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. ... 

selanjutnya

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. ... 

selanjutnya

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. ... 

selanjutnya

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. ... 

selanjutnya

UGM Actuarial Science Students Prove Their Quality Through Success in the Actuarial Business Case Competition

Actuarial Science students from the Department of Mathematics, Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Gadjah Mada (UGM) have once again proven their excellence at the national level. The Begawan Actuaria team, consisting of Mohammad Firdaus, Fitriana Arlyn Rahayu, and Cherlyn, earned First Place in the Actuarial Business Case Competition (ABCC), part of the Jelajah Aktuaria (JEJAK) event organized by Institut Teknologi Sepuluh Nopember (ITS). ... 

selanjutnya

UGM Students Win Third Place in Poisson Statistics Olympiad STIS 2024

A team of students from the Department of Mathematics, Faculty of MIPA, Universitas Gadjah Mada, consisting of Gian Luky Saputra (Statistics, 2021) and Daud Muhamad Azhari (Statistics, 2021), succeeded in securing third place in the Statistics Olympiad (SO). This event is part of the 2024 Poisson Statistic Competition organized by Politeknik Statistika STIS, under the theme “Data-Driven Development: Unleashing the Power of Official Statistics for Sustainable Futures.” ... 

selanjutnya

UGM Statistics Student Integrates SDG Solutions to Win National Infographic Competition

Commitment to the Sustainable Development Goals (SDGs) was the key to success for Fabima Fadhlin Minallah Zidta, a Statistics student at FMIPA UGM, in winning the 2024 SPSS (Statistical Project for Smart Student) Infographic competition held by HIMSTAT Binus. Through her work titled “RE-CONNECT: Technological Solutions for Accelerating Indonesia’s Energy Transition to Net Zero Emissions,” Fabima presents an innovative solution supporting various SDG targets, especially SDG 7 (Affordable and Clean Energy), SDG 13 (Climate Action), SDG 11 (Sustainable Cities and Communities), and SDG 9 (Industry, Innovation, and Infrastructure). ... 

selanjutnya

Enhancing Carbon Monitoring with Big Data: Forest Fire Detection Analysis by UGM Statistics Students

A team of students from the Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, consisting of Gian Luky Saputra (Statistics, 2021) and Daud Muhamad Azhari (Statistics, 2021), successfully secured third place in the Big Data Competition (BDC), part of the Statistics Explore Universitas Syiah Kuala (USK) 2024 series, which carried the theme “Climate Action through Data: Using Big Data to Track and Reduce Carbon Emissions.” ... 

selanjutnya

Elevating Spatial Analysis for the Future of Nusantara Capital: A Work Toward Sustainable Economic Transformation

A team of students from the Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, consisting of Gian Luky Saputra (Statistics, 2021) and Daud Muhamad Azhari (Statistics, 2021), presented an exceptional data analysis project that not only earned them first place in the National Data Analytics Competition (NDAC) at EPSILON UNP 2024 but also provided a meaningful contribution to the understanding of sustainable economics through spatial analysis. ... 

selanjutnya

Developing Innovation Through SkinCheck Application: An AI-Based Solution for Early Skin Cancer Detection

A team of students from the Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, consisting of Gian Luky Saputra (Statistics, 2021), Saprina Saputri (Statistics, 2021), and Rahma Nur Anisa (Statistics, 2022), presented an innovative project worthy of recognition at the 2024 Statistics Essay Competition (SEC). Rather than focusing solely on their achievement of winning third place in this prestigious competition, their project serves as a testament to their real contribution in addressing health challenges, particularly skin cancer, through an application called SkinCheck. ... 

selanjutnya