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A Green Infrastructure SDGS Num 11: Approach Planning Design Model Reliability of Permeability and Concrete Quality Rural Roads P3MD Program in Wonogiri

Design planning permeability and quality of rural concrete road construction work in the Program Pembangunan dan Pemberdayaan Masyarakat Desa (P3MD) of the Ministry of Villages, Development of Disadvantaged Regions and Transmigration in Wonogiri, which is environmentally friendly in accordance with...

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Bibliographic Details
Published in:E3S web of conferences 2024-01, Vol.500, p.3042
Main Authors: Ristanto, Iwan, Widodo, Slamet, Nayono, Satoto Endar
Format: Article
Language:English
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Summary:Design planning permeability and quality of rural concrete road construction work in the Program Pembangunan dan Pemberdayaan Masyarakat Desa (P3MD) of the Ministry of Villages, Development of Disadvantaged Regions and Transmigration in Wonogiri, which is environmentally friendly in accordance with the sustainable development goals of SDGs Number.11 Villages "Sustainable Cities and Community", is the urgency of global action to reduce the impact of climate change and overcome challenges in developing a village road infrastructure model that is sustainable and leads to Green Infrastructure. Testing the permeability of village road construction materials using a rational classification method based on the Unified Soil Classification System, ASTM and International Nomenclature Darcy ’ s Law by calculating the input discharge of rainwater seeping into the soil through the pores of road construction using a rational method, testing the compressive strength of concrete roads using Rebound Hammer / Concrete Hammer Test method, SNI Standard 03-4430-1997. The results of the input volume of rainwater seeping into the ground through the pores (run off) of rural roads construction in Wonogiri one year is 724,866 m3. The average compressive strength of concrete roads from the hammer test results for concrete road test is 290 kg/cm 2 > K-225 kg/cm 2 , than the desired construction, namely; standard deviation; (S=1.75), coefficient of variation (Kv= 7.35%), indicating that the data taken has a sufficient level of accuracy, while the uniform data is quite representative of the road section studied.
ISSN:2267-1242
2267-1242
DOI:10.1051/e3sconf/202450003042