Depok, August 6, 2022. Advances in the Industrial Revolution 4.0 era have led to the digitalization of data in all fields, including healthcare. Data science, a combination of mathematics, computer science, and domain expertise, plays a crucial role in this. Data science is a multidisciplinary science with rapid development and application as a solution for fostering collaboration in science, industry, government, and other related fields.

Prof. Alhadi Bustamam, S. Si., M. Kom., Ph.D., in his research entitled “The Strategic Role of Computational Mathematics and Data Science in the Multidisciplinary Era of Bioinformatics, Big Data, and Artificial Intelligence,” examines the role of Computational Mathematics and Data Science in research across various fields. Computational mathematics is a branch of science that solves problems involving computational data management, processing, and analysis. Computational Mathematics is a key pillar of Data Science and its applications in the fields of Bioinformatics, Big Data, and Artificial Intelligence (AI).

Bioinformatics is an interdisciplinary field that focuses on the application of computational mathematics, statistics, and life sciences to manage and interpret biological data. Currently, bioinformatics is entering a new era of “big data,” generating large amounts of data in everyday life, such as in genomics research. Big data itself is a very large, complex, and constantly growing collection of data. Meanwhile, artificial intelligence (AI) is the ability of a system to correctly interpret external data, learn from it, and use it to achieve specific goals and tasks through flexible adaptation.

Prof. Alhadi applies and implements Data Science, Big Data, and AI in the fields of telemedicine healthcare and entrepreneurship. In the field of telemedicine, development is realized through the creation of applications to detect diseases through eye fundus images; malaria detection through red blood cell images; dengue detection through red blood cell images and laboratory data; Alzheimer’s and Parkinson’s disease detection through MRI images; and cancer detection through image data and gene expression data.

Furthermore, detection of heart disease through ECG signals; child stunting through ultrasound data; tuberculosis; and Type 2 Diabetes Drug Candidates through molecular compound data using the QSAR approach. This research was further developed through collaboration with UMG IdeaLab, IMERI FK UI, RSCM, RSUI, and UI Advisory.

In the field of entrepreneurship, the role of computational mathematics through Data Science and AI is applied in several studies, including the detection of rice and rubber plant diseases through leaf images; the development of insurance applications for underwriting checks in hospital administration; and the development of models for smart cities. Research on rubber plant disease detection through leaf images was conducted in collaboration with SATREP RIKEN Japan. The goal is to prevent rubber plants from being attacked by disease or even crop failure, with early detection through digital imagery obtained from satellites.

To detect diseases in rice plants, the research collaborated with BRIN LAPAN. Rice plant diseases such as tungro, which originate from viruses, fungi, and bacteria, can hamper rice production in Indonesia. Diseased rice plant leaves can be used as indicators of disease type because each disease has a unique pattern on the leaves. Disease detection in rice plants is carried out using rice leaf images.

Meanwhile, in the field of entrepreneurship related to insurance and chatbots, research is being conducted in collaboration with URIMO-Life. The insurance offered by URIMO-Life incorporates elements of bioinformatics, data science, and artificial intelligence. In addition to assessing the insured’s health, researchers also calculate premiums based on the patient’s biological age.

Prof. Alhadi sees promising research development in Computational Mathematics, Data Science, Bioinformatics, Big Data, and AI in the multidisciplinary era. These research development prospects include research collaborations with related faculties/fields, government, and industry; the MBKM Program and the introduction of Data Science and AI at the school level; strengthening human resources; and the formation of startups in the field of Data Science and AI. Furthermore, this field of science also plays a significant role in the development of research in the life sciences, health, and entrepreneurship through interdisciplinary collaborations, such as Mathematics, Biology, Pharmacy, Medicine, Chemistry, and Computer Science, among others.

Following the speech, Prof. Alhadi was officially inaugurated as a Permanent Professor of Computational Mathematics at the Faculty of Mathematics and Natural Sciences (FMIPA), University of Indonesia (UI). The inauguration was led by UI Rector, Prof. Ari Kuncoro, SE, MA, Ph.D., and broadcast live virtually on the UI Television YouTube channel.

Prof. Alhadi Bustamam, S. Si., M. Kom., Ph.D. is a lecturer and Head of the Mathematics Department, Faculty of Mathematics and Natural Sciences, University of Indonesia. He completed his undergraduate studies in Mathematics, Faculty of Mathematics and Natural Sciences, University of Indonesia in 1996; his Masters in Computer Science, Faculty of Computer Science, University of Indonesia in 2002; and his doctoral studies in Advanced Computing in Bioinformatics from the School of Mathematics and Institute for Molecular Bioscience, The University of Queensland (UQ), Australia in 2011.

Some of the latest published scientific works include Development of Artificial Intelligence Analysis to Assess Meibomian Gland Dysfunction (MGD) in Dry Eye Disease Using Meibography Imaging (2022); Genomic Sequence Analysis in Covid-19 and Other Infectious Diseases using In Silico Approach and Big Data Analytics (2022); Genomics Analysis on Multimodal Data for Detecting Dengue Fever (DHF) and Chronic Diseases using Feature Selection Fusion Approach (2022); and Implementation and Application of AI and Chatbot for Intelligent Healthcare (2021). Depok, August 6, 2022. Progress in the Industrial Revolution 4.0 era has made all fields involve data digitalization, including the health sector. Data Science, which is a combination of mathematics, computer science, and domain expertise, plays an important role in this. The existence of Data Science is one of the multidisciplinary sciences that is very rapidly developing and applied as a solution to form collaborations in the fields of science, industry, government, and other related fields.

