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All Journal Journal of Information Systems and Informatics Indonesian Journal of Computer Science
Bassey Isong
North-West University
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Case Study Analysis of the Use of Cloud Computing for Assessing Big Data Risks Fadi Fataftah; Bassey Isong
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.478

Abstract

Risks associated with adopting big data and cloud computing and exposing sensitive information must be evaluated as usage of these technologies continues to rise rapidly within businesses. Also, the company needs to investigate the potential consequences of cyber security threats, considering the severity of those risks. There has been no comparative analysis of the risk assessment methods available to businesses in various nations. Thus, the researcher in this study asked forty people from four countries (Canada, Jordan, South Africa (SA), and the United Kingdom (UK)) questions on the risk assessment procedures at their respective organizations using semi-structured interviews. After compiling and analyzing the data, it became clear that Canada and the UK were the frontrunners in adopting big data and cloud computing. It also demonstrated that Jordan and SA are in the early phases of an evolving adoptive relationship. Recommendations are made to strengthen the organization's standing in light of the different risk assessment frameworks used in each country.
Blockchain-Enabled Vaccination Registration and Verification System in Healthcare Management Bassey Isong; Tshipuke Vhahangwele; Adnan M Abu-Mahfouz
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.497

Abstract

Client-server-based healthcare systems are unable to manipulate a high data volume, prone to a single failure point, limited scalability, and data integrity. Particularly, several measures introduced to help curb the spread of Covid-19 were not effective and patient records were not adequately managed and maintained. Most vaccination-proof certificates were forged by unauthorized parties and no standard verification medium exists. Therefore, this paper proposes a blockchain-enabled vaccination management system (VMS). VMS utilizes smart contracts to store encrypted patients record, generate vaccination certificates, and verify the legitimacy of the certificate using a QR code. VMS prototype is implemented using Ethereum, a public blockchain and simulations performed based on Apache JMeter and Hyperledger Caliper to assess its performance in terms of throughput, latency and response time, and the average time per transaction. Results show VMS achieved an average: response time of 132.24 ms, the throughput of 379.89 tps, latency of 204.60 ms, and time of transactions is 10s-12s for 1000 transactions. Also, its comparison with the centralized database shows the traditional database’s effectiveness in transaction processing but lacks data privacy and security strengths. We, therefore, recommend the use of blockchain in the healthcare system and other related sectors such as elections, and student records management to ensure data privacy and security and rid the system of a single point of failure.
A Comparative Study of Computer Programming Challenges of Computing and Non-Computing First-Year Students Alain Mbiada; Bassey Isong; Francis Lugayizi
Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): Indonesian Journal of Computer Science (IJCS) Volume 12 No. 4 (2023)
Publisher : STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3330

Abstract

The learning of computer programming comes with unique difficulties that vary among students depending on their backgrounds, learning methods, and objectives. This paper investigates the programming challenges first-year students from non-computing at the North-West University, South Africa, and computing backgrounds at the University of Dschang, Cameroon face. A questionnaire-based data collection method is utilized and categorizes participants based on their gender, age, fields of study, prior experiences in mathematics, statistics, English, and programming languages, lab use/access, learning strategies, and material preferences. The aim is to identify and analyze the student's understanding of the basic programming concepts and the specific challenges met during introductory programming modules. Analysis of the collected data shows that while a considerable percentage of non-computing students have prior experience in mathematics and English, they lack familiarity with programming. Equally, while most computing students are proficient in spoken English, they face significant challenges in programming, mathematics, and written English. Notable difficulties are experienced in grasping concepts like recursion, arrays, error handling, and function/procedure methods. Moreover, a comparative study reveals that both groups of students encounter similar challenges, however, non-computing students’ difficulties are more than their computing counterparts. This paper, therefore, suggests designing teaching methods and learning materials to specifically meet the needs of non-computer science students, and enhance their understanding and proficiency in computer programming.
Co-Authors Adnan M Abu-Mahfouz Alain Mbiada Fadi Fataftah Francis Lugayizi Tshipuke Vhahangwele