Journal of Information Systems and Informatics (Journal-ISI)
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Usability of Mobile Learning Technologies in Open and Distance Learning
Full text linkMobile learning (m-learning) utilizes portable devices like smartphones and tablets for educational purposes and is gaining popularity, particularly in open and distance learning (ODL) contexts. This study explores the usability of mobile learning technologies among undergraduate students in ODL. An online survey questionnaire was administered to undergraduates enrolled in a Business course in Botswana and a usability conceptual model was developed. The findings revealed that predominant opportunities of using mobile learning technologies in ODL include improved student interaction and flexible learning schedules. Likewise, challenges embraced limited battery life, small screens, distractions from phone calls and notifications, and the high cost of internet bundles. To enhance adoption of mobile learning, the study recommends investments in infrastructure and internet connectivity. Furthermore, it suggests reducing internet costs through initiatives like government subsidies or partnerships with Telecom providers. Additionally, the study highlights the importance of training ODL educators and students in effective mobile learning technology utilization
Unlocking the Influence of Digital Marketing Strategies on Startup Performance: A Case Study in Bangladesh
Full text linkThis study investigates the impact of different digital marketing tools on the growth and sustainability of startups in Rangpur City, Bangladesh. With the proliferation of digital technology, entrepreneurs in Rangpur are increasingly employing strategies such as social media marketing, search engine optimization (SEO), e-mail marketing, and social networking to augment their exposure and compete in local and global markets. The research aims to analyze different digital marketing methods, and identify challenges that impacts on business performance in Rangpur city. A survey of 132 startup entrepreneurs and business professionals indicates that digital marketing, mainly social media marketing and social networking, substantially impacts business success by explaining 75.3% of the variance in performance outcomes. The findings suggest enterprises with less than 10 years of Operation should emphasize digital marketing specifically social media marketing to leverage the expanding digital trend, particularly in the restaurant, retail, and textile industries. Despite its diminished effectiveness, e-mail marketing continues to be a technique that warrants optimization. The findings offer substantial insights for entrepreneurs, marketers, and policymakers, emphasizing the essential function of digital marketing in facilitating corporate growth and economic development in emerging countries like Bangladesh. This study contributes to the existing literature by highlighting the importance of digital marketing tools for startups in growing regions like Rangpur City. It provides practical recommendations for enhancing digital marketing tactics to promote business success and growth
BlueHarvest: Enhancing Indonesian Aquaculture with a Market-Driven UI/UX Design
Full text linkThis research aims to design the user interface (UI) and user experience (UX) of an aquaculture marketplace application to improve the promotion and marketing of Indonesian fishery products through an application called “BlueHarvest”. Using the double diamond method, this research explored the needs of expert and non-expert users in the field of aquaculture to create an attractive and intuitive solution. The research started with surveys and interviews to collect in-depth data visualized in empathy maps and user journeys, which revealed key user-centric features such as a dynamic price dashboard to know real-time market trends, a pond monitoring system to help fishermen and buyers, and offering articles on aquaculture as well as aquaculture product recommendations. Usability testing results showed that the app design was generally easy to understand, although there were some suggestions to improve the icons, layout and search filter features. These findings indicate that the applied design approach successfully built a solid user experience foundation, although further refinements are needed for optimal usability
Advancing Diversity in Recommendation Systems Through Collaborative Filtering: A Focus on Media Content
