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Tahapari, Yesia
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Civil Engineering, Building, Construction & Architecture Transportation

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MODEL ESTIMASI BIAYA DENGAN COST SIGNIFICANT MODEL DAN ARTIFICIAL NEURAL NETWORK PROYEK PENINGKATAN JALAN ASPAL DI YOGYAKARTA Tahapari, Yesia; Nugroho, Arief Setiawan Budi; Suparma, Latif Budi
Jurnal Teknik Sipil Vol 16, No 2 (2021)
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.061 KB) | DOI: 10.24002/jts.v16i2.4778

Abstract

The need for an analytical method that may provide an accurate project cost estimation with minimal data availability becomes very necessary. Therefore, this research was conducted to determine and compare the cost estimation model based on the Cost Significant Model (CSM) and Artificial Neural Network (ANN) with two modeling approaches, ANN-1 and ANN-2. The models were developed based on 28 data of road improvement projects in Yogyakarta from the year 2010 until 2019. The analysis results show that the ANN-2 provides the best validation compared to the ANN-1 and the CSM model. The value of Mean Absolute Percentage Error (MAPE) of ANN-1 with the 3-8-1 net scheme provides a value of 12.687%, while that of ANN-2 with 10-15-1 net scheme is 8,132% and the MAPE value of the CSM model produces a value of 14.757%.
Co-Authors Latif Budi Suparma Nugroho, Arief Setiawan Budi