EVALUASI KINERJA PROYEK KONSTRUKSI PABRIK KELAPA SAWIT: STUDI KASUS PERBANDINGAN METODE EARNED VALUE MANAGEMENT

Abstract

The palm oil industry plays a pivotal role in Indonesia’s economic growth, significantly contributing to national revenue and employment opportunities. Despite its strategic importance, the construction of palm oil mills often faces classic project management challenges such as schedule delays and budget overruns due to high complexity, integrated technology systems, and large capital investment. These issues are further exacerbated by insufficient planning, poor monitoring systems, and inadequate coordination among contractors and suppliers, resulting in inconsistencies between planned and actual project performance indicators. Although Earned Value Management (EVM) has been widely recognized globally as an effective method for integrating cost and schedule control, its practical implementation within Indonesia’s industrial construction sector, especially in palm oil mill projects, remains underexplored and lacks comparative analysis across multiple projects conducted simultaneously. Addressing this gap, this study aims to analyze and compare the project performance of two palm oil mill construction sites using the EVM method, focusing on key indicators: Schedule Performance Index (SPI) and Cost Performance Index (CPI). Secondary data were collected from weekly progress reports over a forty-week period for two parallel projects, PKS Sukses Sejati (SS) and PKS Tunggak Yunus (TY). The quantitative analysis revealed that PKS SS achieved an average SPI of 1.367 and CPI of 1.051, indicating faster progress and cost efficiency with notable pluctuations at early stages due to work acceleration strategies. In contrast, PKS TY demonstrated a lower average SPI of 1.147 and CPI of 1.042 but showed more stable trends over time, reflecting conservative schedule control and consistent budget anagement. The findings confirm that EVM provides reliable early warning signals for deviations and supports data-driven decision-making throughout project execution. This research highlights the practical implication that tailored EVM application can improve the accuracy of progress monitoring and budget control for complex industrial projects in Indonesia’s palm oil sector.