en
en

FTUI Doctor Candidate Creates a Reliable Framework for Driver Fatigue Detection

The Electrical Engineering Doctoral Study Programme, Faculty of Engineering, Universitas Indonesia (FTUI), graduated Doctor Junartho Halomoan with the 514th doctorate in FTUI on Monday (17/07). Junartho presented his dissertation entitled “Development of a Driving Fatigue Detection Framework Using Resampling With Overlapping Window Methods, Combined Heart Rate Variability Analysis, Feature Selection, and Ensemble Learning”.

Junartho Halomoan, in his dissertation, developed a framework for detecting driving fatigue. This research was motivated by WHO data, which states that the number of deaths caused by traffic accidents has reached 1.3 million people. The human error factor that causes the most traffic accidents is fatigue while driving. Therefore, accurate fatigue detection is required for the driver.

“The accuracy of driving fatigue detection depends on the accuracy of the dataset. The fatigue dataset is related to fatigue induction scenarios and the duration of driving simulations. This research requires a method of determining the basic truth with the statistical analysis needed to analyse the condition of driver fatigue in certain periods and estimate driving duration, which can determine the level of fatigue,” said Junartho.

He again added, “Some of the contributions made in this research, namely the proposed method of determining the basic truth of driver fatigue conditions with statistical analysis, a driving detection framework with 2 electrode ECG measurements and a modified lead-I ECG recording configuration, a resampling method with an overlapping window, and a driving fatigue detection framework with 2 electrode ECG measurements and a modified lead-1 ECG recording configuration, a resampling method with an overlapping window.”

The Dean of FTUI, Prof. Dr. Heri Hermansyah, S.T., M.Eng., IPU, said, “Unlike the research that has been done to detect driver fatigue, the research conducted by Junartho Halomoan is very interesting because it has succeeded in developing data pre-processing, namely resampling with an overlapping window, which is a method that can improve classification performance.”

Junartho Halomoan was declared to have graduated with a “Very Satisfactory” graduation. As well as being the 162nd Doctor of the Department of Electrical Engineering at FTUI who graduated in 2023. The session was held offline at the Smart Meeting Room in the FTUI Dean Building.

The doctoral promotion session was chaired by the Chairman of the Session, Prof. Dr. Ir. Yanuar, M.Eng., M.Sc., Deputy Dean for Education, Research, and Student Affairs. With the promoter, Prof. Dr.-Ing., Ir. Kalamullah Ramli, M.Eng., Professor of the Department of Electrical Engineering, FTUI, and Dr. Ir. Dodi Sudiana, M.Eng., Lecturer in the Department of Electrical Engineering, FTUI, and the Chief Examiner, Prof. Dr. Ir. Riri Fitri Sari, M.M., M.Sc., IPU, and several examiners, Prof. Dr. Ir. Ir. Anak Agung Putri Ratna, M.Eng., M.Eng., Dr. Ir. Muhammad Salman, M.IT., Dr. Prima Dewi Purnamasari, S.T., M.Sc., Dr. Eng. Mia Rizkinia, S.T., M.T., and Prof. Ts. Dr. Teddy Surya Gunawan

Dean of FTUI, Prof. Dr. Ir. Hery Hermansyah, S.T., M.Eng., IPU, expressed his appreciation to the 514th Doctor who has graduated from FTUI. “Another achievement was achieved by students from the FTUI Electrical Engineering Doctoral Programme: excellent research and very interesting because it raises what often happens in society: impactful research that can provide benefits to the field of driving safety by developing a vehicle detection framework using reliable methods that can be implemented in the future to be able to detect driver fatigue,” he said.

***

Bureau of Public Communications
Faculty of Engineering, Universitas Indonesia

X