Universitas Gadjah Mada Introduces Smart Laboratory Information System Based on Google Sites and AI
YOGYAKARTA – Universitas Gadjah Mada (UGM), through researcher Alifah Mubarokah, is developing an innovative Laboratory Information System (SIL) that leverages Google Sites and integrates artificial intelligence technology, specifically Search Vertex AI.
Universitas Gadjah Mada Develops Automated Oil Palm Tree Counting System Using Deep Learning
Development of an Automated Oil Palm Tree Counting System Based on Remote Sensing Using Deep Learning
Yogyakarta – A research team from Universitas Gadjah Mada (UGM), led by Andri Prima Nugroho, STP., M.Sc., Ph.D., IPU, ASEAN Eng., APEC Eng., from the Department of Agricultural Technology, has successfully developed an automated system for counting oil palm trees.
Universitas Gadjah Mada Leverages Big Data and AI for More Accurate Oil Palm Production Prediction
Utilizing Big Data in Oil Palm Plantations for Production Prediction Using Deep Neural Network Models
Yogyakarta – An innovative study led by Andri Prima Nugroho, STP., M.Sc., Ph.D., IPU, ASEAN Eng., APEC Eng., from the Department of Agricultural Technology at Universitas Gadjah Mada (UGM), has successfully utilized Big Data technology and Deep Neural Network (DNN) models to predict oil palm production.
Universitas Gadjah Mada Develops KESAN: AI for Agroindustrial Product Innovation Based on Consumer Preferences
Yogyakarta – A research team from Universitas Gadjah Mada (UGM), led by Mirwan Ushada, S.T.P., M.App.Life Sc., from the Department of Agricultural Technology, is developing the Kansei Engineering-based System for Agroindustry (KESAN).
Universitas Gadjah Mada Develops AI for Detection and Measurement of Bacterial Cellulose, Enhancing Bioproduct Production Efficiency
Implementation of Artificial Intelligence in Object Recognition Methods for Bacterial Cellulose During Fermentation
YOGYAKARTA – Darmawan Ari Nugroho, S.T.P., M.P., a researcher from the Faculty of Agricultural Technology at Universitas Gadjah Mada (UGM), is leading an innovative research project implementing artificial intelligence (AI) to monitor the fermentation process of bacterial cellulose (BC).
Universitas Gadjah Mada Innovation: Multimodal AI Detects Depression Through Facial Expressions and Intelligent Interviews
Large Language Models for Screening Depression Through Facial Emotion Recognition and Open-Ended PHQ Testing
YOGYAKARTA – A research team from Universitas Gadjah Mada (UGM), consisting of Samudera Fadlilla Jamaluddin, S.Psi., M.Sc., Riangga Novrianto, S.Psi., M.Psi., Psychologist, and Muhammad Oriza Nurfajri, S.Kom., M.IT., is developing a revolutionary framework for depression screening.
YOGYAKARTA – A research team from Universitas Gadjah Mada (UGM), consisting of Samudera Fadlilla Jamaluddin, Riangga Novrianto, and Muhammad Oriza Nurfajri, is developing an innovative framework for early depression detection.
Research Status: Completed
Researcher: Sunu Wibirama, S.T., M.Eng., IPM.
This research develops a three-dimensional eye-tracking system based on dual cameras to detect vertigo more accurately and practically.
Research Status: Completed
Researcher: Sunu Wibirama, S.T., M.Eng., IPM.
This research develops an intelligent contactless technology based on artificial intelligence and eye-tracking sensors to support public health education and COVID-19 prevention.
Yogyakarta – Ardan Wiratmoko, S.T.P., M.Sc., a researcher from the Faculty of Agricultural Technology at Universitas Gadjah Mada (UGM), is developing an advanced system to automatically classify the health of papaya trees (Carica papaya L.).
