Septian Primade

Market Analyzer empowers decision-makers to evaluate locations faster, more accurately, and with greater confidence — using real-world accessibility, spatial intelligence, and AI-driven strategy.

Urban AI 3D is a location intelligence platform developed to simplify urban analysis into a single integrated workflow by combining Leaflet, OpenStreetMap, Cesium Ion, and OpenAI to produce actionable insights, live data extraction, and AI-generated reports.

Spatial econometrics analysis in the Java–Bali SPAM study demonstrates the ability to integrate spatial statistics, geospatial visualization, and regional performance modeling to identify disparities in PDAM services across districts and cities. Using Moran’s I and LISA cluster analysis, the study reveals significant spatial autocorrelation in strategic variables such as service coverage, NRW, fiscal capacity, operational efficiency, and water quality. Major urban areas including Jakarta, Surabaya, Bandung, and Denpasar form High–High (HH) clusters with strong performance, while eastern regions tend to form Low–Low (LL) clusters. The analysis supports evidence-based policy intervention, infrastructure prioritization, and sustainable regional water service planning.

My capability in spatial analysis extends from data integration, GIS modeling, and regional planning analysis to the development of final planning products such as the Detailed Spatial Plan (RDTR) for Depok City SPK 2. This project demonstrates the ability to process spatial and non-spatial datasets, conduct overlay analysis, land suitability assessment, infrastructure and accessibility evaluation, as well as development scenario simulations to identify strategic urban issues and growth patterns. The analytical results are translated into structure plans, zoning concepts, land-use regulations, and GIS-based planning outputs. The final product includes official RDTR zoning maps, planning regulations, technical documents, and decision support systems that support sustainable, integrated, and data-driven urban spatial planning.

The "Drone Mapping Rencana Area WTP SPAM Djuanda II" project demonstrates an integrated GIS and drone-based spatial mapping workflow for infrastructure planning and technical analysis. The process includes drone flight planning, aerial data acquisition, photogrammetry processing, orthomosaic generation, DEM creation, contour extraction, and integration with topographic datasets. Advanced spatial analysis is applied to evaluate terrain conditions, elevation, slope, drainage patterns, and infrastructure accessibility around the planned Water Treatment Plant (WTP) area. The final product combines high-resolution orthomosaic imagery, contour maps, and planning layouts into a comprehensive spatial dataset that supports engineering design, decision-making, feasibility studies, and sustainable SPAM infrastructure development.