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The development of information technology continues to evolve to respond the increasing demand and challenges in the construction industry. Building Information Modelling (BIM) emerges in recent years as the fresh solution to make the project lifecycle more efficient by encouraging collaborative working of all stakeholders involved in the construction project, i.e. owners, consultants, and contractors. This study aims to investigate BIM adoption and implementation in Indonesia construction industry and explore challenges and opportunities related to the implementation of BIM. A combination of qualitative and quantitative research method has been adopted for this exploratory research. Data was collected through interviews and questionnaires survey with snowball sampling from twenty entities, consisting of 12 contractors, 4 consultants, and 4 owners. The results show that 60% of respondents have already acknowledged and implemented BIM. The examples of BIM software used by the respondents include Revit, Tekla, and SmartPlan®. Benefits of BIM implementation as perceived by most respondents, e.g. design collision detection, clear project simulation, reduced reworks, and efficient use of resources. The adoption of BIM, however, still faces challenges, such as the absence of requirement and demand, and high investment cost. This research provides an initial understanding of current BIM adoption in Indonesia, which can be used as the basis to develop a national strategic framework for BIM adoption in Indonesia construction industry.

Flexible pavement is a road pavement type which is commonly used, however rigid pavement is also widely used now days in Indonesia. It has even been used for local roads (managed by local authority), which take in heavy vehicle loads. This rigid pavement is used because it has longer service life and higher durability. The need for a durable road resulted in higher construction costs, whereas the budget for local road design and construction is often limited. This study aims to evaluate the agency costs that must be incurred for flexible and rigid pavement construction. Two alternatives of design life are simulated for each type of pavement, namely design lives of 10+10 year and 20 year for flexible pavement and design lives of 20+20 year and 40 year for rigid pavement. The agency costs of those alternatives are analysed using Life Cycle Cost Analysis (LCCA) program-RealCost 2.5. The results show agency costs for alternative flexible pavement 1 (design life of 10y + 10y) and alternative 2 (design life of 20 y) are $ 1,421,930 and $ 1,061,680 respectively. Furthermore for the rigid pavement, the agency cost for alternative 1 (design life 20y + 20 y) and alternative 2 (design life 40 y) is $. 443,990 and $. 350,870 respectively.

Construction waste is being produced by the infrastructure project. Thus, waste minimization is an important area to implementation of the construction waste management in Indonesia. This paper aims to build model of construction waste management and to determine the significantly of factors that can improved construction waste management for Indonesian infrastructure projects. This study identified 20 factors to improve the construction waste management that grouped into 5 groups, they are policy, asset, technology, human resources and knowledge. Methods of research carried out by site observation and discussion with contractors using questionnaire instrument and focusing to contractors engaged in various type infrastructure projects in Indonesia with amount of 383 respondents. The 5 groups of factors were developed into AMOS-SEM model to determine significant level in contributing to construction waste management. Data was analyzed uses the Structural Equation Modeling (SEM) techniques with the aid of Analysis of Moment Structures (AMOS) statistical package to overcome these factors, where a family of statistical models that seek to explain the relationships of covariant among multiple variables were formulated by combining a measurement model with structural model into a statistical test. The model will be recommandation to improve construction waste management for Indonesian infrastructure projects future.