Ramadhan, Dimas Nugroho (2025) Analisis Pengendalian Biaya Dan Waktu Dengan Menerapkan Metode Nilai Hasil Dan Percepatan Proyek Metode Crash Program Pada Pembangunan Gedung Bertingkat 3 Lantai. Other thesis, Fakultas Teknik.

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Abstract

Infrastructure development is significantly influenced by various factors that determine the success of project implementation. In construction work, there are time and cost constraints, making effective control essential to minimize deviations during the execution process. This study focuses on the issue of construction acceleration, where acceleration efforts are accompanied by an increase in resources to enhance productivity. The objective of this research is to analyze time and cost performance as well as the acceleration of the project under study. The approach applied in this study involves the Earned Value Method to assess cost and time performance based on Cost Variance (CV), Cost Performance Index (CPI), Schedule Variance (SV), and Schedule Performance Index (SPI), using parameters such as Budget Cost of Work Scheduled (BCWS), Budget Cost of Work Performed (BCWP), and Actual Cost of Work Performed (ACWP). Additionally, the time and cost implications of work acceleration through the Crash Program method, involving additional labor and overtime, are also examined. Based on the scheduling analysis using Microsoft Project, the Crash Program was focused on structural concrete work, as it is a critical task in this construction project. The performance analysis results up to the 24th week indicate that, in terms of cost, the project achieved savings, as shown by a positive CV of IDR 322.236.850,02 and a CPI of 1.04 > 1. However, in terms of time, the project experienced delays, indicated by a negative SV of IDR 680.442.936,75 and an SPI of 0.92 < 1. The Crash Program implemented by adding a total of 20 additional workers successfully reduced the required duration by 5.76%, with a cost savings of 0.05%. Meanwhile, the Crash Program using four hours of overtime per day reduced the maximum duration by 4.19%, but resulted in an additional cost of 0.94%. From the comparison of these two acceleration simulations, it can be concluded that increasing the number of workers is a more effective approach for acceleration.

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