On Sunday, November 3, 2024, the Pogung Kidul Multipurpose Building became the center of spirited sporting activities as the Mini Tournament 2024 took place. This badminton tournament, involving students and alumni of the UGM Graduate School of Mathematics from the 2021-2024 cohort, aimed to uncover talent, strengthen relationships, and provide refreshing entertainment for the participants. ...
Category: Berita Departemen
Community Service by the Mathematics Department: Refreshing Teaching Materials for MGMP Teachers in Brebes Regency
On October 9, 2024, the Mathematics Department of FMIPA UGM held a community service activity titled “Refreshing Some Teaching Materials in High Schools,” which took place at SMA Negeri 1 Jatibarang, Brebes Regency, Central Java. The event was attended by teachers who are members of the Mathematics Subject Teacher Consultation (MGMP) and students from the 3rd grade of SMA Negeri 1 Jatibarang. This PKM activity is a continuation of the PKM conducted in 2022 and 2023. ...
Thesis and Scientific Article Writing Workshop: Enhancing the Competencies of FMIPA UGM Mathematics Master’s Students
The Master’s Program in Mathematics at FMIPA Universitas Gadjah Mada (UGM) held a Thesis and Scientific Article Writing Workshop on Saturday, October 26, 2024, in Meeting Room 1 of the Department of Mathematics, FMIPA UGM. This workshop was attended by students from the Mathematics Master’s Program, Academic Year 2023/2024. The event aimed to enhance students’ competencies in producing high-quality theses and scientific articles, serving as a key part of their preparation for thesis writing and scientific publication. ...
UGM Exotic Team Wins 2nd Place at the 2024 National Statistics Olympiad
Two students from the Statistics Study Program, Faculty of Mathematics and Natural Sciences (FMIPA) Universitas Gadjah Mada (UGM), Rahma Nur Annisa and Daffa Elgo Santosa, have once again brought honor to their campus by securing second place in the “Dokter Data” National Statistics Olympiad. This competition was organized by the Statistics Study Program of the Faculty of Mathematics and Natural Sciences (FMIPA) at Universitas Diponegoro (UNDIP) and was participated in by statistics students from various universities across Indonesia. ...
Application of Air Quality Forecasting and Classification Analysis: A Project to Enhance Air Pollution Mitigation
A team of students from the Department of Mathematics, Faculty of Science and Technology, Gadjah Mada University, consisting of Dimaz Andhika Putra (Statistics, 2022) and Rahma Nur Annisa (Statistics, 2022), successfully secured second place in the Data Mining Competition, part of the Academic Competition of Data Science series with the theme “Data Science for Environment and Sustainability.” This competition encourages participants to innovate using data science for environmental sustainability. On this occasion, Dimaz and Rahma presented their analysis on air quality for air pollution mitigation based on machine learning, an important solution amidst the serious threat of air pollution to global health. ...
Application of Cluster Analysis and Spatial Weighted Regression for Optimizing the Role of Gen Z in Poverty Alleviation
AksiGenZ is a web-based platform developed by Natassya Marchelina Cahya Setyaji and Dimaz Andhika Putra, 2022 Statistics students from Gadjah Mada University. Using the Fuzzy Geographically Weighted Clustering and Geographically Weighted Regression (GWR) methods, this platform aims to optimize the role of Gen Z in the efforts to eradicate poverty in Indonesia. AksiGenZ maps poverty data segmented by province through cluster analysis and identifies significant factors at the district level that influence poverty conditions through spatially weighted regression. AksiGenZ presents data-driven solutions to tackle poverty, one of the complex social issues in Indonesia. Through cluster analysis, this platform divides provinces based on poverty levels. Next, spatially weighted regression analysis for each cluster helps identify the factors causing poverty at the district level, allowing for more specific and focused solutions to be developed. ...
CornCareX: AI-Based Application Innovation for Detecting Diseases in Corn Leaves
CornCareX is an innovative computer vision application that leverages Convolutional Neural Network (CNN) technology to detect diseases in corn leaves. Developed by two students from the Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, this application is designed to help farmers monitor the health of corn crops quickly and accurately. The technology enables early disease identification, allowing farmers to take preventive or corrective actions before the disease spreads and reduces crop yields. ...
The Glorious Victory: Lumineux UGM Team Wins “Master of Data Analysis” Title II” in International Competition
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. ...
Team “Sudah Saatnya” Wins 2nd Place in the Data Analysis Competition at IFest 2024 with Applied Data Analysis Project
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. ...
UGM Statistics Students Offer Traffic Solutions Using Monte Carlo Simulation
The innovative project “Optimizing Traffic Light Wait Times with Monte Carlo Simulation,” developed by three Statistics students from the Faculty of Mathematics and Natural Sciences (FMIPA) at Universitas Gadjah Mada (UGM), demonstrates how statistical methods can be applied to solve real-world urban traffic issues. This project won First Place at the National Statistics Olympiad Smatic 5.0, hosted by Universitas Negeri Jakarta on August 10, 2024, and gained recognition as a data-driven, measurable solution to reduce traffic congestion in major cities. ...