Full text linkA recommendation system provides suggestions based on user preferences, interests, or behavior. However, a major challenge is its tendency to generate monotonous recommendations, reducing diversity and limiting new user experiences. Therefore, increasing diversity is essential to enhance user experience and satisfaction while maintaining recommendation accuracy. This research proposes to apply collaborative filtering method, which focuses on item-based filtering using KNN. This method focuses on item similarity using cosine similarity. To enhance diversity, the system filters results based on similarity and rating thresholds. The evaluation results confirm that applying a similarity threshold increases recommendation diversity, as indicated by consistently higher individual diversity values. Clustering further enhances individual diversity. Findings show that the highest individual diversity with clustering reaches 0.5719, compared to 0.5706 without clustering. These improvements suggest potential applications in domains such as e-commerce and music recommendation systems
Digital Forensic Analysis of UAV Flight Data Using Static and Dynamic Methods in Coal Mining Area
Full text linkUnmanned Aerial Vehicles (UAV) have become vital tools in industrial sectors such as coal mining for site inspections and operational monitoring. However, unauthorized UAV flights present security risks that necessitate forensic investigation. This study examines a forensic case involving a DJI Mini 3 UAV suspected of crossing company boundaries. Using the Conceptual Digital Forensics Model for the Drone Forensic Field, both static and dynamic forensic acquisition methods were applied. Static acquisition recovered 53 photographs, 11 videos, 11 audio files, 10 deleted photos, 4 deleted videos, and 3 unidentified log files. Dynamic acquisition yielded 64 media files including 63 photographs (.JPG and .jpg) with 10 deleted, 14 videos (.MP4, .MOV, .SWF) with 6 deleted, 11 audio files, 4 plain text files, 31 deleted files, 3 EXIF metadata records containing GPS coordinates, and 3 unidentified log files. The GPS data from EXIF metadata was visualized in Google Earth to map flight paths and confirm boundary violations. These findings demonstrate that dynamic acquisition retrieves a more comprehensive artifact set than static acquisition. This study highlights the importance of UAV digital forensics in supporting security investigations and ensuring compliance with industrial UAV policies
Agile-Scrum Methodology for Hospital Information System Development
Full text linkHospitals face significant challenges in managing large and complex data, and Hospital Information Systems (SIRS) are essential for supporting hospital operations. However, many SIRS projects experience delays and failures due to rigid development approaches. Agile-Scrum is proposed as a more flexible and adaptive solution, emphasizing collaboration and iterative processes to enhance the quality of healthcare services. This qualitative case study, conducted in a hospital with an internal development team, used observations, document analysis, and semi-structured interviews with 10 participants, including developers, a Scrum Master, and key hospital stakeholders. The findings indicate that implementing Agile-Scrum led to a 35% increase in team collaboration, a 40% improvement in responsiveness to changing requirements, and a 30% boost in overall project efficiency. The study highlights the effectiveness of Agile-Scrum in managing the complexities of SIRS development, especially through backlog organization, sprint planning, and stakeholder feedback. The study suggests further research to assess the long-term impact of Agile-Scrum in other information system development contexts
Impact Assessment of Digital Learning Tools in South African Higher Education
Full text linkTechnological advancements have significantly reshaped the operational landscape of tertiary institutions, enhancing both student and academic efficiency processes. In South Africa, many students in higher learning institutions scrambled to use technology for teaching and learning due to load shedding, poor internet connectivity, lack of technological skills, lack of technology training by the tertiary institutions, etc. This study employs the UTAUT to understand better how technological innovations impact South African higher institutions. The UTAUT model includes components such as effort expectancy, self-awareness, social influence, facilitating conditions, and voluntary use to fully understand the factors influencing technology development and adoption. Three hundred and ten (N=310) students from underprivileged tertiary institutions in the Eastern Cape participated in this study. The study used a quantitative research methodology based on a 5-point Likert scale to gauge the respondents' intention to use technology for teaching and learning. Regression analysis and NOVA statistical tools were used to analyse the acquired data. The findings revealed that most participating students believe that technological advancements had a positive impact on their ability to teach and learn. The research findings imply that faculty should implement training programs on digital tools, improve IT infrastructure, provision of free internet bundles, and develop policies that support the adoption of e-learning technologies
Evaluation of Machine Learning Models for Sentiment Analysis in the South Sumatra Governor Election Using Data Balancing Techniques
