Journal of Information Systems and Informatics (Journal-ISI)
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Clustering Library Loan Books Using K-Means Clustering
No full textOptimal library collection management requires an understanding of book borrowing patterns to align availability with user needs. Without proper analysis, less popular books may remain in large quantities, while popular books may experience shortages. This study employs the K-Means Clustering method to group borrowed books at the Saintek UINSU Medan Library. The dataset consists of 290 loan records with attributes including book type, borrowing frequency, and the number of individuals borrowing each book. The data was converted into a numerical format and normalized using Min-Max Scaler. The Elbow Method was applied to determine the optimal number of clusters, which was found to be two. This study aims to classify books based on borrowing patterns to provide insights into library collection management. The clustering results can assist in decision-making regarding book procurement and distribution. Cluster C0 consists of popular books with high borrowing frequency and a large number of borrowers, while Cluster C1 includes books with lower borrowing rates. These findings offer a deeper understanding of borrowing trends, aiding libraries in developing acquisition strategies and organizing collections more effectively to meet user needs. These findings provide valuable insights for strategic decision-making in library collection development and maintenance, ensuring that popular books are adequately stocked while minimizing the accumulation of less-demanded titles
Strategic Framework for Cybersecurity Policy Compliance in Namibian Organizations
Full text linkThe Internet and its transformative technologies have become essential to both emerging and established businesses. While organisations benefit from connectivity, they are also increasingly vulnerable to cyber-attacks, underscoring the need for robust monitoring systems and comprehensive cybersecurity policies. In Namibia, many organisations have cybersecurity policies, yet employees are often unaware of existence of such policies. This study aimed to examine the complexities of cybersecurity policies within Namibian organisations and provide a tailored roadmap for developing, implementing, and ensuring compliance with these policies to suit the unique landscape of Namibian businesses. Using a qualitative approach guided by design science research, data was collected from 21 participants, including Information Technology (IT) and security managers as well as employees from five organisations across various sectors in the country. The findings indicated that Namibian organisations are commitment to cybersecurity through comprehensive policies aligned with international standards. However, organisations face impediments that underscore the need for targeted strategies to overcome barriers to policy enforcement. From these finding a framework was designed with strategies and action plans and evaluated by industry experts. The CSPIC framework was considered Good (rating 2) in most areas by the experts. Gaps in existing frameworks such as usability, adoptability, and budget prioritization were addressed by the proposed CSPIC framework. The Cybersecurity Policy Implementation and Compliance (CSPIC) framework's uniqueness lies in its local adaptability, actionable strategies, and emphasis on leadership and employee engagement
Improving Dolan Banyumas App: A Design Thinking Approach to Enhance Tourism Services
Full text linkThe Dolan Banyumas application is a digital step to support tourism in Banyumas Regency. However, the results of observations and evaluations conducted show that the design of the user interface (UI) and user experience (UX) of this application is still less than optimal, with incomplete information, confusing navigation, and unattractive application design. This study aims to redesign the application using the Design Thinking approach, which consists of five stages: empathize, define, ideate, prototype, and test stages. Usability was assessed using the System Usability Scale (SUS) with a 10-question Likert scale survey distributed to 30 respondents. Evaluation results using the System Usability Scale (SUS) method showed an increase in the average score from 63 to 81.42, which classifies the app into the “Good” and “Acceptable” categories. Improvements include easier-to-use navigation, more complete tourist information, and the addition of new features such as ticket booking and bus tour maps. The user satisfaction rate increased from 60% to 87%, while efficiency rose by 30%. Based on Net Promoter Score (NPS), the app is categorized as “Promoter.” The Design Thinking approach proved effective in improving the quality of user experience
The Influence of Presidential Debate Comment Sentiment on YouTube on Candidate Electability: Naïve Bayes and Pearson Analysis
Full text linkCampaigns significantly influence candidate electability. Presidential debates, a key campaign strategy, generate extensive public comments on social media, reflecting voter sentiment. This study employs VADER for automated sentiment labeling and Naïve Bayes for classification, analyzing comments from the KPU and Najwa Shihab YouTube channels. Electability data were sourced from national survey reports for correlation analysis. Pearson correlation results indicate that positive sentiment has a moderate negative correlation with electability, while negative sentiment shows a strong positive correlation. This suggests that negative sentiment in YouTube comments is more indicative of a candidate’s rising electability, whereas positive sentiment does not necessarily translate into increased support. The Naïve Bayes model achieved 65% accuracy, 59% precision, 57% recall, and 57% F1-score when including neutral comments. Excluding neutral comments improved accuracy to 77%, with 68% precision, 68% recall, and 67% F1-score. The dataset comprised 17,872 comments, ensuring a robust sample. Despite these findings, limitations exist, such as potential biases in sentiment classification and representativeness, as social media users may not fully reflect the general voting population. Furthermore, while correlation is established, causality remains uncertain, requiring further research. This study enhances the understanding of social media sentiment in political campaigns and highlights the importance of integrating online sentiment analysis with traditional polling methods for a comprehensive assessment of electability
Exploring the Determinants of Advanced Big Data Analytics Adoption in Zimbabwe’s Telecom Sector: A TOE Framework Analysis
