Team EAST Excels Again! Presents WebGIS-Based Dengue Risk Prediction Innovation
By Mely Anggrini - Mahasiswa Meteorologi, 2022
Editor M. Naufal Hafizh, S.S.
BANDUNG, itb.ac.id – Team EAST from Institut Teknologi Bandung (ITB) has once again achieved a notable accomplishment in a national academic competition. At the Smart Innovation in Geospatial Mapping and Application (SIGMA) 2025 event, the team - comprised of Mentari Khoerunnisa Azzahra, Aldi Firdiansyah, and Fadila As-syifa Febriana - won 3rd place. The competition was organized by the Society of Exploration Geophysicists, Universitas Padjadjaran Student Chapter Indonesia, and brought together participants from various universities across Indonesia.
SIGMA 2025 is a competition focused on the use of remote sensing to support the achievement of the Sustainable Development Goals (SDGs) in the 4.0 digital era. Team EAST’s journey in SIGMA 2025 was not without challenges. The competition process began with abstract submission, continued with the full paper stage, and then concluded with a final presentation of their innovation before the jury on February 22, 2025.
Besides facing tough competition, Team EAST also had to balance their time with other academic responsibilities. “We had to manage our time wisely between working on our undergraduate thesis and preparing for the competition. It was difficult at first, but with consistent discussions and clear task distribution, everything became manageable,” said Mentari.
In this competition, Team EAST presented their research titled “Utilization of Machine Learning in the Development of a WebGIS-Based DB Susceptibility Index for Dengue Fever Risk Prediction in Indonesia in 2030.”
This innovation aims to develop a WebGIS-based DB Susceptibility Index (DBSI) to predict the risk of Dengue Fever (DHF) in Indonesia by 2030. The model integrates remote sensing data with the Principal Component Analysis (PCA) method to identify factors contributing to dengue susceptibility.
“The DBSI model represents the role of climate, environmental, and topographical factors in determining the level of DHF vulnerability. Furthermore, integrating remote sensing data with PCA and machine learning methods enhances the accuracy of DHF risk modeling in Indonesia,” Mentari explained.
Team EAST’s success in SIGMA 2025 was closely tied to the strategies they implemented. According to Mentari, their main strategies included reading numerous scientific journals to deepen their knowledge, holding regular brainstorming sessions, and practicing presentations to answer the judges' questions with confidence.
“We also frequently exchanged ideas to ensure that our concepts were solid and innovative. And of course, prayer and teamwork were key factors in our success,” she added.
As a final note, Team EAST members shared inspiring messages for fellow students interested in similar competitions.
“Joining a competition like this is a great platform to apply and deepen your understanding while gaining valuable experience - so don’t hesitate to participate,” said Aldi.
Fadila added, “Don’t be afraid to try new things and seize available opportunities. Explore your interests and combine them with the knowledge you're currently learning.”
With their innovation, Team EAST from Geodesy and Geomatics Engineering at ITB hopes their research can contribute to the development of early warning systems for dengue and support data-driven mitigation policies in achieving the 2030 dengue elimination target.
Translator: Nafi'ah Rahni Nugrahanti (Civil Engineering Student, 2023).
