PENERAPAN MULTI-LEVEL ASSOCIATION RULE MINING PADA ANALISA KECACATAN PROYEK KONSTRUKSI
Abstract
Proyek konstruksi melibatkan banyak peserta (multiparties) untuk melakukan berbagai macam kegiatan yang direncanakan. Masing-masing peserta saling berinteraksi satu sama lain sehingga semua pekerjaan yang sudah dijadwalkan bisa selesai dikerjakan. Permasalahan utama dalam pelaksanaan proses konstruksi adalah ketidakefisienan. Ketidakefisienan tersebut berupa penggunaan sumber daya yang tidak menghasilkan nilai seperti yang diharapkan. Sehingga dalam pelaksanaannya seringkali ditemukan adanya cacat konstruksi. Pekerjaan yang cacat menyebabkan adanya keterlambatan dan pembengkakan biaya, serta memicu adanya sengketa antar pelaksana pada masa konstruksi dan operasi. Untuk mengatasi permasalahan tersebut, perlu dilakukan identifikasi faktor-faktor penyebab kecacatan dalam proyek konstruksi. Dengan mengetahui faktor-faktor tersebut, diharapkan pihak menejemen dapat mengontrol dan mengendalikan pekerjaan. Penelitian ini menggunakan pendekatan Multilevel Association Rule Mining untuk menemukan pola kecacatan tersebut. Hasil penelitian menunjukkan bahwa metode ini dapat menemukan pola kecacatan dalam industri konstruksi yang kemudian digunakan sebagai dasar pembuatan mitigation plan dalam upaya mencegah kerugian perusahaan.
Kata Kunci : multi level association rule mining, kecacatan proyek konstruksi
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References
Agarwal, R., R. Srikant, 1994, Fast algorithm for mining association rules in large database, Proceedings of the 20th International Conference on Very Large Databases, Santiago de: Chile, pp. 487–489.
Aljassmi, H., S. Han, 2013, Analysis of causes of construction defects using fault trees and risk importance measures, Journal of Construction Engineering Management, 139(7): 870–880.
Assaf, S., A.M. AI-Hammad, M. AI-Shihah, 1996, Effects of faulty design and construction on building maintenance, Journal of Performance of Constructed Facilities, 10(4): 171–174.
Chong, W. K., S. P. Low, 2005, Assessment of defects at construction and occupancy stages, Journal of Performance of Constructed Facilities, 19(4): 283–289.
Forcada, N., M. Macarulla, P. Love, 2013, Assessment of residential defects at post-handover, Journal of Construction Engineering Management, 139(4): 372–378.
Georgiou, J., P. Love, J. Smith, 1999, A comparison of defects in houses constructed by owners and registered builders in the Australian state of Victoria, Structural Survey, 17(3): 160–169.
Georgiou, J., 2010, Verification of a building defect classification system for housing, Structural Survey, 28 (5), 370–383.
Josephson, P. E., Y. Hammarlund, 1999, The causes and costs of defects in construction: a study of seven building projects, Journal of Automation in Construction, 8(6): 681–687.
Love, P.E.D., et al., 2009, Divergence or congruence? A pathmodel of rework for building and civil engineering projects, Journal of Performance of Constructed Facilities, 23(6): 480–488.
Macarulla, M., N. Forcada, M. Casals, 2013, Standardizing housing defects: classification, validation, and benefits, Journal of Construction Engineering Management, 139(8): 968–976.
Park, C. S., et al., 2013, A framework for proactive construction defect management using BIM, augmented reality and ontology-based data collection template, Journal of Automation in Construction, 33(2): 61–71.
Watt, D., 2007, Building Pathology Principles and Practice, 2nd ed. Blackwell Science Ed., UK.
Witten, I. H., E. Frank, M.A. Hall, 2011, Data Mining: Practical Machine Learning Tools and Techniques, 3rd ed. Morgan Kaufmann Publishers, USA.
Yan, X., Zhang, C., Zhang, Sh., 2008, Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support, Journal of Expert Systems with Applications, 36(2): 3066–3076
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