Unstructured Data to Visualized Information: Improving process of master list preparation for university ranking assessment and decision making: Unstructured Data to Visualized Information

Abstract

Information is crucial in any organization especially with regard to university ranking assessment. The information retrieval by using the words of “universiti kuala lumpur” will retrieve a publication from others university entity that contain those words. The most common data included was from Infrastructure University Kuala Lumpur. Besides, the data received from Scopus are in the form of authors initial and it will take some time for the Publication Unit officer to identify the author of the papers and to indicate the campus. This makes the process of preparing the master list taking longer time. This initiative is to shorten the process of preparing the university ranking document. The processed data will be visualized accordingly for head of campus and top management university and the publication performance can be assessed. It is found that the system developed enable the Publication Unit officers to process the data received from the library within 3 days for 200 data. Previously, the process took almost two weeks or more due to process of findings the owner of the publication. This finding confirmed the argument made by Patel (2021) that the information system is an enabler to achieve the final goal and in this case is the goal are to the prepare MyRA and SETARA publication master list and to provide the publication analysis for university and campus for decision making and strategic planning.