Prof. Alhadi Bustamam, S. Si., M. Kom., Ph.D., in his research entitled “The Strategic Role of Computational Mathematics and Data Science in the Multidisciplinary Era of Bioinformatics, Big Data, and Artificial Intelligence,” examines the role of Computational Mathematics and Data Science in research across various fields. Computational mathematics is a branch of science that solves problems involving computational data management, processing, and analysis. Computational Mathematics is a key pillar of Data Science and its applications in the fields of Bioinformatics, Big Data, and Artificial Intelligence (AI).

Bioinformatics is an interdisciplinary field that focuses on the application of computational mathematics, statistics, and life sciences to manage and interpret biological data. Currently, bioinformatics is entering a new era of “big data,” generating large amounts of data in everyday life, such as in genomics research. Big data itself is a very large, complex, and constantly growing collection of data. Meanwhile, artificial intelligence (AI) is the ability of a system to correctly interpret external data, learn from it, and use it to achieve specific goals and tasks through flexible adaptation.

Prof. Alhadi applies and implements Data Science, Big Data, and AI in the fields of telemedicine healthcare and entrepreneurship. In the field of telemedicine, development is realized through the creation of applications to detect diseases through eye fundus images; malaria detection through red blood cell images; dengue detection through red blood cell images and laboratory data; Alzheimer’s and Parkinson’s disease detection through MRI images; and cancer detection through image data and gene expression data.

Furthermore, detection of heart disease through ECG signals; child stunting through ultrasound data; tuberculosis; and Type 2 Diabetes Drug Candidates through molecular compound data using the QSAR approach. This research was further developed through collaboration with UMG IdeaLab, IMERI FK UI, RSCM, RSUI, and UI Advisory.

In the field of entrepreneurship, the role of computational mathematics through Data Science and AI is applied in several studies, including the detection of rice and rubber plant diseases through leaf images; the development of insurance applications for underwriting checks in hospital administration; and the development of models for smart cities. Research on rubber plant disease detection through leaf images was conducted in collaboration with SATREP RIKEN Japan. The goal is to prevent rubber plants from being attacked by disease or even crop failure, with early detection through digital imagery obtained from satellites.

To detect diseases in rice plants, the research collaborated with BRIN LAPAN. Rice plant diseases such as tungro, which originate from viruses, fungi, and bacteria, can hamper rice production in Indonesia. Diseased rice plant leaves can be used as indicators of disease type because each disease has a unique pattern on the leaves. Disease detection in rice plants is carried out using rice leaf images.

Meanwhile, in the field of entrepreneurship related to insurance and chatbots, research is being conducted in collaboration with URIMO-Life. The insurance offered by URIMO-Life incorporates elements of bioinformatics, data science, and artificial intelligence. In addition to assessing the insured’s health, researchers also calculate premiums based on the patient’s biological age.

Prof. Alhadi sees promising research development in Computational Mathematics, Data Science, Bioinformatics, Big Data, and AI in the multidisciplinary era. These research development prospects include research collaborations with related faculties/fields, government, and industry; the MBKM Program and the introduction of Data Science and AI at the school level; strengthening human resources; and the formation of startups in the field of Data Science and AI. Furthermore, this field of science also plays a significant role in the development of research in the life sciences, health, and entrepreneurship through interdisciplinary collaborations, such as Mathematics, Biology, Pharmacy, Medicine, Chemistry, and Computer Science, among others.

Following the speech, Prof. Alhadi was officially inaugurated as a Permanent Professor of Computational Mathematics at the Faculty of Mathematics and Natural Sciences (FMIPA), University of Indonesia (UI). The inauguration was led by UI Rector, Prof. Ari Kuncoro, SE, MA, Ph.D., and broadcast live virtually on the UI Television YouTube channel.

Prof. Alhadi Bustamam, S. Si., M. Kom., Ph.D. is a lecturer and Head of the Mathematics Department, Faculty of Mathematics and Natural Sciences, University of Indonesia. He completed his undergraduate studies in Mathematics, Faculty of Mathematics and Natural Sciences, University of Indonesia in 1996; his Masters in Computer Science, Faculty of Computer Science, University of Indonesia in 2002; and his doctoral studies in Advanced Computing in Bioinformatics from the School of Mathematics and Institute for Molecular Bioscience, The University of Queensland (UQ), Australia in 2011.

Some of the latest published scientific works include Development of Artificial Intelligence Analysis to Assess Meibomian Gland Dysfunction (MGD) in Dry Eye Disease Using Meibography Imaging (2022); Genomic Sequence Analysis in Covid-19 and Other Infectious Diseases using In Silico Approach and Big Data Analytics (2022); Genomics Analysis on Multimodal Data for Detecting Dengue Fever (DHF) and Chronic Diseases using Feature Selection Fusion Approach (2022); and Implementation and Application of AI and Chatbot for Intelligent Healthcare (2021).