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All Journal Journal of Information Systems and Informatics Jurnal Pustaka Ilmiah
Sello Prince sekwatlakwatla
North-West University
Computer Science & IT Library & Information Science Social Sciences

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Bibliometric Analysis of ICT Research in South Africa Vusumuzi Malele; Sello Prince Sekwatlakwatla
Jurnal Pustaka Ilmiah Vol 10, No 2 (2024): Jurnal Pustaka Ilmiah
Publisher : Universitas Sebelas Maret Library

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jpi.v10i2.86873

Abstract

Most of the new fixed and wireless communication networks are being provided by local businesses and foreign subsidiaries, indicating the rising popularity of South Africa's ICT sector in the continent's rapidly expanding market. This study analyzes information and communication technology (ICT) research in South Africa and suggests potential development areas in the country's ICT literature. The study focused on publications that published most ICT research articles for 2009–2024. The study conducted bibliometric analysis based on the number of South African publications and citations in ICT research as indexed in the Scopus and Web-of-Science databases. University of South Africa (UNISA) produced 77% of publications between 2009 and 2024. The University of Pretoria (UP) curriculum aligns with worldwide standards. It gives students a thorough grasp of computer science, emphasizing modern software development techniques used in the IT sector. In the same period, the University Of Pretoria (UP) came in second with 49% followed by the University of Cape Town (UCT) at 41%, the University of Johannesburg (UJ) at 29%, The Council for Scientific and Industrial Research (CSIR) at 28%, followed by University of KwaZulu-Natal at 20%, the North-West University (NWU) at 18% followed by University of Western Cape at 15%, University of Fort Hare at 14%, and Tshwane University of Technology, at 13%. Most research areas were education, educational research, information science, library science, environmental sciences, astronomy, astrophysics, multidisciplinary sciences, computer science, and information systems. During this period, South Africa experienced minimal to no publication in ICT research by universities of technology and colleges. The main contribution of this study is to investigate the prevalence of ICT research in South Africa and provide recommendations on how to improve ICT research.
Data Analytics Techniques for Addressing Cloud Computing Resources Allocation Challenges: A Bibliometric Analysis Approach Sello Prince Sekwatlakwatla; Vusumuzi Malele
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.640

Abstract

The increase in the use of digital technology led to an increase in online activities. In this regard, many organizations adopted cloud computing systems to manage this online traffic. It is plan of every cloud computing resource provider to manage their system effectively and efficiently. This paper uses bibliometric analysis technique to look at the prevalence of utilization of data analytics techniques in addressing cloud computing resource allocation challenges. In this regard, the following research databases the Association for Computing Machinery, the Institute of Electrical and Electronics Engineering, Web of Science and Scopus databases, were consulted. The research articles published before the beginning of 2017 to 2023 were considered as part of the analysis. The results showed that the prevalent data analytics techniques used to address the cloud computing resources allocation challenge are Support Vector Machine, Spatio-temporal and edge-cloud collaborative scheme. Failure to effectively and efficiently provide cloud computing management resource allocation will lead to system bottlenecks especially during peak periods. In this regard, such a failure could lead to dissatisfied clients.
Model for Enhancing Cloud Computing Resource Allocation Management Using Data Analytics Sello Prince Sekwatlakwatla; Vusumuzi Malele
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.679

Abstract

The cloud computing environment requires an adequate and accurate traffic prediction tool to fulfill the needs of customers and support organizations effectively. In the absence of an effective tool for forecasting cloud computing traffic, many organizations might fail. It is difficult to predict the network resources that are suitable to meet the needs of all network clients at a given time in a cloud computing environment because of the inconsistent network traffic flow. There is still room for improving the predictive accuracy of the model in cloud computing. The higher the accuracy of the traffic flow, the better the allocation of resources. Therefore, this study proposes an ensemble method called SGLA (Stepwise Gaussian Linear Autoregressive) by combining linear regression, support vector machines, Gaussian process regression, and the autoregressive integrated moving average technique. SGLA performed better than all methods with a minimum MAPE of 1.03% of the ensemble approach by using the averaging strategy, SGLA shows a clear advantage in handling resource allocation better despite traffic fluctuations, with 91.7% traffic prediction accuracy. Overall experimental results indicate that this method performed better than single models in terms of prediction accuracy. The main contribution of this study is to propose a data analytics model for enhancing cloud computing resource management.
Bibliometric Analysis of Data Analytics Techniques in Cloud Computing Resources Allocation Sello Prince Sekwatlakwatla; Vusumuzi Malele
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.782

Abstract

Cloud computing provides on-demand computing services over the Internet, allowing for quicker innovation, more flexible resources, and economies of scale while reducing the need for physical data centers and servers. With this benefit, most organizations are adopting this technology, and some organizations are also operating fully on cloud computing. This causes traffic to increase, and most of these organizations are struggling with resource allocation, resulting in complaints from users regarding inactive system performance, timeouts in applications, and higher bandwidth use during peak hours. In this regard, this study investigates data analytics techniques and tools for the allocation of resources in cloud computing. The study indexed journal articles from the Scopus Database and Web of Science (WOS) between 2010 and 2024. This article brings new insights into the analysis of data analytics techniques in Africa and collaborations with other developing countries. The findings present tools and approaches that may be used to allocate cloud computing resources and give recommendations.
Mapping Trends in Air Quality Research in South Africa: A Bibliometric Analysis, 1998-2024 Sello Prince Sekwatlakwatla; Vusi Malele; Priscilla Toona; James Tshilongo; Andile Mkhohlakali; Refiloe Letsoalo; Happy Mabowa; Napo Ntsasa
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.1025

Abstract

The foundation of South Africa is the Constitution, which guarantees every citizen access to a safe and healthy environment. Despite a wealth of research on lower-income households, the effects of burning wood for cooking, heating, and comfort in South African homes are also affecting the air quality; even if the government is working very hard to put measures in place to improve air quality, it will be very difficult to accommodate every household in South Africa. South Africa's low-income urban settlements focus on air quality monitoring for policy formulation and strategy building and Lack of garbage removal services and systems is another characteristic of low-income communities that exacerbates ambient air pollution levels. Based on the quantity of South African publications and citations in air quality that are listed in the Scopus and Web of Science databases, the study used bibliometric analysis to look at the country's air quality and the factors that affect it. Data was collected from 1998 to 2024; the results show that air pollution, nitrogen dioxide and emissions are causing a risk to children, and also having a high impact in causing diseases like asthma, respiratory health and climate change is playing a critical role in increasing the risk. Moreover, the word cloud reflects a growing emphasis on certain air pollutants, including NO₂, PM2.5, black carbon, and SO₂. NO₂ has been linked to substantial health implications, including respiratory disorders, asthma aggravation, and cardiovascular issues.
Co-Authors Andile Mkhohlakali Happy Mabowa James Tshilongo Napo Ntsasa Priscilla Toona Refiloe Letsoalo Vusi Malele Vusumuzi Malele