Abstract:
Inef icient human resource management, characterized by fluctuations in labor
demand, often leads to delays and cost overruns in construction projects. The
Of ice Factory Construction Project of PT Macroprima Panganutama in
Semarang Regency experienced similar issues, where suboptimal workforce
management resulted in schedule delays. This research aims to analyze and
optimize the use of construction labor using the Resource Leveling method and to
determine the most ef ective labor model to approximate the original planned
duration. The research method employed is quantitative descriptive with a case study on the
aforementioned project. The analysis was conducted using Microsoft Project 2021
software, which included creating a network diagram with the Precedence
Diagram Method (PDM) to identify the critical path, developing a histogram
model to visualize fluctuations, and applying the Resource Leveling method
through a trial-and-error approach. The data used consists of primary data from
observations and secondary data such as the time schedule and labor attendance
records. The analysis of the initial (existing) condition revealed that the project schedule
was delayed from the planned 111 days to 139 days after resource leveling was
applied. After testing several modeling scenarios, it was found that the 3rd model
was the most ideal solution. This model resulted in a project completion duration
of 119 days, only an 8-day dif erence from the original plan. This was achieved by
increasing the number of laborers: workers from 35 to 45, masons from 14 to 16, steelworkers from 9 to 12, and a foreman from 1 to 2. This model proved
successful in significantly reducing labor demand fluctuations and producing a
more balanced histogram.
