At the Informatics Festival (IFest) 2024, organized by Universitas Padjadjaran, the team “Sudah Saatnya” from the Statistics Study Program at UGM achieved 2nd place in the Data Analysis Competition. Comprising three students from the 2022 cohort—Erlin Shofiana, Aulia Mirfah, and Fitri Hartanti—this team utilized the competition’s theme, “Digital Horizon: Exploring Career Paths in Technology,” to present innovative data analysis that offers solutions to real issues in sanitation and the impact of AI.
During the preliminary round held from September 8 to 20, 2024, the team prepared a paper titled “Strategies for Improving Access to Sanitation and Safe Drinking Water in Indonesia for Achieving SDG 6.” By employing the Convolutional Neural Network (CNN) method, their research projected access to safe drinking water in Indonesia from 2000 to 2022 and found that the target of 45% access to safe drinking water by 2030 is still challenging to achieve. The team also applied the Gaussian Mixture Model (GMM) method to cluster three regions in Indonesia based on varying conditions of potable water, while additional analysis using Geographically Weighted Panel Regression (GWPR) revealed regional factors influencing access to sanitation and drinking water across different areas. This research provides insights that can serve as a policy foundation to improve sanitation quality and access to drinking water in Indonesia, aligning with Sustainable Development Goal (SDG) 6 on clean water and sanitation.
In the final round held on October 4, 2024, the team presented their project titled “AI Impact Classification in Southeast Asian Countries: A Machine Learning Approach.” In this research, they mapped jobs in Southeast Asia based on the level of impact caused by AI, classifying them into low, medium, and high-risk categories. This study used a machine learning approach to identify sectors at high risk of automation, helping governments and industries prepare policies to address technological disruptions in the labor market. This project is also relevant to SDG 8, which emphasizes the importance of decent work and economic growth, particularly in the context of rapid technological development.
The team “It’s Time” demonstrated that collaboration, perseverance, and adaptability are key to creating impactful and beneficial work. Winning 2nd place at IFest 2024 not only marks an achievement for UGM but also serves as motivation to continue innovating in the field of data science. Their research outcomes are expected to provide practical benefits for society, particularly in understanding access to safe drinking water and the impact of AI on jobs in Southeast Asia. It is hoped that this team’s work will inspire more students to contribute meaningfully to society and address global challenges in the future.
Keywords: Applied Data Analysis, Statistics, Student Achievement
Author: Fitri Hartanti
Editor: Endang Sulastri
Photo: Fitri Hartanti