The aging process of asphalt in the pavement layers of asphalt concrete road occurs when mixing in the Asphalt Mixing Plant and during the road service period. The asphalt aging process when mixing is called short-term aging and aging during the road service period is called long-term aging. AC - WC mixture is a wear layer and it is on the top layer of the surface which allows characteristics change that are influenced by several environmental factors (air, temperature and sunlight). This study aims to know the effect of asphalt aging on the characteristics of AC - WC mixture with Marshall method on some asphalt content that are 4.5%, 5.0%, 5.5%, 6.0%, 6, 5% and 7.0%. For testing on short-term aging (Short - Term Oven Aging, STOA) is by testing the mixture specimen AC - WC at 135o C before solidified for 4 hours and for long-term aging (Long - Term Oven Aging, LTOA) was carried out by testing the mixture specimen AC - WC at 85o C for 2 - 5 days. The results of this study found that asphalt aging had an effect on the characteristics of AC - WC mixture. Values of density, VFB, stability, flow tend to decrease with age. While VIM and VMA values tend to increase with age. Aging caused the mixture to became more rigid.
Tondo 1 permanent housing is intended for residents affected by the earthquake and tsunami on 28 September 2018. Furthermore, Tondo 1 permanent housing is now inhabited by people from various areas such as Petobo, Mamboro, Balaroa, Talise, and Tondo Villages. The rapid population growth in the tondo village after the relocation resulted in increased movements in the tondo village due to a large number of trips. This affects the trip generation of people who travel from their homes to the Central Business District (CBD) to carry out their daily activities. This study aims to determine the community's characteristics and model the trip generation in Tondo 1 permanent housing. This study used the multiple linear regression method. Based on the calculation, two variables affect the trip: the number of working family members (X2) and the number of vehicle ownership (X5). Therefore, the analysis model of the trip generation of survivors at Tondo 1 permanent housing area is obtained as follows: Y = 1.766 + 0.325 X2 + 0.271 X5.
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