Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Indonesian Journal of Information System Journal of Information Systems and Informatics
Mutanga, Bethel
Unknown Affiliation
Computer Science & IT

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Academic Factors Influencing Students Career Choices in the IT Field: Insights from South African IT Students Ndovela, Sithembile; Mutanga, Bethel
Indonesian Journal of Information Systems Vol. 6 No. 2 (2024): February 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i2.8293

Abstract

Effective career decision-making is pivotal for students, influencing their prospects and employability. This study delves into the nuanced relationship between academic factors and career choices among Information Technology (IT) students. While existing literature acknowledges the broad impact of academic performance on career decisions, limited research explores this dynamic within the context of South African universities. This research employs a comprehensive mixed-methods approach, examining the influence of educational experience, mentorship, access to resources, and institutional support on students' academic performance and subsequent career choices. Through statistical analysis and qualitative interviews, the study unveils unique insights into the interconnected effects of these factors on IT career pursuits. The findings bear significance for educators, career counselors, policymakers, and industry stakeholders. By understanding the multifaceted elements shaping academic performance and career decisions, institutions can tailor support programs, refine curricula, and nurture holistic student development. Employers stand to gain insights into the attributes of high-performing individuals, aiding talent management and recruitment. For IT students, this research provides a profound exploration of the intricate links between academic performance, career choices, and outcomes, contributing to the broader discourse on workforce development and the future of the IT sector.
The Problem of Data Extraction in Social Media: A Theoretical Framework Chani, Tarirai; Olugbara, Oludayo O; Mutanga, Bethel
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.585

Abstract

In today's rapidly evolving digital landscape, the pervasive growth of social media platforms has resulted in an era of unprecedented data generation. These platforms are responsible for generating vast volumes of data on a daily basis, forming intricate webs of patterns and connections that harbor invaluable insights crucial for informed decision-making. Recognizing the significance of exploring social media data, researchers have increasingly turned their attention towards leveraging this data to address a wide array of social research issues. Unlike conventional data collection methods such as questionnaires, interviews, or focus groups, social media data presents unique challenges and opportunities, demanding specialized techniques for its extraction and analysis. However, the absence of a standardized and systematic approach to collect and preprocess social media data remains a gap in the field. This gap not only compromises the quality and credibility of subsequent data analysis but also hinders the realization of the full potential inherent in social media data. This paper aims to bridge this gap by presenting a comprehensive framework designed for the systematic extraction and processing of social media data. The proposed framework offers a clear, step-by-step methodology for the extraction and processing of social media data for analysis. In an era where social media data serves as a pivotal resource for understanding human behavior, sentiment, and societal dynamics, this framework offers a foundational toolset for researchers and practitioners seeking to harness the wealth of insights concealed within the vast expanse of social media data.
Academic Factors Influencing Students Career Choices in the IT Field: Insights from South African IT Students Ndovela, Sithembile; Mutanga, Bethel
Indonesian Journal of Information Systems Vol. 6 No. 2 (2024): February 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i2.8293

Abstract

Effective career decision-making is pivotal for students, influencing their prospects and employability. This study delves into the nuanced relationship between academic factors and career choices among Information Technology (IT) students. While existing literature acknowledges the broad impact of academic performance on career decisions, limited research explores this dynamic within the context of South African universities. This research employs a comprehensive mixed-methods approach, examining the influence of educational experience, mentorship, access to resources, and institutional support on students' academic performance and subsequent career choices. Through statistical analysis and qualitative interviews, the study unveils unique insights into the interconnected effects of these factors on IT career pursuits. The findings bear significance for educators, career counselors, policymakers, and industry stakeholders. By understanding the multifaceted elements shaping academic performance and career decisions, institutions can tailor support programs, refine curricula, and nurture holistic student development. Employers stand to gain insights into the attributes of high-performing individuals, aiding talent management and recruitment. For IT students, this research provides a profound exploration of the intricate links between academic performance, career choices, and outcomes, contributing to the broader discourse on workforce development and the future of the IT sector.
Co-Authors Chani, Tarirai Ndovela, Sithembile Olugbara, Oludayo O