Measuring project performance using Earned Value Management (EVM) in XYZ software development project
- Olivia Permata Ariputri, Ika Arum Puspita, Wawan Tripiawan
- Corresponding Author
- Olivia Permata Ariputri
Available Online March 2019.
- https://doi.org/10.2991/icoiese-18.2019.42How to use a DOI?
- IT project, EVM, performance measurement, SPI, CPI
- The project of the research is a project-based service that develops customized reporting platform for the X multi finance company. It observed at the project execution stage and focusing on the monitor and control established in the project. The percentage of the problem occur based on the interviewees is 85% experience in over schedule and 15% experience in over budget. In order to increase the efficiency of the monitoring in the company, this paper proposed a monitoring method using Earned Value Management (EVM). This paper measured the project’s performance based on the last work performed after all the failure testing and errors are fixed. The research approach consists of the data collected, which are WBS, PV, EV, and AC of the project. The result of the performance measurements indicate the percentage of SV is 21% and SPI value is 0.79 showing the project is behind schedule for four weeks, while a percentage of CV is 9% over budget for the work perform and CPI value is 0.92 showing the project is over budget. The proposed suggestion is using EAC with value Rp157,802,419 to finish the work left and extend the project time for seven weeks based on the EAC calculation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Olivia Permata Ariputri AU - Ika Arum Puspita AU - Wawan Tripiawan PY - 2019/03 DA - 2019/03 TI - Measuring project performance using Earned Value Management (EVM) in XYZ software development project BT - 2018 International Conference on Industrial Enterprise and System Engineering (ICoIESE 2018) PB - Atlantis Press SN - 2589-4943 UR - https://doi.org/10.2991/icoiese-18.2019.42 DO - https://doi.org/10.2991/icoiese-18.2019.42 ID - Ariputri2019/03 ER -