Abstract

Private universities have devised a strategy to counteract the ongoing competition. Private universities can use the appropriate data analysis method to make higher education management decisions. The goal of this research is to find a new approach to data analysis methods in the form of visualization using the TTM (Temporal Topic Model) method to assist private university management. These findings are the two formulas used to generate time-based visualizations and the Temporal Topic Model per month to visually change news topics related to rankings so that management can decide on marketing strategies and policies that are in relation to public opinion.

Highlights

  • The number of private universities, in Indonesia is around 68 per cent of all universities, is one factor in the existence of competition for private universities in Indonesia

  • This research differs from several previous studies in that it analyzes the community's tendency in choosing universities towards university ranking indicators with a new approach using the Temporal Topic Model and visualizing it in order to apply for higher education management

  • The resulting visualization is time-based, and the Temporal Topic Model is used once a month to produce shifts in news topics that are www.ijacsa.thesai.org (IJACSA) International Journal of Advanced Computer Science and Applications, Vol 12, No 11, 2021 visually related to university rankings, allowing management to make marketing strategies and policies that are in line with community opinions

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Summary

INTRODUCTION

The number of private universities, in Indonesia is around 68 per cent of all universities, is one factor in the existence of competition for private universities in Indonesia. Information on tertiary institutions visually at a certain time can be used by management to determine policies for making competition decisions that take place. This research differs from several previous studies in that it analyzes the community's tendency in choosing universities towards university ranking indicators with a new approach using the Temporal Topic Model and visualizing it in order to apply for higher education management. The resulting visualization is time-based, and the Temporal Topic Model is used once a month to produce shifts in news topics that are www.ijacsa.thesai.org (IJACSA) International Journal of Advanced Computer Science and Applications, Vol 12, No 11, 2021 visually related to university rankings, allowing management to make marketing strategies and policies that are in line with community opinions

METHODS
Text Pre-Processing
Topic Model
RESULT
Findings
Visualization
Full Text
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