Full text linkSentiment analysis is crucial for understanding public opinion, especially in political contexts like the 2024 South Sumatra gubernatorial election. Social media platforms such as Twitter and YouTube provide key sources of public sentiment, which can be analyzed using machine learning to classify opinions as positive, neutral, or negative. However, challenges such as data imbalance and selecting the right model to improve classification accuracy remain significant. This study compares five machine learning algorithms (SVM, Naïve Bayes, KNN, Decision Tree, and Random Forest) and examines the impact of data balancing on their performance. Data was collected via Twitter crawling (140 entries) and YouTube scraping (384 entries), and text features were extracted using CountVectorizer. The models were then evaluated on imbalanced and balanced datasets using accuracy, precision, recall, and F1-score. The Decision Tree and Random Forest models achieved the highest accuracies of 79.22% and 75.32% on imbalanced data, respectively. However, they also exhibited overfitting, as indicated by their near-perfect training performance. Naïve Bayes, on the other hand, demonstrated the lowest accuracy at 54.55% despite achieving high precision, suggesting frequent misclassification, particularly for the minority class. SVM and KNN also struggled with imbalanced data, recording accuracies of 58.44% and 63.64%, respectively. Significant improvements were observed after applying data balancing techniques. The accuracy of SVM increased to 71.43%, and KNN improved to 66.23%, indicating that these models are more stable and effective when class distributions are even. These findings highlight the substantial impact of data balancing on model performance, particularly for methods sensitive to class distribution. While tree-based models achieved high accuracy on imbalanced data, their tendency to overfit underscores the importance of balancing techniques to enhance model generalization
Enhancing Tourist Experience at Ponot Waterfall with a Mobile E-Ticket Application Using FAST Methodology
Full text linkTechnology played a crucial role in tourism management, particularly through mobile-based e-commerce, which facilitated transactions. This sector supported national development by creating business opportunities, employment, and promoting cultural preservation and environmental sustainability. Ponot Waterfall, located in Tangga Village, Aek Songsongan, Asahan, became a tourist destination due to its natural beauty and conservation efforts. However, the manual ticketing system often led to long queues and inconvenience, especially during holiday seasons. Additionally, the use of paper-based tickets posed environmental pollution risks. As the number of tourists increased, an application-based e-ticketing system emerged as a solution for accessing ticket information, making purchases, and processing online payments. This study aimed to develop a mobile e-ticketing application for Ponot Waterfall using the FAST method to optimize user needs and enhance the visitor experience in e-ticketing system development. The goal was to improve purchasing efficiency, reduce queues, and enhance the overall visitor experience. The application facilitated information access, supported online payments, improved tourism management, and minimized the environmental impact of paper-based ticketing. The results of this study indicated that the mobile-based e-ticketing application at Ponot Waterfall successfully enhanced transaction efficiency, reduced long queues, eliminated the use of paper tickets, and simplified access to tourism information. The majority of users utilized online ticket booking and digital payment methods as the primary features, proving that the system effectively addressed the challenges associated with the previous manual system
Sentiment Analysis of 'Free Lunch for Children' Policy on Social Media X Using Random Forest Algorithm
Full text linkThe concept of a welfare state emphasizes the main role of the government in providing protection and improving welfare such as health and education to its people. The free lunch program proposed by Prabowo Subianto and Gibran Rakabuming Raka aims to improve the nutritional quality of school children while driving the national economy. The public's reaction to Prabowo Subianto's work program plan, on free school lunch program and nutritional support for Indonesian students, is very diverse in perspective on X. The Random Forest algorithm proved to be quite effective in classifying public sentiment regarding the policy of “Free Lunch for Children.” With an overall accuracy of 73%, the model was able to categorize public opinion into positive, negative, and neutral categories. To improve the performance of the model, upsampling was performed to balance the classes in the dataset as well as hyperparameter tuning. After applying these techniques, the accuracy of the model increased significantly to 80%