Indonesia is a country with large and dynamic economic activities reflected by an average economic growth reaching 6% per annum. Sunda Street Bridge (SSB) is one of the mega projects offered by the Indonesia government that would spend about US$ 25 billion. In line with the SSB main function as an efficient mean for transporting people and goods between two major islands in Indonesia, potential additional functions have been explored including installation of liquid and gas pipes, fiber optics, industrial area development and renewable energy utilization. This research establishes the approach to forecast demand in the case of conceptual design. The SSB is associated with innovations to determine the functions using value engineering methods. The approach involves forecasting demand with a System Dynamics simulation model that could provide a reliable estimate and generate scenarios to compare the financial feasibility of the project before and after the process involving innovation of project functions. Analysis involving demand forecasting with the System Dynamics Approach has confirmed that the Sunda Strait Bridge development with additional functions would increase the revenues of the overall project up to US$61.59 Million, in order to obtain an increased Internal Rate of Return (IRR) of the overall project up to 7.56% with a positive Net Present Value (NPV).
The development of a country is directly proportioned to its growing infrastructure needs. One of the most needed infrastructure in Indonesia is medical facility. The construction of public hospital especially in its tendering phase needs to refer to the stated presidential decree that includes a specific rule and policy. The tender process needs to be done carefully to ensure the most beneficial offer is selected. This research will utilize e-tendering method to select the right construction partner. The criteria for the tender requirement will be chosen with the Analytical Hierarchy Process (AHP) which finally would be evaluated to determine the tender winner. AHP should help to elaborate the problem into multiple complex criteria, forming a hierarchy. The AHP implementation requires primary data from questionnaire and secondary data from existing research and policies. AHP calculation process is then used to process the data in the form of scores from the distributed questionnaire. The result of the AHP calculation was used to evaluate each offer from the goods and services providers, while finally done using the method of knockout by passing grade. The dominant factors that influenced the final decision making includes financial power (30.79%), Materials and equipments (8.55%), health and safety (4.59%), technical competence (8.91%), and experience (2.9%). AHP was proven to be very effective when utilized to evaluate e-tendering offer documents
This study discusses the factors influencing BIM 4D and M-PERT implementation on highrise residential building structures using RII (Important Relative Index) analysis. The research was conducted using a quantitative descriptive method by distributing questionnaires to practitioners related to the work of high-rise residential structures. The study found that ten factors had the most influence on implementing BIM 4D and M-PERT on high-rise residential structures, namely other detailed drawings, project schedule, percentage of delays. , activity modeling, project activity integration, network similarity, building design planning, scheduling integration, visualization, increase productivityKata kunci: M-PERT, BIM 4D, Penjadwalan, Proyek konstruksi
Penelitian ini membahas mengenai faktor -faktor yang berpengaruh dalam mengimplementasikan BIM 4D dan M-PERT pada pekerjaan struktur bangunan hunian tingkat tinggi dengan menggunakan Analisa RII (Relative Important Index).Penelitian dilakukan dengan metode deskriptif kuantitatif dengan menyebar kuisoner ke praktisi yang berkaitan dengan pekerjaan struktur hunian bertingkat tinggi, hasil penelitian didapatkan bahwa ada 10 faktor paling berpengaruh terhadap implementasi BIM 4D dan M-PERT pada pekerjaan struktur hunian bertingkat tinggi, yaitu antara lain detail gambar, schedule proyek, presentase keterlambatan, pemodelan aktivitas, penggabungan kegiatan proyek, kemiripan jaringan, perencanaan desain bangunan, integrasi penjadwalan, visualisasi, dan meningkatkan produktivitas
Waste or additional costs in infrastructure projects such as jetty projects are often caused by rework. Besides having an impact on costs, rework is also a very significant contributor to waste or add time which causes delays in the completion schedule of the project. A lot of research on rework has been carried out on both building and road construction projects, but there is no jetty construction project. This study aims to develop improvement scenarios to minimize the emergence of rework on pier infrastructure projects by modeling and simulating cost performance. The research variables were obtained based on the results of a literature study by asking for opinions from experts who are compatible in their scope. The initial model used the causal loop diagram form which was later developed into a Stock Flow Diagram, after which a repair simulation was carried out using the system dynamics method to determine the effect on cost performance. From the research results obtained 14 factors that affect the cost and time performance on the jetty project, the implementation of system dynamics can provide the optimum solution with the ability to reduce the percentage of the number of reworks by 24.12% for 12 months.
Sunda Strait Bridge (SSB) is a mega-infrastructure project offered by the Indonesian government, expected to contribute to national economic growth by bridging economic connectivity between two major islands in Indonesia. At first, SSB construction was offered as a US$10 billion project in 2010. Then in 2011 it was revised into a US$25 billion project with additional scope of work, i.e., industrial area development along the site. Yet it was still unattractive to private investors due to a lack of technical and financial feasibility. Thus, the Value Engineering (VE) approach was used to increase and improve the project’s feasibility by generating innovative ideas. Innovation through additional functions for SSB development is comprised of: 1) development of renewable energy-based power plant by using tidal and wind power; 2) integration of oil and gas pipelines; (3) fiber-optic pipelines; 4) tourism development in Sangiang Island accessed by either road bridge or hanging train; and 5) development of industrial area. The life-cycle cost analysis by IRR and NPV approaches confirmed that SSB development with additional functions increased the internal rate of return of the overall project up to 7.26% and had a positive NPV.
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