The use of data-driven technologies and artificial intelligence is playing an increasingly vital role in supporting various strategic sectors. At IPB University, research in the fields of data science, mathematics, and informatics is being developed to address real-world needs, ranging from animal health monitoring to forest fire mitigation.
Through the School of Data Science, Mathematics, and Informatics at IPB University (SSMI), researchers are developing various data analysis models, mathematical modeling, and computational systems to support the agriculture, livestock, health, and agro-industry sectors.
One example of the research being developed is the use of machine learning to monitor animal health through the analysis of movement patterns and behavior. This technology enables early detection of animal health conditions, thereby helping to manage livestock health more effectively.
Additionally, SSMI is also involved in developing a forest monitoring system in collaboration with the Ministry of Forestry and the private sector, which is used to support forest fire mitigation policies. Other research includes the development of a blockchain based system to support the halal certification system.
The Dean of SSMI at IPB University, Prof Agus Buono, explained that approximately 70 percent of the research at SSMI is directed toward supporting various strategic fields within IPB University, such as agriculture, animal science, health, and agroindustry.
“Our research focuses on advancing data processing, mathematical modeling, and the development of computational systems that can provide solutions for various sectors,” Prof Agus Buono said.
To support this academic development, SSMI continues to strengthen its learning ecosystem. Over the past two years, SSMI has established three new computer labs equipped with the latest technology to support students’ learning process.
“Students have really felt the benefits. The addition of these three new labs represents a significant improvement in the learning process,” said Prof Agus.
Academically, SSMI has updated its curriculum in line with IPB University’s policies through the K2025 curriculum, which is designed to enhance the relevance of graduates to the needs of the workforce. One key change is making Field Work Practice (PKL) mandatory for all degree programs.
In addition to academic achievements, SSMI students have also demonstrated impressive accomplishments. In 2025, SSMI students secured 14 international awards and approximately 115 national awards in various competitions in the fields of data, statistics, and computing.
Moving forward, SSMI aims to strengthen internationalization by launching international classes, developing double-degree programs, and increasing the number of graduate students.
“We want education, research, and collaboration at SSMI to become increasingly global so that our scientific contributions in the fields of data science, mathematics, and computer science can have a broader impact across various sectors,” he concluded. (IAAS/HLF)
