Today, Friday (22\/4\/2022). The Faculty of Mathematics and Natural Sciences (FMIPA UI) is again holding the MIPAtalk Series webinar. The webinar entitled \"Uncertainty of Geospatial Data and Its Visualization\" is the third series of MIPAtalk webinars.<\/p>\n\n\n\n
The agenda for the third MIPATalk Series presents Dr. Fatwa Ramdani, S.Si., M.Sc. who is a Graduate School of Humanities and Social Studies, University of Tsukuba, Japan, as a resource person and Iqbal Putut Ash Shidiq, M.Sc. Head of the Geography Undergraduate Study Program, FMIPA UI as a moderator. The third MIPAtalk series is still held through the Zoom Meeting platform and broadcast live through the official FMIPA UI Official YouTube channel.<\/p>\n\n\n\n
Vice Dean for Resources, Ventures and General Administration, FMIPA UI, Dr. Tito Latif Indra, M.Sc. opened this event. In his remarks, Dr. Tito said, \"The MIPAtalk Series activity is a commitment of FMIPA UI in realizing the improvement of scientific insight in various disciplines, especially sciences such as geography, geoscience, mathematics, physics, chemistry and biology.\"<\/p>\n\n\n\n
\"This activity, God willing, will be held every two weeks with the latest topics from various scientific disciplines. Through this activity, we really hope to provide more up-to-date scientific insight, not only to lecturers but also to students,\" continued Dr. Tito in his speech. He also hopes that this activity will provide opportunities for wider collaboration between participants.<\/p>\n\n\n\n
Entering the main session, namely the presentation of Dr. Fatwa Ramdani, S.Si., M.Sc. as the keynote speaker, in his presentation Dr. Fatwa, who is a lecturer and researcher at the Graduate School of Humanities and Social Studies, University of Tsukuba, Japan, explained that of the many data that are widely spread on the internet, more than 80 percent of the data is related to location.<\/p>\n\n\n\n
Explained through image examples, much graphic information that is consumed by the public cannot be identified as valid. Furthermore, he explained that the journey of data starts from raw data, then is sorted, arranged, visualized, explained using stories, until it becomes acceptable data.<\/p>\n\n\n\n
The level of data uncertainty from low to high goes hand in hand with the journey of data. The public must be critical of data and information presented in public spaces.<\/p>\n\n\n\n
\u201cUncertainty<\/em> is a state of uncertainty, doubt, confusion, and unpredictability. Geospatial<\/em> describes a relative position, 'something' on the surface of the earth. Data is the plural form of datum, which is often used in statistical, mathematical, and geographical studies. Visualization is an attempt to describe a technique that involves various approaches to then visualize something to achieve a certain goal,\" explained Dr. Fatwa dissecting the meaning of the title of his material word by word.<\/p>\n\n\n\n The Geoinformatics (GIS), Machine Learning, Applied Data Science expert also emphasized that the things that must be considered to reduce uncertainty are to be careful with data sources.<\/p>\n\n\n\n \"Never fully trust data whose metadata is unclear. Never use geospatial data from sources that do not have a good and clear geospatial data reputation. Never use data if there is no quality control information. Finally, do a comparative comparison, compare the data you already have with data from other sources,\" he said.<\/p>\n\n\n\n There are four strategies to reduce geospatial data uncertainty. First, determine the needs first. Second, select and sort the best quality data. Third, minimize the impact. Then finally, make a decision to accept or reject uncertainty. If you reject uncertainty, go back to point number two.<\/p>\n\n\n\n