The existence of Indonesian traditional market in the post reform order has a lesson learn of survival community. Traditional market represents a micro-economy, which contribute the national economy stability during the crisis. Most of traditional market in Java island is influenced by ancient Mataram Kingdom as figure out on the relief of Borobudur Temple. Mechanism of transaction in traditional market, such as bargaining process and selling culture has a distinctive local wisdom of Indonesia. The revitalisation of public market in Indonesia has a mediocre performance in general. Most of revitalisation projects among traditional market did not given a strategic bargaining position of previous market vendors to involve for market development process. This research focuses on modelling the revitalisation of traditional market in Indonesian context. A case study in five metropolitan cities was adopted. The findings underline that the pattern of Indonesian Traditional market in each metropolitan city on Java Island revealed that transportation access, distinctive local food and sociology aspect influencing the revitalisation process. This research suggests the model of Indonesian traditional market revitalisation to encourage the local authorities in sustainable community. The proposed model has a strategic issue, in terms of public building policy and capacity building of local authority.

(2.20. 17.05, 11.24); steel profiles (2.12, 15.10, 9.75), formwork (1.79, 16.04, 10.45), precast concrete (1.76, 15.61, 10.24 (2,20; 17,05; 11,24); baja profil (2,12 ;15,10; 9,75), bekisting (1,79 ; 16,04; 10,45), beton precast (1,76; 15,61; 10,24). Hasil analisis sensitivitas menunjukkan risiko keterlambatan akibat 'pemesanan tambahan material karena perubahan desain yang mendadak oleh owner' menduduki peringkat tertinggi sebagai risiko paling dominan untuk material baja tulangan, baja profil dan bekisting dengan besar pengaruh sebesar 25,5%, 37,4%, dan 17%. Hasil penelitian ini bermanfaat bagi

Research and development of Indonesian Seismic Hazard Maps in 2017 (IHSM-2017) have a direct impact on the development of seismic resistance code for building design in Indonesia. The development of new Indonesian seismic code for building and non-building design is still on-going, following the development of ASCE/SEI 7-16. This paper describes the development of design acceleration response spectrum (DARS) for building design. DARS-2019 is developed following the same method describes in the Indonesian seismic code [9] and ASCE/ SEI 7-16. The study for developing DARS-2019 was performed at 35 cities in Central Java and Yogyakarta Provinces, Indonesia. A comparative study with 2012 seismic code (DARS-2012) was also performed in this study to evaluate the improvement of the DARS at those 35 cities. The analysis was performed for three different site soil classes (hard soil/SC, medium soil/SD and soft soil/SE). The purpose of this study is to evaluate the direct impact of the new ISHM-2017 on DARS-2019. Based on the analysis conducted at 35 cities, the improvement of DARS-2019 compared to DARS-2012 for site classes SC, SD and SE are less than 0.1 g except for site class SC at five cities located close to Opak fault trace.

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Site soil classification provides vital information for predicting the soil amplification or the site factor. The site factor is important for calculating the surface spectral acceleration in the seismic design of buildings. Based on the Indonesian seismic code, site soil classification can be conducted by calculating the average standard penetration (N-SPT) resistance, the average shear wave velocity (VS) and the average undrained soil strength (Su) of the upper 30 m of a subsoil layer. Different results may be obtained at the same location when the site soil classification is predicted using N-SPT than when using VS data. The restriction of N-SPT values until a maximum of 60 compared to a VS maximum of 750 m/sec can produce different soil classes and will directly impact the calculation of the surface spectral acceleration. This paper describes the different results of site soil classification prediction calculated using the average N-SPT and the average VS, conducted at Semarang City, Indonesia. Site soil classification maps developed based on both datasets are also presented, to evaluate the different site soil classification distributions. Only soil classes SD and SE were observed using N-SPT maximum 60, whereas soil classes SC, SD and SE were observed using N-SPT maximum 120.