Analisis Kriteria Pemilihan Pemenang TenderKontaktor Konstruksi di DKI Jakarta
Abstract
Abstract
In Indonesia, the process of selecting public service sector contractors is regulated in Presidential Decree No. 16 of 2018. It seems fairly complete selection methods, but theapplication still has several weak points.Due to the ability of evaluations which are very limitedand based on the lowest bid evaluation system only, it doesn’t get optimum results in terms oftime, quality, and cost in the construction phase. Inexperienced and poor performancecontractors undertake most of the projects established by this selection method. As analternative, the application of value-based evaluation methods (scoring) is a challenge in publicservice sector projects in DKI Jakarta. To overcome this problem, the research uses AnalyticalHierarchy Process and sensitivity analysis tools to determine criteria, sub-criteria, and weightsas input for refining the selection of tender winners. The results of data processing showed thathe criteria for the financial capability that had the most impact, 44.9% small scale companies, 39.3% medium scale companies, and 45.4% large scale companies. The lowest weight in largescale companies is in the HSE policy criteria at 10.2%, meanwhile, the lowest weight in smaland medium scale companies is company experiences criteria with 12.0% and 13.1%respectively. Some differences found that the dominant criteria and the most sensitive criteria, iis the implication of this study for tender criteria selection. Furthermore, the composition ocriteria and sub-criteria based on each company's scale would have to re-evaluate by the government as the policymaker on public service construction projects. Therefore, companies will also make some adjustments to the policies.
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Akmaludin, 2015, Multi Criteria Analysis Menentukan Point Weight, Jurnal Pilar Nusa
Mandiri Vol. XI, No.1 .
Alfian dan Gussyafri, H., 2015, Penilaian Penawaran Terendah Yang Responsif, Jurnal
Teknik Sipil Volume 13, No. 3, 206-215.
Aminullah, E., 2003, Berpikir Sistem dan Pemodelan Dinamika Sistem, Makalah Kuliah
Umum. Program Pascasarjana, Program Studi Ilmu Pengelolaan Sumberdaya Alam dan
Lingkungan, Institut Pertanian Bogor.
Aminullah, E., dan Yuwono, Y., 2004, Berpikir Sistemik: Untuk Pembuatan Kebijakan
Publik, Bisnis dan Ekonomi, 1-58.
Anagnostopoulos, K., dan Vavatsikos, A., 2006, An AHP Model for Construction
Contractor Prequalification, Operational Research. 6. 333-346. 10.1007/BF02941261.
Operational Research.
Bhatt, R. B., dan Zala, M., 2011, An Approach of Contractor Selection by Analytical
Hierarchy Process. National Conference on Recent Trends in Engineering & Technology,
India.
Budiastuti, D., dan Bandur, A., 2018, Validitas dan Reabilitas Penelitian, Mitra Wacana
Media, Jakarta.
Chan, A., 2002, Framework of Success Criteria for Design/Build Project, Journal
Managerial Engineering.
Ekabaram, P., Kumaraswamy, M., dan Ng, T., 2003, Targeting Optimum Value in Public
Sector Projects Through “Best Value” Focused Contractor Selection, Engineering
Construction & Architectural Management.
Eriyanto, 1998, Ilmu Sistem: Meningkatkan Mutu dan Effektivitas Manajeme, IPB, Bogor.
Fauzie, A., 2019, https://radarbojonegoro.jawapos.com/read/2019/07/13/145829/nilaiproyek-turun-miliaran,
from
radarbojonegoro.jawapos.com:
https://radarbojonegoro.jawapos.com/read/2019/07/13/145829/nilai-proyek-turun-miliaran.
Gayatri V.S., dan Chetan M.S., 2013, Comparative Study of Different Multi-Criteria
Decision-Making Methods, College of Engineering Pune, India .
Hatush, Z., dan Skitmore, M., 1997, Criteria for Contractor Selection, Construction
Management and Economics .
Hatush, Z., dan Skitmore, M., 1997, Criteria for Contractor Selection, Construction
Management and Economics .
Honggowibowo, A.S., 2010, Implementasi Metode Analytical Hierarchy Process untuk
Pengambilan Keputusan Pemilihan Foto Berdasarkan Tujuan Perolehan Foto, Jurusan
Teknik Informatika Sekolah Tinggi Teknologi Adisutjipto .
Ishizaka, A., dan Labib, A., 2009, Analytic Hierarchy Process and Expert Choice: Benefits
and Limitations, ORInsight .
Kashiwagi, D., Parmar, D., dan Savicky, J., 2004, Traditional Low-Bid Procurement
System Versus Performance Information Procurement System (PIPS) In Construction
Industry, Performance Based Studies Research Group (PBSRG), Arizona State University,
PO Box 870204, 708.
Khan, T.H., dan Khan, A.Q., 2015, Effects of Lowest Bidding Bid Awarding System in
Public, Global Journal of Management and Business Research: G Interdisciplinary .
Lindberg, N., dan Furusten, S., 2005, Breaking Laws-Making Deals. Dealing with
Confidence. The Construction of Need and Trust in Management Advisory Services.
Copenhagen Business School Press, Copenhagen
DOI: https://doi.org/10.35308/jts-utu.v6i2.2751
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