 2020, doi: 10.52005/teslink.v115i1.xxx.

J. Fan, Y. Liu, L. Zhou, K. Zhao, and S. Cai, “Prefabricated building policy and low-carbon transformation of China’s construction industry,” Energy Build, vol. 347, p. 116328, Nov. 2025, doi: 10.1016/J.ENBUILD.2025.116328.

Y. Zhang and H. Mo, “Intelligent building construction cost optimization and prediction by integrating BIM and elman neural network,” Heliyon, vol. 10, no. 18, p. e37525, Sep. 2024, doi: 10.1016/J.HELIYON.2024.E37525.

K. Torres et al., “Exploring the knowledge structure of building information modeling (BIM) adoption in construction scheduling: A bibliometric analysis from 2008 to 2024,” Ain Shams Engineering Journal, vol. 16, no. 8, p. 103446, Aug. 2025, doi: 10.1016/J.ASEJ.2025.103446.

S. Arvikar, P. P. W. Aung, G. Cha, and S. Park, “Augmented Reality-based construction site management using optimized BIM and project schedule integration,” Autom Constr, vol. 175, p. 106204, Jul. 2025, doi: 10.1016/J.AUTCON.2025.106204.

J. B. B. Pea-Assounga, H. Yao, G. Mulindwa Bahizire, P. D. R. Bambi, and J. D. Nima Ngapey, “Effect of financial innovation and stakeholders’ satisfaction on investment decisions: Does internet security matter?,” Heliyon, vol. 10, no. 6, p. e27242, Mar. 2024, doi: 10.1016/J.HELIYON.2024.E27242.

M. Heydari and A. Shojaei, “Blockchain applications in the construction supply chain,” Autom Constr, vol. 171, p. 105998, Mar. 2025, doi: 10.1016/J.AUTCON.2025.105998.

T. Lan, P. Feng, J. Zhang, X. Zhang, and J. Wang, “Digital twin-driven senseless cutting force monitoring and vibration stability control of a rotary ultrasonic machining system,” Mech Syst Signal Process, vol. 223, Jan. 2025, doi: 10.1016/j.ymssp.2024.111922.

J. Tao, N. M. Nor, and A. B. Bin Abdullah, “Acoustic signal-based automated control of welding penetration using digital twin technology,” Mech Syst Signal Process, vol. 208, p. 110962, Feb. 2024, doi: 10.1016/J.YMSSP.2023.110962.

D. Ismael and T. Shealy, “Sustainable construction risk perceptions in the Kuwaiti construction industry,” Sustainability (Switzerland), vol. 10, no. 6, Jun. 2018, doi: 10.3390/SU10061854.

A. L. Olanrewaju, “Foundations of sustainable construction management with international benchmarking,” Sustainable Futures, vol. 10, p. 101155, Dec. 2025, doi: 10.1016/J.SFTR.2025.101155.

K. Khun-Anod and C. Limsawasd, “Pre-project planning process study of green building construction projects in Thailand,” Engineering Journal, vol. 23, no. 6, pp. 67–81, Nov. 2019, doi: 10.4186/EJ.2019.23.6.67.

Y. Kelvin and D. H. Sulistio, “Pengaruh Produktivitas terhadap Biaya Pekerjaan Fabrikasi Besi Proyek Indonesia 1 dengan Metode Crew Balance Chart,” Jurnal Mitra Teknik Sipil, vol. 1, no. 2, pp. 61–70, Nov. 2018.

M. S. Kenevisi et al., “Tool steels and their additive manufacturing for fabrication and repair via PBF and DED processes: techniques, challenges, and applications,” Mater Des, vol. 258, p. 114639, Oct. 2025, doi: 10.1016/J.MATDES.2025.114639.

S. Alsulamy, “Predicting construction delay risks in Saudi Arabian projects: A comparative analysis of CatBoost, XGBoost, and LGBM,” Expert Syst Appl, vol. 268, p. 126268, Apr. 2025, doi: 10.1016/J.ESWA.2024.126268.

