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Mount Merapi is one of the active volcanoes in Indonesia that had varied eruption periods from two to eight years. Due to the density of the population living around the slopes of Mount Merapi, its eruptions caused high number of victims. In order to avoid high number of victims, the disaster management should be improved. Disaster management consist of four phases i.e. mitigation, preparedness, response and reconstruction. In disaster mitigation phase, prediction of the Merapi unrest probability is needed. This paper focus on how to predict the probability of Merapi unrest based on volcano-logical information by using Bayesian Event Tree. Bayesian Event Tree (BET) is a probabilistic model that merges all kinds of volcano-logical information to obtain probability of any relevant volcanic event. The result showed that the probability of Merapi unrest is 0,822. In the next eruption, it has predicted that the volcanic explosivity index (VEI) 2 was biggest chance with the probability of 0,549. It showed that the eruption will take place in the main crater of Merapi with the probability of 0,938.

Small and medium enterprises (SMEs) are widely recognised as the key engine of economic development. As a result of this recognition, a central issue dominating policy debates around the world and Indonesia in particular, has been how to stimulate economic growth through the deve-lopment of SMEs. During and beyond the financial crisis, the SMEs in Indonesia contributed to the employment growth and gave steady decline in poverty rate. Wood-furniture industry is one of two traditional labour-intensive industries in Indonesia which plays an important role in the economic development since the country is as one of the biggest furniture exporters in the world. However, the SMEs are facing difficulties in many areas, especially in spending their scarce resources efficiently. A case study to assess the efficiency of the wood-furniture SMEs has been conducted by applying the data envelopment analysis in Kangkung Village, Demak Regency, Indonesia. The results show that from ten assigned wood-furniture SMEs, there are six SMEs that are considered efficient, while the rest are regarded as inefficient. This research is expected to give some advantages to the SMEs regarding how to use their limited resources in an efficient way.

Although the humanitarian logistics coordination model in Indonesia is fairly effective, the role of each player remains unclear. For example, some of the activities that are sufficient to be done by one agency are in fact done by other institutions as well. This has resulted in inefficiency and ineffectiveness regarding on the handling of disaster relief goods. Therefore, it is essential to determine the role of each stakeholder involved in the management of natural disasters in order to improve the model. This study was conducted to provide the proposed model of humanitarian logistics coordination for developing the framework of coordination between stakeholders in the management of natural disasters, with the involvement of logistics players through the RASIC Chart method.

The construction industry plays a significant role in improving the quality of the built environment, but its activities also impact the wider environment. Supply chain management (SCM) aims to increase the efficiency of the construction process through improvements in the quality, cost, and time frame of projects. Green SCM has as its purpose reducing environmental impact by opting for eco-friendly materials starting from the design phase in the choice and procurement of materials to be used in construction projects. This study aims to adopt GSCM concepts of the manufacturing industry for application in the construction industry. A literature review was conducted to learn from previous research about the implementation of GSCM in manufacturing to serve as a basis for adopting of this concept for the purposes of building criteria for the implementation of GSCM in the construction industry.