Information Systems Study Program, Department of Mathematics

Faculty of Mathematics and Natural Science, Hasanuddin University

About DSAI-RG

Welcome to the Data Science and Artificial Intelligence (DSAI) Research Group!

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Our mission is to leverage Data Science and AI to solve global challenges and improve lives. We develop impactful solutions across education, agriculture, biodiversity conservation, and healthcare. In addressing critical issues such as climate change and health crises, we transform data into sustainable innovations that help build a smarter, more resilient future. Join us in advancing the frontiers of Data Science and AI.

RESEARCH SUB-THEMES

  1. Medical and Healthcare: AI-powered smart medical devices provide real-time monitoring and support for paramedics in remote areas.
  2. Agriculture: AI and IoT enable smart farming through real-time monitoring and predictive analytics to improve yields and reduce losses.
  3. Finance: AI systems analyze market data in real time to detect inflation risks and support better financial decision-making.

OUR AIM

1. Innovation in Computational Models

To produce several new computational models in a given timeframe that can be tested in various sectors.

2. Technology Implementation

To implement DSAI solutions in several strategic sectors, with measurable impact evaluations conducted within a certain period of time.

3. Training Program

Conduct training programs for stakeholders, targeting participants who are trained in utilizing DSAI.

4. Innovation Enhancement

Identify and test new technologies or methodologies that can improve the effectiveness of DSAI.

5. Enhanced Collaboration

To build partnerships with other disciplines or institutions to create interdisciplinary research approaches.

6. Policy Development

To generate some data-driven policy recommendations that can be adopted by government or non-government organizations.

7. Solutions to Real World Problems

Complete research that generates solutions to real-world challenges faced by society.

8. Application of Ethical Principles

Develop ethical guidelines for DSAI research and applications, and regular evaluations to ensure their application in every project undertaken.

OUR MISSION

Education and Training

Provide training and education programs for stakeholders in various sectors to improve their understanding and skills in utilizing DSAI

Problem-Based Research

Conduct research that focuses on real-world challenges faced by society, with the aim of generating practical solutions that can be implemented

Sustainable Innovation

Encourage continuous innovation in the use of DSAI by exploring the latest technologies and research methodologies to address emerging issues

Ethics and Social Responsibility

Uphold ethical principles in the research and application of DSAI by ensuring transparency, fairness, and responsible use for the benefit of society.

Research Project

Smarter Credit Decisions with AI: Boosting Accuracy in Credit Scoring Systems

MAKASSAR, Indonesia – Apr 1 2026/DSAI/ β€” In today’s financial world, making the right lending decision is critical. Banks and financial institutions must carefully assess whether a borrower is likely...

REST vs GraphQL: Which API Truly Performs Better in Real-World Systems?

MAKASSAR, Indonesia – Apr 1 2026/DSAI/ β€” In today’s data-driven world, modern applications rely heavily on Application Programming Interfaces (APIs) to connect systems, deliver data, and power digital...

Smarter Markets with AI: How LSTM and GRU Redefine Stock Price Prediction

MAKASSAR, Indonesia – Apr 1 2026/DSAI/ β€” Predicting stock prices has always been a complex and risky task, influenced by countless variables and rapid market changes. However, a recent study...

Activities

Fostering Cross-National Research Collaboration: Strategic Pathways to Academic Engagement with Japan

On April 4, 2026, a thoughtful and forward-looking academic discussion unfolded in the WR1 Room on the 7th floor of the Rectorate Building at Universitas Hasanuddin. The activity involved 7...

Bridging Data Science and Coastal Research: Exploring AI-Driven Seaweed Biomass Estimation through Multimodal Data Fusion

On April 4, 2026, a collaborative research discussion took place at the Coastal Marine Geospatial Laboratory, 5th Floor, LPPM Building. The activity involved 9 participants, bringing together experts...

Advancing AI-Driven Environmental Monitoring through Vision Transformer and International Collaboration

To strengthen interdisciplinary research capacity in artificial intelligence and environmental monitoring, a series of academic discussions and collaborative engagements were conducted focusing on the...