Full text linkThe way in which organisations conduct business has been revolutionised by Big Data Analytics (BDA). Several organisations have experienced improved productivity and effectiveness from the insights resulting from BDA which in turn impacts economic development. The adoption and use of BDA in the Zimbabwean telecommunication industry was limited. The aim of the research was to identify the factors limiting the adoption and usage of BDA within the Zimbabwean telecommunications industry. The objective of the research was therefore to pinpoint impediments which would then inform recommendations to improve the adoption and use of BDA in the Zimbabwean telecommunications industry. The study adopted critical realism and the Technology Organisation Environment (TOE) framework to identify the causal forces limiting the adoption and use of BDA. The findings indicate that IT infrastructure, service quality, senior management support, skills and expertise, financing, government policy, and economic conditions are the primary factors affecting BDA adoption
Mapping Trends in Air Quality Research in South Africa: A Bibliometric Analysis, 1998-2024
Full text linkThe 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
Development of a Student Depression Prediction Model Based on Machine Learning with Algorithm Performance Evaluation
Full text linkThis research explores the implementation of machine learning to predict depression among university students using a dataset of 2.028 responses containing PHQ-9 scores and academic-demographic attributes. The research implements a structured modeling process involving feature selection, normalization, the model’s efficacy was gauged through a suite of evaluate measures, encompassing accuracy, precision, recall, F1-score, The support vector machine (SVM) model’s accuracy improved from 58.8% to 99.5% after hyperparameter tuning. This investigation lends itself to the advancement of a proactive identification framework, which hold potential for incorporation within collegiate mental well-being surveillance infrastructures. Future implementations may consider real-time models and expand data sources through digital counseling systems and behavioral analytic
Mitigating Cybersecurity Risks in E-Waste: A Study on Secure Disposal Practices in Tanzania’s Public Institutions
No full textThe growing volume of electronic waste (e-waste) in Tanzanian public institutions poses serious cybersecurity risks, as discarded devices often contain sensitive data vulnerable to unauthorized access. This study examines these risks across 11 public institutions, involving IT staff, e-waste handlers, policymakers, and environmental officers. It applies Routine Activity Theory, a framework that explains risks as arising when cybercriminals exploit unsecured e-waste due to weak regulations. Through interviews and focus group discussions, the research identifies key vulnerabilities: data leakage from improper sanitization, regulatory gaps, and risks from informal disposal methods like auctions. These findings highlight the need for stronger oversight to prevent data breaches. The study proposes a framework that categorizes devices by risk level and integrates secure sanitization protocols, such as data wiping or destruction. Policymakers and institutions must urgently adopt these protocols to protect sensitive data and promote sustainable e-waste management in Tanzania’s public sector
From Traditional Marketplace to Online Shop: Shifting Shopping Patterns among University Students in Bangladesh
Full text linkThe explosive rise of e-commerce has largely changed shopping habits around the world, and university students are one of the biggest groups to have changed their ways of shopping. In Bangladesh, the change from conventional to digital shopping has been visible with the help of mobile technology, the impact of social media, and also due to the ease of online shopping. The study identifies the drivers of online shopping acceptance among university students in Bangladesh through the lens of theoretical framework based on TAM, UTAUT and TPB. Quantitative method was employed, and the data were collected using simple random sampling from 384 students, determined based on 95% confidence level and 5% margin of error, from three different universities in Bangladesh. The results suggest that the convenience, quickness, and the assortment of the product are the key motivations that drive students to online shopping. Besides, social media networks, mainly Facebook and Instagram, play an incredibly significant role in deciding to buy the students. However, issues like the delay in delivery, high delivery charges, and the question of products' authenticity have proven to be the barriers to the online shopping experience. The research advocates that a reduction in delivery fees, better logistics operations, and providing student discounts will lead to an increase in adoption of e-commerce in Bangladesh. Besides, it is essential to instill customer trust in e-commerce platforms by using secure payment systems and trustworthy products and delivery services
Evaluation of ICT Migration Plans in a Select Number of Companies in South Africa
Full text linkThe rapid evolution of the Information and Communication Technology (ICT) industry has made ICT migration a critical component for companies seeking to enhance productivity, efficiency, and competitiveness. However, migration often presents challenges, including high costs, system compatibility issues, cybersecurity risks, and employee resistance to change. This study evaluates the ICT migration plans of selected companies in South Africa, examining their strategies, challenges, and overall effectiveness.
Using a mixed-methods approach, the research integrates qualitative and quantitative data collected through interviews, surveys, and document analysis. Companies are selected through purposive sampling to ensure diversity in industry, size, and ICT readiness. The study focuses on analyzing existing ICT infrastructure, identifying migration obstacles, assessing the success of implemented plans, and providing recommendations for improvement. Key assessment areas include cost-effectiveness, system scalability, cybersecurity measures, employee training, and post-migration performance. The findings of this study will contribute to the existing literature on ICT migration while offering practical insights for businesses aiming to implement or refine their migration strategies. Additionally, it will provide valuable recommendations for industries and IT professionals, facilitating smoother and more efficient ICT transitions in South Africa