Urban flooding is a common occurrence that affects numerous cities around the world. People frequently blame the disaster on global warming, which causes sea levels to increase. Floods often strike Samarinda, a town in East Kalimantan Province, Indonesia. We are also preparing this city as a buffer zone for Nusantara, Indonesia’s new capital. We can use a geographical information system with analytical capabilities as a monitoring technology to assess the risk level of flood-affected areas. This study aims to conduct spatial analysis utilizing weighting and overlay methods to create a flood risk rating map in Samarinda City’s Sungai Pinang district. We studied five urban flood variables using a weighted method, which generated flood categorization theme layers for each factor. Rainfall, land usage, soil type, slope, and land height are the five parameters studied, according to data from Samarinda City’s Meteorology, Climatology, and Geophysics Agency and Central Statistics Agency. After that, we performed an overlay analysis to classify floods into four categories: very vulnerable, vulnerable, moderately vulnerable, and safe locations. The study results classify 44.21% of Sungai Pinang District, Samarinda City’s total area as very vulnerable, 53.57% as vulnerable, 2.19% as somewhat vulnerable, and only 0.03% as safe. We tested the classification results with a kappa accuracy test of 90.31%, indicating a high confidence level that practically the entire region of this sub-district is flood-prone.