Identifying Dengue Risk Areas Just Got Easier Thanks to AERIS, Developed by ITS Students

Five sub-districts in Surabaya-Tambaksari, Rungkut, Tandes, Sawahan, and Semampir-are predicted to become high-risk zones for dengue hemorrhagic fever (DHF) in 2026. This prediction comes from the Aedes Aegypti Environmental Risk System (AERIS), a WebGIS and machine learning-based innovation developed by students from the ITS Geomatics Engineering Department. Team leader Rifqi Pangestu Wiguna explained that the system processes DHF case data from 2019–2024, along with variables like rainfall, population density, and puddle distribution, to shift the approach from reactive to preventive. AERIS uses four machine learning modeling methods and successfully identified 9 out of 10 sub-districts with the highest case numbers in March 2025. Dengue risk is concentrated in densely populated areas where standing water is a major factor, so managing puddles and eliminating mosquito breeding sites remains relevant. The system also features an interactive map at aeris.geowebgis.id to support data-driven decision-making, in line with sustainable development goals in health and settlements. https://kabarbaik.co/identifikasi-wilayah-berisiko-dbd-kini-lebih-mudah-berkat-aeris-hasil-pengembangan-mahasiswa-its/