Non Linear EVM based on Support Vector Regression Growth Model for Predicting Project Completion Time
نویسندگان
چکیده
Earned Value Management (EVM) is a method used to monitor and predict project completion time. This uses linear approach in predicting time completion. Unfortunately, most of the projects run dynamic environments with complex characteristics, causing progress require non-linear approach. That why use EVM monitoring less effective. study proposes more realistic alternative using non-Linear based on Support Vector Regression (SVR) - Growth Model. The SVR-growth model accommodate project, while represent predicted results For validation, 5 data oil gas field development construction Jawa, Bali Nusa Tenggara Regions were as case studies. this indicate that prediction SVR-Growth Model provide high accuracy precision compared traditional
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ژورنال
عنوان ژورنال: Jurnal sosial humaniora
سال: 2022
ISSN: ['1979-5521', '2443-3527']
DOI: https://doi.org/10.12962/j24433527.v15i1.11268