Cost Analysis and Supervision of the Rehabilitation Construction of Several Reservoirs in the Brantas River Area, East Java

Authors

  • Atma Djendra Yuang Purbo Universitas 17 Agustus 1945 Surabaya, Indonesia
  • Esti Wulandari Universitas 17 Agustus 1945 Surabaya, Indonesia
  • Laksono Djoko Nugroho Universitas 17 Agustus 1945 Surabaya, Indonesia

DOI:

https://doi.org/10.46799/ajesh.v4i7.654

Keywords:

Earned Value, Project Performance, Cost and Schedule, Reservoir Rehabilitation, Construction Management

Abstract

Effective construction management is critical to ensuring projects are completed on time and within budget. However, budget overruns and schedule delays remain common due to factors such as material delays, price fluctuations, and challenging terrain. This study evaluates the cost and schedule performance of nine reservoir rehabilitation projects in the Brantas River area using the Earned Value Method (EVM) integrated with MS Project 2016. The research aims to analyze cost and schedule deviations through the Schedule Performance Index (SPI) and Cost Performance Index (CPI), assess the effectiveness of EVM in improving project efficiency, and provide recommendations for better oversight. This research is carried out through the method of analyzing the concept of value (Earned Value), which can be determined from the performance of the activities undertaken to increase effectiveness and efficiency, as well as to evaluate and monitor project activities. Findings reveal variations in performance across projects, with the Kerjen Reservoir, for example, experiencing a cost overrun of Rp15,816,784 and an SPI of 0.66, indicating significant delays, while the CPI of 1.10 suggests cost inefficiencies. Delays were attributed to material shortages, difficult terrain, and unexpected price changes. The study demonstrates that EVM, supported by project management software, enhances transparency and decision-making in construction supervision. These insights contribute to optimizing public infrastructure projects by minimizing deviations and improving resource management.

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Published

2025-07-29