Dwi Wahyu Hidayat
Politeknik Transportasi Darat Bali
Tri Hayatining Pamungkas
Universitas Ngurah Rai
Efendhi Prih Raharjo
Politeknik Transportasi Darat Bali
Hendrik Prasetiyo
Politeknik Transportasi Darat Bali
DOI: -
Keywords: Rainfall, Road damage, Drainage, Traffic volume, IDW
ABSTRACT
High rainfall is one of the contributing factors to road damage, especially in areas with suboptimal drainage systems. This study aims to analyze the effect of rainfall on road damage levels on Jalan Merpati, Tegal Kertha Village, West Denpasar Subdistrict. A descriptive quantitative approach was used, employing Inverse Distance Weighted (IDW) interpolation in ArcGIS to map rainfall distribution and linear regression analysis to examine the relationship between rainfall, drainage conditions, and traffic volume. The results indicate that the highest daily maximum rainfall occurred in January, reaching 95 mm, with a rainfall intensity of 172.63 mm/hour, categorized as very heavy rain. The regression analysis shows that rainfall alone has a low influence on road damage (R2 = 0.152), while simultaneously, rainfall, drainage conditions, and traffic volume have a strong and significant influence (R2 = 0.69). This study contributes to the development of spatial- based data that can serve as a foundation for road damage mitigation planning in response to environmental and traffic factors.
