Online Joint Class Telkom University & MMU: #6&7
Online Joint Class Telkom University & MMU: #6&7. Having held the 1st session of the Online Joint Class a week ago (10/06), Telkom University continued to successfully host the 2nd & 3rd session of the Online Joint Class, in collaboration with Multimedia University Malaysia and supported by Passage 2 ASEAN on Thursday, June 18th, 2020. The class was participated by participants from various countries such as Malaysia, Vietnam, Philippines, Thailand, Pakistan, Bangladesh, Yemen, Jordan, Palestine and Indonesia.
The participants were enthusiast to lean about today’s topics on Analytics Data Visualizations and Image Processing for Medical Applications. As we know that data especially a large scale of data covering so many numbers will only a number if there is no visualization. Those data need to be visualized in order to be read and understood comprehensively. That’s why participants attended the 2nd session to gain knowledge on data visualization and the tools for visualizing the data itself. Moreover, in the 3rd session, participants were wondering on what kinds of programs or applications that support in medical field.
In the 2nd session, held at 10 AM, the participants learned about “Analytics Data Visualizations with Self-Service BI Tools: Data-to-Insight-to-Action” that was delivered by Dr. Tora Fahrudin, a lecturer of Telkom University. The topic given by Dr. Tora covered three main points including 1) What is Data Visualization, 2) Data Visualization Tools, and 3) Tableu as Data Visualization tool used in BI.
According to Dr. Tora, data visualization is the graphical representation of the information and the data which can be charts, graphs, maps, world cloud, diagrams, and etc. People need to visualize the data because it can be easier to understand pattern, trend, and outliers. Besides, data visualization can attract user to be focused on something being displayed such as the pattern or trends.
Thus, data visualization can be an aid decision analysis whether it needs to be improved, repaired, eliminated or even terminated. There are several data visualization tools that can be used to present the data, depending the user and the needs. The most familiar tool to visualize the data is Microsoft Excel. It’s pretty simple to present the data using Microsoft Excel since it can be visualize into chart, graph, or diagrams. In academia setting, people tend to use Python and R as data visualization tools, and programmer also knows more about D3, High Charts, Echarts, Leaflet, Vega, deck.gl and etc. In addition, for the commercial products, there are Tableu, Power BI, and etc.
The 3rd session was held at 2 PM by inviting Assoc. Prof. Agus Pratondo, Ph.D., a Vice Dean of Finance and Resource School of Applied Science, Telkom University. Dr. Agus delivered material on “What Image Processing Does for Medical Applications” covering 1) Introduction of Medical Images (MRI, CT Scan/ X ray, USG), 2) Fundamental Image Processing for Medical Image (histogram eq, smoothing, etc.), and 3) Advance Medical Image Processing (segmentation using machine learning, active contour, method integration). Through his explanation, participants can conclude that programmer and his/her programming are also very important for the medical field. An excellent programming is very helpful for medical practitioner to detect diseases that exist in human body.
Don’t miss our next Online Joint Class to gain more insightful topic. See you.(IO)***
