Students from the Statistics Study Program at the Faculty of Mathematics and Natural Sciences (FMIPA) of Gadjah Mada University (UGM) have once again achieved remarkable success on the international stage. Two students, Mahardi Nalendra Syafa and Daffa Elgo Santosa, successfully obtained the title of Master of Data Analysis II in the International Data Analysis Competition (DAC), part of the 2024 Statistics Fair. This competition was organized by the Department of Statistics, Faculty of Mathematics and Natural Sciences, Sepuluh Nopember Institute of Technology (ITS) in Surabaya.
The “Lumineux” team, consisting of Mahardi and Daffa, secured second place after competing against 135 teams from various countries. This achievement further solidifies UGM’s reputation as one of the leading educational institutions in the field of statistics and data analysis.
Mahardi and Daffa utilized their knowledge in traditional statistics and machine learning to formulate innovative solutions that were appreciated by the judging panel, comprised of prominent professors in the field of statistics. The DAC competition attracted participants from various universities in Indonesia and abroad, including the National University of Singapore and universities in Cambodia.
The title of “Master of Data Analysis II” awarded to the Lumineux team is a testament to Mahardi and Daffa’s competence in leveraging data to address issues relevant to the energy industry. Their research theme in the preliminary round, “Optimized Irregular Autoregressive and Ensemble Learning Approach for Solar Photovoltaic Power Efficiency Prediction,” is highly relevant to the challenges of sustainable energy, supporting SDG 7, which aims to ensure access to affordable, reliable, sustainable, and modern energy for all.
The competition began with a preliminary round, where the Lumineux team broke into the top 10 with their analysis predicting solar panel efficiency that yielded the smallest error. In the semifinal round, they faced a data analysis challenge using original measurement data related to the performance of power plants on the island of Java, which had to be completed within four hours. By combining machine learning and panel data analysis, they successfully reached the final round, where their analysis received high praise from the judging panel.
The achievements of Mahardi and Daffa in this competition are expected to motivate other students to continue competing and developing their skills in data analysis. The title of Master of Data Analysis II they earned not only brings pride to UGM but also demonstrates that Indonesian students have great potential to contribute to solving global problems through data. This success proves that the collaboration between statistical science and modern technologies, such as machine learning, can be an innovative solution to industrial challenges and pave the way for more students to achieve similar accomplishments.
Keywords: Data Analysis, Statistics, Student Achievement
Author: Daffa Elgo
Editor: Endang Sulastri
Photo: Daffa Elgo