BANDUNG, Telkom University – Telkom University confirms that Prof. Dr. Suyanto, S.T., M.Sc., became a professor in Artificial Intelligence. At the senate session of Professor Inauguration, Prof. Suyanto, which took place at the Damar Telkom University Building, Friday (10/12), Prof. Suyanto delivered a scientific oration entitled “Komodo Mlipir Algorithm.”
According to Prof. Suyanto, Komodo Mlipir Algorithm (KMA) is a new algorithm resulting from his research together with the team at the Intelligence System Expertise Group, Faculty of Informatics. This algorithm belongs to the group of metaheuristic optimization methods known as Swarm Intelligence (SI).
“This KMA method was registered with the Directorate General of Intellectual Property (https://www.dgip.go.id) on March 8, 2021,” he explained.
Prof. Suyanto, an alumnus of Informatics Engineering 1993, Telkom University (formerly STT Telkom), explained that the various metaheuristic optimization algorithms currently available can only solve low-dimensional problems (tens to hundreds). Although several algorithms can solve problems with thousands of dimensions, they usually have a high computational complexity that requires extensive computer resources and a long time.
“This KMA was built to overcome these shortcomings. KMA is designed to provide high assurance in finding a global optimum and can be scalable to thousands (if not millions) of dimensions (or variables).” Obviously.
Prof. Suyanto, who has been a permanent lecturer at Telkom University since 2000, is an active lecturer in teaching and research in Artificial Intelligence, Machine Learning, Swarm Intelligence, and Evolutionary Computation.
“The KMA method that we have developed is inspired by the behavior of the Komodo dragon, which is a rare animal native to the province of East Nusa Tenggara, Indonesia. Moreover, the Mlipir Movement is a term in Javanese, which can be interpreted as walking on the side to avoid danger to reach the destination safely,” he said.
Prof. Suyanto added that empirically, KMA had been proven to be scalable, stable, and low computational for most of the reference functions. In the next development plan, KMA will be tested more comprehensively using more complex benchmark functions and real problems in the real world.
In addition, two other important points need to be considered, among others, as a new high-performance SI algorithm, KMA has excellent potential to be applied in various fields because all computing problems in the real world are optimization. In addition, KMA has excellent potential in supporting the development of AutoML and XAI to realize 4G AI technology, which is characterized by the presence of AXAI technology that is accurate, fast, and inexpensive.
The following conclusion point according to Prof. Suyanto said that all fields of science are interrelated. Therefore, we need to study other areas of interest to develop a broader system because Artificial Narrow Intelligence technology has begun to match human abilities, specifically in specific fields.
Prof. Dr. Suyanto was mandated by the Minister of Education and Culture of the Republic of Indonesia as a Professor or Professor of Artificial Intelligence at the Telkom University Faculty of Informatics, based on decree NUMBER 79979/MPK.A/KP.05.01/2021 regarding the promotion of lecturers’ academic positions.
Prof. Suyanto actively publishes the results of his research in journals and conferences. He has produced 94 international scientific publications indexed by Scopus and Scimago, of which 21 are in the form of reputable international journals and 73 others are in international proceedings and book chapters.
Based on the results of these publications, Prof. Suyanto has a Scopus h-index of 14, which makes his name included in the List of 2% Most Influential Scientists published by Stanford University and Elsevier BV in October 2021. In addition, he has registered eight patents, obtained 22 copyrights, and published ten textbooks related to the field of Artificial Intelligence.
In closing, Prof. Suyanto said that this Professor was not the finish point. Nevertheless, a starting point to run faster and a starting point to work more.
“For me, professors are the starting point for faster downstream of research results. The starting point is providing greater benefits to society for the Indonesian people and the world,” he said.