The 2019 National Dynamics of Information Seminar (Senadi) held on April 23, 2019 carries the theme & LDQUO; The Role of Data Science in the Era of Industrial Revolution 4.0 “. This theme was raised because data plays an important role in the Industrial Revolution 4.0.
Senadi 2019 was held at the Yogyakarta PGRI University Auditorium Building with very competent speakers in their fields, namely Prof. Ema Utami, S.Si., M.Kom (Figure 1) who is an expert on data science and author of the digital book is ME and the second speaker is Dr. Edhy Sutanta, M. Kom. (Figure 2) A lecturer as well as a practitioner who is mostly related to data.
Figure 1. Prof. Ema when giving material
Figure 2. Dr. E Edhy when bringing material (far left)
One of the interesting articles included in the 2019 Senadi is & LDQUO; Implementation of Machine Learning and Computer Vision in the Development of Classification and RDQUO Classification and Calculation Systems;, this article was presented by one of the 2017 UPY Informatics students named Dian Agustiani. MBA Dian is one of the outstanding students with a Cumlaude GPA of 3.53. Students who currently work at the Bantul Regency Regional Financial and Asset Agency (BKAD) see problems related to the growth of the number of vehicles which eventually have increased road traffic burdens. Density and congestion have become commonplace, especially in big cities. This makes the local government, through the officers owned, making various efforts, one of which is traffic engineering. The woman who is currently a civil servant has found traffic engineering which is usually based on the density of the number of vehicles and types of vehicles found on a road. Various technological solutions can be applied to accommodate these needs, one of which is computer vision, explained Mba Dian in a parallel session presentation (Figure 3).
Figure 3. Mba Dian when presenting her research in a parallel session
One of the technologies used in Mba Dian’s research is computer vision technology. This technology can be used as an alternative solution in helping traffic monitoring officers and their support is available in the form of open source library , namely by utilizing the functions contained in the OpenCV library. The library has been able to classify the type of vehicle for then calculated by the system (Figure 4).
Figure 4. Mask RCNN Using Open CV
With the automation of the classification and calculation of the number of vehicles, it is expected to ease the workload of officers.
Senadi 2019 went well and smoothly, and was closed with the submission of certificates by the Deputy Dean of the Faculty of Science and Technology, Nurirwan Saputra, M.Eng (Figure 4) .
Figure 4. Mba Dian and Deputy Dean of FST when submitting certificates