Abstract: Alumni data are mostly managed through paper-based and word file. With lots of alumni graduating each year, these massive data become difficult to handle. It is hard to look for past alumni data to know their current situation. Since the data is kept conventionally, there is no communication between the alumni and the faculty. Therefore, we proposed a solution that includes alumni information regarding their status in life where alumni themselves and individuals in the faculty can see. This study aims to visualize alumni data from a faculty in a public university through an exploratory dashboard using the identified data visualization techniques. This study adopts the dashboard development process consists of three major phases, which are conception, visualization, and finalization phase. The primary audience is identified and the theme for the dashboard is decided in the conceptual phase. The primary and support views are then designed together with the layout during the visualization phase. At the end of the study, the exploratory dashboard for alumni data using multidimensional and hierarchical data visualization is finalized with the interactive elements. The results are interpreted through descriptive and diagnostic analysis. The dashboard is then evaluated through convenience sampling technique to verify the representation of the dashboard. Majority respondents agreed on the simplicity of exploratory dashboard and the amount of data is also sufficient with the selection of the visualization types. The dashboard is beneficial to the university’s administrator, alumni, and public.

Nurhanani Izzati Ismail, Nur Atiqah Sia Abdullah and Nasiroh Omar, “Exploring Alumni Data using Data Visualization Techniques” International Journal of Advanced Computer Science and Applications(IJACSA), 13(9), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130922

@article{Ismail2022,
title = {Exploring Alumni Data using Data Visualization Techniques},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130922},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130922},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {9},
author = {Nurhanani Izzati Ismail and Nur Atiqah Sia Abdullah and Nasiroh Omar}
}