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Analysis of Project Time Acceleration Using The Crashing Method in The Rehabilitation Project of SMPN 2 Pasongsongan, Sumenep District Moh Ali Lutfi M. K.; Budi Witjaksana; Jaka Purnama
Interdiciplinary Journal and Hummanity (INJURITY) Vol. 4 No. 4 (2025): INJURITY: Journal of Interdisciplinary Studies.
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v4i4.1403

Abstract

Delays in construction projects often result in increased costs and inefficiencies, which can negatively impact project management and resource allocation. To address these issues, this study analyzes project duration acceleration using the Crashing Method by incorporating overtime work hours and additional workforce into the rehabilitation project of SMPN 2 Pasongsongan, Sumenep Regency. This research aims to determine the extent of time reduction achievable when implementing a 3-hour overtime strategy and increasing the workforce simultaneously. Utilizing Microsoft Project 2016, the study compares the original 150-day schedule with an accelerated version using the Crashing Method. The results indicate that the project duration can be reduced to 140 days, saving 10 days. However, this acceleration incurs an additional cost of IDR 21,566,522, primarily due to labor expenses and extended work hours. The study further examines the trade-offs between time efficiency and cost implications, highlighting the importance of effective resource management in construction projects. Findings suggest that the Crashing Method is an effective strategy for project acceleration, provided that cost-benefit analysis, workforce efficiency, and resource availability are carefully considered. The study also emphasizes that proper coordination among project stakeholders, optimized scheduling, and proactive risk assessment are critical for ensuring that acceleration does not compromise work quality or safety standards. By offering insights into the practical application of the Crashing Method, this research serves as a valuable reference for project managers and construction planners seeking to improve time efficiency while maintaining budget control in infrastructure projects.
Analysis of Workforce Workload for Production Efficiency Improvement in Sandal Manufacturing Using Workload Analysis and Cardiovascular Load Methods Hilbram Ramadaniel Setiawan; Jaka Purnama
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 13 No. 01 (2026): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v13i01.11115

Abstract

This study aims to analyse workforce workload and determine the optimal number of workers in the sandal production process at UD. Al Athyyah Mojokerto using the Workload Analysis (WLA) and Cardiovascular Load (CVL) methods. The company experiences workload imbalances across several production sections, resulting in bottlenecks and the inability to meet production demand. Average monthly demand reaches 5,000 pairs of sandals, whilst actual production only reaches approximately 4,700–4,800 pairs. Data collection was conducted through direct observation, interviews, and stopwatch time studies in the cutting, sewing, assembly, and finishing sections. The collected data were processed to calculate cycle time, standard time, workload percentage, and cardiovascular load values to evaluate both operational and physiological workload conditions. The results show that several workstations are categorised as overloaded, namely Cutting 1 (124%), Sewing 1 (106%), Sewing 2 (117%), Sewing 3 (108%), Sewing 4 (127%), Assembly 3 (102%), and Finishing 2 (105%). Meanwhile, several other activities were classified as underloaded. The CVL analysis indicates that most workers experience moderate to heavy physical workloads, particularly in the sewing and assembly sections, which may lead to worker fatigue and reduced productivity. Based on the analysis results, additional workers are required in overloaded workstations to achieve a more balanced workload distribution and improve production efficiency. The integration of WLA and CVL methods provides a comprehensive evaluation of workforce conditions and supports workforce planning in labour-intensive manufacturing industries.