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The Influence Of Modified Concrete In Loftvilles City Apartment Project In South Tangerang, Banten Olfa Finatry; Mirnayani Mirnayani; Mohamad F. N. Aulady
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 1 (2018): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

As one of major works in a construction project, reinforcing steel has to be carried out effectively and efficiently. Unfortunately, obstacles often occur on site, such as the massive spacer chair volume that demands higher cost and time to finish. To solve this problem, we would like to substituting the spacer chair with modified concrete construction that was first proposed by PT. PP (Persero). The result of this research proved that duration gap between those methods was 1 working day. This indicate that concrete modification is more effective than conventional spacer chair
PROBABILITY ANALYSIS OF COST AND TIME ACCURACY USING THE CONCEPT OF YIELD VALUE AND MONTE CARLO (Case Study: SIBS Girls' Dormitory Building Construction Project) Mentari, Putri Ayu; ., Mirnayani
Jurnal Ilmiah MITSU (Media Informasi Teknik Sipil Universitas Wiraraja) Vol 14 No 1 (2026): Jurnal Ilmiah MITSU
Publisher : Fakultas Teknik, Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/ft.v14i1.3750

Abstract

The SIBS Women's Dormitory Building Construction Project faced significant delays and design alterations, causing changes in project costs and timelines. This study aims to identify delay factors, evaluate cost and time performance using the Earned Value Method (EVM), and estimate the probability accuracy of cost and duration using Monte Carlo simulation. Data were collected through direct observations, stakeholder interviews, and document analysis. Main factors causing delays include adverse weather, challenging site accessibility, delayed material deliveries, and a design change from three to four floors. Initial completion estimates of 623 days showed an accuracy probability of 2.03%, while the revised EVM estimate of 652 days significantly improved accuracy to 73.91%. The probability accuracy for remaining costs of Rp1.948.950.796 using EVM was 19.61%. The findings suggest combining EVM with Monte Carlo simulation effectively enhances predictions and management of construction project costs and durations.