Model Perangkingan Proyek Kontruksi Pada Asosiasi Kontraktor Menggunakan Fuzzy AHP
(1) Universitas Atma Jaya Yogyakarta
(2)
(3)
Abstract
Pemilihan proyek potensial dari paket lelang konstruksi yang ditawarkan merupakan permasalahan yang kompleks pada asosiasi kontraktor. Paket lelang yang ditawarkan oleh pemerintah melalui Kementerian Pekerjaan Umum (PU) untuk wilayah Sumatera Utara tahun 2013 terdapat 96 paket, tahun 2014 terdapat 69 paket. Dari banyaknya paket yang ditawarkan, masing-masing paket memiliki beberapa kriteria sebagai persyaratan, salah satunya adalah pengalaman perusahaan. Artikel ini fokus pada perangkingan proyek berdasarkan evaluasi proyek yang sudah dikerjakan sebelumnya. Keberhasilan suatu proyek ditentukan oleh beberapa kriteria, maka pendekatan yang digunakan Multi Criteria Decision Analysis (MCDA) dengan metode Fuzzy Analytic Hierarchy Process (FAHP), data diperoleh dari Asosiasi Kontraktor Air Indonesia (AKAINDO) Sumatera Utara. Hasilnya adalah rekomendasi proyek potensial berdasarkan skor tertinggi, yaitu sub-bidang perpipaan.
Keywords
Full Text:
PDFReferences
S. T. Ng and Z. Tang. 2010. Labour-intensive construction sub-contractors : Their critical success factors. International Journal of Project Management. vol. 28, no. 7, pp. 732–740.
M. Safa, A. Shahi, C. T. Haas, and K. W. Hipel. 2014. Automation in Construction Supplier selection process in an integrated construction materials management model. Automation in Construction. vol. 48, pp. 64–73.
J. I. Alzahrani and M. W. Emsley. 2013. The impact of contractor's attributes on construction project success : A post construction evaluation. JPMA. vol. 31, no. 2, pp. 313–322.
P. O. Akadiri, P. O. Olomolaiye, and E. A. Chinyio. 2013. Automation in Construction Multi-criteria evaluation model for the selection of sustainable materials for building projects. Automation in Construction. vol. 30, pp. 113–125.
M. C. Ruiz, E. Romero, M. A. Pérez, and I. Fernández. 2012. Automation in Construction Development and application of a multi-criteria spatial decision support system for planning sustainable industrial areas in Northern Spain. Automation in Construction. vol. 22, pp. 320–333.
H. Nguyen, S. Zawiah, Y. Nukman, and H. Aoyama. 2014. Expert Systems with Applications A hybrid approach for fuzzy multi-attribute decision making in machine tool selection with consideration of the interactions of attributes. Expert Systems With Applications. vol. 41, no. 6, pp. 3078–3090.
K. Nassar and O. Hosny. 2013. Automation in Construction Fuzzy clustering validity for contractor performance evaluation : Application to UAE contractors. Automation in Construction. vol. 31, pp. 158–168.
D. Ergu, G. Kou, Y. Shi, and Y. Shi. 2014. Computers & Operations Research Analytic network process in risk assessment and decision analysis. Computers and Operation Research. vol. 42, pp. 58–74.
M. Behzadian, S. K. Otaghsara, M. Yazdani, and J. Ignatius. 2012. Expert Systems with Applications A state-of the-art survey of TOPSIS applications. Expert Systems With Applications. vol. 39, no. 17, pp. 13051–13069.
I. Igoulalene, L. Benyoucef, and M. Kumar. 2015. Expert Systems with Applications Novel fuzzy hybrid multi-criteria group decision making approaches for the strategic supplier selection problem. Expert Systems With Applications. vol. 42, no. 7, pp. 3342–3356.
S. Aminbakhsh, M. Gunduz, and R. Sonmez. 2013. Safety risk assessment using analytic hierarchy process ( AHP ) during planning and budgeting of construction projects. Journal of Safety Research. vol. 46, pp. 99–105.
J. Rezaei, P. B. M. Fahim, and L. Tavasszy. 2014. Expert Systems with Applications Supplier selection in the airline retail industry using a funnel methodology : Conjunctive screening method and fuzzy AHP. Expert Systems With Applications. vol. 41, no. 18, pp. 8165–8179.
M. Kabak, E. Köse, and S. Burmao. 2014. A fuzzy multi-criteria decision making approach to assess building energy performance. Automation in Construction . vol. 72, pp. 382–389.
K. Shaw, R. Shankar, S. S. Yadav, and L. S. Thakur. 2012. Expert Systems with Applications Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Systems With Applications. vol. 39, no. 9, pp. 8182–8192.
N. Pan. 2008. Automation in Construction Fuzzy AHP approach for selecting the suitable bridge construction method. Automation in Construction . vol. 17, pp. 958–965.
Refbacks
- There are currently no refbacks.
Scientific Journal of Informatics (SJI)
p-ISSN 2407-7658 | e-ISSN 2460-0040
Published By Department of Computer Science Universitas Negeri Semarang
Website: https://journal.unnes.ac.id/nju/index.php/sji
Email: [email protected]
This work is licensed under a Creative Commons Attribution 4.0 International License.