PLANNING OF HEAVY EQUIPMENT REQUIREMENT IN EXCAVATION AND SOIL MANAGEMENT WORK (CASE STUDY : MEDICAL BUILDING CONSTRUCTION PROJECT PHASE 2 OF SITI KHODIJAH MUHAMMADIYAH HOSPITAL ALONG BRANCH)
Abstract
Earthwork on the Medical Building Construction Project Phase 2 of Siti Khodijah Muhammadiyah Hospital Along Branch is one of the main keys to withstand the building's resilience structure. This Building Construction Project has obstacles to the ongoing excavation and Mgrading work, tools that need to be improved, and less supportive terrain conditions. As a result, the completion of work may be delayed leading to cost overruns. Therefore, the need for an active role of management, especially productivity calculations, to determine fundamental change steps so that these obstacles can be avoided or reduced. To analyze the machine's productivity, it must be by the theory of machine productivity related to the subject matter obtained and the appropriate stages of analysis. Thus, machine planning must be carried out carefully and precisely so that the effectiveness of optimal machine use and time can be achieved by calculating the productivity value of the machine. Based on the data analysis, the results of heavy equipment needs were obtained, namely, two units of excavated excavators, five units of dump trucks, and two units of Mgrading excavators. With the total costs incurred to complete the excavation and Mgrading work, namely for excavators Rp. 124,785,550.00 and dump trucks Rp. 11,496,875.00. To complete the excavation and Mgrading work takes 205 hours excavator and 13 hours dump truck.
Keywords
Full Text:
PDFReferences
Alwi, S., & Wibowo, A. (2017). Factors affecting the productivity of heavy equipment in construction projects. IOP Conference Series: Materials Science and Engineering, 277(1), 012019. http://dx. doi.org/10.1088/1757-899X/277/1/012019
Teizer, J., Allread, B. S., Fullerton, C. E., & Hinze, J. W. (2016). Productivity analysis of excavator operations in highway construction. Journal of Construction Engineering and Management, 142(12), 04016075. http://dx.doi.org/ 10.1061/(ASCE)CO.1943-7862.0001221
Guo, B. H., & Zhang, S. (2016). Analysis of the factors affecting the productivity of excavators in earthmoving projects. Advances in Civil Engineering, 2016, 5750329. http://dx.doi.org/ 10.1155/2016/5750329
Ozcelik, Y., & Hancerliogullari, G. (2017). Determination of shovel-truck productivity in open-pit mines. Journal of Mining Science, 53(5), 939-948. http://dx.doi.org/10.1134/S1062739141701726
Anantatmula, V. S. (2018). A productivity measurement framework for earthmoving operations. Construction Research Congress, 2018, 216-225. doi: 10.1061/9780784481278.022
Shen, W., & Chung, W. (2015). Factors influencing productivity of earthmoving operations. Journal of Construction Engineering and Management, 141(10), 04015026. http://dx.doi.org/ 10.1061/(ASCE)CO.19437862.0001012
Akkaya, G., & Karpuz, C. (2019). Estimation of excavator productivity using artificial neural networks. Neural Computing and Applications, 31(10), 6147-6157. http://dx.doi.org/10.1007/s00521-018-3521-9
Seo, J., Kim, K. S., & Jeong, H. (2020). A study on the improvement of earthwork productivity through the analysis of major variables using data mining. Energies, 13(12), 3246. http://dx.doi.org/ 10.3390/en13123246
Chua, D. K., & Ong, K. C. G. (2019). Factors affecting the productivity of earthworks in residential projects. Engineering, Construction and Architectural Management, 26(10), 2299-2317. http://dx.doi.org/10.1108/ECAM-07-2018-0238
Lin, Y., & Li, L. (2016). Productivity analysis of an earthmoving operation with a linear programming approach. Journal of Civil Engineering and Management, 22(7), 878-888. http://dx.doi.org/10.3846/13923730.2014.891982
Gökçek, M., & Akçin, G. (2021). Analysis of factors affecting earthmoving equipment productivity in construction projects. Construction Innovation, 21(2), 250-267. http://dx.doi.org/10.1108/CI-01-2020-0009
Zhang, G., Wu, S., & Wang, D. (2018). Productivity improvement of earthmoving operations using data envelopment analysis. Journal of Computing in Civil Engineering, 32(5), 04018044. http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000805
Owusu-Manu, D. G., Edwards, D. J., & Holt, G. D. (2013). The use of innovative technologies in achieving construction equipment sustainability. International Journal of Sustainable Engineering, 6(2), 129-143. http://dx.doi.org/10.1080/19397038.2012.754043
Fang, D., Mohamed, S., & Li, H. (2004). Factors affecting construction labor productivity in Kuwait. Journal of Construction Engineering and Management, 130(4), 521-526. http://dx.doi.org/ 10.1061/(ASCE)0733-9364(2004)130:4(521)
Oraee, K., & Askari-Nasab, H. (2020). Factors affecting the productivity of earthmoving operations in construction projects: A case study. Journal of Construction Engineering, Management & Innovation, 1(1), 44-53. http://dx.doi.org/ 10.22061/JCEMI.2020.6530.1166
Ummah, Nisfu Fajarayana. & Sarya, Gede. (2023). Planning of Heavy Equipment Requirement in Excavation and Soil Management Work. Jurnal Teknik Sipil UNTAN. 23(2). 274-280. https://jurnal.untan.ac.id/index.php/jtsuntan/article/view/61072/pdf
DOI: https://doi.org/10.26418/jtst.v23i2.61072
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Jurnal TEKNIK-SIPIL
Jurnal Teknik Sipil Universitas Tanjungpura Indexed by :
ISSN 1412-3576 (print), 2621-8429 (online)
Published by :
Department of Civil Engineering, Faculty of Engineering, Tanjungpura University
Jl. Profesor Doktor H. Hadari Nawawi, Bansir Laut, Pontianak Tenggara, Kota Pontianak Kalimantan Barat Indonesia 78124
Telp./Fax: +0561-740186
Email: jts@untan.ac.id
CP: 081256123030-085245045025
Visitor Counter: Jurnal Teknik Sipil
In its management and publication, this Civil Engineering Journal collaborates with:
1. Masyarakat Hidrologi Indonesia
2. Forum Studi Transportasi Antar Perguruan Tinggi (FSTPT)
MAPS: