Knowledge Visualization of Internet Usage Pattern to Improve Students’ Academic Performance Using Prescriptive Analytic

Authors

  • Shakiroh Khamis Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia
  • Mazida Ahmad Institute of Advanced and Smart Digital Opportunities, School of Computing, Universiti Utara Malaysia, Sintok Kedah, Malaysia
  • Azizah Ahmad Albukhary International University (AIU), Jalan Tun Abdul Razak, 05200, Alor Setar, Kedah Darul Aman, Malaysia
  • Hapini Awang Institute of Advanced and Smart Digital Opportunities, School of Computing, Universiti Utara Malaysia, Sintok Kedah, Malaysia
  • Chrissanthi Angeli University of West Attica, Athens, Greece
  • Zanariah Zainudin Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia
  • Lim Jit Theam Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia
  • Wong Pei Voon Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia
  • Nurul Syafidah Jamil Institute of Advanced and Smart Digital Opportunities, School of Computing, Universiti Utara Malaysia, Sintok Kedah, Malaysia

DOI:

https://doi.org/10.37934/araset.48.1.283298

Keywords:

Prescriptive analytic, visualization, students’ performance, internet usage, power BI

Abstract

The knowledge discovery from graphical graphs could be challenging. Most of the time, the visual analysis cannot be done solely based on naked eyes interpretation. Therefore, knowledge visualization is vital to assist the process, especially in business intelligence and analytics to improve data insights and cognitive abilities. To effectively facilitate knowledge discovery from visual graphs, different analytical techniques should be explored in analyzing and visualizing the datasets. This study proposes an intelligent system to discover hidden knowledge from educational data by using interactive visualization and prescriptive analytic techniques. It focuses on model processing, as well as the development of an intelligent system to improve students’ academic performance. The method adapted Design Research, comprising of four stages which are 1) problem definition, 2) suggestion, 3) development, and 4) evaluation. Additionally, three stages of data analytics were applied in the development stages, namely 1) descriptive-analytic on Internet usage pattern and students’ academic performance, 2) predictive analytic of students’ academic performance based on Internet usage pattern, and 3) prescriptive analytic to recommend the suitable action to improve students’ academic performance. All these techniques involve data visualization by using the Microsoft Power BI tool. This approach is tested using a real dataset from Higher Learning Institutions, collected from 2017 to 2019. As a result, this leads to the desired knowledge visualization that facilitates the decision-making related to student performance enhancement.Theoretically, this study contributes to enhance the visualization and interpretation of data by using cognitive and reasoning components in prescriptive analytic. Besides, the proposed model enables decision maker in educational domain to make meaningfuldecisions regarding Internet usage management.

Author Biographies

Shakiroh Khamis, Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia

shakiroh@utar.edu.my

Mazida Ahmad, Institute of Advanced and Smart Digital Opportunities, School of Computing, Universiti Utara Malaysia, Sintok Kedah, Malaysia

mazida@uum.edu.my

Azizah Ahmad, Albukhary International University (AIU), Jalan Tun Abdul Razak, 05200, Alor Setar, Kedah Darul Aman, Malaysia

azie.rafi@gmail.com

Hapini Awang, Institute of Advanced and Smart Digital Opportunities, School of Computing, Universiti Utara Malaysia, Sintok Kedah, Malaysia

hapini.awang@uum.edu.my

Chrissanthi Angeli, University of West Attica, Athens, Greece

c_angeli@otonet.gr

Zanariah Zainudin, Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia

zanariah@utar.edu.my

Lim Jit Theam, Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia

limjt@utar.edu.my

Wong Pei Voon, Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia

wongpv@utar.edu.my

Nurul Syafidah Jamil, Institute of Advanced and Smart Digital Opportunities, School of Computing, Universiti Utara Malaysia, Sintok Kedah, Malaysia

jamil.nurulsyafidah@gmail.com

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Published

2024-06-10

How to Cite

Shakiroh Khamis, Mazida Ahmad, Azizah Ahmad, Hapini Awang, Chrissanthi Angeli, Zanariah Zainudin, Lim Jit Theam, Wong Pei Voon, & Nurul Syafidah Jamil. (2024). Knowledge Visualization of Internet Usage Pattern to Improve Students’ Academic Performance Using Prescriptive Analytic. Journal of Advanced Research in Applied Sciences and Engineering Technology, 48(1), 283–298. https://doi.org/10.37934/araset.48.1.283298

Issue

Vol. 48 No. 1: June (2025)

Section

Articles