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Journal : Rekayasa Sipil

PENGGUNAAN SIMULASI KOMPUTER UNTUK OPTIMALISASI KEBUTUHAN ALAT BERAT PEKERJAAN PEMINDAHAN TANAH Arief Setiawan Budi Nugroho; Akhmad Aminullah
Rekayasa Sipil Vol. 15 No. 2 (2021)
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2021.015.02.9

Abstract

Earthmoving work is often performed based on simple calculation and experience. This practice may work on a small project. However, for a big project in which a large excavation volume must be accomplished, managing the work become more complex. Some different equipment in various types and sizes need to be assigned. Project managers should determine the best combination of equipment with the correct amount to achieve a satisfactory result. This research was conducted to optimize the productivity-cost index in earthmoving works using a discrete event simulation (DES) analysis in four different schemes. An underpass project in Yogyakarta was used as the case study. The optimal combination of equipment was determined by the highest value of the productivity-cost index. The result shows that the highest productivity-cost index of 18.22 was achieved by the combination of four big excavators and 90 small trucks (2E4 90D1). It offered a better productivity-cost index compare to the contractor’s existing equipment combination which could only reach a productivity-cost index of 5.3.
Estimasi Dimensi Optimum dan Rasio Tulangan Gedung Hotel Yogyakarta dengan Artificial Neural Network Akhmad Aminullah; Kinanti Faradiba Harahap; Henricus Priyosulistyo
Rekayasa Sipil Vol. 16 No. 3 (2022): Rekayasa Sipil Vol.16. No.3
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2022.016.03.5

Abstract

Cost estimation at the conceptual design stage of a building is necessary because it is considered as a fundamental input in further decision making. This paper presented a neural network method in approximating the optimum dimension and the minimum reinforcement ratio of beams and columns at the conceptual design stage of hotel buildings in Yogyakarta. A group of 27 building variations were prepared as the training data for the set up neural network model. Fourteen empirical formulas were obtained which could be used to estimate the optimum dimension and minimum reinforcement ratio of beams and columns with 5 parameters which consist of soil sites class, beam spans, number of floors, concrete strengths and diameters of the reinforcing bar.