M. B. Ahmadzai and K. Ye, “A mixed-method investigation of the root causes of construction project delays in Afghanistan,” Heliyon, vol. 11, no. 2, p. e41923, Jan. 2025, doi: 10.1016/J.HELIYON.2025.E41923.

L. Zhao, X. Qin, and C. Chen, “Research on Risk Factors of Construction Project Delays Based on System Dynamics,” Procedia Comput Sci, vol. 266, pp. 349–356, Jan. 2025, doi: 10.1016/J.PROCS.2025.08.044.

K. Castañeda, O. Sánchez, C. A. Peña, R. F. Herrera, and G. Mejía, “BIM-lean integration for construction scheduling of road intersections,” Autom Constr, vol. 176, p. 106247, Aug. 2025, doi: 10.1016/J.AUTCON.2025.106247.

A. S. Patil, A. K. Agarwal, K. Sharma, and M. K. Trivedi, “Time-cost trade-off optimization model for retrofitting planning projects using MOGA,” Asian Journal of Civil Engineering, vol. 25, no. 5, pp. 3823–3833, Jul. 2024, doi: 10.1007/S42107-024-01014-Y.

T. Wang, M. Abdallah, C. Clevenger, and S. Monghasemi, “Time–cost–quality trade-off analysis for planning construction projects,” Engineering, Construction and Architectural Management, vol. 28, no. 1, pp. 82–100, Jul. 2020, doi: 10.1108/ECAM-12-2017-0271.

C. Hu, J. Wang, and Y. Mei, “Uncertain Time-Resource-Cost Trade-Off Models for Construction Project Schedule,” KSCE Journal of Civil Engineering, vol. 25, no. 8, pp. 2771–2778, Aug. 2021, doi: 10.1007/S12205-021-1798-7.

X. Chen, Y. Wang, J. Wang, A. Bouferguene, and M. Al-Hussein, “Vision-based real-time process monitoring and problem feedback for productivity-oriented analysis in off-site construction,” Autom Constr, vol. 162, p. 105389, Jun. 2024, doi: 10.1016/J.AUTCON.2024.105389.

M. Irfan, M. B. Khurshid, P. Anastasopoulos, S. Labi, and F. Moavenzadeh Fred, “Planning-stage estimation of highway project duration on the basis of anticipated project cost, project type, and contract type,” International Journal of Project Management, vol. 29, no. 1, pp. 78–92, Jan. 2011, doi: 10.1016/J.IJPROMAN.2010.01.001.

S. Kaleem, M. Irfan, and H. F. Gabriel, “Estimation of highway project duration at the planning stage and analysis of risk factors leading to time overrun,” T and DI Congress 2014: Planes, Trains, and Automobiles - Proceedings of the 2nd Transportation and Development Institute Congress, pp. 612–626, 2014, doi: 10.1061/9780784413586.059.

M. G. Meharie, Z. C. A. Gariy, R. N. N. Mutuku, and W. J. Mengesha, “Prioritizing Key Duration Estimation Accuracy Factors in Highway Infrastructure Projects Using Fuzzy AHP,” The Open Civil Engineering Journal, vol. 13, no. 1, pp. 92–108, Jan. 2019, doi: 10.2174/1874149501913010092.

R. Gusrita and N. Hayati, “The Correlation Analysis between the Number of CIF and the Number of Account at Bank Syariah Indonesia KCP Batam Raden Patah,” Jurnal Sintak, vol. 3, no. 1, 2024.

Downloads

Published

2025-09-23

How to Cite

Oktavia, R. D., & Hayati, N. (2025). Analysis of Fabrication Work Progress Based on Time Duration and Component Weight at PT. DIP Engineering. JURNAL SINTAK, 4(1), 20–30. https://doi.org/10.62375/jsintak.v4i1.719