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Analisis Kriteria Pemilihan Pemenang TenderKontaktor Konstruksi di DKI Jakarta Ricky Rinaldi; Mardiaman Mardiaman
Jurnal Teknik Sipil dan Teknologi Konstruksi Vol 6, No 2 (2020): Jurnal Teknik Sipil & Teknologi Konstruksi
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (794.29 KB) | DOI: 10.35308/jts-utu.v6i2.2751

Abstract

AbstractIn 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.
PEMILIHAN METODE PEMBONGKARAN GEDUNG BERTINGKAT MENGGUNAKAN ANALYTICAL HIERARCHY PROCESS Mardiaman; Fernando Simarmata
Jurnal Rekayasa Teknik Sipil dan Lingkungan - CENTECH Vol. 2 No. 2 (2021): OKTOBER ISSN 2722-0230 (Online)
Publisher : UKI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1259.125 KB)

Abstract

The demolition is the final stage in assets life cycle. The demolished building is after reaching its life span, where the age is different for each type of building and the country where the building is located. This study focuses on the demolition of the IFC high-rise building in Jakarta. There are 4 commonly applied demolition methods: manual methods, manual with machines, mechanical, and explosives. Each method has positive and negative impacts. The purpose of this research was to choose the best method. The selection uses a hierarchical process analytical method—a list of criteria. Sub-criteria and alternatives were obtained from various sources of literature and experience. 4 elected experts filling out questions regarding criteria, sub-criteria, and alternatives were carried out in building demolition and carried out face-to-face. There are 4 criteria, 12 sub-criteria, and 4 alternatives used in the question. Based on the processing of the collected data using the hierarchical analysis of the process, the best disassembly method was obtained, respectively, the manual method with the machine (0.3435). mechanical (0.2397), manual (0.2117) and explosive (0.2052).
Study of Progress Difference on Building Construction Works Mardiaman Mardiaman; Daud Surbakti
Eduvest - Journal of Universal Studies Vol. 2 No. 10 (2022): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1414.529 KB) | DOI: 10.59188/eduvest.v2i10.591

Abstract

The progress of construction work has different deviations at a certain point in time. Various factors cause inequality. A positive progress deviation indicates that construction work is completed faster where the progress of the plan is lower than the actual one, otherwise it is said to be late if it is negative. The uncertain nature of construction work causes there are 3 (three) scenarios of possible progress deviation values, so that these three values ​​form one expected progress deviation value. A deviation of value greater than negative 10% for a duration from 0 to 70% is categorized as a critical contract. The purpose of this study was to determine the deviation of the progress of 29 construction works. Data collection was carried out on 29 construction works that had been carried out. The data is taken directly from the contractor. The results of data analysis showed that at 10% D, 11 construction works with poor performance were obtained. Information was also obtained that the construction work No. 12 have critical contracts (-11,773). Furthermore for the current construction work 30%D. 50% D and 70% D number of poorly performing construction works 12; 10; and 9. The value of the largest positive progress deviation is 15,362 at the 70% time point D. The expected value of the largest positive progress deviation is positive 1.763. By knowing the expected negative progress value, the contractor must exercise control as soon as possible before the contract expires. Acceleration can be done on activities that are on the critical path