The Informatics Engineering Study Program, University of Muhamadiyah Malang (UMM) held a Tableau workshop; Data Visualization to Support Smart City held at the Joint Lecture Building (GKB 3) UMM (12/10). The agenda is based on the importance of handling Big Data, including data analysis, which is increasingly being realized by businesses, industry, students and even government institutions themselves.
The agenda that was held this day included the introduction of Tableau software, the practice of data visualization (visual analysis, filters and mapping) and publishing data (calculations, stories and dashboards, and publishing Tableau) divided into two classes for the public, namely from relevant government agencies and students tertiary institution in Indonesia.
By cooperating with expert data presenter from Kata.ai Resa Primasatya Platform, Indonesian Data Scientist Achmad Wilda Al Aziz and Yufis Azhar, M.Kom, UMM Information Engineering lecturer who were also competent saw visualization opportunities from the application of big data through the Tableau platform which could support the formation of smart City
Participated by participants from several Regional Governments such as the Regional Development Planning Agency (BAPPEDA & BALITBANGDA) Batu City and Pasuruan, Communication and Information Technology (KOMINFO) Trenggalek, Bangkalan, Sidoarjo, Indonesian Citrus and Subtropical Fruit Research Institute (BALITJESTRO) and a number of universities namely UNAIR, UPN, UB, and UMM.
In his opening, the Chief Executive who is also a lecturer in Informatics Engineering study program Christian S.K.Aditya., M.kom stated, In the era of rapidly developing digital technology is one of the factors that can affect the explosion of data. "It is hoped that through this workshop, it can bridge practitioners, academics and government in welcoming the development of smart cities in Indonesia," he said.
By using the drag and drop table, graphics and other design features in the Tableau software it is expected to be able to visually read and analyze data from different points of view. So that the data is not monotonous and can obtain good decisions in supporting the existence of smart cities, "added Yuvis as the speaker.
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